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+      <a href="../../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/_modules/torchaudio/sox_effects/sox_effects.html b/main/_modules/torchaudio/sox_effects/sox_effects.html
index 7989c25ea5..be5d7ff3f5 100644
--- a/main/_modules/torchaudio/sox_effects/sox_effects.html
+++ b/main/_modules/torchaudio/sox_effects/sox_effects.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects.sox_effects &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.sox_effects.sox_effects &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torchaudio/transforms/_multi_channel.html b/main/_modules/torchaudio/transforms/_multi_channel.html
index 83de387dd6..63e1248cbc 100644
--- a/main/_modules/torchaudio/transforms/_multi_channel.html
+++ b/main/_modules/torchaudio/transforms/_multi_channel.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.transforms._multi_channel &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.transforms._multi_channel &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torchaudio/transforms/_transforms.html b/main/_modules/torchaudio/transforms/_transforms.html
index 691757dd1a..bad68fdca4 100644
--- a/main/_modules/torchaudio/transforms/_transforms.html
+++ b/main/_modules/torchaudio/transforms/_transforms.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.transforms._transforms &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.transforms._transforms &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torchaudio/utils/sox_utils.html b/main/_modules/torchaudio/utils/sox_utils.html
index b6322db3c7..be5715d1cc 100644
--- a/main/_modules/torchaudio/utils/sox_utils.html
+++ b/main/_modules/torchaudio/utils/sox_utils.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.utils.sox_utils &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.utils.sox_utils &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torio/io/_streaming_media_decoder.html b/main/_modules/torio/io/_streaming_media_decoder.html
index 16b7e82f98..9e0042070e 100644
--- a/main/_modules/torio/io/_streaming_media_decoder.html
+++ b/main/_modules/torio/io/_streaming_media_decoder.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.io._streaming_media_decoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torio.io._streaming_media_decoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torio/io/_streaming_media_encoder.html b/main/_modules/torio/io/_streaming_media_encoder.html
index 41efde5515..ee3d13017e 100644
--- a/main/_modules/torio/io/_streaming_media_encoder.html
+++ b/main/_modules/torio/io/_streaming_media_encoder.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.io._streaming_media_encoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torio.io._streaming_media_encoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_modules/torio/utils/ffmpeg_utils.html b/main/_modules/torio/utils/ffmpeg_utils.html
index fcbb6cb58d..e8a3fceb51 100644
--- a/main/_modules/torio/utils/ffmpeg_utils.html
+++ b/main/_modules/torio/utils/ffmpeg_utils.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.utils.ffmpeg_utils &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torio.utils.ffmpeg_utils &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt b/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt
index f761137ac9..297abf3006 100644
--- a/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt
+++ b/main/_sources/tutorials/additive_synthesis_tutorial.rst.txt
@@ -58,8 +58,8 @@ Subtractive synthesis creates timbre by applying filters.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -626,7 +626,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  4.907 seconds)
+   **Total running time of the script:** ( 0 minutes  4.997 seconds)
 
 
 .. _sphx_glr_download_tutorials_additive_synthesis_tutorial.py:
diff --git a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
index 0177ff02d7..66495c853f 100644
--- a/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
+++ b/main/_sources/tutorials/asr_inference_with_ctc_decoder_tutorial.rst.txt
@@ -86,8 +86,8 @@ working with
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -141,7 +141,7 @@ tutorial <./speech_recognition_pipeline_tutorial.html>`__.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
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@@ -406,9 +406,9 @@ model can be large
 
  .. code-block:: none
 
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     28%|##7       | 831M/2.91G [00:17<00:36, 61.6MB/s]
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     29%|##8       | 863M/2.91G [00:18<00:33, 66.0MB/s]
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     30%|###       | 896M/2.91G [00:19<00:47, 45.7MB/s]
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     PretrainedFiles(lexicon='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt', tokens='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt', lm='/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin')
 
 
@@ -954,10 +954,10 @@ computation time.
 
  .. code-block:: none
 
-    beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0472 secs)
-    beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0499 secs)
-    beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1647 secs)
-    beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5378 secs)
+    beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0475 secs)
+    beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0512 secs)
+    beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1758 secs)
+    beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5493 secs)
 
 
 
@@ -1002,10 +1002,10 @@ hypotheses at the cost of computation.
 
  .. code-block:: none
 
-    beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1591 secs)
-    beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1787 secs)
-    beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1990 secs)
-    beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2287 secs)
+    beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1671 secs)
+    beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1861 secs)
+    beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.2101 secs)
+    beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2409 secs)
 
 
 
@@ -1051,10 +1051,10 @@ threshold such that plausible hypotheses are not pruned.
 
  .. code-block:: none
 
-    beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0281 secs)
-    beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0577 secs)
-    beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2087 secs)
-    beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2345 secs)
+    beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0290 secs)
+    beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0541 secs)
+    beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2218 secs)
+    beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2482 secs)
 
 
 
@@ -1098,9 +1098,9 @@ give more weight to the acoustic model score instead.
 
  .. code-block:: none
 
-    lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2571 secs)
-    lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2627 secs)
-    lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2421 secs)
+    lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2664 secs)
+    lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2758 secs)
+    lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2575 secs)
 
 
 
@@ -1121,7 +1121,7 @@ Additional parameters that can be optimized include the following
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 3 minutes  5.115 seconds)
+   **Total running time of the script:** ( 2 minutes  14.079 seconds)
 
 
 .. _sphx_glr_download_tutorials_asr_inference_with_ctc_decoder_tutorial.py:
diff --git a/main/_sources/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.rst.txt b/main/_sources/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.rst.txt
index d0ebd43165..f9fe7dd90a 100644
--- a/main/_sources/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.rst.txt
+++ b/main/_sources/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.rst.txt
@@ -79,8 +79,8 @@ working with
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -140,7 +140,7 @@ In this tutorial, we only use CTC head of the model.
 
  .. code-block:: none
 
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@@ -169,7 +169,7 @@ We will load a sample from the LibriSpeech test-other dataset.
 
  .. code-block:: none
 
-
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+
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 .. raw:: html
@@ -247,7 +247,7 @@ index, or as a list of tokens, each mapping to a unique index.
 
  .. code-block:: none
 
-
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     ['<blk>', '<sos/eos>', '<unk>', 'S', '▁THE', '▁A', 'T', '▁AND', 'ED', '▁OF', '▁TO', 'E', 'D', 'N', 'ING', '▁IN', 'Y', 'M', 'C', '▁I', 'A', 'P', '▁HE', 'R', 'O', 'L', 'RE', 'I', 'U', 'ER', '▁IT', 'LY', '▁THAT', '▁WAS', '▁', '▁S', 'AR', '▁BE', 'F', '▁C', 'IN', 'B', '▁FOR', 'OR', 'LE', "'", '▁HIS', '▁YOU', 'AL', '▁RE', 'V', '▁B', 'G', 'RI', '▁E', '▁WITH', '▁T', '▁AS', 'LL', '▁P', '▁HER', 'ST', '▁HAD', '▁SO', '▁F', 'W', 'CE', '▁IS', 'ND', '▁NOT', 'TH', '▁BUT', 'EN', '▁SHE', '▁ON', 'VE', 'ON', 'SE', '▁DE', 'UR', '▁G', 'CH', 'K', 'TER', '▁AT', 'IT', '▁ME', 'RO', 'NE', 'RA', 'ES', 'IL', 'NG', 'IC', '▁NO', '▁HIM', 'ENT', 'IR', '▁WE', 'H', '▁DO', '▁ALL', '▁HAVE', 'LO', '▁BY', '▁MY', '▁MO', '▁THIS', 'LA', '▁ST', '▁WHICH', '▁CON', '▁THEY', 'CK', 'TE', '▁SAID', '▁FROM', '▁GO', '▁WHO', '▁TH', '▁OR', '▁D', '▁W', 'VER', 'LI', '▁SE', '▁ONE', '▁CA', '▁AN', '▁LA', '▁WERE', 'EL', '▁HA', '▁MAN', '▁FA', '▁EX', 'AD', '▁SU', 'RY', '▁MI', 'AT', '▁BO', '▁WHEN', 'AN', 'THER', 'PP', 'ATION', '▁FI', '▁WOULD', '▁PRO', 'OW', 'ET', '▁O', '▁THERE', '▁HO', 'ION', '▁WHAT', '▁FE', '▁PA', 'US', 'MENT', '▁MA', 'UT', '▁OUT', '▁THEIR', '▁IF', '▁LI', '▁K', '▁WILL', '▁ARE', 'ID', '▁RO', 'DE', 'TION', '▁WA', 'PE', '▁UP', '▁SP', '▁PO', 'IGHT', '▁UN', 'RU', '▁LO', 'AS', 'OL', '▁LE', '▁BEEN', '▁SH', '▁RA', '▁SEE', 'KE', 'UL', 'TED', '▁SA', 'UN', 'UND', 'ANT', '▁NE', 'IS', '▁THEM', 'CI', 'GE', '▁COULD', '▁DIS', 'OM', 'ISH', 'HE', 'EST', '▁SOME', 'ENCE', 'ITY', 'IVE', '▁US', '▁MORE', '▁EN', 'ARD', 'ATE', '▁YOUR', '▁INTO', '▁KNOW', '▁CO', 'ANCE', '▁TIME', '▁WI', '▁YE', 'AGE', '▁NOW', 'TI', 'FF', 'ABLE', '▁VERY', '▁LIKE', 'AM', 'HI', 'Z', '▁OTHER', '▁THAN', '▁LITTLE', '▁DID', '▁LOOK', 'TY', 'ERS', '▁CAN', '▁CHA', '▁AR', 'X', 'FUL', 'UGH', '▁BA', '▁DAY', '▁ABOUT', 'TEN', 'IM', '▁ANY', '▁PRE', '▁OVER', 'IES', 'NESS', 'ME', 'BLE', '▁M', 'ROW', '▁HAS', '▁GREAT', '▁VI', 'TA', '▁AFTER', 'PER', '▁AGAIN', 'HO', 'SH', '▁UPON', '▁DI', '▁HAND', '▁COM', 'IST', 'TURE', '▁STA', '▁THEN', '▁SHOULD', '▁GA', 'OUS', 'OUR', '▁WELL', '▁ONLY', 'MAN', '▁GOOD', '▁TWO', '▁MAR', '▁SAY', '▁HU', 'TING', '▁OUR', 'RESS', '▁DOWN', 'IOUS', '▁BEFORE', '▁DA', '▁NA', 'QUI', '▁MADE', '▁EVERY', '▁OLD', '▁EVEN', 'IG', '▁COME', '▁GRA', '▁RI', '▁LONG', 'OT', 'SIDE', 'WARD', '▁FO', '▁WHERE', 'MO', 'LESS', '▁SC', '▁MUST', '▁NEVER', '▁HOW', '▁CAME', '▁SUCH', '▁RU', '▁TAKE', '▁WO', '▁CAR', 'UM', 'AK', '▁THINK', '▁MUCH', '▁MISTER', '▁MAY', '▁JO', '▁WAY', '▁COMP', '▁THOUGHT', '▁STO', '▁MEN', '▁BACK', '▁DON', 'J', '▁LET', '▁TRA', '▁FIRST', '▁JUST', '▁VA', '▁OWN', '▁PLA', '▁MAKE', 'ATED', '▁HIMSELF', '▁WENT', '▁PI', 'GG', 'RING', '▁DU', '▁MIGHT', '▁PART', '▁GIVE', '▁IMP', '▁BU', '▁PER', '▁PLACE', '▁HOUSE', '▁THROUGH', 'IAN', '▁SW', '▁UNDER', 'QUE', '▁AWAY', '▁LOVE', 'QUA', '▁LIFE', '▁GET', '▁WITHOUT', '▁PASS', '▁TURN', 'IGN', '▁HEAD', '▁MOST', '▁THOSE', '▁SHALL', '▁EYES', '▁COL', '▁STILL', '▁NIGHT', '▁NOTHING', 'ITION', 'HA', '▁TELL', '▁WORK', '▁LAST', '▁NEW', '▁FACE', '▁HI', '▁WORD', '▁FOUND', '▁COUNT', '▁OB', '▁WHILE', '▁SHA', '▁MEAN', '▁SAW', '▁PEOPLE', '▁FRIEND', '▁THREE', '▁ROOM', '▁SAME', '▁THOUGH', '▁RIGHT', '▁CHILD', '▁FATHER', '▁ANOTHER', '▁HEART', '▁WANT', '▁TOOK', 'OOK', '▁LIGHT', '▁MISSUS', '▁OPEN', '▁JU', '▁ASKED', 'PORT', '▁LEFT', '▁JA', '▁WORLD', '▁HOME', '▁WHY', '▁ALWAYS', '▁ANSWER', '▁SEEMED', '▁SOMETHING', '▁GIRL', '▁BECAUSE', '▁NAME', '▁TOLD', '▁NI', '▁HIGH', 'IZE', '▁WOMAN', '▁FOLLOW', '▁RETURN', '▁KNEW', '▁EACH', '▁KIND', '▁JE', '▁ACT', '▁LU', '▁CERTAIN', '▁YEARS', '▁QUITE', '▁APPEAR', '▁BETTER', '▁HALF', '▁PRESENT', '▁PRINCE', 'SHIP', '▁ALSO', '▁BEGAN', '▁HAVING', '▁ENOUGH', '▁PERSON', '▁LADY', '▁WHITE', '▁COURSE', '▁VOICE', '▁SPEAK', '▁POWER', '▁MORNING', '▁BETWEEN', '▁AMONG', '▁KEEP', '▁WALK', '▁MATTER', '▁TEA', '▁BELIEVE', '▁SMALL', '▁TALK', '▁FELT', '▁HORSE', '▁MYSELF', '▁SIX', '▁HOWEVER', '▁FULL', '▁HERSELF', '▁POINT', '▁STOOD', '▁HUNDRED', '▁ALMOST', '▁SINCE', '▁LARGE', '▁LEAVE', '▁PERHAPS', '▁DARK', '▁SUDDEN', '▁REPLIED', '▁ANYTHING', '▁WONDER', '▁UNTIL', 'Q']
 
 
@@ -486,7 +486,7 @@ of 3 provides the same output as beam size 10.
 
  .. code-block:: none
 
-    beam size 1  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -1.35; 0.0010 secs)
+    beam size 1  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -1.35; 0.0009 secs)
     beam size 2  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.21; 0.0009 secs)
     beam size 3  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0009 secs)
     beam size 10 : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0010 secs)
@@ -533,7 +533,7 @@ We recommend to set blank_skip_threshold=0.95 for cuda beam search decoder.
 
  .. code-block:: none
 
-    blank_skip_threshold 0.25: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: -0.01; 0.0009 secs)
+    blank_skip_threshold 0.25: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: -0.01; 0.0010 secs)
     blank_skip_threshold 0.95: i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0010 secs)
     blank_skip_threshold 1.0: i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.21; 0.0044 secs)
 
@@ -564,7 +564,7 @@ From the above table, CUDA decoder could give a slight improvement in WER and a
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.783 seconds)
+   **Total running time of the script:** ( 0 minutes  7.457 seconds)
 
 
 .. _sphx_glr_download_tutorials_asr_inference_with_cuda_ctc_decoder_tutorial.py:
diff --git a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
index c5a6c752c3..7158159870 100644
--- a/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_data_augmentation_tutorial.rst.txt
@@ -52,8 +52,8 @@ At the end, we synthesize noisy speech over phone from clean speech.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -89,9 +89,9 @@ First, we import the modules and download the audio assets we use in this tutori
 
  .. code-block:: none
 
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@@ -1268,7 +1268,7 @@ Codec applied
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  14.156 seconds)
+   **Total running time of the script:** ( 0 minutes  15.432 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_data_augmentation_tutorial.py:
diff --git a/main/_sources/tutorials/audio_datasets_tutorial.rst.txt b/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
index 07c7d42bc7..bef3ab195b 100644
--- a/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_datasets_tutorial.rst.txt
@@ -46,8 +46,8 @@ available datasets.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -106,7 +106,7 @@ Here, we show how to use the
 
  .. code-block:: none
 
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+
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@@ -209,7 +209,7 @@ Here, we show how to use the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.954 seconds)
+   **Total running time of the script:** ( 0 minutes  1.922 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_datasets_tutorial.py:
diff --git a/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt b/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
index efc9b38e8f..c63237f8cf 100644
--- a/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_feature_augmentation_tutorial.rst.txt
@@ -47,8 +47,8 @@ Audio Feature Augmentation
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -354,7 +354,7 @@ Time and Frequency Masking
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.211 seconds)
+   **Total running time of the script:** ( 0 minutes  2.219 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_feature_augmentation_tutorial.py:
diff --git a/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt b/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
index b2af396047..35d387bb1c 100644
--- a/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_feature_extractions_tutorial.rst.txt
@@ -58,8 +58,8 @@ They can be serialized using TorchScript.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -910,7 +910,7 @@ Pitch
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  9.870 seconds)
+   **Total running time of the script:** ( 0 minutes  10.218 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_feature_extractions_tutorial.py:
diff --git a/main/_sources/tutorials/audio_io_tutorial.rst.txt b/main/_sources/tutorials/audio_io_tutorial.rst.txt
index a68ace036b..94a928f630 100644
--- a/main/_sources/tutorials/audio_io_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_io_tutorial.rst.txt
@@ -51,8 +51,8 @@ load them into PyTorch Tensors and save PyTorch Tensors.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -114,8 +114,8 @@ First, we import the modules and download the audio assets we use in this tutori
 
  .. code-block:: none
 
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@@ -467,7 +467,7 @@ The following examples illustrate this.
 
  .. code-block:: none
 
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@@ -654,7 +654,7 @@ the provided data fit
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmppsxw0re9/save_example_default.wav
+    Source: /tmp/tmp_0ct_uw2/save_example_default.wav
     ----------
      - File size: 108878 bytes
      - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -687,7 +687,7 @@ The resulting file occupies half the storage but loses precision
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmpm3m4q8ju/save_example_PCM_S16.wav
+    Source: /tmp/tmp1wv6v524/save_example_PCM_S16.wav
     ----------
      - File size: 108878 bytes
      - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -743,7 +743,7 @@ To name a few:
  .. code-block:: none
 
     ----------
-    Source: /tmp/tmpu53r7fzy/save_example.flac
+    Source: /tmp/tmpfxm8l6_c/save_example.flac
     ----------
      - File size: 45262 bytes
      - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=16, encoding=FLAC)
@@ -792,7 +792,7 @@ required.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.624 seconds)
+   **Total running time of the script:** ( 0 minutes  2.054 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_io_tutorial.py:
diff --git a/main/_sources/tutorials/audio_resampling_tutorial.rst.txt b/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
index 6dea10aefa..3613e846f0 100644
--- a/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
+++ b/main/_sources/tutorials/audio_resampling_tutorial.rst.txt
@@ -46,8 +46,8 @@ This tutorial shows how to use torchaudio's resampling API.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -657,7 +657,7 @@ in ``torchaudio``.
 
  .. code-block:: none
 
-    torchaudio: 2.5.0.dev20241017
+    torchaudio: 2.5.0.dev20241104
     librosa: 0.10.0
     resampy: 0.2.2
 
@@ -906,10 +906,10 @@ Downsample (48 -> 44.1 kHz)
  .. code-block:: none
 
                      librosa  functional  transforms
-    sinc (width 64)      NaN        0.89        0.38
-    sinc (width 16)      NaN        0.71        0.34
-    kaiser_best        83.50        1.29        0.37
-    kaiser_fast         7.89        0.96        0.35
+    sinc (width 64)      NaN        0.95        0.39
+    sinc (width 16)      NaN        0.75        0.35
+    kaiser_best        82.68        1.34        0.41
+    kaiser_fast         7.87        0.95        0.35
 
 
 
@@ -941,10 +941,10 @@ Downsample (16 -> 8 kHz)
  .. code-block:: none
 
                      librosa  functional  transforms
-    sinc (width 64)      NaN        1.29        1.10
-    sinc (width 16)      NaN        0.52        0.38
-    kaiser_best        11.30        1.35        1.16
-    kaiser_fast         3.16        0.66        0.39
+    sinc (width 64)      NaN        1.31        1.11
+    sinc (width 16)      NaN        0.53        0.38
+    kaiser_best        11.26        1.39        1.17
+    kaiser_fast         3.13        0.69        0.41
 
 
 
@@ -976,10 +976,10 @@ Upsample (44.1 -> 48 kHz)
  .. code-block:: none
 
                      librosa  functional  transforms
-    sinc (width 64)      NaN        0.88        0.37
-    sinc (width 16)      NaN        0.70        0.33
-    kaiser_best        33.32        1.11        0.37
-    kaiser_fast         7.88        0.93        0.34
+    sinc (width 64)      NaN        0.92        0.39
+    sinc (width 16)      NaN        0.71        0.35
+    kaiser_best        32.63        1.13        0.39
+    kaiser_fast         7.82        0.99        0.35
 
 
 
@@ -1011,10 +1011,10 @@ Upsample (8 -> 16 kHz)
  .. code-block:: none
 
                      librosa  functional  transforms
-    sinc (width 64)      NaN        0.67        0.47
-    sinc (width 16)      NaN        0.35        0.21
-    kaiser_best        11.22        0.71        0.49
-    kaiser_fast         3.00        0.40        0.23
+    sinc (width 64)      NaN        0.65        0.43
+    sinc (width 16)      NaN        0.36        0.21
+    kaiser_best        11.19        0.65        0.45
+    kaiser_fast         2.96        0.40        0.22
 
 
 
@@ -1039,7 +1039,7 @@ To elaborate on the results:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.348 seconds)
+   **Total running time of the script:** ( 0 minutes  3.359 seconds)
 
 
 .. _sphx_glr_download_tutorials_audio_resampling_tutorial.py:
diff --git a/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt b/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt
index a380e664c9..78ea92ff1c 100644
--- a/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt
+++ b/main/_sources/tutorials/ctc_forced_alignment_api_tutorial.rst.txt
@@ -65,8 +65,8 @@ Preparation
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -175,7 +175,7 @@ the transcript.
  .. code-block:: none
 
     Downloading: "https://dl.fbaipublicfiles.com/mms/torchaudio/ctc_alignment_mling_uroman/model.pt" to /root/.cache/torch/hub/checkpoints/model.pt
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@@ -1456,7 +1456,7 @@ forced aligner API.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  9.681 seconds)
+   **Total running time of the script:** ( 0 minutes  10.789 seconds)
 
 
 .. _sphx_glr_download_tutorials_ctc_forced_alignment_api_tutorial.py:
diff --git a/main/_sources/tutorials/effector_tutorial.rst.txt b/main/_sources/tutorials/effector_tutorial.rst.txt
index fe4048869f..04df744710 100644
--- a/main/_sources/tutorials/effector_tutorial.rst.txt
+++ b/main/_sources/tutorials/effector_tutorial.rst.txt
@@ -68,8 +68,8 @@ The following figure illustrates the process.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -1368,7 +1368,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.032 seconds)
+   **Total running time of the script:** ( 0 minutes  3.031 seconds)
 
 
 .. _sphx_glr_download_tutorials_effector_tutorial.py:
diff --git a/main/_sources/tutorials/filter_design_tutorial.rst.txt b/main/_sources/tutorials/filter_design_tutorial.rst.txt
index 473cd3a19d..6393faaf32 100644
--- a/main/_sources/tutorials/filter_design_tutorial.rst.txt
+++ b/main/_sources/tutorials/filter_design_tutorial.rst.txt
@@ -56,8 +56,8 @@ windowed-sinc kernels, and frequency sampling method.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -674,7 +674,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  5.182 seconds)
+   **Total running time of the script:** ( 0 minutes  5.238 seconds)
 
 
 .. _sphx_glr_download_tutorials_filter_design_tutorial.py:
diff --git a/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt
index 2c1659bf85..f895917284 100644
--- a/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt
+++ b/main/_sources/tutorials/forced_alignment_for_multilingual_data_tutorial.rst.txt
@@ -55,8 +55,8 @@ model, tokenizer and aligner, to perform the forced alignment with less code.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
     cuda
 
 
@@ -2039,7 +2039,7 @@ forced aligner API.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  3.606 seconds)
+   **Total running time of the script:** ( 0 minutes  3.886 seconds)
 
 
 .. _sphx_glr_download_tutorials_forced_alignment_for_multilingual_data_tutorial.py:
diff --git a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
index 8fb6e56aad..bdf023a3eb 100644
--- a/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
+++ b/main/_sources/tutorials/forced_alignment_tutorial.rst.txt
@@ -72,8 +72,8 @@ Recognition <https://arxiv.org/abs/2007.09127>`__.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
     cuda
 
 
@@ -1300,7 +1300,7 @@ perform CTC segmentation for forced alignment.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.729 seconds)
+   **Total running time of the script:** ( 0 minutes  1.737 seconds)
 
 
 .. _sphx_glr_download_tutorials_forced_alignment_tutorial.py:
diff --git a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
index 898932001e..1ad7a85954 100644
--- a/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
+++ b/main/_sources/tutorials/hybrid_demucs_tutorial.rst.txt
@@ -78,8 +78,8 @@ First, we install the necessary dependencies. The first requirement is
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -146,7 +146,7 @@ and has a nfft value of 4096 with a depth of 6 in the model implementation.
 
  .. code-block:: none
 
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     /pytorch/audio/src/torchaudio/pipelines/_source_separation_pipeline.py:56: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
       state_dict = torch.load(path)
     Sample rate: 44100
@@ -313,7 +313,7 @@ separator in different ways.
 
  .. code-block:: none
 
-
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+
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     Separating track
 
 
@@ -413,10 +413,10 @@ scores.
 
  .. code-block:: none
 
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@@ -668,7 +668,7 @@ Other SDR, Spectrogram, and Audio
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  24.567 seconds)
+   **Total running time of the script:** ( 0 minutes  27.152 seconds)
 
 
 .. _sphx_glr_download_tutorials_hybrid_demucs_tutorial.py:
diff --git a/main/_sources/tutorials/mvdr_tutorial.rst.txt b/main/_sources/tutorials/mvdr_tutorial.rst.txt
index 07c634f18b..94659b4184 100644
--- a/main/_sources/tutorials/mvdr_tutorial.rst.txt
+++ b/main/_sources/tutorials/mvdr_tutorial.rst.txt
@@ -71,8 +71,8 @@ Steps:
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -156,8 +156,8 @@ which was generated with:
 
  .. code-block:: none
 
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+
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@@ -855,7 +855,7 @@ We can then obtain the enhanced waveform by passing this output to the
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  1.883 seconds)
+   **Total running time of the script:** ( 0 minutes  1.913 seconds)
 
 
 .. _sphx_glr_download_tutorials_mvdr_tutorial.py:
diff --git a/main/_sources/tutorials/nvdec_tutorial.rst.txt b/main/_sources/tutorials/nvdec_tutorial.rst.txt
index 954289bf72..9d751845a8 100644
--- a/main/_sources/tutorials/nvdec_tutorial.rst.txt
+++ b/main/_sources/tutorials/nvdec_tutorial.rst.txt
@@ -59,8 +59,8 @@ with TorchAudio, and how it improves the performance of video decoding.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -182,7 +182,7 @@ that support HW decoder/encoder.
  .. code-block:: none
 
     Avaialbe GPU:
-    _CudaDeviceProperties(name='NVIDIA A10G', major=8, minor=6, total_memory=22502MB, multi_processor_count=80, uuid=6a6538ed-21ff-6889-11e8-f367bc4ac41d, L2_cache_size=6MB)
+    _CudaDeviceProperties(name='NVIDIA A10G', major=8, minor=6, total_memory=22502MB, multi_processor_count=80, uuid=1790a81d-e849-fc0e-358f-b205e90278a1, L2_cache_size=6MB)
 
 
 
@@ -219,7 +219,7 @@ We will use the following video which has the following properties;
 
  .. code-block:: none
 
-
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+
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@@ -668,7 +668,7 @@ generated using the following command.
 
  .. code-block:: none
 
-
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    100%|##########| 232k/232k [00:00<00:00, 62.2MB/s]
+
      0%|          | 0.00/232k [00:00<?, ?B/s]
    100%|##########| 232k/232k [00:00<00:00, 79.2MB/s]
 
 
 
@@ -957,23 +957,23 @@ QVGA
 
  .. code-block:: none
 
-
      0%|          | 0.00/1.06M [00:00<?, ?B/s]
    100%|##########| 1.06M/1.06M [00:00<00:00, 176MB/s]
+
      0%|          | 0.00/1.06M [00:00<?, ?B/s]
    100%|##########| 1.06M/1.06M [00:00<00:00, 192MB/s]
     Testing: testsrc2_qvga.h264.mp4
     * Software decoding (num_threads=1)
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 900 frames in 0.51 seconds. (1780.94 fps)
+     - Processed 900 frames in 0.49 seconds. (1850.30 fps)
     * Software decoding (num_threads=4)
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 900 frames in 0.35 seconds. (2539.42 fps)
+     - Processed 900 frames in 0.34 seconds. (2672.45 fps)
     * Software decoding (num_threads=8)
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 900 frames in 0.37 seconds. (2429.16 fps)
+     - Processed 900 frames in 0.34 seconds. (2655.28 fps)
     * Software decoding (num_threads=16)
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 895 frames in 0.39 seconds. (2272.61 fps)
+     - Processed 895 frames in 0.36 seconds. (2514.83 fps)
     * Hardware decoding
      - Shape: torch.Size([5, 3, 240, 320])
-     - Processed 900 frames in 2.01 seconds. (447.63 fps)
+     - Processed 900 frames in 2.02 seconds. (445.88 fps)
 
 
 
@@ -999,23 +999,23 @@ VGA
 
  .. code-block:: none
 
-
      0%|          | 0.00/3.59M [00:00<?, ?B/s]
    100%|##########| 3.59M/3.59M [00:00<00:00, 370MB/s]
+
      0%|          | 0.00/3.59M [00:00<?, ?B/s]
    100%|##########| 3.59M/3.59M [00:00<00:00, 169MB/s]
     Testing: testsrc2_vga.h264.mp4
     * Software decoding (num_threads=1)
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 900 frames in 1.19 seconds. (753.79 fps)
+     - Processed 900 frames in 1.21 seconds. (744.62 fps)
     * Software decoding (num_threads=4)
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 900 frames in 0.66 seconds. (1358.71 fps)
+     - Processed 900 frames in 0.61 seconds. (1478.50 fps)
     * Software decoding (num_threads=8)
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 900 frames in 0.65 seconds. (1377.95 fps)
+     - Processed 900 frames in 0.63 seconds. (1433.92 fps)
     * Software decoding (num_threads=16)
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 895 frames in 0.68 seconds. (1313.18 fps)
+     - Processed 895 frames in 0.61 seconds. (1476.78 fps)
     * Hardware decoding
      - Shape: torch.Size([5, 3, 480, 640])
-     - Processed 900 frames in 0.34 seconds. (2635.48 fps)
+     - Processed 900 frames in 0.34 seconds. (2632.81 fps)
 
 
 
@@ -1042,23 +1042,23 @@ XGA
 
  .. code-block:: none
 
-
      0%|          | 0.00/9.22M [00:00<?, ?B/s]
    100%|##########| 9.22M/9.22M [00:00<00:00, 177MB/s]
+
      0%|          | 0.00/9.22M [00:00<?, ?B/s]
    100%|##########| 9.22M/9.22M [00:00<00:00, 185MB/s]
     Testing: testsrc2_xga.h264.mp4
     * Software decoding (num_threads=1)
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 900 frames in 2.65 seconds. (339.10 fps)
+     - Processed 900 frames in 2.74 seconds. (328.40 fps)
     * Software decoding (num_threads=4)
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 900 frames in 1.27 seconds. (706.79 fps)
+     - Processed 900 frames in 1.39 seconds. (647.76 fps)
     * Software decoding (num_threads=8)
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 900 frames in 1.33 seconds. (677.44 fps)
+     - Processed 900 frames in 1.34 seconds. (671.66 fps)
     * Software decoding (num_threads=16)
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 895 frames in 1.35 seconds. (663.43 fps)
+     - Processed 895 frames in 1.38 seconds. (648.84 fps)
     * Hardware decoding
      - Shape: torch.Size([5, 3, 768, 1024])
-     - Processed 900 frames in 0.61 seconds. (1469.32 fps)
+     - Processed 900 frames in 0.61 seconds. (1471.53 fps)
 
 
 
@@ -1332,13 +1332,13 @@ QVGA
     Testing: testsrc2_qvga.h264.mp4
     * Software decoding with PyTorch interpolate
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.76 seconds. (1176.95 fps)
+     - Processed 900 frames in 0.65 seconds. (1381.87 fps)
     * Software decoding with FFmpeg scale
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.41 seconds. (2177.13 fps)
+     - Processed 900 frames in 0.36 seconds. (2526.35 fps)
     * Hardware decoding with resize
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 2.02 seconds. (446.24 fps)
+     - Processed 900 frames in 2.02 seconds. (444.45 fps)
 
 
 
@@ -1366,13 +1366,13 @@ VGA
     Testing: testsrc2_vga.h264.mp4
     * Software decoding with PyTorch interpolate
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 1.37 seconds. (657.75 fps)
+     - Processed 900 frames in 1.38 seconds. (650.54 fps)
     * Software decoding with FFmpeg scale
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.67 seconds. (1344.13 fps)
+     - Processed 900 frames in 0.62 seconds. (1462.53 fps)
     * Hardware decoding with resize
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.34 seconds. (2653.35 fps)
+     - Processed 900 frames in 0.34 seconds. (2653.54 fps)
 
 
 
@@ -1400,13 +1400,13 @@ XGA
     Testing: testsrc2_xga.h264.mp4
     * Software decoding with PyTorch interpolate
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 2.69 seconds. (334.22 fps)
+     - Processed 900 frames in 2.70 seconds. (333.34 fps)
     * Software decoding with FFmpeg scale
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 1.12 seconds. (806.66 fps)
+     - Processed 900 frames in 1.09 seconds. (827.10 fps)
     * Hardware decoding with resize
      - Shape: torch.Size([5, 3, 224, 224])
-     - Processed 900 frames in 0.61 seconds. (1479.64 fps)
+     - Processed 900 frames in 0.61 seconds. (1479.29 fps)
 
 
 
@@ -1480,7 +1480,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  32.078 seconds)
+   **Total running time of the script:** ( 0 minutes  30.686 seconds)
 
 
 .. _sphx_glr_download_tutorials_nvdec_tutorial.py:
diff --git a/main/_sources/tutorials/nvenc_tutorial.rst.txt b/main/_sources/tutorials/nvenc_tutorial.rst.txt
index 1f28da3c2b..770989253b 100644
--- a/main/_sources/tutorials/nvenc_tutorial.rst.txt
+++ b/main/_sources/tutorials/nvenc_tutorial.rst.txt
@@ -80,8 +80,8 @@ with TorchAudio, and how it improves the performance of video encoding.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -179,7 +179,7 @@ that support HW decoder/encoder.
  .. code-block:: none
 
     Avaialbe GPU:
-    _CudaDeviceProperties(name='NVIDIA A10G', major=8, minor=6, total_memory=22502MB, multi_processor_count=80, uuid=6a6538ed-21ff-6889-11e8-f367bc4ac41d, L2_cache_size=6MB)
+    _CudaDeviceProperties(name='NVIDIA A10G', major=8, minor=6, total_memory=22502MB, multi_processor_count=80, uuid=1790a81d-e849-fc0e-358f-b205e90278a1, L2_cache_size=6MB)
 
 
 
@@ -461,19 +461,19 @@ change.
 
     Testing resolution: 640x360
     * Software Encoder (num_threads=1)
-     - Processed 120 frames in 0.63 seconds. (190.09 fps)
+     - Processed 120 frames in 0.63 seconds. (189.06 fps)
      - Encoded data size: 381331 bytes
     * Software Encoder (num_threads=4)
-     - Processed 120 frames in 0.24 seconds. (499.85 fps)
+     - Processed 120 frames in 0.27 seconds. (445.74 fps)
      - Encoded data size: 381307 bytes
     * Software Encoder (num_threads=8)
-     - Processed 120 frames in 0.18 seconds. (650.79 fps)
+     - Processed 120 frames in 0.20 seconds. (607.58 fps)
      - Encoded data size: 390689 bytes
     * Hardware Encoder 
-     - Processed 120 frames in 0.05 seconds. (2254.01 fps)
+     - Processed 120 frames in 0.05 seconds. (2254.46 fps)
      - Encoded data size: 1262979 bytes
     * Hardware Encoder (CUDA frames)
-     - Processed 120 frames in 0.05 seconds. (2581.25 fps)
+     - Processed 120 frames in 0.05 seconds. (2599.73 fps)
      - Encoded data size: 1262979 bytes
 
 
@@ -502,19 +502,19 @@ change.
 
     Testing resolution: 1280x720
     * Software Encoder (num_threads=1)
-     - Processed 120 frames in 2.32 seconds. (51.75 fps)
+     - Processed 120 frames in 2.35 seconds. (51.12 fps)
      - Encoded data size: 1335451 bytes
     * Software Encoder (num_threads=4)
-     - Processed 120 frames in 0.88 seconds. (136.65 fps)
+     - Processed 120 frames in 0.90 seconds. (132.62 fps)
      - Encoded data size: 1336418 bytes
     * Software Encoder (num_threads=8)
-     - Processed 120 frames in 0.76 seconds. (158.75 fps)
+     - Processed 120 frames in 0.72 seconds. (166.49 fps)
      - Encoded data size: 1344063 bytes
     * Hardware Encoder 
-     - Processed 120 frames in 0.32 seconds. (369.69 fps)
+     - Processed 120 frames in 0.33 seconds. (365.19 fps)
      - Encoded data size: 1358969 bytes
     * Hardware Encoder (CUDA frames)
-     - Processed 120 frames in 0.15 seconds. (801.95 fps)
+     - Processed 120 frames in 0.15 seconds. (803.82 fps)
      - Encoded data size: 1358969 bytes
 
 
@@ -543,19 +543,19 @@ change.
 
     Testing resolution: 1920x1080
     * Software Encoder (num_threads=1)
-     - Processed 120 frames in 4.82 seconds. (24.88 fps)
+     - Processed 120 frames in 4.85 seconds. (24.72 fps)
      - Encoded data size: 2678241 bytes
     * Software Encoder (num_threads=4)
-     - Processed 120 frames in 1.83 seconds. (65.67 fps)
+     - Processed 120 frames in 1.85 seconds. (64.95 fps)
      - Encoded data size: 2682028 bytes
     * Software Encoder (num_threads=8)
-     - Processed 120 frames in 1.58 seconds. (75.85 fps)
+     - Processed 120 frames in 1.62 seconds. (74.29 fps)
      - Encoded data size: 2685086 bytes
     * Hardware Encoder 
-     - Processed 120 frames in 0.72 seconds. (167.06 fps)
+     - Processed 120 frames in 0.72 seconds. (166.27 fps)
      - Encoded data size: 1705900 bytes
     * Hardware Encoder (CUDA frames)
-     - Processed 120 frames in 0.32 seconds. (370.95 fps)
+     - Processed 120 frames in 0.32 seconds. (371.12 fps)
      - Encoded data size: 1705900 bytes
 
 
@@ -709,7 +709,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  23.360 seconds)
+   **Total running time of the script:** ( 0 minutes  23.441 seconds)
 
 
 .. _sphx_glr_download_tutorials_nvenc_tutorial.py:
diff --git a/main/_sources/tutorials/online_asr_tutorial.rst.txt b/main/_sources/tutorials/online_asr_tutorial.rst.txt
index 682447e1ee..d357f384b3 100644
--- a/main/_sources/tutorials/online_asr_tutorial.rst.txt
+++ b/main/_sources/tutorials/online_asr_tutorial.rst.txt
@@ -78,8 +78,8 @@ Performing online speech recognition is composed of the following steps
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -115,11 +115,11 @@ which is a Emformer RNN-T model trained on LibriSpeech dataset.
 
  .. code-block:: none
 
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     /pytorch/audio/src/torchaudio/pipelines/rnnt_pipeline.py:248: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
       state_dict = torch.load(path)
-
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@@ -816,7 +816,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  22.161 seconds)
+   **Total running time of the script:** ( 1 minutes  30.125 seconds)
 
 
 .. _sphx_glr_download_tutorials_online_asr_tutorial.py:
diff --git a/main/_sources/tutorials/oscillator_tutorial.rst.txt b/main/_sources/tutorials/oscillator_tutorial.rst.txt
index 0e4ed9f6e6..2b8eda22ad 100644
--- a/main/_sources/tutorials/oscillator_tutorial.rst.txt
+++ b/main/_sources/tutorials/oscillator_tutorial.rst.txt
@@ -53,8 +53,8 @@ This tutorial shows how to synthesize various waveforms using
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -636,7 +636,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  2.999 seconds)
+   **Total running time of the script:** ( 0 minutes  3.034 seconds)
 
 
 .. _sphx_glr_download_tutorials_oscillator_tutorial.py:
diff --git a/main/_sources/tutorials/sg_execution_times.rst.txt b/main/_sources/tutorials/sg_execution_times.rst.txt
index 13b5f8d0a0..3751339e6d 100644
--- a/main/_sources/tutorials/sg_execution_times.rst.txt
+++ b/main/_sources/tutorials/sg_execution_times.rst.txt
@@ -5,62 +5,62 @@
 
 Computation times
 =================
-**10:02.855** total execution time for **tutorials** files:
+**09:20.635** total execution time for **tutorials** files:
 
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_asr_inference_with_ctc_decoder_tutorial.py` (``asr_inference_with_ctc_decoder_tutorial.py``)                 | 03:05.115 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_asr_inference_with_ctc_decoder_tutorial.py` (``asr_inference_with_ctc_decoder_tutorial.py``)                 | 02:14.079 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_tacotron2_pipeline_tutorial.py` (``tacotron2_pipeline_tutorial.py``)                                         | 02:05.134 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_tacotron2_pipeline_tutorial.py` (``tacotron2_pipeline_tutorial.py``)                                         | 01:48.784 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_online_asr_tutorial.py` (``online_asr_tutorial.py``)                                                         | 01:22.161 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_online_asr_tutorial.py` (``online_asr_tutorial.py``)                                                         | 01:30.125 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_nvdec_tutorial.py` (``nvdec_tutorial.py``)                                                                   | 00:32.078 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_nvdec_tutorial.py` (``nvdec_tutorial.py``)                                                                   | 00:30.686 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_hybrid_demucs_tutorial.py` (``hybrid_demucs_tutorial.py``)                                                   | 00:24.567 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_hybrid_demucs_tutorial.py` (``hybrid_demucs_tutorial.py``)                                                   | 00:27.152 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_nvenc_tutorial.py` (``nvenc_tutorial.py``)                                                                   | 00:23.360 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_nvenc_tutorial.py` (``nvenc_tutorial.py``)                                                                   | 00:23.441 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streamreader_advanced_tutorial.py` (``streamreader_advanced_tutorial.py``)                                   | 00:18.613 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streamreader_advanced_tutorial.py` (``streamreader_advanced_tutorial.py``)                                   | 00:18.846 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streamreader_basic_tutorial.py` (``streamreader_basic_tutorial.py``)                                         | 00:14.270 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_data_augmentation_tutorial.py` (``audio_data_augmentation_tutorial.py``)                               | 00:15.432 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_data_augmentation_tutorial.py` (``audio_data_augmentation_tutorial.py``)                               | 00:14.156 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streamreader_basic_tutorial.py` (``streamreader_basic_tutorial.py``)                                         | 00:14.805 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_feature_extractions_tutorial.py` (``audio_feature_extractions_tutorial.py``)                           | 00:09.870 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_squim_tutorial.py` (``squim_tutorial.py``)                                                                   | 00:14.789 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_ctc_forced_alignment_api_tutorial.py` (``ctc_forced_alignment_api_tutorial.py``)                             | 00:09.681 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_ctc_forced_alignment_api_tutorial.py` (``ctc_forced_alignment_api_tutorial.py``)                             | 00:10.789 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_squim_tutorial.py` (``squim_tutorial.py``)                                                                   | 00:08.261 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_feature_extractions_tutorial.py` (``audio_feature_extractions_tutorial.py``)                           | 00:10.218 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_subtractive_synthesis_tutorial.py` (``subtractive_synthesis_tutorial.py``)                                   | 00:07.983 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_subtractive_synthesis_tutorial.py` (``subtractive_synthesis_tutorial.py``)                                   | 00:08.372 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_streamwriter_basic_tutorial.py` (``streamwriter_basic_tutorial.py``)                                         | 00:07.200 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_asr_inference_with_cuda_ctc_decoder_tutorial.py` (``asr_inference_with_cuda_ctc_decoder_tutorial.py``)       | 00:07.457 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_filter_design_tutorial.py` (``filter_design_tutorial.py``)                                                   | 00:05.182 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_streamwriter_basic_tutorial.py` (``streamwriter_basic_tutorial.py``)                                         | 00:07.344 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_speech_recognition_pipeline_tutorial.py` (``speech_recognition_pipeline_tutorial.py``)                       | 00:05.149 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_filter_design_tutorial.py` (``filter_design_tutorial.py``)                                                   | 00:05.238 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_additive_synthesis_tutorial.py` (``additive_synthesis_tutorial.py``)                                         | 00:04.907 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_additive_synthesis_tutorial.py` (``additive_synthesis_tutorial.py``)                                         | 00:04.997 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_forced_alignment_for_multilingual_data_tutorial.py` (``forced_alignment_for_multilingual_data_tutorial.py``) | 00:03.606 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_speech_recognition_pipeline_tutorial.py` (``speech_recognition_pipeline_tutorial.py``)                       | 00:04.929 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_resampling_tutorial.py` (``audio_resampling_tutorial.py``)                                             | 00:03.348 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_forced_alignment_for_multilingual_data_tutorial.py` (``forced_alignment_for_multilingual_data_tutorial.py``) | 00:03.886 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_effector_tutorial.py` (``effector_tutorial.py``)                                                             | 00:03.032 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_resampling_tutorial.py` (``audio_resampling_tutorial.py``)                                             | 00:03.359 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_oscillator_tutorial.py` (``oscillator_tutorial.py``)                                                         | 00:02.999 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_oscillator_tutorial.py` (``oscillator_tutorial.py``)                                                         | 00:03.034 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_asr_inference_with_cuda_ctc_decoder_tutorial.py` (``asr_inference_with_cuda_ctc_decoder_tutorial.py``)       | 00:02.783 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_effector_tutorial.py` (``effector_tutorial.py``)                                                             | 00:03.031 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_feature_augmentation_tutorial.py` (``audio_feature_augmentation_tutorial.py``)                         | 00:02.211 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_feature_augmentation_tutorial.py` (``audio_feature_augmentation_tutorial.py``)                         | 00:02.219 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_datasets_tutorial.py` (``audio_datasets_tutorial.py``)                                                 | 00:01.954 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_io_tutorial.py` (``audio_io_tutorial.py``)                                                             | 00:02.054 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_mvdr_tutorial.py` (``mvdr_tutorial.py``)                                                                     | 00:01.883 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_audio_datasets_tutorial.py` (``audio_datasets_tutorial.py``)                                                 | 00:01.922 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_forced_alignment_tutorial.py` (``forced_alignment_tutorial.py``)                                             | 00:01.729 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_mvdr_tutorial.py` (``mvdr_tutorial.py``)                                                                     | 00:01.913 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_tutorials_audio_io_tutorial.py` (``audio_io_tutorial.py``)                                                             | 00:01.624 | 0.0 MB |
+| :ref:`sphx_glr_tutorials_forced_alignment_tutorial.py` (``forced_alignment_tutorial.py``)                                             | 00:01.737 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
 | :ref:`sphx_glr_tutorials_device_asr.py` (``device_asr.py``)                                                                           | 00:00.000 | 0.0 MB |
 +---------------------------------------------------------------------------------------------------------------------------------------+-----------+--------+
diff --git a/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt b/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
index 6fb32345ae..bdb5f7ce37 100644
--- a/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
+++ b/main/_sources/tutorials/speech_recognition_pipeline_tutorial.rst.txt
@@ -76,8 +76,8 @@ Preparation
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
     cuda
 
 
@@ -103,7 +103,7 @@ Preparation
 
  .. code-block:: none
 
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@@ -188,7 +188,7 @@ fetch the pre-trained weights and load it into the model.
  .. code-block:: none
 
     Downloading: "https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ls960.pth" to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ls960.pth
-
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+
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     <class 'torchaudio.models.wav2vec2.model.Wav2Vec2Model'>
 
 
@@ -547,7 +547,7 @@ a model and getting the emission is as short as two lines.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  5.149 seconds)
+   **Total running time of the script:** ( 0 minutes  4.929 seconds)
 
 
 .. _sphx_glr_download_tutorials_speech_recognition_pipeline_tutorial.py:
diff --git a/main/_sources/tutorials/squim_tutorial.rst.txt b/main/_sources/tutorials/squim_tutorial.rst.txt
index 72817b2e1f..0c7e484e48 100644
--- a/main/_sources/tutorials/squim_tutorial.rst.txt
+++ b/main/_sources/tutorials/squim_tutorial.rst.txt
@@ -97,8 +97,8 @@ through MOS using non-matching references.” Interspeech, 2022.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -225,7 +225,7 @@ plot data, pystoi, pesq for computing reference metrics.
 
  .. code-block:: none
 
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+
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@@ -574,7 +574,7 @@ Get the pre-trained ``SquimObjective``\ model.
 
  .. code-block:: none
 
-
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+
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    100%|##########| 28.2M/28.2M [00:00<00:00, 52.0MB/s]
 
 
 
@@ -704,7 +704,7 @@ Get the pre-trained ``SquimSubjective`` model.
 
  .. code-block:: none
 
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+
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@@ -831,7 +831,7 @@ represents the corresponding ground truth.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  8.261 seconds)
+   **Total running time of the script:** ( 0 minutes  14.789 seconds)
 
 
 .. _sphx_glr_download_tutorials_squim_tutorial.py:
diff --git a/main/_sources/tutorials/streamreader_advanced_tutorial.rst.txt b/main/_sources/tutorials/streamreader_advanced_tutorial.rst.txt
index 96cb80a2f8..65148c8e4a 100644
--- a/main/_sources/tutorials/streamreader_advanced_tutorial.rst.txt
+++ b/main/_sources/tutorials/streamreader_advanced_tutorial.rst.txt
@@ -60,8 +60,8 @@ This shows how to use :py:class:`~torchaudio.io.StreamReader` for
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -833,7 +833,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  18.613 seconds)
+   **Total running time of the script:** ( 0 minutes  18.846 seconds)
 
 
 .. _sphx_glr_download_tutorials_streamreader_advanced_tutorial.py:
diff --git a/main/_sources/tutorials/streamreader_basic_tutorial.rst.txt b/main/_sources/tutorials/streamreader_basic_tutorial.rst.txt
index 9a568ecf1f..4d3ecac27a 100644
--- a/main/_sources/tutorials/streamreader_basic_tutorial.rst.txt
+++ b/main/_sources/tutorials/streamreader_basic_tutorial.rst.txt
@@ -101,8 +101,8 @@ Preparation
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -853,7 +853,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  14.270 seconds)
+   **Total running time of the script:** ( 0 minutes  14.805 seconds)
 
 
 .. _sphx_glr_download_tutorials_streamreader_basic_tutorial.py:
diff --git a/main/_sources/tutorials/streamwriter_basic_tutorial.rst.txt b/main/_sources/tutorials/streamwriter_basic_tutorial.rst.txt
index b3cd8f5602..984d79edbd 100644
--- a/main/_sources/tutorials/streamwriter_basic_tutorial.rst.txt
+++ b/main/_sources/tutorials/streamwriter_basic_tutorial.rst.txt
@@ -82,8 +82,8 @@ Preparation
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
     FFmpeg library versions
       libavcodec: (60, 3, 100)
       libavdevice: (60, 1, 100)
@@ -859,7 +859,7 @@ We process one second of audio and video frames at a time.
 
     /pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: MatplotlibDeprecationWarning: The tostring_rgb function was deprecated in Matplotlib 3.8 and will be removed two minor releases later. Use buffer_rgba instead.
       frame = torch.frombuffer(fig.canvas.tostring_rgb(), dtype=torch.uint8)
-    /pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1729064769612/work/torch/csrc/utils/tensor_new.cpp:1536.)
+    /pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1730619886239/work/torch/csrc/utils/tensor_new.cpp:1561.)
       frame = torch.frombuffer(fig.canvas.tostring_rgb(), dtype=torch.uint8)
 
 
@@ -890,7 +890,7 @@ The result looks like below.
 
     <div class="output_subarea output_html rendered_html output_result">
     <video controls  >
-     <source 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type="video/mp4">
      Your browser does not support the video tag.
      </video>
     </div>
@@ -911,7 +911,7 @@ Tag: :obj:`torchaudio.io`
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  7.200 seconds)
+   **Total running time of the script:** ( 0 minutes  7.344 seconds)
 
 
 .. _sphx_glr_download_tutorials_streamwriter_basic_tutorial.py:
diff --git a/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt b/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt
index 1363f7857f..4595197fc0 100644
--- a/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt
+++ b/main/_sources/tutorials/subtractive_synthesis_tutorial.rst.txt
@@ -56,8 +56,8 @@ Subtractive synthesis creates timbre by applying filters to source waveform.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
 
 
 
@@ -648,7 +648,7 @@ References
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  7.983 seconds)
+   **Total running time of the script:** ( 0 minutes  8.372 seconds)
 
 
 .. _sphx_glr_download_tutorials_subtractive_synthesis_tutorial.py:
diff --git a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
index 9e4b9cabda..4cbc34c505 100644
--- a/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
+++ b/main/_sources/tutorials/tacotron2_pipeline_tutorial.rst.txt
@@ -102,8 +102,8 @@ encoding.
 
  .. code-block:: none
 
-    2.6.0.dev20241016
-    2.5.0.dev20241017
+    2.6.0.dev20241103
+    2.5.0.dev20241104
     cuda
 
 
@@ -295,7 +295,7 @@ fetched.
 
  .. code-block:: none
 
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     /pytorch/audio/ci_env/lib/python3.10/site-packages/dp/model/model.py:306: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
       checkpoint = torch.load(checkpoint_path, map_location=device)
     /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:375: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
@@ -395,7 +395,7 @@ For the available bundles, and its usage, please refer to
     /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:375: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
       warnings.warn(
     Downloading: "https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth
-
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+
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@@ -498,7 +498,7 @@ WaveRNN model from the same bundle.
     /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:375: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
       warnings.warn(
     Downloading: "https://download.pytorch.org/torchaudio/models/wavernn_10k_epochs_8bits_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/wavernn_10k_epochs_8bits_ljspeech.pth
-
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+
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@@ -588,7 +588,7 @@ method and pass the spectrogram.
     /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:375: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
       warnings.warn(
     Downloading: "https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_ljspeech.pth" to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_ljspeech.pth
-
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     13%|#3        | 14.0M/107M [00:00<00:01, 79.2MB/s]
     21%|##        | 22.2M/107M [00:00<00:01, 59.0MB/s]
     30%|##9       | 31.8M/107M [00:00<00:01, 66.7MB/s]
     36%|###6      | 38.8M/107M [00:00<00:01, 43.5MB/s]
     44%|####3     | 46.9M/107M [00:01<00:01, 34.0MB/s]
     48%|####7     | 51.2M/107M [00:01<00:01, 32.6MB/s]
     51%|#####1    | 55.0M/107M [00:01<00:01, 31.8MB/s]
     57%|#####6    | 60.8M/107M [00:01<00:01, 34.0MB/s]
     60%|#####9    | 64.4M/107M [00:01<00:01, 30.1MB/s]
     74%|#######4  | 79.8M/107M [00:01<00:00, 49.4MB/s]
     79%|#######8  | 84.8M/107M [00:02<00:00, 41.0MB/s]
     89%|########9 | 96.0M/107M [00:02<00:00, 43.5MB/s]
     93%|#########3| 100M/107M [00:02<00:00, 39.1MB/s] 
    100%|##########| 107M/107M [00:02<00:00, 42.3MB/s]
+
      0%|          | 0.00/107M [00:00<?, ?B/s]
     20%|#9        | 21.0M/107M [00:00<00:00, 220MB/s]
     39%|###9      | 42.0M/107M [00:00<00:00, 214MB/s]
     85%|########4 | 90.9M/107M [00:00<00:00, 347MB/s]
    100%|##########| 107M/107M [00:00<00:00, 327MB/s] 
 
 
 
@@ -705,7 +705,7 @@ module.
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" type="audio/wav" />
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                     </audio>
               
@@ -716,7 +716,7 @@ module.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  5.134 seconds)
+   **Total running time of the script:** ( 1 minutes  48.784 seconds)
 
 
 .. _sphx_glr_download_tutorials_tacotron2_pipeline_tutorial.py:
diff --git a/main/_static/documentation_options.js b/main/_static/documentation_options.js
index e2daf0eea3..2d592c36f0 100644
--- a/main/_static/documentation_options.js
+++ b/main/_static/documentation_options.js
@@ -1,6 +1,6 @@
 var DOCUMENTATION_OPTIONS = {
     URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
-    VERSION: '2.5.0.dev20241017',
+    VERSION: '2.5.0.dev20241104',
     LANGUAGE: 'en',
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     BUILDER: 'html',
diff --git a/main/build.ffmpeg.html b/main/build.ffmpeg.html
index cc9f6809f5..f7a2399a66 100644
--- a/main/build.ffmpeg.html
+++ b/main/build.ffmpeg.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Enabling GPU video decoder/encoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Enabling GPU video decoder/encoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/build.html b/main/build.html
index 46d7827188..f31801b420 100644
--- a/main/build.html
+++ b/main/build.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Building from source &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Building from source &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/build.jetson.html b/main/build.jetson.html
index 90161e85ba..9b50df0dd6 100644
--- a/main/build.jetson.html
+++ b/main/build.jetson.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Building on Jetson &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Building on Jetson &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/build.linux.html b/main/build.linux.html
index 835754a95c..a0af019563 100644
--- a/main/build.linux.html
+++ b/main/build.linux.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Building on Linux and macOS &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Building on Linux and macOS &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/build.windows.html b/main/build.windows.html
index 2764a66427..ccf68f834e 100644
--- a/main/build.windows.html
+++ b/main/build.windows.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Building on Windows &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Building on Windows &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/compliance.kaldi.html b/main/compliance.kaldi.html
index 4ca5847202..1892e46a02 100644
--- a/main/compliance.kaldi.html
+++ b/main/compliance.kaldi.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.compliance.kaldi &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.compliance.kaldi &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/datasets.html b/main/datasets.html
index cb4b7e7edf..22bc3a735b 100644
--- a/main/datasets.html
+++ b/main/datasets.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.datasets &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.datasets &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -436,10 +436,10 @@
               
   <span class="target" id="module-torchaudio.datasets"></span><section id="torchaudio-datasets">
 <h1>torchaudio.datasets<a class="headerlink" href="#torchaudio-datasets" title="Permalink to this heading">¶</a></h1>
-<p>All datasets are subclasses of <a class="reference external" href="https://pytorch.org/docs/stable/data.html#torch.utils.data.Dataset" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.utils.data.Dataset</span></code></a>
+<p>All datasets are subclasses of <a class="reference external" href="https://pytorch.org/docs/stable/data.html#torch.utils.data.Dataset" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.utils.data.Dataset</span></code></a>
 and have <code class="docutils literal notranslate"><span class="pre">__getitem__</span></code> and <code class="docutils literal notranslate"><span class="pre">__len__</span></code> methods implemented.</p>
-<p>Hence, they can all be passed to a <a class="reference external" href="https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.utils.data.DataLoader</span></code></a>
-which can load multiple samples parallelly using <a class="reference external" href="https://pytorch.org/docs/stable/multiprocessing.html#module-torch.multiprocessing" title="(in PyTorch v2.4)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">torch.multiprocessing</span></code></a> workers.
+<p>Hence, they can all be passed to a <a class="reference external" href="https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.utils.data.DataLoader</span></code></a>
+which can load multiple samples parallelly using <a class="reference external" href="https://pytorch.org/docs/stable/multiprocessing.html#module-torch.multiprocessing" title="(in PyTorch v2.5)"><code class="xref py py-mod docutils literal notranslate"><span class="pre">torch.multiprocessing</span></code></a> workers.
 For example:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">yesno_data</span> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">YESNO</span><span class="p">(</span><span class="s1">&#39;.&#39;</span><span class="p">,</span> <span class="n">download</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 <span class="n">data_loader</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">DataLoader</span><span class="p">(</span>
diff --git a/main/feature_classifications.html b/main/feature_classifications.html
index a6f6a53ce5..c39d54fb35 100644
--- a/main/feature_classifications.html
+++ b/main/feature_classifications.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Feature Classifications &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Feature Classifications &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/functional.html b/main/functional.html
index 6393f318e7..d9c5dc398a 100644
--- a/main/functional.html
+++ b/main/functional.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.compliance.kaldi.fbank.html b/main/generated/torchaudio.compliance.kaldi.fbank.html
index ca74867ad7..c656f5d583 100644
--- a/main/generated/torchaudio.compliance.kaldi.fbank.html
+++ b/main/generated/torchaudio.compliance.kaldi.fbank.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.compliance.kaldi.fbank &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.compliance.kaldi.fbank &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -440,7 +440,7 @@
 <h1>torchaudio.compliance.kaldi.fbank<a class="headerlink" href="#torchaudio-compliance-kaldi-fbank" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.compliance.kaldi.fbank">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">fbank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">htk_compat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mel_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">23</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_log_fbank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-500.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_warp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#fbank"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.fbank" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">fbank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">htk_compat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mel_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">23</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_log_fbank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-500.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_warp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#fbank"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.fbank" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a fbank from a raw audio signal. This matches the input/output of Kaldi’s
 compute-fbank-feats.</p>
 <dl class="field-list simple">
diff --git a/main/generated/torchaudio.compliance.kaldi.mfcc.html b/main/generated/torchaudio.compliance.kaldi.mfcc.html
index 809200f108..2dc3b5ec42 100644
--- a/main/generated/torchaudio.compliance.kaldi.mfcc.html
+++ b/main/generated/torchaudio.compliance.kaldi.mfcc.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.compliance.kaldi.mfcc &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.compliance.kaldi.mfcc &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.compliance.kaldi.mfcc<a class="headerlink" href="#torchaudio-compliance-kaldi-mfcc" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.compliance.kaldi.mfcc">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">mfcc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cepstral_lifter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">22.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">htk_compat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_ceps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">13</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mel_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">23</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-500.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_warp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#mfcc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.mfcc" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">mfcc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cepstral_lifter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">22.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">htk_compat</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">low_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_ceps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">13</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mel_bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">23</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-500.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">vtln_warp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#mfcc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.mfcc" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a mfcc from a raw audio signal. This matches the input/output of Kaldi’s
 compute-mfcc-feats.</p>
 <dl class="field-list simple">
diff --git a/main/generated/torchaudio.compliance.kaldi.spectrogram.html b/main/generated/torchaudio.compliance.kaldi.spectrogram.html
index f232e660ce..edc612df74 100644
--- a/main/generated/torchaudio.compliance.kaldi.spectrogram.html
+++ b/main/generated/torchaudio.compliance.kaldi.spectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.compliance.kaldi.spectrogram &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.compliance.kaldi.spectrogram &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.compliance.kaldi.spectrogram<a class="headerlink" href="#torchaudio-compliance-kaldi-spectrogram" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.compliance.kaldi.spectrogram">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.spectrogram" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.compliance.kaldi.</span></span><span class="sig-name descname"><span class="pre">spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blackman_coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.42</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dither</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_floor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preemphasis_coefficient</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">raw_energy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_dc_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">round_to_power_of_two</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snip_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">subtract_mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_type</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'povey'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/compliance/kaldi.html#spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.compliance.kaldi.spectrogram" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a spectrogram from a raw audio signal. This matches the input/output of Kaldi’s
 compute-spectrogram-feats.</p>
 <dl class="field-list simple">
diff --git a/main/generated/torchaudio.datasets.CMUARCTIC.html b/main/generated/torchaudio.datasets.CMUARCTIC.html
index 92d9a333bb..0e4260e91e 100644
--- a/main/generated/torchaudio.datasets.CMUARCTIC.html
+++ b/main/generated/torchaudio.datasets.CMUARCTIC.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CMUARCTIC &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>CMUARCTIC &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -463,7 +463,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.CMUARCTIC.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">CMUARCTIC.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/cmuarctic.html#CMUARCTIC.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.CMUARCTIC.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CMUARCTIC.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/cmuarctic.html#CMUARCTIC.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.CMUARCTIC.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.CMUDict.html b/main/generated/torchaudio.datasets.CMUDict.html
index 2ea9ea6077..b078ace596 100644
--- a/main/generated/torchaudio.datasets.CMUDict.html
+++ b/main/generated/torchaudio.datasets.CMUDict.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CMUDict &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>CMUDict &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.datasets.COMMONVOICE.html b/main/generated/torchaudio.datasets.COMMONVOICE.html
index e71fde454f..49bfd1f47e 100644
--- a/main/generated/torchaudio.datasets.COMMONVOICE.html
+++ b/main/generated/torchaudio.datasets.COMMONVOICE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>COMMONVOICE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>COMMONVOICE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
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+<span class="sig-prename descclassname"><span class="pre">COMMONVOICE.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/commonvoice.html#COMMONVOICE.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.COMMONVOICE.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.DR_VCTK.html b/main/generated/torchaudio.datasets.DR_VCTK.html
index 4f2b36156c..2cae43532b 100644
--- a/main/generated/torchaudio.datasets.DR_VCTK.html
+++ b/main/generated/torchaudio.datasets.DR_VCTK.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>DR_VCTK &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>DR_VCTK &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.DR_VCTK.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">DR_VCTK.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/dr_vctk.html#DR_VCTK.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.DR_VCTK.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DR_VCTK.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/dr_vctk.html#DR_VCTK.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.DR_VCTK.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.FluentSpeechCommands.html b/main/generated/torchaudio.datasets.FluentSpeechCommands.html
index 1e5a0cbe96..241a91cdd4 100644
--- a/main/generated/torchaudio.datasets.FluentSpeechCommands.html
+++ b/main/generated/torchaudio.datasets.FluentSpeechCommands.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>FluentSpeechCommands &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>FluentSpeechCommands &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -459,7 +459,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.FluentSpeechCommands.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">FluentSpeechCommands.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/fluentcommands.html#FluentSpeechCommands.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.FluentSpeechCommands.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">FluentSpeechCommands.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/fluentcommands.html#FluentSpeechCommands.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.FluentSpeechCommands.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.GTZAN.html b/main/generated/torchaudio.datasets.GTZAN.html
index 439c06f6c0..fc630069d7 100644
--- a/main/generated/torchaudio.datasets.GTZAN.html
+++ b/main/generated/torchaudio.datasets.GTZAN.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>GTZAN &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>GTZAN &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -473,7 +473,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.GTZAN.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">GTZAN.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/gtzan.html#GTZAN.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.GTZAN.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">GTZAN.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/gtzan.html#GTZAN.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.GTZAN.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.IEMOCAP.html b/main/generated/torchaudio.datasets.IEMOCAP.html
index 01b094e4d4..22a0c275be 100644
--- a/main/generated/torchaudio.datasets.IEMOCAP.html
+++ b/main/generated/torchaudio.datasets.IEMOCAP.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>IEMOCAP &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>IEMOCAP &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.IEMOCAP.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">IEMOCAP.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/iemocap.html#IEMOCAP.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.IEMOCAP.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">IEMOCAP.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/iemocap.html#IEMOCAP.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.IEMOCAP.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LIBRISPEECH.html b/main/generated/torchaudio.datasets.LIBRISPEECH.html
index 852bc16f12..4003b4d8fe 100644
--- a/main/generated/torchaudio.datasets.LIBRISPEECH.html
+++ b/main/generated/torchaudio.datasets.LIBRISPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LIBRISPEECH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>LIBRISPEECH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -463,7 +463,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LIBRISPEECH.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LIBRISPEECH.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librispeech.html#LIBRISPEECH.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LIBRISPEECH.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LIBRISPEECH.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librispeech.html#LIBRISPEECH.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LIBRISPEECH.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LIBRITTS.html b/main/generated/torchaudio.datasets.LIBRITTS.html
index 3482f27806..cb68a0531c 100644
--- a/main/generated/torchaudio.datasets.LIBRITTS.html
+++ b/main/generated/torchaudio.datasets.LIBRITTS.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LIBRITTS &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>LIBRITTS &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -463,7 +463,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LIBRITTS.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LIBRITTS.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/libritts.html#LIBRITTS.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LIBRITTS.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LIBRITTS.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/libritts.html#LIBRITTS.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LIBRITTS.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LJSPEECH.html b/main/generated/torchaudio.datasets.LJSPEECH.html
index ed22b46d45..e356bcc10a 100644
--- a/main/generated/torchaudio.datasets.LJSPEECH.html
+++ b/main/generated/torchaudio.datasets.LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LJSPEECH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>LJSPEECH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LJSPEECH.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LJSPEECH.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/ljspeech.html#LJSPEECH.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LJSPEECH.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LJSPEECH.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/ljspeech.html#LJSPEECH.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LJSPEECH.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LibriLightLimited.html b/main/generated/torchaudio.datasets.LibriLightLimited.html
index 1da03e3503..9eb52cd604 100644
--- a/main/generated/torchaudio.datasets.LibriLightLimited.html
+++ b/main/generated/torchaudio.datasets.LibriLightLimited.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LibriLightLimited &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>LibriLightLimited &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -460,7 +460,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LibriLightLimited.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LibriLightLimited.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librilight_limited.html#LibriLightLimited.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LibriLightLimited.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LibriLightLimited.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librilight_limited.html#LibriLightLimited.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LibriLightLimited.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.LibriMix.html b/main/generated/torchaudio.datasets.LibriMix.html
index af152f1e32..018b8d419e 100644
--- a/main/generated/torchaudio.datasets.LibriMix.html
+++ b/main/generated/torchaudio.datasets.LibriMix.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LibriMix &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>LibriMix &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -477,7 +477,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.LibriMix.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">LibriMix.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librimix.html#LibriMix.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LibriMix.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">LibriMix.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/librimix.html#LibriMix.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.LibriMix.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.MUSDB_HQ.html b/main/generated/torchaudio.datasets.MUSDB_HQ.html
index c5a61f8010..d7a7d6e2a9 100644
--- a/main/generated/torchaudio.datasets.MUSDB_HQ.html
+++ b/main/generated/torchaudio.datasets.MUSDB_HQ.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MUSDB_HQ &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>MUSDB_HQ &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -466,7 +466,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.MUSDB_HQ.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">MUSDB_HQ.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/musdb_hq.html#MUSDB_HQ.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.MUSDB_HQ.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">MUSDB_HQ.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/musdb_hq.html#MUSDB_HQ.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.MUSDB_HQ.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.QUESST14.html b/main/generated/torchaudio.datasets.QUESST14.html
index b4b9c81dcb..ce21c3dc23 100644
--- a/main/generated/torchaudio.datasets.QUESST14.html
+++ b/main/generated/torchaudio.datasets.QUESST14.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>QUESST14 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>QUESST14 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -462,7 +462,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.QUESST14.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">QUESST14.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/quesst14.html#QUESST14.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.QUESST14.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">QUESST14.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/quesst14.html#QUESST14.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.QUESST14.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html b/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
index 04deff238c..9e494e197e 100644
--- a/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
+++ b/main/generated/torchaudio.datasets.SPEECHCOMMANDS.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SPEECHCOMMANDS &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SPEECHCOMMANDS &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -468,7 +468,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.SPEECHCOMMANDS.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">SPEECHCOMMANDS.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/speechcommands.html#SPEECHCOMMANDS.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.SPEECHCOMMANDS.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SPEECHCOMMANDS.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/speechcommands.html#SPEECHCOMMANDS.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.SPEECHCOMMANDS.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.Snips.html b/main/generated/torchaudio.datasets.Snips.html
index 0eeb3ec878..312fb8c491 100644
--- a/main/generated/torchaudio.datasets.Snips.html
+++ b/main/generated/torchaudio.datasets.Snips.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Snips &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Snips &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -461,7 +461,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.Snips.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">Snips.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/snips.html#Snips.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.Snips.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Snips.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/snips.html#Snips.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.Snips.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.TEDLIUM.html b/main/generated/torchaudio.datasets.TEDLIUM.html
index b7ceec4200..eb591c99c8 100644
--- a/main/generated/torchaudio.datasets.TEDLIUM.html
+++ b/main/generated/torchaudio.datasets.TEDLIUM.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TEDLIUM &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>TEDLIUM &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -486,7 +486,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.TEDLIUM.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">TEDLIUM.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/tedlium.html#TEDLIUM.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.TEDLIUM.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">TEDLIUM.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/tedlium.html#TEDLIUM.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.TEDLIUM.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.VCTK_092.html b/main/generated/torchaudio.datasets.VCTK_092.html
index 23d1f4d144..fa952ed22c 100644
--- a/main/generated/torchaudio.datasets.VCTK_092.html
+++ b/main/generated/torchaudio.datasets.VCTK_092.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VCTK_092 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VCTK_092 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -470,7 +470,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.VCTK_092.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">VCTK_092.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/vctk.html#VCTK_092.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VCTK_092.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VCTK_092.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/vctk.html#VCTK_092.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VCTK_092.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.VoxCeleb1Identification.html b/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
index cd8cd1eb3a..81da240099 100644
--- a/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
+++ b/main/generated/torchaudio.datasets.VoxCeleb1Identification.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VoxCeleb1Identification &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VoxCeleb1Identification &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -474,7 +474,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.VoxCeleb1Identification.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">VoxCeleb1Identification.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/voxceleb1.html#VoxCeleb1Identification.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VoxCeleb1Identification.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VoxCeleb1Identification.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/voxceleb1.html#VoxCeleb1Identification.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VoxCeleb1Identification.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.VoxCeleb1Verification.html b/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
index 93b408add4..60cd5ffd2d 100644
--- a/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
+++ b/main/generated/torchaudio.datasets.VoxCeleb1Verification.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VoxCeleb1Verification &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VoxCeleb1Verification &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -475,7 +475,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.VoxCeleb1Verification.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">VoxCeleb1Verification.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/voxceleb1.html#VoxCeleb1Verification.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VoxCeleb1Verification.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VoxCeleb1Verification.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/voxceleb1.html#VoxCeleb1Verification.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.VoxCeleb1Verification.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.datasets.YESNO.html b/main/generated/torchaudio.datasets.YESNO.html
index 71d05f2fe5..3670d619db 100644
--- a/main/generated/torchaudio.datasets.YESNO.html
+++ b/main/generated/torchaudio.datasets.YESNO.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>YESNO &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>YESNO &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -466,7 +466,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.datasets.YESNO.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">YESNO.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/yesno.html#YESNO.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.YESNO.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">YESNO.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/datasets/yesno.html#YESNO.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.datasets.YESNO.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load the n-th sample from the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.DB_to_amplitude.html b/main/generated/torchaudio.functional.DB_to_amplitude.html
index 985159c685..1ce09fda42 100644
--- a/main/generated/torchaudio.functional.DB_to_amplitude.html
+++ b/main/generated/torchaudio.functional.DB_to_amplitude.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.DB_to_amplitude &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.DB_to_amplitude &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.DB_to_amplitude<a class="headerlink" href="#torchaudio-functional-db-to-amplitude" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.DB_to_amplitude">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">DB_to_amplitude</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#DB_to_amplitude"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.DB_to_amplitude" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">DB_to_amplitude</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#DB_to_amplitude"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.DB_to_amplitude" title="Permalink to this definition">¶</a></dt>
 <dd><p>Turn a tensor from the decibel scale to the power/amplitude scale.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.TokenSpan.html b/main/generated/torchaudio.functional.TokenSpan.html
index 57034a0576..06f321069c 100644
--- a/main/generated/torchaudio.functional.TokenSpan.html
+++ b/main/generated/torchaudio.functional.TokenSpan.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TokenSpan &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>TokenSpan &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.functional.add_noise.html b/main/generated/torchaudio.functional.add_noise.html
index 2a335ad468..ec4c652be2 100644
--- a/main/generated/torchaudio.functional.add_noise.html
+++ b/main/generated/torchaudio.functional.add_noise.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.add_noise &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.add_noise &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.add_noise<a class="headerlink" href="#torchaudio-functional-add-noise" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.add_noise">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">add_noise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#add_noise"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.add_noise" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">add_noise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#add_noise"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.add_noise" title="Permalink to this definition">¶</a></dt>
 <dd><p>Scales and adds noise to waveform per signal-to-noise ratio.</p>
 <p>Specifically, for each pair of waveform vector <span class="math">\(x \in \mathbb{R}^L\)</span> and noise vector
 <span class="math">\(n \in \mathbb{R}^L\)</span>, the function computes output <span class="math">\(y\)</span> as</p>
@@ -461,10 +461,10 @@ <h1>torchaudio.functional.add_noise<a class="headerlink" href="#torchaudio-funct
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Input waveform, with shape <cite>(…, L)</cite>.</p></li>
-<li><p><strong>noise</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Noise, with shape <cite>(…, L)</cite> (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p></li>
-<li><p><strong>snr</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Signal-to-noise ratios in dB, with shape <cite>(…,)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> and <code class="docutils literal notranslate"><span class="pre">noise</span></code>, with shape
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Input waveform, with shape <cite>(…, L)</cite>.</p></li>
+<li><p><strong>noise</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Noise, with shape <cite>(…, L)</cite> (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p></li>
+<li><p><strong>snr</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Signal-to-noise ratios in dB, with shape <cite>(…,)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> and <code class="docutils literal notranslate"><span class="pre">noise</span></code>, with shape
 <cite>(…,)</cite> (leading dimensions must match those of <code class="docutils literal notranslate"><span class="pre">waveform</span></code>). If <code class="docutils literal notranslate"><span class="pre">None</span></code>, all elements in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>
 and <code class="docutils literal notranslate"><span class="pre">noise</span></code> are treated as valid. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
@@ -474,7 +474,7 @@ <h1>torchaudio.functional.add_noise<a class="headerlink" href="#torchaudio-funct
 (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 <dl>
diff --git a/main/generated/torchaudio.functional.allpass_biquad.html b/main/generated/torchaudio.functional.allpass_biquad.html
index db765bf2bc..10d4168996 100644
--- a/main/generated/torchaudio.functional.allpass_biquad.html
+++ b/main/generated/torchaudio.functional.allpass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.allpass_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.allpass_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,17 +440,17 @@
 <h1>torchaudio.functional.allpass_biquad<a class="headerlink" href="#torchaudio-functional-allpass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.allpass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">allpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#allpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.allpass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">allpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#allpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.allpass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design two-pole all-pass filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.amplitude_to_DB.html b/main/generated/torchaudio.functional.amplitude_to_DB.html
index a2a1be9ee0..3e62db4ebf 100644
--- a/main/generated/torchaudio.functional.amplitude_to_DB.html
+++ b/main/generated/torchaudio.functional.amplitude_to_DB.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.amplitude_to_DB &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.amplitude_to_DB &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.amplitude_to_DB<a class="headerlink" href="#torchaudio-functional-amplitude-to-db" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.amplitude_to_DB">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">amplitude_to_DB</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">multiplier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">amin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">db_multiplier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#amplitude_to_DB"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.amplitude_to_DB" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">amplitude_to_DB</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">multiplier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">amin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">db_multiplier</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">top_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#amplitude_to_DB"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.amplitude_to_DB" title="Permalink to this definition">¶</a></dt>
 <dd><p>Turn a spectrogram from the power/amplitude scale to the decibel scale.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.apply_beamforming.html b/main/generated/torchaudio.functional.apply_beamforming.html
index bea8ec7cff..fddfbb8bd7 100644
--- a/main/generated/torchaudio.functional.apply_beamforming.html
+++ b/main/generated/torchaudio.functional.apply_beamforming.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.apply_beamforming &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.apply_beamforming &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.apply_beamforming<a class="headerlink" href="#torchaudio-functional-apply-beamforming" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.apply_beamforming">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">apply_beamforming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beamform_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#apply_beamforming"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.apply_beamforming" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">apply_beamforming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">beamform_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#apply_beamforming"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.apply_beamforming" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply the beamforming weight to the multi-channel noisy spectrum to obtain the single-channel enhanced spectrum.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.apply_codec.html b/main/generated/torchaudio.functional.apply_codec.html
index fbc799f65d..f5d52777e7 100644
--- a/main/generated/torchaudio.functional.apply_codec.html
+++ b/main/generated/torchaudio.functional.apply_codec.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.apply_codec &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.apply_codec &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.apply_codec<a class="headerlink" href="#torchaudio-functional-apply-codec" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.apply_codec">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">apply_codec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#apply_codec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.apply_codec" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">apply_codec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#apply_codec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.apply_codec" title="Permalink to this definition">¶</a></dt>
 <dd><p>DEPRECATED:
 Apply codecs as a form of augmentation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
diff --git a/main/generated/torchaudio.functional.band_biquad.html b/main/generated/torchaudio.functional.band_biquad.html
index 1153b59282..71c3a30121 100644
--- a/main/generated/torchaudio.functional.band_biquad.html
+++ b/main/generated/torchaudio.functional.band_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.band_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.band_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.band_biquad<a class="headerlink" href="#torchaudio-functional-band-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.band_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">band_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#band_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.band_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">band_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#band_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.band_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design two-pole band filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.band_biquad<a class="headerlink" href="#torchaudio-fun
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
 <li><p><strong>noise</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><em>bool</em></a><em>, </em><em>optional</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, uses the alternate mode for un-pitched audio (e.g. percussion).
 If <code class="docutils literal notranslate"><span class="pre">False</span></code>, uses mode oriented to pitched audio, i.e. voice, singing,
 or instrumental music (Default: <code class="docutils literal notranslate"><span class="pre">False</span></code>).</p></li>
diff --git a/main/generated/torchaudio.functional.bandpass_biquad.html b/main/generated/torchaudio.functional.bandpass_biquad.html
index 4997da83eb..48447e9059 100644
--- a/main/generated/torchaudio.functional.bandpass_biquad.html
+++ b/main/generated/torchaudio.functional.bandpass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.bandpass_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.bandpass_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.bandpass_biquad<a class="headerlink" href="#torchaudio-functional-bandpass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.bandpass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bandpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">const_skirt_gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bandpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bandpass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bandpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">const_skirt_gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bandpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bandpass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design two-pole band-pass filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.bandpass_biquad<a class="headerlink" href="#torchaudio
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 <li><p><strong>const_skirt_gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><em>bool</em></a><em>, </em><em>optional</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, uses a constant skirt gain (peak gain = Q).
 If <code class="docutils literal notranslate"><span class="pre">False</span></code>, uses a constant 0dB peak gain. (Default: <code class="docutils literal notranslate"><span class="pre">False</span></code>)</p></li>
 </ul>
diff --git a/main/generated/torchaudio.functional.bandreject_biquad.html b/main/generated/torchaudio.functional.bandreject_biquad.html
index debdceacfd..eb066e3a03 100644
--- a/main/generated/torchaudio.functional.bandreject_biquad.html
+++ b/main/generated/torchaudio.functional.bandreject_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.bandreject_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.bandreject_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.bandreject_biquad<a class="headerlink" href="#torchaudio-functional-bandreject-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.bandreject_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bandreject_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bandreject_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bandreject_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bandreject_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bandreject_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bandreject_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design two-pole band-reject filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.bandreject_biquad<a class="headerlink" href="#torchaud
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – central frequency (in Hz)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.bass_biquad.html b/main/generated/torchaudio.functional.bass_biquad.html
index 3c1e0b08cc..731fc87675 100644
--- a/main/generated/torchaudio.functional.bass_biquad.html
+++ b/main/generated/torchaudio.functional.bass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.bass_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.bass_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.bass_biquad<a class="headerlink" href="#torchaudio-functional-bass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.bass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">bass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#bass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.bass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design a bass tone-control effect.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,9 +449,9 @@ <h1>torchaudio.functional.bass_biquad<a class="headerlink" href="#torchaudio-fun
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB.</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – central frequency (in Hz). (Default: <code class="docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
+<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB.</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – central frequency (in Hz). (Default: <code class="docutils literal notranslate"><span class="pre">100</span></code>)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.biquad.html b/main/generated/torchaudio.functional.biquad.html
index 371c45f45e..1bb884ad64 100644
--- a/main/generated/torchaudio.functional.biquad.html
+++ b/main/generated/torchaudio.functional.biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.biquad<a class="headerlink" href="#torchaudio-functional-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Perform a biquad filter of input tensor.  Initial conditions set to 0.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -448,12 +448,12 @@ <h1>torchaudio.functional.biquad<a class="headerlink" href="#torchaudio-function
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
-<li><p><strong>b0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – numerator coefficient of current input, x[n]</p></li>
-<li><p><strong>b1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – numerator coefficient of input one time step ago x[n-1]</p></li>
-<li><p><strong>b2</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – numerator coefficient of input two time steps ago x[n-2]</p></li>
-<li><p><strong>a0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n], typically 1</p></li>
-<li><p><strong>a1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n-1]</p></li>
-<li><p><strong>a2</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n-2]</p></li>
+<li><p><strong>b0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – numerator coefficient of current input, x[n]</p></li>
+<li><p><strong>b1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – numerator coefficient of input one time step ago x[n-1]</p></li>
+<li><p><strong>b2</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – numerator coefficient of input two time steps ago x[n-2]</p></li>
+<li><p><strong>a0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n], typically 1</p></li>
+<li><p><strong>a1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n-1]</p></li>
+<li><p><strong>a2</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – denominator coefficient of current output y[n-2]</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.compute_deltas.html b/main/generated/torchaudio.functional.compute_deltas.html
index 8ddeb68be8..0fed973504 100644
--- a/main/generated/torchaudio.functional.compute_deltas.html
+++ b/main/generated/torchaudio.functional.compute_deltas.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.compute_deltas &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.compute_deltas &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.compute_deltas<a class="headerlink" href="#torchaudio-functional-compute-deltas" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.compute_deltas">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">compute_deltas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'replicate'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#compute_deltas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.compute_deltas" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">compute_deltas</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'replicate'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#compute_deltas"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.compute_deltas" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute delta coefficients of a tensor, usually a spectrogram:</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.contrast.html b/main/generated/torchaudio.functional.contrast.html
index 76d43bbfba..34b62f4f50 100644
--- a/main/generated/torchaudio.functional.contrast.html
+++ b/main/generated/torchaudio.functional.contrast.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.contrast &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.contrast &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.contrast<a class="headerlink" href="#torchaudio-functional-contrast" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.contrast">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">contrast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">enhancement_amount</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">75.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#contrast"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.contrast" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">contrast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">enhancement_amount</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">75.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#contrast"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.contrast" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply contrast effect.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.convolve.html b/main/generated/torchaudio.functional.convolve.html
index 08dd919fcf..c886a0cd6d 100644
--- a/main/generated/torchaudio.functional.convolve.html
+++ b/main/generated/torchaudio.functional.convolve.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.convolve &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.convolve &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.convolve<a class="headerlink" href="#torchaudio-functional-convolve" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.convolve">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">convolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#convolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.convolve" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">convolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#convolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.convolve" title="Permalink to this definition">¶</a></dt>
 <dd><p>Convolves inputs along their last dimension using the direct method.
 Note that, in contrast to <code class="xref py py-meth docutils literal notranslate"><span class="pre">torch.nn.functional.conv1d()</span></code>, which actually applies the valid cross-correlation
 operator, this function applies the true <a class="reference external" href="https://en.wikipedia.org/wiki/Convolution">convolution</a> operator.</p>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.convolve<a class="headerlink" href="#torchaudio-functi
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
+<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
 (leading dimensions must be broadcast-able with those of <code class="docutils literal notranslate"><span class="pre">x</span></code>).</p></li>
 <li><p><strong>mode</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><em>str</em></a><em>, </em><em>optional</em>) – <p>Must be one of (“full”, “valid”, “same”).</p>
 <ul>
@@ -467,7 +467,7 @@ <h1>torchaudio.functional.convolve<a class="headerlink" href="#torchaudio-functi
 the leading dimensions match those of <code class="docutils literal notranslate"><span class="pre">x</span></code> and <cite>L</cite> is dictated by <code class="docutils literal notranslate"><span class="pre">mode</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.create_dct.html b/main/generated/torchaudio.functional.create_dct.html
index 2bb1b14c54..b9f07a046e 100644
--- a/main/generated/torchaudio.functional.create_dct.html
+++ b/main/generated/torchaudio.functional.create_dct.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.create_dct &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.create_dct &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.create_dct<a class="headerlink" href="#torchaudio-functional-create-dct" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.create_dct">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">create_dct</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_mfcc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_mels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#create_dct"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.create_dct" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">create_dct</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_mfcc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_mels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#create_dct"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.create_dct" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a DCT transformation matrix with shape (<code class="docutils literal notranslate"><span class="pre">n_mels</span></code>, <code class="docutils literal notranslate"><span class="pre">n_mfcc</span></code>),
 normalized depending on norm.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
diff --git a/main/generated/torchaudio.functional.dcshift.html b/main/generated/torchaudio.functional.dcshift.html
index 7d439c600a..3022bd8ef5 100644
--- a/main/generated/torchaudio.functional.dcshift.html
+++ b/main/generated/torchaudio.functional.dcshift.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.dcshift &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.dcshift &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.dcshift<a class="headerlink" href="#torchaudio-functional-dcshift" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.dcshift">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">dcshift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">limiter_gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#dcshift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.dcshift" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">dcshift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">limiter_gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#dcshift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.dcshift" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a DC shift to the audio. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.deemph_biquad.html b/main/generated/torchaudio.functional.deemph_biquad.html
index 91b742234b..03d02ce6a6 100644
--- a/main/generated/torchaudio.functional.deemph_biquad.html
+++ b/main/generated/torchaudio.functional.deemph_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.deemph_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.deemph_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.deemph_biquad<a class="headerlink" href="#torchaudio-functional-deemph-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.deemph_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">deemph_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#deemph_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.deemph_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">deemph_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#deemph_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.deemph_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply ISO 908 CD de-emphasis (shelving) IIR filter.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.deemphasis.html b/main/generated/torchaudio.functional.deemphasis.html
index 92bc9b5c76..0ee4ef1116 100644
--- a/main/generated/torchaudio.functional.deemphasis.html
+++ b/main/generated/torchaudio.functional.deemphasis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.deemphasis &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.deemphasis &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.deemphasis<a class="headerlink" href="#torchaudio-functional-deemphasis" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.deemphasis">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">deemphasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#deemphasis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.deemphasis" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">deemphasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#deemphasis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.deemphasis" title="Permalink to this definition">¶</a></dt>
 <dd><p>De-emphasizes a waveform along its last dimension.
 Inverse of <a class="reference internal" href="torchaudio.functional.preemphasis.html#torchaudio.functional.preemphasis" title="torchaudio.functional.preemphasis"><code class="xref py py-meth docutils literal notranslate"><span class="pre">preemphasis()</span></code></a>. Concretely, for each signal
 <span class="math">\(x\)</span> in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, computes output <span class="math">\(y\)</span> as</p>
@@ -453,7 +453,7 @@ <h1>torchaudio.functional.deemphasis<a class="headerlink" href="#torchaudio-func
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p></li>
 <li><p><strong>coeff</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – De-emphasis coefficient. Typically between 0.0 and 1.0.
 (Default: 0.97)</p></li>
 </ul>
@@ -462,7 +462,7 @@ <h1>torchaudio.functional.deemphasis<a class="headerlink" href="#torchaudio-func
 <dd class="field-even"><p>De-emphasized waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.detect_pitch_frequency.html b/main/generated/torchaudio.functional.detect_pitch_frequency.html
index 905dc1a5ad..02eeb1e3a5 100644
--- a/main/generated/torchaudio.functional.detect_pitch_frequency.html
+++ b/main/generated/torchaudio.functional.detect_pitch_frequency.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.detect_pitch_frequency &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.detect_pitch_frequency &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.detect_pitch_frequency<a class="headerlink" href="#torchaudio-functional-detect-pitch-frequency" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.detect_pitch_frequency">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">detect_pitch_frequency</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freq_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">85</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freq_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3400</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#detect_pitch_frequency"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.detect_pitch_frequency" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">detect_pitch_frequency</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freq_low</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">85</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">freq_high</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3400</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#detect_pitch_frequency"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.detect_pitch_frequency" title="Permalink to this definition">¶</a></dt>
 <dd><p>Detect pitch frequency.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.dither.html b/main/generated/torchaudio.functional.dither.html
index 791fd907b7..bc9473d6f8 100644
--- a/main/generated/torchaudio.functional.dither.html
+++ b/main/generated/torchaudio.functional.dither.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.dither &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.dither &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.dither<a class="headerlink" href="#torchaudio-functional-dither" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.dither">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">dither</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">density_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'TPDF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_shaping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#dither"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.dither" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">dither</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">density_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'TPDF'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_shaping</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#dither"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.dither" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply dither</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.edit_distance.html b/main/generated/torchaudio.functional.edit_distance.html
index 1d32701622..d6b2d84c34 100644
--- a/main/generated/torchaudio.functional.edit_distance.html
+++ b/main/generated/torchaudio.functional.edit_distance.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.edit_distance &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.edit_distance &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.functional.equalizer_biquad.html b/main/generated/torchaudio.functional.equalizer_biquad.html
index 99594e0fe3..cd4895ca8c 100644
--- a/main/generated/torchaudio.functional.equalizer_biquad.html
+++ b/main/generated/torchaudio.functional.equalizer_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.equalizer_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.equalizer_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.equalizer_biquad<a class="headerlink" href="#torchaudio-functional-equalizer-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.equalizer_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">equalizer_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#equalizer_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.equalizer_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">equalizer_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#equalizer_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.equalizer_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design biquad peaking equalizer filter and perform filtering.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -450,8 +450,8 @@ <h1>torchaudio.functional.equalizer_biquad<a class="headerlink" href="#torchaudi
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
 <li><p><strong>center_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a>) – filter’s central frequency</p></li>
-<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.fftconvolve.html b/main/generated/torchaudio.functional.fftconvolve.html
index 1b82c60918..1f4e0bc67c 100644
--- a/main/generated/torchaudio.functional.fftconvolve.html
+++ b/main/generated/torchaudio.functional.fftconvolve.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.fftconvolve &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.fftconvolve &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.fftconvolve<a class="headerlink" href="#torchaudio-functional-fftconvolve" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.fftconvolve">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">fftconvolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#fftconvolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.fftconvolve" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">fftconvolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#fftconvolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.fftconvolve" title="Permalink to this definition">¶</a></dt>
 <dd><p>Convolves inputs along their last dimension using FFT. For inputs with large last dimensions, this function
 is generally much faster than <a class="reference internal" href="torchaudio.functional.convolve.html#torchaudio.functional.convolve" title="torchaudio.functional.convolve"><code class="xref py py-meth docutils literal notranslate"><span class="pre">convolve()</span></code></a>.
 Note that, in contrast to <code class="xref py py-meth docutils literal notranslate"><span class="pre">torch.nn.functional.conv1d()</span></code>, which actually applies the valid cross-correlation
@@ -451,8 +451,8 @@ <h1>torchaudio.functional.fftconvolve<a class="headerlink" href="#torchaudio-fun
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
+<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
 (leading dimensions must be broadcast-able with those of <code class="docutils literal notranslate"><span class="pre">x</span></code>).</p></li>
 <li><p><strong>mode</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><em>str</em></a><em>, </em><em>optional</em>) – <p>Must be one of (“full”, “valid”, “same”).</p>
 <ul>
@@ -469,7 +469,7 @@ <h1>torchaudio.functional.fftconvolve<a class="headerlink" href="#torchaudio-fun
 the leading dimensions match those of <code class="docutils literal notranslate"><span class="pre">x</span></code> and <cite>L</cite> is dictated by <code class="docutils literal notranslate"><span class="pre">mode</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 <dl>
diff --git a/main/generated/torchaudio.functional.filtfilt.html b/main/generated/torchaudio.functional.filtfilt.html
index 08ef777ae2..452b70f2aa 100644
--- a/main/generated/torchaudio.functional.filtfilt.html
+++ b/main/generated/torchaudio.functional.filtfilt.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.filtfilt &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.filtfilt &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.filtfilt<a class="headerlink" href="#torchaudio-functional-filtfilt" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.filtfilt">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">filtfilt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#filtfilt"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.filtfilt" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">filtfilt</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#filtfilt"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.filtfilt" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply an IIR filter forward and backward to a waveform.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.flanger.html b/main/generated/torchaudio.functional.flanger.html
index fe95ff0e03..258e46e7f9 100644
--- a/main/generated/torchaudio.functional.flanger.html
+++ b/main/generated/torchaudio.functional.flanger.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.flanger &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.flanger &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.flanger<a class="headerlink" href="#torchaudio-functional-flanger" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.flanger">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">flanger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">depth</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regen</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">71.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">phase</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">modulation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinusoidal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'linear'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#flanger"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.flanger" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">flanger</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">depth</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">regen</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">71.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">phase</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">25.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">modulation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinusoidal'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'linear'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#flanger"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.flanger" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a flanger effect to the audio. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.forced_align.html b/main/generated/torchaudio.functional.forced_align.html
index 4f23c6049a..11600a71dd 100644
--- a/main/generated/torchaudio.functional.forced_align.html
+++ b/main/generated/torchaudio.functional.forced_align.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.forced_align &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.forced_align &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.forced_align<a class="headerlink" href="#torchaudio-functional-forced-align" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.forced_align">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">forced_align</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">log_probs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/_alignment.html#forced_align"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.forced_align" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">forced_align</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">log_probs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/_alignment.html#forced_align"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.forced_align" title="Permalink to this definition">¶</a></dt>
 <dd><p>Align a CTC label sequence to an emission.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.frechet_distance.html b/main/generated/torchaudio.functional.frechet_distance.html
index 310f272935..c361033659 100644
--- a/main/generated/torchaudio.functional.frechet_distance.html
+++ b/main/generated/torchaudio.functional.frechet_distance.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.frechet_distance &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.frechet_distance &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -452,17 +452,17 @@ <h1>torchaudio.functional.frechet_distance<a class="headerlink" href="#torchaudi
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>mu_x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – mean <span class="math">\(\mu_X\)</span> of multivariate Gaussian <span class="math">\(X\)</span>, with shape <cite>(N,)</cite>.</p></li>
-<li><p><strong>sigma_x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – covariance matrix <span class="math">\(\Sigma_X\)</span> of <span class="math">\(X\)</span>, with shape <cite>(N, N)</cite>.</p></li>
-<li><p><strong>mu_y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – mean <span class="math">\(\mu_Y\)</span> of multivariate Gaussian <span class="math">\(Y\)</span>, with shape <cite>(N,)</cite>.</p></li>
-<li><p><strong>sigma_y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – covariance matrix <span class="math">\(\Sigma_Y\)</span> of <span class="math">\(Y\)</span>, with shape <cite>(N, N)</cite>.</p></li>
+<li><p><strong>mu_x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – mean <span class="math">\(\mu_X\)</span> of multivariate Gaussian <span class="math">\(X\)</span>, with shape <cite>(N,)</cite>.</p></li>
+<li><p><strong>sigma_x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – covariance matrix <span class="math">\(\Sigma_X\)</span> of <span class="math">\(X\)</span>, with shape <cite>(N, N)</cite>.</p></li>
+<li><p><strong>mu_y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – mean <span class="math">\(\mu_Y\)</span> of multivariate Gaussian <span class="math">\(Y\)</span>, with shape <cite>(N,)</cite>.</p></li>
+<li><p><strong>sigma_y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – covariance matrix <span class="math">\(\Sigma_Y\)</span> of <span class="math">\(Y\)</span>, with shape <cite>(N, N)</cite>.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>the Fréchet distance between <span class="math">\(X\)</span> and <span class="math">\(Y\)</span>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.gain.html b/main/generated/torchaudio.functional.gain.html
index 6c15c74598..43b46ce2a4 100644
--- a/main/generated/torchaudio.functional.gain.html
+++ b/main/generated/torchaudio.functional.gain.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.gain &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.gain &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.gain<a class="headerlink" href="#torchaudio-functional-gain" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.gain">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">gain</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#gain"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.gain" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">gain</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_db</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#gain"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.gain" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply amplification or attenuation to the whole waveform.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.griffinlim.html b/main/generated/torchaudio.functional.griffinlim.html
index 3365de94b1..68078d3ebc 100644
--- a/main/generated/torchaudio.functional.griffinlim.html
+++ b/main/generated/torchaudio.functional.griffinlim.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.griffinlim &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.griffinlim &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.griffinlim<a class="headerlink" href="#torchaudio-functional-griffinlim" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.griffinlim">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">griffinlim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">momentum</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rand_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#griffinlim"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.griffinlim" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">griffinlim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">momentum</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rand_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#griffinlim"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.griffinlim" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute waveform from a linear scale magnitude spectrogram using the Griffin-Lim transformation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.highpass_biquad.html b/main/generated/torchaudio.functional.highpass_biquad.html
index edc4fb3c12..2312938322 100644
--- a/main/generated/torchaudio.functional.highpass_biquad.html
+++ b/main/generated/torchaudio.functional.highpass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.highpass_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.highpass_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.highpass_biquad<a class="headerlink" href="#torchaudio-functional-highpass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.highpass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">highpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#highpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.highpass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">highpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#highpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.highpass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design biquad highpass filter and perform filtering.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,8 +449,8 @@ <h1>torchaudio.functional.highpass_biquad<a class="headerlink" href="#torchaudio
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>cutoff_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – filter cutoff frequency</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>cutoff_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – filter cutoff frequency</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.inverse_spectrogram.html b/main/generated/torchaudio.functional.inverse_spectrogram.html
index 56df02fd53..fb16fd14b7 100644
--- a/main/generated/torchaudio.functional.inverse_spectrogram.html
+++ b/main/generated/torchaudio.functional.inverse_spectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.inverse_spectrogram &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.inverse_spectrogram &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.inverse_spectrogram<a class="headerlink" href="#torchaudio-functional-inverse-spectrogram" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.inverse_spectrogram">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">inverse_spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrogram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">onesided</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#inverse_spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.inverse_spectrogram" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">inverse_spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrogram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">onesided</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#inverse_spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.inverse_spectrogram" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create an inverse spectrogram or a batch of inverse spectrograms from the provided
 complex-valued spectrogram.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
diff --git a/main/generated/torchaudio.functional.lfilter.html b/main/generated/torchaudio.functional.lfilter.html
index 5639f2801d..04175e7474 100644
--- a/main/generated/torchaudio.functional.lfilter.html
+++ b/main/generated/torchaudio.functional.lfilter.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.lfilter &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.lfilter &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.lfilter<a class="headerlink" href="#torchaudio-functional-lfilter" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.lfilter">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">lfilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batching</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#lfilter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.lfilter" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">lfilter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_coeffs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batching</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#lfilter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.lfilter" title="Permalink to this definition">¶</a></dt>
 <dd><p>Perform an IIR filter by evaluating difference equation, using differentiable implementation
 developed separately by <em>Yu et al.</em> <span id="id1">[<a class="reference internal" href="../references.html#id73" title="Chin-Yun Yu and György Fazekas. Singing voice synthesis using differentiable LPC and glottal-flow-inspired wavetables. In Augusto Sarti, Fabio Antonacci, Mark Sandler, Paolo Bestagini, Simon Dixon, Beici Liang, Gaël Richard, and Johan Pauwels, editors, Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023, 667–675. 2023. URL: https://doi.org/10.5281/zenodo.10265377, doi:10.5281/ZENODO.10265377.">Yu and Fazekas, 2023</a>]</span> and <em>Forgione et al.</em> <span id="id2">[<a class="reference internal" href="../references.html#id74" title="Marco Forgione and Dario Piga. Dynonet: a neural network architecture for learning dynamical systems. International Journal of Adaptive Control and Signal Processing, 35(4):612–626, 2021.">Forgione and Piga, 2021</a>]</span>.
 The gradients of <code class="docutils literal notranslate"><span class="pre">a_coeffs</span></code> are computed based on a faster algorithm from <span id="id3">[<a class="reference internal" href="../references.html#id75" title="Chin-Yun Yu, Christopher Mitcheltree, Alistair Carson, Stefan Bilbao, Joshua D. Reiss, and György Fazekas. Differentiable all-pole filters for time-varying audio systems. In International Conference on Digital Audio Effects (DAFx), 345–352. 2024.">Yu <em>et al.</em>, 2024</a>]</span>.</p>
diff --git a/main/generated/torchaudio.functional.linear_fbanks.html b/main/generated/torchaudio.functional.linear_fbanks.html
index 62d828d3b0..7bc8b50f81 100644
--- a/main/generated/torchaudio.functional.linear_fbanks.html
+++ b/main/generated/torchaudio.functional.linear_fbanks.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.linear_fbanks &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.linear_fbanks &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.linear_fbanks<a class="headerlink" href="#torchaudio-functional-linear-fbanks" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.linear_fbanks">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">linear_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#linear_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.linear_fbanks" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">linear_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_filter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#linear_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.linear_fbanks" title="Permalink to this definition">¶</a></dt>
 <dd><p>Creates a linear triangular filterbank.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.loudness.html b/main/generated/torchaudio.functional.loudness.html
index eaa3cb2e4a..53f1d46bba 100644
--- a/main/generated/torchaudio.functional.loudness.html
+++ b/main/generated/torchaudio.functional.loudness.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.loudness &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.loudness &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,14 +440,14 @@
 <h1>torchaudio.functional.loudness<a class="headerlink" href="#torchaudio-functional-loudness" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.loudness">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">loudness</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#loudness"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.loudness" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">loudness</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#loudness"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.loudness" title="Permalink to this definition">¶</a></dt>
 <dd><p>Measure audio loudness according to the ITU-R BS.1770-4 recommendation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – audio waveform of dimension <cite>(…, channels, time)</cite></p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – audio waveform of dimension <cite>(…, channels, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform</p></li>
 </ul>
 </dd>
diff --git a/main/generated/torchaudio.functional.lowpass_biquad.html b/main/generated/torchaudio.functional.lowpass_biquad.html
index a9c9f4e519..b4769316e4 100644
--- a/main/generated/torchaudio.functional.lowpass_biquad.html
+++ b/main/generated/torchaudio.functional.lowpass_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.lowpass_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.lowpass_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,17 +440,17 @@
 <h1>torchaudio.functional.lowpass_biquad<a class="headerlink" href="#torchaudio-functional-lowpass-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.lowpass_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">lowpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#lowpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.lowpass_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">lowpass_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#lowpass_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.lowpass_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design biquad lowpass filter and perform filtering.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>cutoff_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – filter cutoff frequency</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
+<li><p><strong>cutoff_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – filter cutoff frequency</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>)</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.mask_along_axis.html b/main/generated/torchaudio.functional.mask_along_axis.html
index fe582efe46..4a6e6beb90 100644
--- a/main/generated/torchaudio.functional.mask_along_axis.html
+++ b/main/generated/torchaudio.functional.mask_along_axis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mask_along_axis &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.mask_along_axis &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mask_along_axis<a class="headerlink" href="#torchaudio-functional-mask-along-axis" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mask_along_axis">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mask_along_axis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mask_along_axis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mask_along_axis" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mask_along_axis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mask_along_axis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mask_along_axis" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a mask along <code class="docutils literal notranslate"><span class="pre">axis</span></code>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.mask_along_axis_iid.html b/main/generated/torchaudio.functional.mask_along_axis_iid.html
index 74c3463a76..58daa94eca 100644
--- a/main/generated/torchaudio.functional.mask_along_axis_iid.html
+++ b/main/generated/torchaudio.functional.mask_along_axis_iid.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mask_along_axis_iid &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.mask_along_axis_iid &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mask_along_axis_iid<a class="headerlink" href="#torchaudio-functional-mask-along-axis-iid" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mask_along_axis_iid">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mask_along_axis_iid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mask_along_axis_iid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mask_along_axis_iid" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mask_along_axis_iid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_param</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mask_along_axis_iid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mask_along_axis_iid" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a mask along <code class="docutils literal notranslate"><span class="pre">axis</span></code>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.melscale_fbanks.html b/main/generated/torchaudio.functional.melscale_fbanks.html
index f1b1184523..917a6b44cc 100644
--- a/main/generated/torchaudio.functional.melscale_fbanks.html
+++ b/main/generated/torchaudio.functional.melscale_fbanks.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.melscale_fbanks &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.melscale_fbanks &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.melscale_fbanks<a class="headerlink" href="#torchaudio-functional-melscale-fbanks" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.melscale_fbanks">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">melscale_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_mels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'htk'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#melscale_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.melscale_fbanks" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">melscale_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_mels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'htk'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#melscale_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.melscale_fbanks" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a frequency bin conversion matrix.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.merge_tokens.html b/main/generated/torchaudio.functional.merge_tokens.html
index ca333f254f..407ad37d20 100644
--- a/main/generated/torchaudio.functional.merge_tokens.html
+++ b/main/generated/torchaudio.functional.merge_tokens.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.merge_tokens &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.merge_tokens &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.merge_tokens<a class="headerlink" href="#torchaudio-functional-merge-tokens" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.merge_tokens">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">merge_tokens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">scores</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torchaudio.functional.TokenSpan.html#torchaudio.functional.TokenSpan" title="torchaudio.functional._alignment.TokenSpan"><span class="pre">TokenSpan</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/_alignment.html#merge_tokens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.merge_tokens" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">merge_tokens</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">scores</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torchaudio.functional.TokenSpan.html#torchaudio.functional.TokenSpan" title="torchaudio.functional._alignment.TokenSpan"><span class="pre">TokenSpan</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/_alignment.html#merge_tokens"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.merge_tokens" title="Permalink to this definition">¶</a></dt>
 <dd><p>Removes repeated tokens and blank tokens from the given CTC token sequence.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.mu_law_decoding.html b/main/generated/torchaudio.functional.mu_law_decoding.html
index 3c53061a04..d0eab6d9e5 100644
--- a/main/generated/torchaudio.functional.mu_law_decoding.html
+++ b/main/generated/torchaudio.functional.mu_law_decoding.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mu_law_decoding &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.mu_law_decoding &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mu_law_decoding<a class="headerlink" href="#torchaudio-functional-mu-law-decoding" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mu_law_decoding">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mu_law_decoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mu_law_decoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mu_law_decoding" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mu_law_decoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mu_law_decoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mu_law_decoding" title="Permalink to this definition">¶</a></dt>
 <dd><p>Decode mu-law encoded signal.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.mu_law_encoding.html b/main/generated/torchaudio.functional.mu_law_encoding.html
index 70d87f677a..c5ea759836 100644
--- a/main/generated/torchaudio.functional.mu_law_encoding.html
+++ b/main/generated/torchaudio.functional.mu_law_encoding.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mu_law_encoding &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.mu_law_encoding &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mu_law_encoding<a class="headerlink" href="#torchaudio-functional-mu-law-encoding" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mu_law_encoding">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mu_law_encoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mu_law_encoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mu_law_encoding" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mu_law_encoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantization_channels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mu_law_encoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mu_law_encoding" title="Permalink to this definition">¶</a></dt>
 <dd><p>Encode signal based on mu-law companding.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.mvdr_weights_rtf.html b/main/generated/torchaudio.functional.mvdr_weights_rtf.html
index ddaa5db210..6a6bd07662 100644
--- a/main/generated/torchaudio.functional.mvdr_weights_rtf.html
+++ b/main/generated/torchaudio.functional.mvdr_weights_rtf.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mvdr_weights_rtf &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.mvdr_weights_rtf &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mvdr_weights_rtf<a class="headerlink" href="#torchaudio-functional-mvdr-weights-rtf" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mvdr_weights_rtf">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mvdr_weights_rtf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rtf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mvdr_weights_rtf"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mvdr_weights_rtf" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mvdr_weights_rtf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">rtf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mvdr_weights_rtf"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mvdr_weights_rtf" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the Minimum Variance Distortionless Response (<em>MVDR</em> <span id="id1">[<a class="reference internal" href="../references.html#id34" title="Jack Capon. High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE, 57(8):1408–1418, 1969.">Capon, 1969</a>]</span>) beamforming weights
 based on the relative transfer function (RTF) and power spectral density (PSD) matrix of noise.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
@@ -459,11 +459,11 @@ <h1>torchaudio.functional.mvdr_weights_rtf<a class="headerlink" href="#torchaudi
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>rtf</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued RTF vector of target speech.
+<li><p><strong>rtf</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued RTF vector of target speech.
 Tensor with dimensions <cite>(…, freq, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -479,7 +479,7 @@ <h1>torchaudio.functional.mvdr_weights_rtf<a class="headerlink" href="#torchaudi
 <dd class="field-even"><p>The complex-valued MVDR beamforming weight matrix with dimensions <cite>(…, freq, channel)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.mvdr_weights_souden.html b/main/generated/torchaudio.functional.mvdr_weights_souden.html
index 03e79cef47..0f36e92809 100644
--- a/main/generated/torchaudio.functional.mvdr_weights_souden.html
+++ b/main/generated/torchaudio.functional.mvdr_weights_souden.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.mvdr_weights_souden &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.mvdr_weights_souden &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.mvdr_weights_souden<a class="headerlink" href="#torchaudio-functional-mvdr-weights-souden" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.mvdr_weights_souden">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mvdr_weights_souden</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mvdr_weights_souden"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mvdr_weights_souden" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">mvdr_weights_souden</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#mvdr_weights_souden"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.mvdr_weights_souden" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the Minimum Variance Distortionless Response (<em>MVDR</em> <span id="id1">[<a class="reference internal" href="../references.html#id34" title="Jack Capon. High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE, 57(8):1408–1418, 1969.">Capon, 1969</a>]</span>) beamforming weights
 by the method proposed by <em>Souden et, al.</em> <span id="id2">[<a class="reference internal" href="../references.html#id28" title="Mehrez Souden, Jacob Benesty, and Sofiene Affes. On optimal frequency-domain multichannel linear filtering for noise reduction. In IEEE Transactions on audio, speech, and language processing, volume 18, 260–276. IEEE, 2009.">Souden <em>et al.</em>, 2009</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
@@ -458,11 +458,11 @@ <h1>torchaudio.functional.mvdr_weights_souden<a class="headerlink" href="#torcha
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
+<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -478,7 +478,7 @@ <h1>torchaudio.functional.mvdr_weights_souden<a class="headerlink" href="#torcha
 <dd class="field-even"><p>The complex-valued MVDR beamforming weight matrix with dimensions <cite>(…, freq, channel)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.overdrive.html b/main/generated/torchaudio.functional.overdrive.html
index d687f2814c..96de3b7b9c 100644
--- a/main/generated/torchaudio.functional.overdrive.html
+++ b/main/generated/torchaudio.functional.overdrive.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.overdrive &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.overdrive &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.overdrive<a class="headerlink" href="#torchaudio-functional-overdrive" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.overdrive">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">overdrive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">colour</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#overdrive"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.overdrive" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">overdrive</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">colour</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#overdrive"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.overdrive" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a overdrive effect to the audio. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.phase_vocoder.html b/main/generated/torchaudio.functional.phase_vocoder.html
index 85fcf5ffc3..3b79413b20 100644
--- a/main/generated/torchaudio.functional.phase_vocoder.html
+++ b/main/generated/torchaudio.functional.phase_vocoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.phase_vocoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.phase_vocoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.phase_vocoder<a class="headerlink" href="#torchaudio-functional-phase-vocoder" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.phase_vocoder">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">phase_vocoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">complex_specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">phase_advance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#phase_vocoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.phase_vocoder" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">phase_vocoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">complex_specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">phase_advance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#phase_vocoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.phase_vocoder" title="Permalink to this definition">¶</a></dt>
 <dd><p>Given a STFT tensor, speed up in time without modifying pitch by a factor of <code class="docutils literal notranslate"><span class="pre">rate</span></code>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.phaser.html b/main/generated/torchaudio.functional.phaser.html
index 0e62874f55..8303b52e88 100644
--- a/main/generated/torchaudio.functional.phaser.html
+++ b/main/generated/torchaudio.functional.phaser.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.phaser &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.phaser &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.phaser<a class="headerlink" href="#torchaudio-functional-phaser" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.phaser">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">phaser</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.74</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_ms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mod_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sinusoidal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#phaser"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.phaser" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">phaser</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_in</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain_out</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.74</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_ms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mod_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sinusoidal</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#phaser"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.phaser" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply a phasing effect to the audio. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.pitch_shift.html b/main/generated/torchaudio.functional.pitch_shift.html
index aeca3ed0ca..a612bec5d2 100644
--- a/main/generated/torchaudio.functional.pitch_shift.html
+++ b/main/generated/torchaudio.functional.pitch_shift.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.pitch_shift &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.pitch_shift &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.pitch_shift<a class="headerlink" href="#torchaudio-functional-pitch-shift" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.pitch_shift">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">pitch_shift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins_per_octave</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#pitch_shift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.pitch_shift" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">pitch_shift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins_per_octave</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">12</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#pitch_shift"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.pitch_shift" title="Permalink to this definition">¶</a></dt>
 <dd><p>Shift the pitch of a waveform by <code class="docutils literal notranslate"><span class="pre">n_steps</span></code> steps.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.preemphasis.html b/main/generated/torchaudio.functional.preemphasis.html
index 0b6252e95c..d425507a57 100644
--- a/main/generated/torchaudio.functional.preemphasis.html
+++ b/main/generated/torchaudio.functional.preemphasis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.preemphasis &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.preemphasis &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.preemphasis<a class="headerlink" href="#torchaudio-functional-preemphasis" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.preemphasis">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">preemphasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#preemphasis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.preemphasis" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">preemphasis</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coeff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.97</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#preemphasis"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.preemphasis" title="Permalink to this definition">¶</a></dt>
 <dd><p>Pre-emphasizes a waveform along its last dimension, i.e.
 for each signal <span class="math">\(x\)</span> in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, computes
 output <span class="math">\(y\)</span> as</p>
@@ -453,7 +453,7 @@ <h1>torchaudio.functional.preemphasis<a class="headerlink" href="#torchaudio-fun
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p></li>
 <li><p><strong>coeff</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – Pre-emphasis coefficient. Typically between 0.0 and 1.0.
 (Default: 0.97)</p></li>
 </ul>
@@ -462,7 +462,7 @@ <h1>torchaudio.functional.preemphasis<a class="headerlink" href="#torchaudio-fun
 <dd class="field-even"><p>Pre-emphasized waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.psd.html b/main/generated/torchaudio.functional.psd.html
index 589e188ed7..380b9a0522 100644
--- a/main/generated/torchaudio.functional.psd.html
+++ b/main/generated/torchaudio.functional.psd.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.psd &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.psd &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,16 +440,16 @@
 <h1>torchaudio.functional.psd<a class="headerlink" href="#torchaudio-functional-psd" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.psd">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">psd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-10</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#psd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.psd" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">psd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-10</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#psd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.psd" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute cross-channel power spectral density (PSD) matrix.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite>.</p></li>
-<li><p><strong>mask</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask for normalization.
+<li><p><strong>mask</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask for normalization.
 Tensor with dimensions <cite>(…, freq, time)</cite>. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 <li><p><strong>normalize</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><em>bool</em></a><em>, </em><em>optional</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, normalize the mask along the time dimension. (Default: <code class="docutils literal notranslate"><span class="pre">True</span></code>)</p></li>
 <li><p><strong>eps</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – Value to add to the denominator in mask normalization. (Default: <code class="docutils literal notranslate"><span class="pre">1e-15</span></code>)</p></li>
@@ -460,7 +460,7 @@ <h1>torchaudio.functional.psd<a class="headerlink" href="#torchaudio-functional-
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite></p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.resample.html b/main/generated/torchaudio.functional.resample.html
index 6c084d50bb..a48f673013 100644
--- a/main/generated/torchaudio.functional.resample.html
+++ b/main/generated/torchaudio.functional.resample.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.resample &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.resample &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.resample<a class="headerlink" href="#torchaudio-functional-resample" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.resample">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">resample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lowpass_filter_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rolloff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resampling_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinc_interp_hann'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#resample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.resample" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">resample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lowpass_filter_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rolloff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resampling_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinc_interp_hann'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#resample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.resample" title="Permalink to this definition">¶</a></dt>
 <dd><p>Resamples the waveform at the new frequency using bandlimited interpolation. <span id="id1">[<a class="reference internal" href="../references.html#id4" title="Julius O. Smith. Digital audio resampling home page &quot;theory of ideal bandlimited interpolation&quot; section. September 2020. URL: https://ccrma.stanford.edu/~jos/resample/Theory_Ideal_Bandlimited_Interpolation.html.">Smith, 2020</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.riaa_biquad.html b/main/generated/torchaudio.functional.riaa_biquad.html
index 829d051492..a10cbf22ed 100644
--- a/main/generated/torchaudio.functional.riaa_biquad.html
+++ b/main/generated/torchaudio.functional.riaa_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.riaa_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.riaa_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.riaa_biquad<a class="headerlink" href="#torchaudio-functional-riaa-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.riaa_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">riaa_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#riaa_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.riaa_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">riaa_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#riaa_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.riaa_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply RIAA vinyl playback equalization.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.rnnt_loss.html b/main/generated/torchaudio.functional.rnnt_loss.html
index 760e7fb2b8..15eaedbb04 100644
--- a/main/generated/torchaudio.functional.rnnt_loss.html
+++ b/main/generated/torchaudio.functional.rnnt_loss.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.rnnt_loss &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.rnnt_loss &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.rnnt_loss<a class="headerlink" href="#torchaudio-functional-rnnt-loss" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.rnnt_loss">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rnnt_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">logit_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fused_log_softmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rnnt_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rnnt_loss" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rnnt_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">logit_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">clamp</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fused_log_softmax</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rnnt_loss"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rnnt_loss" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the RNN Transducer loss from <em>Sequence Transduction with Recurrent Neural Networks</em>
 <span id="id1">[<a class="reference internal" href="../references.html#id18" title="Alex Graves. Sequence transduction with recurrent neural networks. 2012. arXiv:1211.3711.">Graves, 2012</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
diff --git a/main/generated/torchaudio.functional.rtf_evd.html b/main/generated/torchaudio.functional.rtf_evd.html
index 2dbdaa2e2c..1e7872d233 100644
--- a/main/generated/torchaudio.functional.rtf_evd.html
+++ b/main/generated/torchaudio.functional.rtf_evd.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.rtf_evd &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.rtf_evd &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.rtf_evd<a class="headerlink" href="#torchaudio-functional-rtf-evd" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.rtf_evd">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rtf_evd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rtf_evd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rtf_evd" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rtf_evd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rtf_evd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rtf_evd" title="Permalink to this definition">¶</a></dt>
 <dd><p>Estimate the relative transfer function (RTF) or the steering vector by eigenvalue decomposition.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.rtf_power.html b/main/generated/torchaudio.functional.rtf_power.html
index 8e3b6d1d30..1da4141861 100644
--- a/main/generated/torchaudio.functional.rtf_power.html
+++ b/main/generated/torchaudio.functional.rtf_power.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.rtf_power &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.rtf_power &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,18 +440,18 @@
 <h1>torchaudio.functional.rtf_power<a class="headerlink" href="#torchaudio-functional-rtf-power" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.rtf_power">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rtf_power</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rtf_power"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rtf_power" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">rtf_power</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iter</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#rtf_power"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.rtf_power" title="Permalink to this definition">¶</a></dt>
 <dd><p>Estimate the relative transfer function (RTF) or the steering vector by the power method.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
+<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -466,7 +466,7 @@ <h1>torchaudio.functional.rtf_power<a class="headerlink" href="#torchaudio-funct
 Tensor of dimension <cite>(…, freq, channel)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 <dl>
diff --git a/main/generated/torchaudio.functional.sliding_window_cmn.html b/main/generated/torchaudio.functional.sliding_window_cmn.html
index bb4daffcdc..26d4afd23c 100644
--- a/main/generated/torchaudio.functional.sliding_window_cmn.html
+++ b/main/generated/torchaudio.functional.sliding_window_cmn.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.sliding_window_cmn &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.sliding_window_cmn &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.sliding_window_cmn<a class="headerlink" href="#torchaudio-functional-sliding-window-cmn" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.sliding_window_cmn">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">sliding_window_cmn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmn_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">600</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_cmn_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_vars</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#sliding_window_cmn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.sliding_window_cmn" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">sliding_window_cmn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmn_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">600</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_cmn_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm_vars</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#sliding_window_cmn"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.sliding_window_cmn" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply sliding-window cepstral mean (and optionally variance) normalization per utterance.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.functional.spectral_centroid.html b/main/generated/torchaudio.functional.spectral_centroid.html
index 8682840edd..01bdf6e539 100644
--- a/main/generated/torchaudio.functional.spectral_centroid.html
+++ b/main/generated/torchaudio.functional.spectral_centroid.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.spectral_centroid &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.spectral_centroid &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.spectral_centroid<a class="headerlink" href="#torchaudio-functional-spectral-centroid" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.spectral_centroid">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">spectral_centroid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#spectral_centroid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.spectral_centroid" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">spectral_centroid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#spectral_centroid"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.spectral_centroid" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the spectral centroid for each channel along the time axis.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.functional.spectrogram.html b/main/generated/torchaudio.functional.spectrogram.html
index 93b1f6d806..7d5caada53 100644
--- a/main/generated/torchaudio.functional.spectrogram.html
+++ b/main/generated/torchaudio.functional.spectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.spectrogram &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.spectrogram &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.spectrogram<a class="headerlink" href="#torchaudio-functional-spectrogram" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.spectrogram">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">onesided</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_complex</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.spectrogram" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">spectrogram</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_fft</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">hop_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">power</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalized</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">onesided</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">return_complex</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#spectrogram"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.spectrogram" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a spectrogram or a batch of spectrograms from a raw audio signal.
 The spectrogram can be either magnitude-only or complex.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
diff --git a/main/generated/torchaudio.functional.speed.html b/main/generated/torchaudio.functional.speed.html
index d7bf6ad724..2b8364bfc5 100644
--- a/main/generated/torchaudio.functional.speed.html
+++ b/main/generated/torchaudio.functional.speed.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.speed &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.speed &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,18 +440,18 @@
 <h1>torchaudio.functional.speed<a class="headerlink" href="#torchaudio-functional-speed" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.speed">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">speed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#speed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.speed" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">speed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/functional/functional.html#speed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.speed" title="Permalink to this definition">¶</a></dt>
 <dd><p>Adjusts waveform speed.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
 <li><p><strong>orig_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – Original frequency of the signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>.</p></li>
 <li><p><strong>factor</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a>) – Factor by which to adjust speed of input. Values greater than 1.0
 compress <code class="docutils literal notranslate"><span class="pre">waveform</span></code> in time, whereas values less than 1.0 stretch <code class="docutils literal notranslate"><span class="pre">waveform</span></code> in time.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
 If <code class="docutils literal notranslate"><span class="pre">None</span></code>, all elements in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> are treated as valid. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
@@ -466,7 +466,7 @@ <h1>torchaudio.functional.speed<a class="headerlink" href="#torchaudio-functiona
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a> or None)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a> or None)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.functional.treble_biquad.html b/main/generated/torchaudio.functional.treble_biquad.html
index 2d14e98581..33e30c2405 100644
--- a/main/generated/torchaudio.functional.treble_biquad.html
+++ b/main/generated/torchaudio.functional.treble_biquad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.treble_biquad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.treble_biquad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.treble_biquad<a class="headerlink" href="#torchaudio-functional-treble-biquad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.treble_biquad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">treble_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#treble_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.treble_biquad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">treble_biquad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">gain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">central_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.707</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#treble_biquad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.treble_biquad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Design a treble tone-control effect.  Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -449,9 +449,9 @@ <h1>torchaudio.functional.treble_biquad<a class="headerlink" href="#torchaudio-f
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>waveform</strong> (<em>Tensor</em>) – audio waveform of dimension of <cite>(…, time)</cite></p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate of the waveform, e.g. 44100 (Hz)</p></li>
-<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB.</p></li>
-<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – central frequency (in Hz). (Default: <code class="docutils literal notranslate"><span class="pre">3000</span></code>)</p></li>
-<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
+<li><p><strong>gain</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – desired gain at the boost (or attenuation) in dB.</p></li>
+<li><p><strong>central_freq</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – central frequency (in Hz). (Default: <code class="docutils literal notranslate"><span class="pre">3000</span></code>)</p></li>
+<li><p><strong>Q</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – <a class="reference external" href="https://en.wikipedia.org/wiki/Q_factor">https://en.wikipedia.org/wiki/Q_factor</a> (Default: <code class="docutils literal notranslate"><span class="pre">0.707</span></code>).</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.functional.vad.html b/main/generated/torchaudio.functional.vad.html
index 6634d8af77..f467c041cb 100644
--- a/main/generated/torchaudio.functional.vad.html
+++ b/main/generated/torchaudio.functional.vad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.functional.vad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.functional.vad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.functional.vad<a class="headerlink" href="#torchaudio-functional-vad" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.functional.vad">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">vad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">trigger_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">7.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trigger_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_trigger_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.35</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_up_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_down_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_reduction_amount</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.35</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_smooth_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hp_filter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lp_filter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hp_lifter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">150.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lp_lifter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#vad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.vad" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.functional.</span></span><span class="sig-name descname"><span class="pre">vad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">trigger_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">7.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">trigger_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">allowed_gap</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_trigger_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boot_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.35</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_up_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_down_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.01</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_reduction_amount</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.35</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_duration</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">measure_smooth_time</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hp_filter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lp_filter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6000.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hp_lifter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">150.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lp_lifter_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/functional/filtering.html#vad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.functional.vad" title="Permalink to this definition">¶</a></dt>
 <dd><p>Voice Activity Detector. Similar to SoX implementation.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.info.html b/main/generated/torchaudio.info.html
index bace1f471e..067e6c822c 100644
--- a/main/generated/torchaudio.info.html
+++ b/main/generated/torchaudio.info.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.info &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.info &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.io.AudioEffector.html b/main/generated/torchaudio.io.AudioEffector.html
index 668f682190..b716dc832b 100644
--- a/main/generated/torchaudio.io.AudioEffector.html
+++ b/main/generated/torchaudio.io.AudioEffector.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>AudioEffector &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>AudioEffector &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -568,7 +568,7 @@ <h3>apply<a class="headerlink" href="#apply" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.io.AudioEffector.apply">
-<span class="sig-prename descclassname"><span class="pre">AudioEffector.</span></span><span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/io/_effector.html#AudioEffector.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.AudioEffector.apply" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">AudioEffector.</span></span><span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/io/_effector.html#AudioEffector.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.AudioEffector.apply" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply the effect and/or codecs to the whole tensor.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -599,7 +599,7 @@ <h3>stream<a class="headerlink" href="#stream" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.io.AudioEffector.stream">
-<span class="sig-prename descclassname"><span class="pre">AudioEffector.</span></span><span class="sig-name descname"><span class="pre">stream</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">frames_per_chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterator" title="(in Python v3.13)"><span class="pre">Iterator</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/io/_effector.html#AudioEffector.stream"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.AudioEffector.stream" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">AudioEffector.</span></span><span class="sig-name descname"><span class="pre">stream</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">frames_per_chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterator" title="(in Python v3.13)"><span class="pre">Iterator</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/io/_effector.html#AudioEffector.stream"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.AudioEffector.stream" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply the effect and/or codecs to the given tensor chunk by chunk.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.io.StreamReader.html b/main/generated/torchaudio.io.StreamReader.html
index 27792d8bf9..70ea4d7b15 100644
--- a/main/generated/torchaudio.io.StreamReader.html
+++ b/main/generated/torchaudio.io.StreamReader.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamReader &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>StreamReader &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.io.StreamWriter.html b/main/generated/torchaudio.io.StreamWriter.html
index 4898ba3476..99165d2f9b 100644
--- a/main/generated/torchaudio.io.StreamWriter.html
+++ b/main/generated/torchaudio.io.StreamWriter.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamWriter &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>StreamWriter &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.io.play_audio.html b/main/generated/torchaudio.io.play_audio.html
index 11c0801efa..67309caa9a 100644
--- a/main/generated/torchaudio.io.play_audio.html
+++ b/main/generated/torchaudio.io.play_audio.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>play_audio &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>play_audio &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>play_audio<a class="headerlink" href="#play-audio" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.io.play_audio">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.io.</span></span><span class="sig-name descname"><span class="pre">play_audio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/io/_playback.html#play_audio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.play_audio" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.io.</span></span><span class="sig-name descname"><span class="pre">play_audio</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/io/_playback.html#play_audio"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.io.play_audio" title="Permalink to this definition">¶</a></dt>
 <dd><p>Plays audio through specified or available output device.</p>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
diff --git a/main/generated/torchaudio.list_audio_backends.html b/main/generated/torchaudio.list_audio_backends.html
index 6ec6fd45f1..0e5c70cc94 100644
--- a/main/generated/torchaudio.list_audio_backends.html
+++ b/main/generated/torchaudio.list_audio_backends.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.list_audio_backends &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.list_audio_backends &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.load.html b/main/generated/torchaudio.load.html
index 2d3595d80a..0db789a0c7 100644
--- a/main/generated/torchaudio.load.html
+++ b/main/generated/torchaudio.load.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.load &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.load &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.load<a class="headerlink" href="#torchaudio-load" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.load">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.</span></span><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uri</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.BinaryIO" title="(in Python v3.13)"><span class="pre">BinaryIO</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/os.html#os.PathLike" title="(in Python v3.13)"><span class="pre">PathLike</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4096</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.load" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.</span></span><span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uri</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.BinaryIO" title="(in Python v3.13)"><span class="pre">BinaryIO</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/os.html#os.PathLike" title="(in Python v3.13)"><span class="pre">PathLike</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4096</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.load" title="Permalink to this definition">¶</a></dt>
 <dd><p>Load audio data from source.</p>
 <p>By default (<code class="docutils literal notranslate"><span class="pre">normalize=True</span></code>, <code class="docutils literal notranslate"><span class="pre">channels_first=True</span></code>), this function returns Tensor with
 <code class="docutils literal notranslate"><span class="pre">float32</span></code> dtype, and the shape of <cite>[channel, time]</cite>.</p>
@@ -510,7 +510,7 @@ <h1>torchaudio.load<a class="headerlink" href="#torchaudio-load" title="Permalin
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)">int</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)">int</a>)</p>
 </dd>
 </dl>
 <dl>
diff --git a/main/generated/torchaudio.models.Conformer.html b/main/generated/torchaudio.models.Conformer.html
index 4b8909d13b..ed9880ed76 100644
--- a/main/generated/torchaudio.models.Conformer.html
+++ b/main/generated/torchaudio.models.Conformer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Conformer &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Conformer &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -483,12 +483,12 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Conformer.forward">
-<span class="sig-prename descclassname"><span class="pre">Conformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/conformer.html#Conformer.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Conformer.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Conformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/conformer.html#Conformer.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Conformer.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B, T, input_dim)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B, T, input_dim)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
 </ul>
 </dd>
diff --git a/main/generated/torchaudio.models.ConvTasNet.html b/main/generated/torchaudio.models.ConvTasNet.html
index 041ee5fa30..20d88eec59 100644
--- a/main/generated/torchaudio.models.ConvTasNet.html
+++ b/main/generated/torchaudio.models.ConvTasNet.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ConvTasNet &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ConvTasNet &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -479,11 +479,11 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.ConvTasNet.forward">
-<span class="sig-prename descclassname"><span class="pre">ConvTasNet.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/conv_tasnet.html#ConvTasNet.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.ConvTasNet.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ConvTasNet.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/conv_tasnet.html#ConvTasNet.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.ConvTasNet.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Perform source separation. Generate audio source waveforms.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – 3D Tensor with shape [batch, channel==1, frames]</p>
+<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – 3D Tensor with shape [batch, channel==1, frames]</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>3D Tensor with shape [batch, channel==num_sources, frames]</p>
diff --git a/main/generated/torchaudio.models.DeepSpeech.html b/main/generated/torchaudio.models.DeepSpeech.html
index c7a0d92bfa..e1cc0ab251 100644
--- a/main/generated/torchaudio.models.DeepSpeech.html
+++ b/main/generated/torchaudio.models.DeepSpeech.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>DeepSpeech &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>DeepSpeech &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -462,10 +462,10 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.DeepSpeech.forward">
-<span class="sig-prename descclassname"><span class="pre">DeepSpeech.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/deepspeech.html#DeepSpeech.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.DeepSpeech.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">DeepSpeech.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/deepspeech.html#DeepSpeech.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.DeepSpeech.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Tensor of dimension (batch, channel, time, feature).</p>
+<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Tensor of dimension (batch, channel, time, feature).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Predictor tensor of dimension (batch, time, class).</p>
diff --git a/main/generated/torchaudio.models.Emformer.html b/main/generated/torchaudio.models.Emformer.html
index b07ddff230..1302e99847 100644
--- a/main/generated/torchaudio.models.Emformer.html
+++ b/main/generated/torchaudio.models.Emformer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Emformer &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Emformer &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -493,7 +493,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Emformer.forward">
-<span class="sig-prename descclassname"><span class="pre">Emformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.models.Emformer.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Emformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.models.Emformer.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for training and non-streaming inference.</p>
 <p>B: batch size;
 T: max number of input frames in batch;
@@ -501,9 +501,9 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
 shape <cite>(B, T + right_context_length, D)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid utterance frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
 </ul>
 </dd>
@@ -530,18 +530,18 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Emformer.infer">
-<span class="sig-prename descclassname"><span class="pre">Emformer.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.models.Emformer.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Emformer.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.models.Emformer.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for streaming inference.</p>
 <p>B: batch size;
 D: feature dimension of each frame.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
 shape <cite>(B, segment_length + right_context_length, D)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
-<li><p><strong>states</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
+<li><p><strong>states</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
 representing internal state generated in preceding invocation of <code class="docutils literal notranslate"><span class="pre">infer</span></code>. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
diff --git a/main/generated/torchaudio.models.HDemucs.html b/main/generated/torchaudio.models.HDemucs.html
index f4808eb7cc..f92edfe18f 100644
--- a/main/generated/torchaudio.models.HDemucs.html
+++ b/main/generated/torchaudio.models.HDemucs.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HDemucs &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HDemucs &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -497,11 +497,11 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.HDemucs.forward">
-<span class="sig-prename descclassname"><span class="pre">HDemucs.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/_hdemucs.html#HDemucs.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.HDemucs.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">HDemucs.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/_hdemucs.html#HDemucs.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.HDemucs.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>HDemucs forward call</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – input mixed tensor of shape <cite>(batch_size, channel, num_frames)</cite></p>
+<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – input mixed tensor of shape <cite>(batch_size, channel, num_frames)</cite></p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><dl class="simple">
diff --git a/main/generated/torchaudio.models.HuBERTPretrainModel.html b/main/generated/torchaudio.models.HuBERTPretrainModel.html
index 2859cc2e3c..fb975ffa9f 100644
--- a/main/generated/torchaudio.models.HuBERTPretrainModel.html
+++ b/main/generated/torchaudio.models.HuBERTPretrainModel.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HuBERTPretrainModel &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HuBERTPretrainModel &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -454,8 +454,8 @@ <h1>HuBERTPretrainModel<a class="headerlink" href="#hubertpretrainmodel" title="
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>wav2vec2</strong> (<a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.Wav2Vec2Model"><em>Wav2Vec2Model</em></a>) – Wav2Vec2 encoder that generates the transformer outputs.</p></li>
-<li><p><strong>mask_generator</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – Mask generator that generates the mask for masked prediction during the training.</p></li>
-<li><p><strong>logit_generator</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – Logit generator that predicts the logits of the masked and unmasked inputs.</p></li>
+<li><p><strong>mask_generator</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – Mask generator that generates the mask for masked prediction during the training.</p></li>
+<li><p><strong>logit_generator</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – Logit generator that predicts the logits of the masked and unmasked inputs.</p></li>
 <li><p><strong>feature_grad_mult</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><em>None</em>) – The factor to scale the convolutional feature extraction layer gradients by.
 If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the gradients of feature extraction layers are not affected.
 The scale factor will not affect the forward pass.</p></li>
@@ -472,7 +472,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.HuBERTPretrainModel.forward">
-<span class="sig-prename descclassname"><span class="pre">HuBERTPretrainModel.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">audio_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#HuBERTPretrainModel.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.HuBERTPretrainModel.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">HuBERTPretrainModel.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">audio_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#HuBERTPretrainModel.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.HuBERTPretrainModel.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the sequence of probability distribution over labels.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.models.RNNT.html b/main/generated/torchaudio.models.RNNT.html
index cd6aff38c1..bc96f1da8c 100644
--- a/main/generated/torchaudio.models.RNNT.html
+++ b/main/generated/torchaudio.models.RNNT.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNT &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>RNNT &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -453,9 +453,9 @@ <h1>RNNT<a class="headerlink" href="#rnnt" title="Permalink to this heading">¶<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>transcriber</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – transcription network.</p></li>
-<li><p><strong>predictor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – prediction network.</p></li>
-<li><p><strong>joiner</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – joint network.</p></li>
+<li><p><strong>transcriber</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – transcription network.</p></li>
+<li><p><strong>predictor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – prediction network.</p></li>
+<li><p><strong>joiner</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – joint network.</p></li>
 </ul>
 </dd>
 </dl>
@@ -469,7 +469,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.forward">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor_state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for training.</p>
 <p>B: batch size;
 T: maximum source sequence length in batch;
@@ -478,15 +478,15 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – source frame sequences right-padded with right context, with
+<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – source frame sequences right-padded with right context, with
 shape <cite>(B, T, D)</cite>.</p></li>
-<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</p></li>
-<li><p><strong>targets</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – target sequences, with shape <cite>(B, U)</cite> and each element
+<li><p><strong>targets</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – target sequences, with shape <cite>(B, U)</cite> and each element
 mapping to a target symbol.</p></li>
-<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">targets</span></code>.</p></li>
-<li><p><strong>predictor_state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
+<li><p><strong>predictor_state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
 representing prediction network internal state generated in preceding invocation
 of <code class="docutils literal notranslate"><span class="pre">forward</span></code>. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
@@ -510,7 +510,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>]])</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>]])</p>
 </dd>
 </dl>
 </dd></dl>
@@ -522,7 +522,7 @@ <h2>transcribe_streaming<a class="headerlink" href="#transcribe-streaming" title
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.transcribe_streaming">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">transcribe_streaming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.transcribe_streaming"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.transcribe_streaming" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">transcribe_streaming</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.transcribe_streaming"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.transcribe_streaming" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies transcription network to sources in streaming mode.</p>
 <p>B: batch size;
 T: maximum source sequence segment length in batch;
@@ -530,11 +530,11 @@ <h2>transcribe_streaming<a class="headerlink" href="#transcribe-streaming" title
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – source frame sequence segments right-padded with right context, with
+<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – source frame sequence segments right-padded with right context, with
 shape <cite>(B, T + right context length, D)</cite>.</p></li>
-<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</p></li>
-<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em>) – list of lists of tensors
+<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em>) – list of lists of tensors
 representing transcription network internal state generated in preceding invocation
 of <code class="docutils literal notranslate"><span class="pre">transcribe_streaming</span></code>.</p></li>
 </ul>
@@ -555,7 +555,7 @@ <h2>transcribe_streaming<a class="headerlink" href="#transcribe-streaming" title
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>]])</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>]])</p>
 </dd>
 </dl>
 </dd></dl>
@@ -567,7 +567,7 @@ <h2>transcribe<a class="headerlink" href="#transcribe" title="Permalink to this
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.transcribe">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">transcribe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.transcribe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.transcribe" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">transcribe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sources</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.transcribe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.transcribe" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies transcription network to sources in non-streaming mode.</p>
 <p>B: batch size;
 T: maximum source sequence length in batch;
@@ -575,9 +575,9 @@ <h2>transcribe<a class="headerlink" href="#transcribe" title="Permalink to this
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – source frame sequences right-padded with right context, with
+<li><p><strong>sources</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – source frame sequences right-padded with right context, with
 shape <cite>(B, T + right context length, D)</cite>.</p></li>
-<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">sources</span></code>.</p></li>
 </ul>
 </dd>
@@ -593,7 +593,7 @@ <h2>transcribe<a class="headerlink" href="#transcribe" title="Permalink to this
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
@@ -605,7 +605,7 @@ <h2>predict<a class="headerlink" href="#predict" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.predict">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.predict" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.predict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.predict" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies prediction network to targets.</p>
 <p>B: batch size;
 U: maximum target sequence length in batch;
@@ -613,11 +613,11 @@ <h2>predict<a class="headerlink" href="#predict" title="Permalink to this headin
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>targets</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – target sequences, with shape <cite>(B, U)</cite> and each element
+<li><p><strong>targets</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – target sequences, with shape <cite>(B, U)</cite> and each element
 mapping to a target symbol, i.e. in range <cite>[0, num_symbols)</cite>.</p></li>
-<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">targets</span></code>.</p></li>
-<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em>) – list of lists of tensors
+<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em>) – list of lists of tensors
 representing internal state generated in preceding invocation
 of <code class="docutils literal notranslate"><span class="pre">predict</span></code>.</p></li>
 </ul>
@@ -636,7 +636,7 @@ <h2>predict<a class="headerlink" href="#predict" title="Permalink to this headin
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>]])</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>]])</p>
 </dd>
 </dl>
 </dd></dl>
@@ -648,7 +648,7 @@ <h2>join<a class="headerlink" href="#join" title="Permalink to this heading">¶<
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNT.join">
-<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">join</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">source_encodings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_encodings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.join"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.join" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNT.</span></span><span class="sig-name descname"><span class="pre">join</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">source_encodings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_encodings</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt.html#RNNT.join"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNT.join" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies joint network to source and target encodings.</p>
 <p>B: batch size;
 T: maximum source sequence length in batch;
@@ -657,12 +657,12 @@ <h2>join<a class="headerlink" href="#join" title="Permalink to this heading">¶<
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>source_encodings</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – source encoding sequences, with
+<li><p><strong>source_encodings</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – source encoding sequences, with
 shape <cite>(B, T, D)</cite>.</p></li>
-<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>source_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 valid sequence length of i-th batch element in <code class="docutils literal notranslate"><span class="pre">source_encodings</span></code>.</p></li>
-<li><p><strong>target_encodings</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – target encoding sequences, with shape <cite>(B, U, D)</cite>.</p></li>
-<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>target_encodings</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – target encoding sequences, with shape <cite>(B, U, D)</cite>.</p></li>
+<li><p><strong>target_lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 valid sequence length of i-th batch element in <code class="docutils literal notranslate"><span class="pre">target_encodings</span></code>.</p></li>
 </ul>
 </dd>
@@ -680,7 +680,7 @@ <h2>join<a class="headerlink" href="#join" title="Permalink to this heading">¶<
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.models.RNNTBeamSearch.html b/main/generated/torchaudio.models.RNNTBeamSearch.html
index 2f9a74aa04..43de6397bd 100644
--- a/main/generated/torchaudio.models.RNNTBeamSearch.html
+++ b/main/generated/torchaudio.models.RNNTBeamSearch.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTBeamSearch &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>RNNTBeamSearch &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>RNNTBeamSearch<a class="headerlink" href="#rnntbeamsearch" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.models.RNNTBeamSearch">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">RNNTBeamSearch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torchaudio.models.RNNT.html#torchaudio.models.RNNT" title="torchaudio.models.rnnt.RNNT"><span class="pre">RNNT</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">temperature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hypo_sort_key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.13)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step_max_tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">RNNTBeamSearch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torchaudio.models.RNNT.html#torchaudio.models.RNNT" title="torchaudio.models.rnnt.RNNT"><span class="pre">RNNT</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">blank</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">temperature</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hypo_sort_key</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.13)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step_max_tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch" title="Permalink to this definition">¶</a></dt>
 <dd><p>Beam search decoder for RNN-T model.</p>
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
@@ -481,15 +481,15 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNTBeamSearch.forward">
-<span class="sig-prename descclassname"><span class="pre">RNNTBeamSearch.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beam_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNTBeamSearch.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beam_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Performs beam search for the given input sequence.</p>
 <p>T: number of frames;
 D: feature dimension of each frame.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – sequence of input frames, with shape (T, D) or (1, T, D).</p></li>
-<li><p><strong>length</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – number of valid frames in input
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – sequence of input frames, with shape (T, D) or (1, T, D).</p></li>
+<li><p><strong>length</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – number of valid frames in input
 sequence, with shape () or (1,).</p></li>
 <li><p><strong>beam_width</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – beam size to use during search.</p></li>
 </ul>
@@ -510,18 +510,18 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.RNNTBeamSearch.infer">
-<span class="sig-prename descclassname"><span class="pre">RNNTBeamSearch.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beam_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hypothesis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">RNNTBeamSearch.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beam_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hypothesis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/rnnt_decoder.html#RNNTBeamSearch.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.RNNTBeamSearch.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Performs beam search for the given input sequence in streaming mode.</p>
 <p>T: number of frames;
 D: feature dimension of each frame.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – sequence of input frames, with shape (T, D) or (1, T, D).</p></li>
-<li><p><strong>length</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – number of valid frames in input
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – sequence of input frames, with shape (T, D) or (1, T, D).</p></li>
+<li><p><strong>length</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – number of valid frames in input
 sequence, with shape () or (1,).</p></li>
 <li><p><strong>beam_width</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – beam size to use during search.</p></li>
-<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
+<li><p><strong>state</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
 representing transcription network internal state generated in preceding
 invocation. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 <li><p><strong>hypothesis</strong> (<em>List</em><em>[</em><em>Hypothesis</em><em>] or </em><em>None</em>) – hypotheses from preceding invocation to seed
@@ -539,7 +539,7 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(List[Hypothesis], List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>]])</p>
+<dd class="field-odd"><p>(List[Hypothesis], List[List[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>]])</p>
 </dd>
 </dl>
 </dd></dl>
@@ -557,7 +557,7 @@ <h2>Hypothesis<a class="headerlink" href="#hypothesis" title="Permalink to this
 <span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">Hypothesis</span></span><a class="headerlink" href="#torchaudio.models.Hypothesis" title="Permalink to this definition">¶</a></dt>
 <dd><p>Hypothesis generated by RNN-T beam search decoder,
 represented as tuple of (tokens, prediction network output, prediction network state, score).</p>
-<p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">Tuple</span></code>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code></a>], <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>]], <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code></a>]</p>
+<p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">Tuple</span></code>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code></a>], <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>, <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code></a>[<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>]], <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code></a>]</p>
 </dd></dl>
 
 </div>
diff --git a/main/generated/torchaudio.models.SquimObjective.html b/main/generated/torchaudio.models.SquimObjective.html
index b999abeb7b..94464657c4 100644
--- a/main/generated/torchaudio.models.SquimObjective.html
+++ b/main/generated/torchaudio.models.SquimObjective.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SquimObjective &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SquimObjective &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,15 +440,15 @@
 <h1>SquimObjective<a class="headerlink" href="#squimobjective" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.models.SquimObjective">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">SquimObjective</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">encoder</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">dprnn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">branches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.ModuleList.html#torch.nn.ModuleList" title="(in PyTorch v2.4)"><span class="pre">ModuleList</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/objective.html#SquimObjective"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimObjective" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">SquimObjective</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">encoder</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">dprnn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">branches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.ModuleList.html#torch.nn.ModuleList" title="(in PyTorch v2.5)"><span class="pre">ModuleList</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/objective.html#SquimObjective"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimObjective" title="Permalink to this definition">¶</a></dt>
 <dd><p>Speech Quality and Intelligibility Measures (SQUIM) model that predicts <strong>objective</strong> metric scores
 for speech enhancement (e.g., STOI, PESQ, and SI-SDR).</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>encoder</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – Encoder module to transform 1D waveform to 2D feature representation.</p></li>
-<li><p><strong>dprnn</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – DPRNN module to model sequential feature.</p></li>
-<li><p><strong>branches</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.ModuleList.html#torch.nn.ModuleList" title="(in PyTorch v2.4)"><em>torch.nn.ModuleList</em></a>) – Transformer branches in which each branch estimate one objective metirc score.</p></li>
+<li><p><strong>encoder</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – Encoder module to transform 1D waveform to 2D feature representation.</p></li>
+<li><p><strong>dprnn</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – DPRNN module to model sequential feature.</p></li>
+<li><p><strong>branches</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.ModuleList.html#torch.nn.ModuleList" title="(in PyTorch v2.5)"><em>torch.nn.ModuleList</em></a>) – Transformer branches in which each branch estimate one objective metirc score.</p></li>
 </ul>
 </dd>
 </dl>
@@ -468,16 +468,16 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.SquimObjective.forward">
-<span class="sig-prename descclassname"><span class="pre">SquimObjective.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/squim/objective.html#SquimObjective.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimObjective.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SquimObjective.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/squim/objective.html#SquimObjective.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimObjective.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Input waveforms. Tensor with dimensions <cite>(batch, time)</cite>.</p>
+<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Input waveforms. Tensor with dimensions <cite>(batch, time)</cite>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>List of score Tenosrs. Each Tensor is with dimension <cite>(batch,)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>List(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>List(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.models.SquimSubjective.html b/main/generated/torchaudio.models.SquimSubjective.html
index 9df9d1d7b0..7c305fd9f2 100644
--- a/main/generated/torchaudio.models.SquimSubjective.html
+++ b/main/generated/torchaudio.models.SquimSubjective.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SquimSubjective &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SquimSubjective &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,16 +440,16 @@
 <h1>SquimSubjective<a class="headerlink" href="#squimsubjective" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.models.SquimSubjective">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">SquimSubjective</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ssl_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">projector</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/subjective.html#SquimSubjective"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimSubjective" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">SquimSubjective</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ssl_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">projector</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/subjective.html#SquimSubjective"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimSubjective" title="Permalink to this definition">¶</a></dt>
 <dd><p>Speech Quality and Intelligibility Measures (SQUIM) model that predicts <strong>subjective</strong> metric scores
 for speech enhancement (e.g., Mean Opinion Score (MOS)). The model is adopted from <em>NORESQA-MOS</em>
 <span id="id1">[<a class="reference internal" href="../references.html#id66" title="Pranay Manocha and Anurag Kumar. Speech quality assessment through mos using non-matching references. arXiv preprint arXiv:2206.12285, 2022.">Manocha and Kumar, 2022</a>]</span> which predicts MOS scores given the input speech and a non-matching reference.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>ssl_model</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – The self-supervised learning model for feature extraction.</p></li>
-<li><p><strong>projector</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – Projection layer that projects SSL feature to a lower dimension.</p></li>
-<li><p><strong>predictor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – Predict the subjective scores.</p></li>
+<li><p><strong>ssl_model</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – The self-supervised learning model for feature extraction.</p></li>
+<li><p><strong>projector</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – Projection layer that projects SSL feature to a lower dimension.</p></li>
+<li><p><strong>predictor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – Predict the subjective scores.</p></li>
 </ul>
 </dd>
 </dl>
@@ -469,20 +469,20 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.SquimSubjective.forward">
-<span class="sig-prename descclassname"><span class="pre">SquimSubjective.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/subjective.html#SquimSubjective.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimSubjective.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SquimSubjective.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/squim/subjective.html#SquimSubjective.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.SquimSubjective.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Predict subjective evaluation metric score.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Input waveform for evaluation. Tensor with dimensions <cite>(batch, time)</cite>.</p></li>
-<li><p><strong>reference</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Non-matching clean reference. Tensor with dimensions <cite>(batch, time_ref)</cite>.</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Input waveform for evaluation. Tensor with dimensions <cite>(batch, time)</cite>.</p></li>
+<li><p><strong>reference</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Non-matching clean reference. Tensor with dimensions <cite>(batch, time_ref)</cite>.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Subjective metric score. Tensor with dimensions <cite>(batch,)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.models.Tacotron2.html b/main/generated/torchaudio.models.Tacotron2.html
index 6cc9262c2a..f770ab7cf7 100644
--- a/main/generated/torchaudio.models.Tacotron2.html
+++ b/main/generated/torchaudio.models.Tacotron2.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Tacotron2 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Tacotron2 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -494,7 +494,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Tacotron2.forward">
-<span class="sig-prename descclassname"><span class="pre">Tacotron2.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">token_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_specgram_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/tacotron2.html#Tacotron2.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Tacotron2.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Tacotron2.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">token_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mel_specgram_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/tacotron2.html#Tacotron2.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Tacotron2.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Pass the input through the Tacotron2 model. This is in teacher
 forcing mode, which is generally used for training.</p>
 <p>The input <code class="docutils literal notranslate"><span class="pre">tokens</span></code> should be padded with zeros to length max of <code class="docutils literal notranslate"><span class="pre">token_lengths</span></code>.
@@ -536,7 +536,7 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Tacotron2.infer">
-<span class="sig-prename descclassname"><span class="pre">Tacotron2.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/tacotron2.html#Tacotron2.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Tacotron2.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Tacotron2.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/tacotron2.html#Tacotron2.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Tacotron2.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Using Tacotron2 for inference. The input is a batch of encoded
 sentences (<code class="docutils literal notranslate"><span class="pre">tokens</span></code>) and its corresponding lengths (<code class="docutils literal notranslate"><span class="pre">lengths</span></code>). The
 output is the generated mel spectrograms, its corresponding lengths, and
diff --git a/main/generated/torchaudio.models.Wav2Letter.html b/main/generated/torchaudio.models.Wav2Letter.html
index 7f10ff8993..83e84e52f0 100644
--- a/main/generated/torchaudio.models.Wav2Letter.html
+++ b/main/generated/torchaudio.models.Wav2Letter.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Letter &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Wav2Letter &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -469,10 +469,10 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Wav2Letter.forward">
-<span class="sig-prename descclassname"><span class="pre">Wav2Letter.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2letter.html#Wav2Letter.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Letter.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Letter.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2letter.html#Wav2Letter.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Letter.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Tensor of dimension (batch_size, num_features, input_length).</p>
+<dd class="field-odd"><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Tensor of dimension (batch_size, num_features, input_length).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Predictor tensor of dimension (batch_size, number_of_classes, input_length).</p>
diff --git a/main/generated/torchaudio.models.Wav2Vec2Model.html b/main/generated/torchaudio.models.Wav2Vec2Model.html
index 8053e2f854..d7c558ebcc 100644
--- a/main/generated/torchaudio.models.Wav2Vec2Model.html
+++ b/main/generated/torchaudio.models.Wav2Vec2Model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2Model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Wav2Vec2Model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>Wav2Vec2Model<a class="headerlink" href="#wav2vec2model" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.models.Wav2Vec2Model">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">Wav2Vec2Model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature_extractor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoder</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">aux</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.models.</span></span><span class="sig-name descname"><span class="pre">Wav2Vec2Model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feature_extractor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoder</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">aux</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Acoustic model used in <em>wav2vec 2.0</em> <span id="id1">[<a class="reference internal" href="../references.html#id15" title="Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli. Wav2vec 2.0: a framework for self-supervised learning of speech representations. 2020. arXiv:2006.11477.">Baevski <em>et al.</em>, 2020</a>]</span>.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -456,10 +456,10 @@ <h1>Wav2Vec2Model<a class="headerlink" href="#wav2vec2model" title="Permalink to
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>feature_extractor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – Feature extractor that extracts feature vectors from raw audio Tensor.</p></li>
-<li><p><strong>encoder</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – Encoder that converts the audio features into the sequence of probability
+<li><p><strong>feature_extractor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – Feature extractor that extracts feature vectors from raw audio Tensor.</p></li>
+<li><p><strong>encoder</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – Encoder that converts the audio features into the sequence of probability
 distribution (in negative log-likelihood) over labels.</p></li>
-<li><p><strong>aux</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Auxiliary module. If provided, the output from encoder is passed to this module.</p></li>
+<li><p><strong>aux</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Auxiliary module. If provided, the output from encoder is passed to this module.</p></li>
 </ul>
 </dd>
 </dl>
@@ -485,7 +485,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Wav2Vec2Model.forward">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Model.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Model.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute the sequence of probability distribution over labels.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -526,7 +526,7 @@ <h2>extract_features<a class="headerlink" href="#extract-features" title="Permal
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.Wav2Vec2Model.extract_features">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Model.</span></span><span class="sig-name descname"><span class="pre">extract_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model.extract_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model.extract_features" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Model.</span></span><span class="sig-name descname"><span class="pre">extract_features</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveforms</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/model.html#Wav2Vec2Model.extract_features"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.Wav2Vec2Model.extract_features" title="Permalink to this definition">¶</a></dt>
 <dd><p>Extract feature vectors from raw waveforms</p>
 <p>This returns the list of outputs from the intermediate layers of
 transformer block in encoder.</p>
diff --git a/main/generated/torchaudio.models.WaveRNN.html b/main/generated/torchaudio.models.WaveRNN.html
index 84e17bfbfc..76ae818a0e 100644
--- a/main/generated/torchaudio.models.WaveRNN.html
+++ b/main/generated/torchaudio.models.WaveRNN.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WaveRNN &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WaveRNN &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -494,7 +494,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.WaveRNN.forward">
-<span class="sig-prename descclassname"><span class="pre">WaveRNN.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wavernn.html#WaveRNN.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.WaveRNN.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">WaveRNN.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wavernn.html#WaveRNN.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.WaveRNN.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Pass the input through the WaveRNN model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -519,7 +519,7 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.WaveRNN.infer">
-<span class="sig-prename descclassname"><span class="pre">WaveRNN.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wavernn.html#WaveRNN.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.WaveRNN.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">WaveRNN.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/wavernn.html#WaveRNN.infer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.WaveRNN.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Inference method of WaveRNN.</p>
 <p>This function currently only supports multinomial sampling, which assumes the
 network is trained on cross entropy loss.</p>
diff --git a/main/generated/torchaudio.models.conv_tasnet_base.html b/main/generated/torchaudio.models.conv_tasnet_base.html
index 2d399d3f15..b251c92824 100644
--- a/main/generated/torchaudio.models.conv_tasnet_base.html
+++ b/main/generated/torchaudio.models.conv_tasnet_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.conv_tasnet_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.conv_tasnet_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.decoder.CTCDecoder.html b/main/generated/torchaudio.models.decoder.CTCDecoder.html
index a1e47b053e..176341e061 100644
--- a/main/generated/torchaudio.models.decoder.CTCDecoder.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CTCDecoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>CTCDecoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -463,7 +463,7 @@ <h2>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.decoder.CTCDecoder.__call__">
-<span class="sig-prename descclassname"><span class="pre">CTCDecoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emissions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">FloatTensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#torchaudio.models.decoder.CTCHypothesis" title="torchaudio.models.decoder._ctc_decoder.CTCHypothesis"><span class="pre">CTCHypothesis</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/decoder/_ctc_decoder.html#CTCDecoder.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.decoder.CTCDecoder.__call__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CTCDecoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emissions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">FloatTensor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#torchaudio.models.decoder.CTCHypothesis" title="torchaudio.models.decoder._ctc_decoder.CTCHypothesis"><span class="pre">CTCHypothesis</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/models/decoder/_ctc_decoder.html#CTCDecoder.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.decoder.CTCDecoder.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Performs batched offline decoding.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
diff --git a/main/generated/torchaudio.models.decoder.CUCTCDecoder.html b/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
index 9963210865..972abed3be 100644
--- a/main/generated/torchaudio.models.decoder.CUCTCDecoder.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CUCTCDecoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>CUCTCDecoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -463,7 +463,7 @@ <h2>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.models.decoder.CUCTCDecoder.__call__">
-<span class="sig-prename descclassname"><span class="pre">CUCTCDecoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">log_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoder_out_lens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/decoder/_cuda_ctc_decoder.html#CUCTCDecoder.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.decoder.CUCTCDecoder.__call__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">CUCTCDecoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">log_prob</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoder_out_lens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/models/decoder/_cuda_ctc_decoder.html#CUCTCDecoder.__call__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.decoder.CUCTCDecoder.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.models.decoder.ctc_decoder.html b/main/generated/torchaudio.models.decoder.ctc_decoder.html
index aee31c218c..abccb3c02c 100644
--- a/main/generated/torchaudio.models.decoder.ctc_decoder.html
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-  <title>ctc_decoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
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index 42b03ca027..c27e842262 100644
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-  <title>cuda_ctc_decoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.decoder.download_pretrained_files.html b/main/generated/torchaudio.models.decoder.download_pretrained_files.html
index 16bd01bd9c..428d5f147d 100644
--- a/main/generated/torchaudio.models.decoder.download_pretrained_files.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>download_pretrained_files &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>download_pretrained_files &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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index 3067ebeba0..169e53a9f6 100644
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-  <title>torchaudio.models.emformer_rnnt_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.emformer_rnnt_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.emformer_rnnt_model.html b/main/generated/torchaudio.models.emformer_rnnt_model.html
index 5f7dc3a517..0c024f5a79 100644
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+  <title>torchaudio.models.emformer_rnnt_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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index fb69eea770..8f72622560 100644
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-  <title>torchaudio.models.hdemucs_high &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.hdemucs_high &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hdemucs_low.html b/main/generated/torchaudio.models.hdemucs_low.html
index 08d1d97e3b..0242787be9 100644
--- a/main/generated/torchaudio.models.hdemucs_low.html
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+  <title>torchaudio.models.hdemucs_low &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hdemucs_medium.html b/main/generated/torchaudio.models.hdemucs_medium.html
index 4ce64c5ae5..8396750d3b 100644
--- a/main/generated/torchaudio.models.hdemucs_medium.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.hdemucs_medium &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.hdemucs_medium &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hubert_base.html b/main/generated/torchaudio.models.hubert_base.html
index 1a39f9dd27..f42e9fe3c0 100644
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-  <title>torchaudio.models.hubert_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.hubert_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hubert_large.html b/main/generated/torchaudio.models.hubert_large.html
index c6ca9c510d..17c18f7c4f 100644
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-  <title>torchaudio.models.hubert_large &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hubert_pretrain_base.html b/main/generated/torchaudio.models.hubert_pretrain_base.html
index 78c72b6a4e..9786726232 100644
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-  <title>torchaudio.models.hubert_pretrain_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.hubert_pretrain_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hubert_pretrain_large.html b/main/generated/torchaudio.models.hubert_pretrain_large.html
index a703a90997..7a1676eff8 100644
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@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.models.hubert_pretrain_large &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.hubert_pretrain_large &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.hubert_pretrain_model.html b/main/generated/torchaudio.models.hubert_pretrain_model.html
index afd8bcd246..682799501a 100644
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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index 62062f7dd0..72c6d15303 100644
--- a/main/generated/torchaudio.models.hubert_pretrain_xlarge.html
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@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.models.hubert_pretrain_xlarge &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.hubert_pretrain_xlarge &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.hubert_xlarge.html b/main/generated/torchaudio.models.hubert_xlarge.html
index 9bd3942073..55dc44362f 100644
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@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.models.hubert_xlarge &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.hubert_xlarge &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.squim_objective_base.html b/main/generated/torchaudio.models.squim_objective_base.html
index 5dcc2e69d2..64c8782917 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.squim_objective_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.squim_objective_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.squim_objective_model.html b/main/generated/torchaudio.models.squim_objective_model.html
index 49bc1675f0..cf5a2bc08a 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.squim_objective_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.squim_objective_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.squim_subjective_base.html b/main/generated/torchaudio.models.squim_subjective_base.html
index f86e45cd09..3e2e05397f 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.squim_subjective_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.squim_subjective_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.squim_subjective_model.html b/main/generated/torchaudio.models.squim_subjective_model.html
index 2eed3639b1..ca7d1be38d 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.squim_subjective_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.squim_subjective_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html b/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
index e277a6a00b..f2cabb8c1b 100644
--- a/main/generated/torchaudio.models.wav2vec2.utils.import_fairseq_model.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2.utils.import_fairseq_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2.utils.import_fairseq_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -442,12 +442,12 @@
 <h1>torchaudio.models.wav2vec2.utils.import_fairseq_model<a class="headerlink" href="#torchaudio-models-wav2vec2-utils-import-fairseq-model" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.models.wav2vec2.utils.import_fairseq_model">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.models.wav2vec2.utils.</span></span><span class="sig-name descname"><span class="pre">import_fairseq_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">original</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/utils/import_fairseq.html#import_fairseq_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.wav2vec2.utils.import_fairseq_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.models.wav2vec2.utils.</span></span><span class="sig-name descname"><span class="pre">import_fairseq_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">original</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/utils/import_fairseq.html#import_fairseq_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.wav2vec2.utils.import_fairseq_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Builds <code class="xref py py-class docutils literal notranslate"><span class="pre">Wav2Vec2Model</span></code> from the corresponding model object of
 <a class="reference external" href="https://github.com/pytorch/fairseq">fairseq</a>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>original</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – An instance of fairseq’s Wav2Vec2.0 or HuBERT model.
+<dd class="field-odd"><p><strong>original</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – An instance of fairseq’s Wav2Vec2.0 or HuBERT model.
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diff --git a/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html b/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
index 8998b6bcee..94da77163e 100644
--- a/main/generated/torchaudio.models.wav2vec2.utils.import_huggingface_model.html
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2.utils.import_huggingface_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2.utils.import_huggingface_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -442,12 +442,12 @@
 <h1>torchaudio.models.wav2vec2.utils.import_huggingface_model<a class="headerlink" href="#torchaudio-models-wav2vec2-utils-import-huggingface-model" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.models.wav2vec2.utils.import_huggingface_model">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.models.wav2vec2.utils.</span></span><span class="sig-name descname"><span class="pre">import_huggingface_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">original</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/utils/import_huggingface.html#import_huggingface_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.wav2vec2.utils.import_huggingface_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.models.wav2vec2.utils.</span></span><span class="sig-name descname"><span class="pre">import_huggingface_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">original</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/models/wav2vec2/utils/import_huggingface.html#import_huggingface_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.models.wav2vec2.utils.import_huggingface_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Builds <code class="xref py py-class docutils literal notranslate"><span class="pre">Wav2Vec2Model</span></code> from the corresponding model object of
 <a class="reference external" href="https://huggingface.co/transformers/">Transformers</a>.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>original</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><em>torch.nn.Module</em></a>) – An instance of <code class="docutils literal notranslate"><span class="pre">Wav2Vec2ForCTC</span></code> from <code class="docutils literal notranslate"><span class="pre">transformers</span></code>.</p>
+<dd class="field-odd"><p><strong>original</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><em>torch.nn.Module</em></a>) – An instance of <code class="docutils literal notranslate"><span class="pre">Wav2Vec2ForCTC</span></code> from <code class="docutils literal notranslate"><span class="pre">transformers</span></code>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Imported model.</p>
diff --git a/main/generated/torchaudio.models.wav2vec2_base.html b/main/generated/torchaudio.models.wav2vec2_base.html
index cf33a7ca7d..87b985296f 100644
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-  <title>torchaudio.models.wav2vec2_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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index 30665c1c98..068feaeaef 100644
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-  <title>torchaudio.models.wav2vec2_large &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2_large &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.wav2vec2_large_lv60k.html b/main/generated/torchaudio.models.wav2vec2_large_lv60k.html
index 79a6ca3177..a98f4b1e29 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_large_lv60k &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2_large_lv60k &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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index 1a9293a09d..00551d5418 100644
--- a/main/generated/torchaudio.models.wav2vec2_model.html
+++ b/main/generated/torchaudio.models.wav2vec2_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html b/main/generated/torchaudio.models.wav2vec2_xlsr_1b.html
index 9e1ce97b65..a56f9fbfca 100644
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_xlsr_1b &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2_xlsr_1b &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html b/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
index 16ae968fe0..0a3aee715a 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_2b.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_xlsr_2b &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2_xlsr_2b &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html b/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
index a743a242f6..064bcf87f5 100644
--- a/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
+++ b/main/generated/torchaudio.models.wav2vec2_xlsr_300m.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wav2vec2_xlsr_300m &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wav2vec2_xlsr_300m &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.models.wavlm_base.html b/main/generated/torchaudio.models.wavlm_base.html
index dff6f53f79..7ad08ed18d 100644
--- a/main/generated/torchaudio.models.wavlm_base.html
+++ b/main/generated/torchaudio.models.wavlm_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wavlm_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wavlm_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.wavlm_large.html b/main/generated/torchaudio.models.wavlm_large.html
index 4064e93733..2bef268176 100644
--- a/main/generated/torchaudio.models.wavlm_large.html
+++ b/main/generated/torchaudio.models.wavlm_large.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wavlm_large &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wavlm_large &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.models.wavlm_model.html b/main/generated/torchaudio.models.wavlm_model.html
index 2c1b6d5977..7b0c549f11 100644
--- a/main/generated/torchaudio.models.wavlm_model.html
+++ b/main/generated/torchaudio.models.wavlm_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.models.wavlm_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.models.wavlm_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html b/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
index ec66c7faed..1893faf5db 100644
--- a/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
+++ b/main/generated/torchaudio.pipelines.CONVTASNET_BASE_LIBRI2MIX.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CONVTASNET_BASE_LIBRI2MIX &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>CONVTASNET_BASE_LIBRI2MIX &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html b/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
index 8377d3132f..876efdef0a 100644
--- a/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
+++ b/main/generated/torchaudio.pipelines.EMFORMER_RNNT_BASE_LIBRISPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>EMFORMER_RNNT_BASE_LIBRISPEECH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>EMFORMER_RNNT_BASE_LIBRISPEECH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
index d6dac32fa9..605b611079 100644
--- a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
+++ b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HDEMUCS_HIGH_MUSDB &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HDEMUCS_HIGH_MUSDB &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
index 3038828054..86ba775dd9 100644
--- a/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
+++ b/main/generated/torchaudio.pipelines.HDEMUCS_HIGH_MUSDB_PLUS.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HDEMUCS_HIGH_MUSDB_PLUS &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HDEMUCS_HIGH_MUSDB_PLUS &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html b/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
index 759c656c69..f6a3ef57de 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_ASR_LARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_ASR_LARGE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HUBERT_ASR_LARGE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html b/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
index b2caf4b10a..80bb353ec8 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_ASR_XLARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_ASR_XLARGE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HUBERT_ASR_XLARGE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_BASE.html b/main/generated/torchaudio.pipelines.HUBERT_BASE.html
index da62a2469a..a522a348ea 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_BASE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_BASE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_BASE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HUBERT_BASE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.HUBERT_LARGE.html b/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
index d740dd38ce..7752fc8ee6 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_LARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_LARGE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HUBERT_LARGE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html b/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
index 1c64dc390b..6a1844f1e2 100644
--- a/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
+++ b/main/generated/torchaudio.pipelines.HUBERT_XLARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HUBERT_XLARGE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HUBERT_XLARGE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.MMS_FA.html b/main/generated/torchaudio.pipelines.MMS_FA.html
index f6da60972f..d7354115d3 100644
--- a/main/generated/torchaudio.pipelines.MMS_FA.html
+++ b/main/generated/torchaudio.pipelines.MMS_FA.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MMS_FA &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>MMS_FA &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html b/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
index 4af7e503c8..bf804b7d46 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.FeatureExtractor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTBundle.FeatureExtractor &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>RNNTBundle.FeatureExtractor &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -451,11 +451,11 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.RNNTBundle.FeatureExtractor.__call__">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FeatureExtractor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.RNNTBundle.FeatureExtractor.__call__" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FeatureExtractor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.RNNTBundle.FeatureExtractor.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Generates features and length output from the given input tensor.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – input tensor.</p>
+<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – input tensor.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><dl class="simple">
@@ -467,7 +467,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html b/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
index b345bfb0d8..70b118f3cf 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.TokenProcessor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTBundle.TokenProcessor &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>RNNTBundle.TokenProcessor &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.RNNTBundle.html b/main/generated/torchaudio.pipelines.RNNTBundle.html
index 3428705001..2f426f4091 100644
--- a/main/generated/torchaudio.pipelines.RNNTBundle.html
+++ b/main/generated/torchaudio.pipelines.RNNTBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTBundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>RNNTBundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html b/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
index 2cfe272ee5..ee9a5fa6ac 100644
--- a/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
+++ b/main/generated/torchaudio.pipelines.SQUIM_OBJECTIVE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SQUIM_OBJECTIVE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SQUIM_OBJECTIVE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html b/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
index ef12518c92..e9d1b2db13 100644
--- a/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
+++ b/main/generated/torchaudio.pipelines.SQUIM_SUBJECTIVE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SQUIM_SUBJECTIVE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SQUIM_SUBJECTIVE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.SourceSeparationBundle.html b/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
index e94e741f57..4ebb90d55e 100644
--- a/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
+++ b/main/generated/torchaudio.pipelines.SourceSeparationBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SourceSeparationBundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SourceSeparationBundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -501,7 +501,7 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.SourceSeparationBundle.get_model">
-<span class="sig-prename descclassname"><span class="pre">SourceSeparationBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_source_separation_pipeline.html#SourceSeparationBundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.SourceSeparationBundle.get_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">SourceSeparationBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_source_separation_pipeline.html#SourceSeparationBundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.SourceSeparationBundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the model and load the pretrained weight.</p>
 </dd></dl>
 
diff --git a/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html b/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
index 4868c7d0e8..1849cc7737 100644
--- a/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
+++ b/main/generated/torchaudio.pipelines.SquimObjectiveBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SquimObjectiveBundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SquimObjectiveBundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html b/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
index 48327c6e90..2d5ba294a2 100644
--- a/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
+++ b/main/generated/torchaudio.pipelines.SquimSubjectiveBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SquimSubjectiveBundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SquimSubjectiveBundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
index aac320c01e..6e52ccfca1 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>TACOTRON2_GRIFFINLIM_CHAR_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
index 7abb77da1e..d8a416be4f 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>TACOTRON2_GRIFFINLIM_PHONE_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
index 20f2234aab..ee1091f369 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_CHAR_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TACOTRON2_WAVERNN_CHAR_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>TACOTRON2_WAVERNN_CHAR_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
index 504ee60605..e9391e2b40 100644
--- a/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
+++ b/main/generated/torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TACOTRON2_WAVERNN_PHONE_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>TACOTRON2_WAVERNN_PHONE_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
index 133c655c9c..13850f31db 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Tacotron2TTSBundle.TextProcessor &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Tacotron2TTSBundle.TextProcessor &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -471,7 +471,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.__call__">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">TextProcessor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">texts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.__call__" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">TextProcessor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">texts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.TextProcessor.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Encode the given (batch of) texts into numerical tensors</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
index 873f904663..9d7460ec8b 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Tacotron2TTSBundle.Vocoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Tacotron2TTSBundle.Vocoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -471,7 +471,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.__call__">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Vocoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.__call__" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Vocoder.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Generate waveform from the given input, such as spectrogram</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
index 5d52b6b4dc..a98af4087d 100644
--- a/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
+++ b/main/generated/torchaudio.pipelines.Tacotron2TTSBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Tacotron2TTSBundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Tacotron2TTSBundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -532,7 +532,7 @@ <h3>get_tacotron2<a class="headerlink" href="#get-tacotron2" title="Permalink to
 <dd><p>Create a Tacotron2 model with pre-trained weight.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>The resulting model.</p>
@@ -556,10 +556,10 @@ <h3>get_text_processor<a class="headerlink" href="#get-text-processor" title="Pe
 For phoneme-based pipeline, this processor converts the input text (grapheme) to
 phonemes.</p>
 <p>If a pre-trained weight file is necessary,
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.download_url_to_file" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.download_url_to_file()</span></code></a> is used to downloaded it.</p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.download_url_to_file" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.download_url_to_file()</span></code></a> is used to downloaded it.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em><em>,</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.download_url_to_file" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.download_url_to_file()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em><em>,</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.download_url_to_file" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.download_url_to_file()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>A callable which takes a string or a list of strings as input and
@@ -633,10 +633,10 @@ <h3>get_vocoder<a class="headerlink" href="#get-vocoder" title="Permalink to thi
 <em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Tacotron2TTSBundle.</span></span><span class="sig-name descname"><span class="pre">get_vocoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.pipelines.Tacotron2TTSBundle.Vocoder.html#torchaudio.pipelines.Tacotron2TTSBundle.Vocoder" title="torchaudio.pipelines._tts.interface.Tacotron2TTSBundle.Vocoder"><span class="pre">Vocoder</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_tts/interface.html#Tacotron2TTSBundle.get_vocoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Tacotron2TTSBundle.get_vocoder" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a vocoder module, based off of either WaveRNN or GriffinLim.</p>
 <p>If a pre-trained weight file is necessary,
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a> is used to downloaded it.</p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a> is used to downloaded it.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>A vocoder module, which takes spectrogram Tensor and an optional
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
index 58081a6bec..b9c109093a 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_DE.html
@@ -10,7 +10,7 @@
 
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-  <title>VOXPOPULI_ASR_BASE_10K_DE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_DE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
index 4b3fd0c34c..6954c615cf 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_EN.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VOXPOPULI_ASR_BASE_10K_EN &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_EN &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
index 95ba5cdd4b..363d25c7ff 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_ES.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VOXPOPULI_ASR_BASE_10K_ES &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_ES &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
index b926f1680c..4566678c52 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_FR.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VOXPOPULI_ASR_BASE_10K_FR &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_FR &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
index 3f87973494..347efd6834 100644
--- a/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
+++ b/main/generated/torchaudio.pipelines.VOXPOPULI_ASR_BASE_10K_IT.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VOXPOPULI_ASR_BASE_10K_IT &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VOXPOPULI_ASR_BASE_10K_IT &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
index df5899cae2..8ceb1f5a14 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_100H.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_BASE_100H &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_ASR_BASE_100H &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
index c76e84e17c..d42f649f69 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_10M.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_BASE_10M &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_ASR_BASE_10M &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
index a6f8ae149a..f9a6777a2c 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_BASE_960H.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_BASE_960H &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_ASR_BASE_960H &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
index 49e9cd4ddd..8752c5ea5c 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_100H.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_LARGE_100H &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_ASR_LARGE_100H &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
index abb5e4532b..445edf380e 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_10M.html
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@@ -10,7 +10,7 @@
 
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-  <title>WAV2VEC2_ASR_LARGE_10M &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_ASR_LARGE_10M &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_960H.html
index 9ed7af7be4..35dae96134 100644
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@@ -10,7 +10,7 @@
 
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-  <title>WAV2VEC2_ASR_LARGE_960H &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
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@@ -224,7 +224,7 @@
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
index c61ba2d5a3..3d9f79425d 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_100H.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_LARGE_LV60K_100H &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_ASR_LARGE_LV60K_100H &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
index f747cd5c08..f3f6ea12db 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_10M.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_LARGE_LV60K_10M &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_ASR_LARGE_LV60K_10M &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
index 19f7bd4043..c0cfb331bb 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_ASR_LARGE_LV60K_960H.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_ASR_LARGE_LV60K_960H &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_ASR_LARGE_LV60K_960H &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html b/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
index 53bcbb5e28..7a0daad63c 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_BASE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_BASE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_BASE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
index d45163d8c3..3d8437461e 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_LARGE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_LARGE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
index 6bf1d8f623..5d0ce15701 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_LARGE_LV60K.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_LARGE_LV60K &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_LARGE_LV60K &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
index 39f1440597..744577a27d 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR53.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_XLSR53 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_XLSR53 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
index 27dce79906..594874fb02 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_1B.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_XLSR_1B &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_XLSR_1B &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
index 35c0b3cb16..a4ab8ab50f 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_2B.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_XLSR_2B &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_XLSR_2B &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
index 7c1e3bd021..744facd9e2 100644
--- a/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
+++ b/main/generated/torchaudio.pipelines.WAV2VEC2_XLSR_300M.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAV2VEC2_XLSR_300M &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAV2VEC2_XLSR_300M &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.pipelines.WAVLM_BASE.html b/main/generated/torchaudio.pipelines.WAVLM_BASE.html
index af2fe7f5db..f4c0235846 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_BASE.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_BASE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAVLM_BASE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAVLM_BASE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html b/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
index 482260f644..3faf50e4f8 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_BASE_PLUS.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAVLM_BASE_PLUS &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAVLM_BASE_PLUS &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.WAVLM_LARGE.html b/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
index b71b6e9365..d3dedf780b 100644
--- a/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
+++ b/main/generated/torchaudio.pipelines.WAVLM_LARGE.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>WAVLM_LARGE &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>WAVLM_LARGE &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
index 5374340571..e2280ef12c 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2ASRBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2ASRBundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Wav2Vec2ASRBundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -548,13 +548,13 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Wav2Vec2ASRBundle.get_model">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2ASRBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></span><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2ASRBundle.get_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2ASRBundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></span><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2ASRBundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the model and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><p>Variation of <a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.Wav2Vec2Model"><code class="xref py py-class docutils literal notranslate"><span class="pre">Wav2Vec2Model</span></code></a>.</p>
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
index c51d8c122e..3aa27e3de8 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2Bundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2Bundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Wav2Vec2Bundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -496,13 +496,13 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Wav2Vec2Bundle.get_model">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Bundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_wav2vec2/impl.html#Wav2Vec2Bundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2Bundle.get_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2Bundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_wav2vec2/impl.html#Wav2Vec2Bundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2Bundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the model and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p><p>Variation of <a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.Wav2Vec2Model"><code class="xref py py-class docutils literal notranslate"><span class="pre">Wav2Vec2Model</span></code></a>.</p>
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
index 17ebe3d002..ea478a6231 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Aligner.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2FABundle.Aligner &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Wav2Vec2FABundle.Aligner &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -451,7 +451,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Wav2Vec2FABundle.Aligner.__call__">
-<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Aligner.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emission</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torchaudio.functional.TokenSpan.html#torchaudio.functional.TokenSpan" title="torchaudio.functional._alignment.TokenSpan"><span class="pre">TokenSpan</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2FABundle.Aligner.__call__" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">Aligner.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">emission</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">tokens</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torchaudio.functional.TokenSpan.html#torchaudio.functional.TokenSpan" title="torchaudio.functional._alignment.TokenSpan"><span class="pre">TokenSpan</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2FABundle.Aligner.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Generate list of time-stamped token sequences</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
index ab75411e86..349e22b55e 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.Tokenizer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2FABundle.Tokenizer &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Wav2Vec2FABundle.Tokenizer &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
index a97aec74a3..a4ff6818fb 100644
--- a/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
+++ b/main/generated/torchaudio.pipelines.Wav2Vec2FABundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Wav2Vec2FABundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Wav2Vec2FABundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -600,16 +600,16 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.pipelines.Wav2Vec2FABundle.get_model">
-<span class="sig-prename descclassname"><span class="pre">Wav2Vec2FABundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">with_star</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_wav2vec2/impl.html#Wav2Vec2FABundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2FABundle.get_model" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Wav2Vec2FABundle.</span></span><span class="sig-name descname"><span class="pre">get_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">with_star</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/pipelines/_wav2vec2/impl.html#Wav2Vec2FABundle.get_model"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.pipelines.Wav2Vec2FABundle.get_model" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the model and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>with_star</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><em>bool</em></a><em>, </em><em>optional</em>) – If enabled, the last dimension of output layer is
 extended by one, which corresponds to <cite>star</cite> token.</p></li>
-<li><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p></li>
+<li><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p></li>
 </ul>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
@@ -617,7 +617,7 @@ <h3>get_model<a class="headerlink" href="#get-model" title="Permalink to this he
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>The model created with this method returns probability in log-domain,
-(i.e. <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.log_softmax.html#torch.nn.functional.log_softmax" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.log_softmax()</span></code></a> is applied), whereas
+(i.e. <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.log_softmax.html#torch.nn.functional.log_softmax" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.log_softmax()</span></code></a> is applied), whereas
 the other Wav2Vec2 models returns logit.</p>
 </div>
 </p>
diff --git a/main/generated/torchaudio.prototype.datasets.Musan.html b/main/generated/torchaudio.prototype.datasets.Musan.html
index 94c943bb68..b0eb7f4d14 100644
--- a/main/generated/torchaudio.prototype.datasets.Musan.html
+++ b/main/generated/torchaudio.prototype.datasets.Musan.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Musan &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Musan &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -459,7 +459,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.datasets.Musan.__getitem__">
-<span class="sig-prename descclassname"><span class="pre">Musan.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/datasets/musan.html#Musan.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.datasets.Musan.__getitem__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">Musan.</span></span><span class="sig-name descname"><span class="pre">__getitem__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/datasets/musan.html#Musan.__getitem__"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.datasets.Musan.__getitem__" title="Permalink to this definition">¶</a></dt>
 <dd><p>Return the n-th sample in the dataset.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -477,7 +477,7 @@ <h2>__getitem__<a class="headerlink" href="#getitem" title="Permalink to this he
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)">int</a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)">str</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)">int</a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)">str</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.functional.adsr_envelope.html b/main/generated/torchaudio.prototype.functional.adsr_envelope.html
index c4fdbe0d10..1237a9af82 100644
--- a/main/generated/torchaudio.prototype.functional.adsr_envelope.html
+++ b/main/generated/torchaudio.prototype.functional.adsr_envelope.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.adsr_envelope &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.adsr_envelope &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.adsr_envelope<a class="headerlink" href="#torchaudio-prototype-functional-adsr-envelope" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.adsr_envelope">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">adsr_envelope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attack</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sustain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">release</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.4)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.4)"><span class="pre">device</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#adsr_envelope"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.adsr_envelope" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">adsr_envelope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">attack</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sustain</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">release</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_decay</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.5)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">device</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.5)"><span class="pre">device</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#adsr_envelope"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.adsr_envelope" title="Permalink to this definition">¶</a></dt>
 <dd><p>Generate ADSR Envelope</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <dl class="field-list simple">
@@ -467,10 +467,10 @@ <h1>torchaudio.prototype.functional.adsr_envelope<a class="headerlink" href="#to
 <li><p><strong>n_decay</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em>, </em><em>optional</em>) – The degree of polynomial decay. Default: <code class="docutils literal notranslate"><span class="pre">2</span></code>.</p></li>
 <li><p><strong>dtype</strong> (<em>torch.dpython:type</em><em>, </em><em>optional</em>) – the desired data type of returned tensor.
 Default: if <code class="docutils literal notranslate"><span class="pre">None</span></code>, uses a global default
-(see <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html#torch.set_default_tensor_type" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.set_default_tensor_type()</span></code></a>).</p></li>
-<li><p><strong>device</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.4)"><em>torch.device</em></a><em>, </em><em>optional</em>) – the desired device of returned tensor.
+(see <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html#torch.set_default_tensor_type" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.set_default_tensor_type()</span></code></a>).</p></li>
+<li><p><strong>device</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.5)"><em>torch.device</em></a><em>, </em><em>optional</em>) – the desired device of returned tensor.
 Default: if <code class="docutils literal notranslate"><span class="pre">None</span></code>, uses the current device for the default tensor type
-(see <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html#torch.set_default_tensor_type" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.set_default_tensor_type()</span></code></a>).
+(see <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.set_default_tensor_type.html#torch.set_default_tensor_type" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.set_default_tensor_type()</span></code></a>).
 device will be the CPU for CPU tensor types and the current CUDA
 device for CUDA tensor types.</p></li>
 </ul>
diff --git a/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html b/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
index 4e23d645e6..6195ca2042 100644
--- a/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
+++ b/main/generated/torchaudio.prototype.functional.barkscale_fbanks.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.barkscale_fbanks &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.barkscale_fbanks &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.barkscale_fbanks<a class="headerlink" href="#torchaudio-prototype-functional-barkscale-fbanks" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.barkscale_fbanks">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">barkscale_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_barks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bark_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'traunmuller'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/functional.html#barkscale_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.barkscale_fbanks" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">barkscale_fbanks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_freqs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">f_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_barks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bark_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'traunmuller'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/functional.html#barkscale_fbanks"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.barkscale_fbanks" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create a frequency bin conversion matrix.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
@@ -466,7 +466,7 @@ <h1>torchaudio.prototype.functional.barkscale_fbanks<a class="headerlink" href="
 <code class="docutils literal notranslate"><span class="pre">A</span> <span class="pre">*</span> <span class="pre">barkscale_fbanks(A.size(-1),</span> <span class="pre">...)</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.functional.chroma_filterbank.html b/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
index 78709a922e..fc6ca28bf3 100644
--- a/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
+++ b/main/generated/torchaudio.prototype.functional.chroma_filterbank.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.chroma_filterbank &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.chroma_filterbank &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -462,7 +462,7 @@ <h1>torchaudio.prototype.functional.chroma_filterbank<a class="headerlink" href=
 <dd class="field-even"><p>Chroma filter bank, with shape <cite>(n_freqs, n_chroma)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.functional.extend_pitch.html b/main/generated/torchaudio.prototype.functional.extend_pitch.html
index c381b294b5..a3ff6aa7d7 100644
--- a/main/generated/torchaudio.prototype.functional.extend_pitch.html
+++ b/main/generated/torchaudio.prototype.functional.extend_pitch.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.extend_pitch &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.extend_pitch &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.extend_pitch<a class="headerlink" href="#torchaudio-prototype-functional-extend-pitch" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.extend_pitch">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">extend_pitch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#extend_pitch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.extend_pitch" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">extend_pitch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">base</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pattern</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#extend_pitch"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.extend_pitch" title="Permalink to this definition">¶</a></dt>
 <dd><p>Extend the given time series values with multipliers of them.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -451,8 +451,8 @@ <h1>torchaudio.prototype.functional.extend_pitch<a class="headerlink" href="#tor
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>base</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Base time series, like fundamental frequencies (Hz). Shape: <cite>(…, time, 1)</cite>.</p></li>
-<li><p><strong>pattern</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em>, </em><em>list of python:floats</em><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – <p>If <code class="docutils literal notranslate"><span class="pre">int</span></code>, the number of pitch series after the operation.
+<li><p><strong>base</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Base time series, like fundamental frequencies (Hz). Shape: <cite>(…, time, 1)</cite>.</p></li>
+<li><p><strong>pattern</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em>, </em><em>list of python:floats</em><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – <p>If <code class="docutils literal notranslate"><span class="pre">int</span></code>, the number of pitch series after the operation.
 <cite>pattern - 1</cite> tones are added, so that the resulting Tensor contains
 up to <cite>pattern</cite>-th overtones of the given series.</p>
 <p>If list of float or <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, it must be one dimensional,
diff --git a/main/generated/torchaudio.prototype.functional.filter_waveform.html b/main/generated/torchaudio.prototype.functional.filter_waveform.html
index c44eb85f05..8c11ed8f7b 100644
--- a/main/generated/torchaudio.prototype.functional.filter_waveform.html
+++ b/main/generated/torchaudio.prototype.functional.filter_waveform.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.filter_waveform &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.filter_waveform &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.filter_waveform<a class="headerlink" href="#torchaudio-prototype-functional-filter-waveform" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.filter_waveform">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">filter_waveform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_compensation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#filter_waveform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.filter_waveform" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">filter_waveform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_compensation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#filter_waveform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.filter_waveform" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies filters along time axis of the given waveform.</p>
 <p>This function applies the given filters along time axis in the following manner:</p>
 <ol class="arabic simple">
diff --git a/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html b/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
index 72c1900579..fdd5cc1f07 100644
--- a/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
+++ b/main/generated/torchaudio.prototype.functional.frequency_impulse_response.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.frequency_impulse_response &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.frequency_impulse_response &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.functional.oscillator_bank.html b/main/generated/torchaudio.prototype.functional.oscillator_bank.html
index e95703f2a0..7ef9405c57 100644
--- a/main/generated/torchaudio.prototype.functional.oscillator_bank.html
+++ b/main/generated/torchaudio.prototype.functional.oscillator_bank.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.oscillator_bank &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.oscillator_bank &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.oscillator_bank<a class="headerlink" href="#torchaudio-prototype-functional-oscillator-bank" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.oscillator_bank">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">oscillator_bank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frequencies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">amplitudes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sum'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.4)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">torch.float64</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#oscillator_bank"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.oscillator_bank" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">oscillator_bank</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frequencies</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">amplitudes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sum'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.5)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">torch.float64</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#oscillator_bank"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.oscillator_bank" title="Permalink to this definition">¶</a></dt>
 <dd><p>Synthesize waveform from the given instantaneous frequencies and amplitudes.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.prototype.functional.ray_tracing.html b/main/generated/torchaudio.prototype.functional.ray_tracing.html
index 5f523af4af..2f6cc72da4 100644
--- a/main/generated/torchaudio.prototype.functional.ray_tracing.html
+++ b/main/generated/torchaudio.prototype.functional.ray_tracing.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.ray_tracing &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.ray_tracing &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.ray_tracing<a class="headerlink" href="#torchaudio-prototype-functional-ray-tracing" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.ray_tracing">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">ray_tracing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">room</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rays</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">absorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scattering</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sound_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">343.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_thres</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_thres</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hist_bin_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.004</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_rir.html#ray_tracing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.ray_tracing" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">ray_tracing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">room</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_rays</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">absorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scattering</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_radius</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sound_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">343.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy_thres</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">time_thres</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hist_bin_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.004</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_rir.html#ray_tracing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.ray_tracing" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute energy histogram via ray tracing.</p>
 <p>The implementation is based on <em>pyroomacoustics</em> <span id="id1">[<a class="reference internal" href="../references.html#id62" title="Robin Scheibler, Eric Bezzam, and Ivan Dokmanić. Pyroomacoustics: a python package for audio room simulation and array processing algorithms. In 2018 IEEE international conference on acoustics, speech and signal processing (ICASSP), 351–355. IEEE, 2018.">Scheibler <em>et al.</em>, 2018</a>]</span>.</p>
 <p><code class="docutils literal notranslate"><span class="pre">num_rays</span></code> rays are casted uniformly in all directions from the source;
@@ -456,11 +456,11 @@ <h1>torchaudio.prototype.functional.ray_tracing<a class="headerlink" href="#torc
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>room</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Room coordinates. The shape of <cite>room</cite> must be <cite>(3,)</cite> which represents
+<li><p><strong>room</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Room coordinates. The shape of <cite>room</cite> must be <cite>(3,)</cite> which represents
 three dimensions of the room.</p></li>
-<li><p><strong>source</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Sound source coordinates. Tensor with dimensions <cite>(3,)</cite>.</p></li>
-<li><p><strong>mic_array</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Microphone coordinates. Tensor with dimensions <cite>(channel, 3)</cite>.</p></li>
-<li><p><strong>absorption</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The absorption coefficients of wall materials.
+<li><p><strong>source</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Sound source coordinates. Tensor with dimensions <cite>(3,)</cite>.</p></li>
+<li><p><strong>mic_array</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Microphone coordinates. Tensor with dimensions <cite>(channel, 3)</cite>.</p></li>
+<li><p><strong>absorption</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The absorption coefficients of wall materials.
 (Default: <code class="docutils literal notranslate"><span class="pre">0.0</span></code>).
 If the type is <code class="docutils literal notranslate"><span class="pre">float</span></code>, the absorption coefficient is identical to all walls and
 all frequencies.
@@ -469,7 +469,7 @@ <h1>torchaudio.prototype.functional.ray_tracing<a class="headerlink" href="#torc
 <code class="docutils literal notranslate"><span class="pre">&quot;ceiling&quot;</span></code>, respectively.
 If <code class="docutils literal notranslate"><span class="pre">absorption</span></code> is a 2D Tensor, the shape must be  <cite>(num_bands, 6)</cite>.
 <code class="docutils literal notranslate"><span class="pre">num_bands</span></code> is the number of frequency bands (usually 7).</p></li>
-<li><p><strong>scattering</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The scattering coefficients of wall materials. (Default: <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)
+<li><p><strong>scattering</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The scattering coefficients of wall materials. (Default: <code class="docutils literal notranslate"><span class="pre">0.0</span></code>)
 The shape and type of this parameter is the same as for <code class="docutils literal notranslate"><span class="pre">absorption</span></code>.</p></li>
 <li><p><strong>mic_radius</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – The radius of the microphone in meters. (Default: 0.5)</p></li>
 <li><p><strong>sound_speed</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – The speed of sound in meters per second. (Default: <code class="docutils literal notranslate"><span class="pre">343.0</span></code>)</p></li>
@@ -490,7 +490,7 @@ <h1>torchaudio.prototype.functional.ray_tracing<a class="headerlink" href="#torc
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html b/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
index d3c93573c9..7faa8bf2bc 100644
--- a/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
+++ b/main/generated/torchaudio.prototype.functional.simulate_rir_ism.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.simulate_rir_ism &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.simulate_rir_ism &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.simulate_rir_ism<a class="headerlink" href="#torchaudio-prototype-functional-simulate-rir-ism" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.simulate_rir_ism">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">simulate_rir_ism</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">room</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_order</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">absorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_filter_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">81</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sound_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">343.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_rir.html#simulate_rir_ism"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.simulate_rir_ism" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">simulate_rir_ism</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">room</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">source</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mic_array</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_order</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">absorption</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">delay_filter_length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">81</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center_frequency</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sound_speed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">343.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_rir.html#simulate_rir_ism"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.simulate_rir_ism" title="Permalink to this definition">¶</a></dt>
 <dd><p>Compute Room Impulse Response (RIR) based on the <em>image source method</em> <span id="id1">[<a class="reference internal" href="../references.html#id63" title="Jont B Allen and David A Berkley. Image method for efficiently simulating small-room acoustics. The Journal of the Acoustical Society of America, 65(4):943–950, 1979.">Allen and Berkley, 1979</a>]</span>.
 The implementation is based on <em>pyroomacoustics</em> <span id="id2">[<a class="reference internal" href="../references.html#id62" title="Robin Scheibler, Eric Bezzam, and Ivan Dokmanić. Pyroomacoustics: a python package for audio room simulation and array processing algorithms. In 2018 IEEE international conference on acoustics, speech and signal processing (ICASSP), 351–355. IEEE, 2018.">Scheibler <em>et al.</em>, 2018</a>]</span>.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
@@ -450,12 +450,12 @@ <h1>torchaudio.prototype.functional.simulate_rir_ism<a class="headerlink" href="
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>room</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Room coordinates. The shape of <cite>room</cite> must be <cite>(3,)</cite> which represents
+<li><p><strong>room</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Room coordinates. The shape of <cite>room</cite> must be <cite>(3,)</cite> which represents
 three dimensions of the room.</p></li>
-<li><p><strong>source</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Sound source coordinates. Tensor with dimensions <cite>(3,)</cite>.</p></li>
-<li><p><strong>mic_array</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Microphone coordinates. Tensor with dimensions <cite>(channel, 3)</cite>.</p></li>
+<li><p><strong>source</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Sound source coordinates. Tensor with dimensions <cite>(3,)</cite>.</p></li>
+<li><p><strong>mic_array</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Microphone coordinates. Tensor with dimensions <cite>(channel, 3)</cite>.</p></li>
 <li><p><strong>max_order</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – The maximum number of reflections of the source.</p></li>
-<li><p><strong>absorption</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The <em>absorption</em> <span id="id3">[<a class="reference internal" href="../references.html#id64" title="Wikipedia contributors. Absorption (acoustics) — Wikipedia, the free encyclopedia. [Online]. URL: https://en.wikipedia.org/wiki/Absorption_(acoustics).">Wikipedia contributors, n.d.</a>]</span>
+<li><p><strong>absorption</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The <em>absorption</em> <span id="id3">[<a class="reference internal" href="../references.html#id64" title="Wikipedia contributors. Absorption (acoustics) — Wikipedia, the free encyclopedia. [Online]. URL: https://en.wikipedia.org/wiki/Absorption_(acoustics).">Wikipedia contributors, n.d.</a>]</span>
 coefficients of wall materials for sound energy.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">float</span></code>, the absorption coefficient is identical for all walls and
 all frequencies.
@@ -472,7 +472,7 @@ <h1>torchaudio.prototype.functional.simulate_rir_ism<a class="headerlink" href="
 <p>where <code class="docutils literal notranslate"><span class="pre">max_d</span></code> is the maximum distance between image sources and microphones.</p>
 </p></li>
 <li><p><strong>delay_filter_length</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em>, </em><em>optional</em>) – The filter length for computing sinc function. (Default: <code class="docutils literal notranslate"><span class="pre">81</span></code>)</p></li>
-<li><p><strong>center_frequency</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The center frequencies of octave bands for multi-band walls.
+<li><p><strong>center_frequency</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – The center frequencies of octave bands for multi-band walls.
 Only used when <code class="docutils literal notranslate"><span class="pre">absorption</span></code> is a 2D Tensor.</p></li>
 <li><p><strong>sound_speed</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – The speed of sound. (Default: <code class="docutils literal notranslate"><span class="pre">343.0</span></code>)</p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – The sample rate of the generated room impulse response signal.
@@ -484,7 +484,7 @@ <h1>torchaudio.prototype.functional.simulate_rir_ism<a class="headerlink" href="
 <cite>(channel, rir_length)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>)</p>
 </dd>
 </dl>
 <div class="admonition note">
diff --git a/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html b/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
index 2f5f9a7aac..e4880ca4d1 100644
--- a/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
+++ b/main/generated/torchaudio.prototype.functional.sinc_impulse_response.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.functional.sinc_impulse_response &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.functional.sinc_impulse_response &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>torchaudio.prototype.functional.sinc_impulse_response<a class="headerlink" href="#torchaudio-prototype-functional-sinc-impulse-response" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.prototype.functional.sinc_impulse_response">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">sinc_impulse_response</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">513</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_pass</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#sinc_impulse_response"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.sinc_impulse_response" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.functional.</span></span><span class="sig-name descname"><span class="pre">sinc_impulse_response</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cutoff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">513</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">high_pass</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/functional/_dsp.html#sinc_impulse_response"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.functional.sinc_impulse_response" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create windowed-sinc impulse response for given cutoff frequencies.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
diff --git a/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html b/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
index 809b56676e..89ca5aa9ff 100644
--- a/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
+++ b/main/generated/torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ConformerWav2Vec2PretrainModel &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ConformerWav2Vec2PretrainModel &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@
 <h1>ConformerWav2Vec2PretrainModel<a class="headerlink" href="#conformerwav2vec2pretrainmodel" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.ConformerWav2Vec2PretrainModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.models.</span></span><span class="sig-name descname"><span class="pre">ConformerWav2Vec2PretrainModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wav2vec2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_generator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">negative_sampler</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/models/_conformer_wav2vec2.html#ConformerWav2Vec2PretrainModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.ConformerWav2Vec2PretrainModel" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.prototype.models.</span></span><span class="sig-name descname"><span class="pre">ConformerWav2Vec2PretrainModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wav2vec2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="torchaudio.models.Wav2Vec2Model.html#torchaudio.models.Wav2Vec2Model" title="torchaudio.models.wav2vec2.model.Wav2Vec2Model"><span class="pre">Wav2Vec2Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_generator</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">negative_sampler</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/prototype/models/_conformer_wav2vec2.html#ConformerWav2Vec2PretrainModel"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.ConformerWav2Vec2PretrainModel" title="Permalink to this definition">¶</a></dt>
 <dd><p>Conformer Wav2Vec2 pre-train model for training from scratch.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -468,7 +468,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.forward">
-<span class="sig-prename descclassname"><span class="pre">ConformerWav2Vec2PretrainModel.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">audio_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/models/_conformer_wav2vec2.html#ConformerWav2Vec2PretrainModel.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ConformerWav2Vec2PretrainModel.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">audio_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/models/_conformer_wav2vec2.html#ConformerWav2Vec2PretrainModel.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.ConformerWav2Vec2PretrainModel.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.prototype.models.ConvEmformer.html b/main/generated/torchaudio.prototype.models.ConvEmformer.html
index e7a05430bc..e07507b0cc 100644
--- a/main/generated/torchaudio.prototype.models.ConvEmformer.html
+++ b/main/generated/torchaudio.prototype.models.ConvEmformer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ConvEmformer &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ConvEmformer &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -490,7 +490,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.ConvEmformer.forward">
-<span class="sig-prename descclassname"><span class="pre">ConvEmformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.prototype.models.ConvEmformer.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ConvEmformer.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.prototype.models.ConvEmformer.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for training and non-streaming inference.</p>
 <p>B: batch size;
 T: max number of input frames in batch;
@@ -498,9 +498,9 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
 shape <cite>(B, T + right_context_length, D)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid utterance frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
 </ul>
 </dd>
@@ -527,18 +527,18 @@ <h2>infer<a class="headerlink" href="#infer" title="Permalink to this heading">
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.ConvEmformer.infer">
-<span class="sig-prename descclassname"><span class="pre">ConvEmformer.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.prototype.models.ConvEmformer.infer" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">ConvEmformer.</span></span><span class="sig-name descname"><span class="pre">infer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">states</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#torchaudio.prototype.models.ConvEmformer.infer" title="Permalink to this definition">¶</a></dt>
 <dd><p>Forward pass for streaming inference.</p>
 <p>B: batch size;
 D: feature dimension of each frame.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – utterance frames right-padded with right context frames, with
 shape <cite>(B, segment_length + right_context_length, D)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – with shape <cite>(B,)</cite> and i-th element representing
 number of valid frames for i-th batch element in <code class="docutils literal notranslate"><span class="pre">input</span></code>.</p></li>
-<li><p><strong>states</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
+<li><p><strong>states</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – list of lists of tensors
 representing internal state generated in preceding invocation of <code class="docutils literal notranslate"><span class="pre">infer</span></code>. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
diff --git a/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html b/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
index ec087f0839..e0dcf37f97 100644
--- a/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
+++ b/main/generated/torchaudio.prototype.models.HiFiGANVocoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HiFiGANVocoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HiFiGANVocoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -476,7 +476,7 @@ <h2>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.models.HiFiGANVocoder.forward">
-<span class="sig-prename descclassname"><span class="pre">HiFiGANVocoder.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/models/hifi_gan.html#HiFiGANVocoder.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.HiFiGANVocoder.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">HiFiGANVocoder.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/models/hifi_gan.html#HiFiGANVocoder.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.models.HiFiGANVocoder.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>x</strong> (<em>Tensor</em>) – Feature input tensor of shape <cite>(batch_size, num_channels, time_length)</cite>.</p>
diff --git a/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html b/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
index 4b45ebdccc..fac42a4ced 100644
--- a/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_rnnt_base.html
@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.prototype.models.conformer_rnnt_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.conformer_rnnt_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html b/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
index 269748cde0..a9e3382125 100644
--- a/main/generated/torchaudio.prototype.models.conformer_rnnt_model.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_rnnt_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.conformer_rnnt_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
index c0049e7add..4efde91a9a 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
index 70cdc3be86..3e5d93829f 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
index 1cd0fb8bee..7b3b420152 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_base.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
index 0c27a08bf7..4b88c7a80c 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_large.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_large &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_large &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
index f0e60c47ba..c0cb1ff126 100644
--- a/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
+++ b/main/generated/torchaudio.prototype.models.conformer_wav2vec2_pretrain_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.conformer_wav2vec2_pretrain_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.emformer_hubert_base.html b/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
index d37aba8578..2baf1119cf 100644
--- a/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
+++ b/main/generated/torchaudio.prototype.models.emformer_hubert_base.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.emformer_hubert_base &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.emformer_hubert_base &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.models.emformer_hubert_model.html b/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
index a04a885957..46389beb71 100644
--- a/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
+++ b/main/generated/torchaudio.prototype.models.emformer_hubert_model.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.emformer_hubert_model &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.emformer_hubert_model &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
index 5a62b52e61..f137fae03f 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder.html
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@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.prototype.models.hifigan_vocoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.hifigan_vocoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
index a7c19d369d..5ec3d21524 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v1.html
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-  <title>torchaudio.prototype.models.hifigan_vocoder_v1 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
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@@ -224,7 +224,7 @@
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
index f7e6989eea..5cd4e49af9 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v2.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.prototype.models.hifigan_vocoder_v2 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.hifigan_vocoder_v2 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
index 0953c0ea72..3cad6abef1 100644
--- a/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
+++ b/main/generated/torchaudio.prototype.models.hifigan_vocoder_v3.html
@@ -10,7 +10,7 @@
 
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-  <title>torchaudio.prototype.models.hifigan_vocoder_v3 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.prototype.models.hifigan_vocoder_v3 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
index 920a59adcf..c5473da687 100644
--- a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_MUSTC.html
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@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>EMFORMER_RNNT_BASE_MUSTC &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>EMFORMER_RNNT_BASE_MUSTC &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
index ca1996479d..c54c619818 100644
--- a/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
+++ b/main/generated/torchaudio.prototype.pipelines.EMFORMER_RNNT_BASE_TEDLIUM3.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>EMFORMER_RNNT_BASE_TEDLIUM3 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>EMFORMER_RNNT_BASE_TEDLIUM3 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
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     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html b/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
index 92c7469d92..27a1e313fd 100644
--- a/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
+++ b/main/generated/torchaudio.prototype.pipelines.HIFIGAN_VOCODER_V3_LJSPEECH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HIFIGAN_VOCODER_V3_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HIFIGAN_VOCODER_V3_LJSPEECH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html b/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
index 7fcd99c680..13c329b729 100644
--- a/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
+++ b/main/generated/torchaudio.prototype.pipelines.HiFiGANVocoderBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>HiFiGANVocoderBundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>HiFiGANVocoderBundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -529,7 +529,7 @@ <h3>get_mel_transform<a class="headerlink" href="#get-mel-transform" title="Perm
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.pipelines.HiFiGANVocoderBundle.get_mel_transform">
-<span class="sig-prename descclassname"><span class="pre">HiFiGANVocoderBundle.</span></span><span class="sig-name descname"><span class="pre">get_mel_transform</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html#HiFiGANVocoderBundle.get_mel_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.pipelines.HiFiGANVocoderBundle.get_mel_transform" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">HiFiGANVocoderBundle.</span></span><span class="sig-name descname"><span class="pre">get_mel_transform</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><span class="pre">Module</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html#HiFiGANVocoderBundle.get_mel_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.pipelines.HiFiGANVocoderBundle.get_mel_transform" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct an object which transforms waveforms into mel spectrograms.</p>
 </dd></dl>
 
@@ -543,10 +543,10 @@ <h3>get_vocoder<a class="headerlink" href="#get-vocoder" title="Permalink to thi
 <span class="sig-prename descclassname"><span class="pre">HiFiGANVocoderBundle.</span></span><span class="sig-name descname"><span class="pre">get_vocoder</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dl_kwargs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="torchaudio.prototype.models.HiFiGANVocoder.html#torchaudio.prototype.models.HiFiGANVocoder" title="torchaudio.prototype.models.hifi_gan.HiFiGANVocoder"><span class="pre">HiFiGANVocoder</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/pipelines/hifigan_pipeline.html#HiFiGANVocoderBundle.get_vocoder"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.pipelines.HiFiGANVocoderBundle.get_vocoder" title="Permalink to this definition">¶</a></dt>
 <dd><p>Construct the HiFiGAN Generator model, which can be used a vocoder, and load the pretrained weight.</p>
 <p>The weight file is downloaded from the internet and cached with
-<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
+<a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a></p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
+<dd class="field-odd"><p><strong>dl_kwargs</strong> (<em>dictionary of keyword arguments</em>) – Passed to <a class="reference external" href="https://pytorch.org/docs/stable/hub.html#torch.hub.load_state_dict_from_url" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.hub.load_state_dict_from_url()</span></code></a>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Variation of <a class="reference internal" href="torchaudio.prototype.models.HiFiGANVocoder.html#torchaudio.prototype.models.HiFiGANVocoder" title="torchaudio.prototype.models.HiFiGANVocoder"><code class="xref py py-class docutils literal notranslate"><span class="pre">HiFiGANVocoder</span></code></a>.</p>
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGISH.html b/main/generated/torchaudio.prototype.pipelines.VGGISH.html
index 4f9dc3b7af..652c1b13fb 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGISH.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGISH.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VGGISH &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VGGISH &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
index 5998bc1cef..122bc29400 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGish.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VGGishBundle.VGGish &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VGGishBundle.VGGish &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -453,16 +453,16 @@ <h3>forward<a class="headerlink" href="#forward" title="Permalink to this headin
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.pipelines.VGGishBundle.VGGish.forward">
-<span class="sig-prename descclassname"><span class="pre">VGGish.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torchaudio.prototype.pipelines.VGGishBundle.VGGish.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VGGish.</span></span><span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torchaudio.prototype.pipelines.VGGishBundle.VGGish.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – batch of spectrograms, with shape <cite>(n_example, 1, n_frame, 64)</cite>.</p>
+<dd class="field-odd"><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – batch of spectrograms, with shape <cite>(n_example, 1, n_frame, 64)</cite>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>model output, with shape <cite>(n_example, 128)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
index 1e2afc3d91..6278d8cd88 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VGGishBundle.VGGishInputProcessor &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VGGishBundle.VGGishInputProcessor &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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@@ -453,11 +453,11 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.__call__">
-<span class="sig-prename descclassname"><span class="pre">VGGishInputProcessor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.__call__" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">VGGishInputProcessor.</span></span><span class="sig-name descname"><span class="pre">__call__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torchaudio.prototype.pipelines.VGGishBundle.VGGishInputProcessor.__call__" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – waveform, with shape <cite>(T,)</cite>.</p></li>
+<li><p><strong>input</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – waveform, with shape <cite>(T,)</cite>.</p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sample rate of waveform in hertz.</p></li>
 </ul>
 </dd>
@@ -465,7 +465,7 @@ <h3>__call__<a class="headerlink" href="#call" title="Permalink to this heading"
 <dd class="field-even"><p>batch of examples to pass to VGGish, with shape <cite>(n_example, 1, n_frame, 64)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
index 8c9163b447..62f365de93 100644
--- a/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
+++ b/main/generated/torchaudio.prototype.pipelines.VGGishBundle.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>VGGishBundle &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>VGGishBundle &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.prototype.transforms.BarkScale.html b/main/generated/torchaudio.prototype.transforms.BarkScale.html
index 98bb40fd51..5acc2f3ecd 100644
--- a/main/generated/torchaudio.prototype.transforms.BarkScale.html
+++ b/main/generated/torchaudio.prototype.transforms.BarkScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>BarkScale &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>BarkScale &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -477,16 +477,16 @@ <h1>BarkScale<a class="headerlink" href="#barkscale" title="Permalink to this he
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.BarkScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#BarkScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.BarkScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#BarkScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.BarkScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – A spectrogram STFT of dimension (…, freq, time).</p>
+<dd class="field-odd"><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – A spectrogram STFT of dimension (…, freq, time).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Bark frequency spectrogram of size (…, <code class="docutils literal notranslate"><span class="pre">n_barks</span></code>, time).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html b/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
index bd6c6b6b75..17d7d707ce 100644
--- a/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
+++ b/main/generated/torchaudio.prototype.transforms.BarkSpectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>BarkSpectrogram &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>BarkSpectrogram &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -468,7 +468,7 @@ <h1>BarkSpectrogram<a class="headerlink" href="#barkspectrogram" title="Permalin
 <li><p><strong>f_max</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Maximum frequency. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 <li><p><strong>pad</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em>, </em><em>optional</em>) – Two sided padding of signal. (Default: <code class="docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
 <li><p><strong>n_mels</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em>, </em><em>optional</em>) – Number of mel filterbanks. (Default: <code class="docutils literal notranslate"><span class="pre">128</span></code>)</p></li>
-<li><p><strong>window_fn</strong> (<em>Callable</em><em>[</em><em>...</em><em>, </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>]</em><em>, </em><em>optional</em>) – A function to create a window tensor
+<li><p><strong>window_fn</strong> (<em>Callable</em><em>[</em><em>...</em><em>, </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>]</em><em>, </em><em>optional</em>) – A function to create a window tensor
 that is applied/multiplied to each frame/window. (Default: <code class="docutils literal notranslate"><span class="pre">torch.hann_window</span></code>)</p></li>
 <li><p><strong>power</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – Exponent for the magnitude spectrogram,
 (must be &gt; 0) e.g., 1 for energy, 2 for power, etc. (Default: <code class="docutils literal notranslate"><span class="pre">2</span></code>)</p></li>
@@ -498,16 +498,16 @@ <h1>BarkSpectrogram<a class="headerlink" href="#barkspectrogram" title="Permalin
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.BarkSpectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#BarkSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.BarkSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#BarkSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.BarkSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – torch.Tensor of audio of dimension (…, time).</p>
+<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – torch.Tensor of audio of dimension (…, time).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Bark frequency spectrogram of size (…, <code class="docutils literal notranslate"><span class="pre">n_barks</span></code>, time).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.transforms.ChromaScale.html b/main/generated/torchaudio.prototype.transforms.ChromaScale.html
index c67efc7f67..a222992408 100644
--- a/main/generated/torchaudio.prototype.transforms.ChromaScale.html
+++ b/main/generated/torchaudio.prototype.transforms.ChromaScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ChromaScale &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ChromaScale &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -478,16 +478,16 @@ <h1>ChromaScale<a class="headerlink" href="#chromascale" title="Permalink to thi
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.ChromaScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#ChromaScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.ChromaScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#ChromaScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.ChromaScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_freqs</span></code>, time).</p>
+<dd class="field-odd"><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_freqs</span></code>, time).</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Chroma spectrogram of size (…, <code class="docutils literal notranslate"><span class="pre">n_chroma</span></code>, time).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html b/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
index 43f275f3f1..2269f4a6d8 100644
--- a/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
+++ b/main/generated/torchaudio.prototype.transforms.ChromaSpectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ChromaSpectrogram &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ChromaSpectrogram &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -456,7 +456,7 @@ <h1>ChromaSpectrogram<a class="headerlink" href="#chromaspectrogram" title="Perm
 <li><p><strong>win_length</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Window size. (Default: <code class="docutils literal notranslate"><span class="pre">n_fft</span></code>)</p></li>
 <li><p><strong>hop_length</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Length of hop between STFT windows. (Default: <code class="docutils literal notranslate"><span class="pre">win_length</span> <span class="pre">//</span> <span class="pre">2</span></code>)</p></li>
 <li><p><strong>pad</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em>, </em><em>optional</em>) – Two sided padding of signal. (Default: <code class="docutils literal notranslate"><span class="pre">0</span></code>)</p></li>
-<li><p><strong>window_fn</strong> (<em>Callable</em><em>[</em><em>...</em><em>, </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em>]</em><em>, </em><em>optional</em>) – A function to create a window tensor
+<li><p><strong>window_fn</strong> (<em>Callable</em><em>[</em><em>...</em><em>, </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em>]</em><em>, </em><em>optional</em>) – A function to create a window tensor
 that is applied/multiplied to each frame/window. (Default: <code class="docutils literal notranslate"><span class="pre">torch.hann_window</span></code>)</p></li>
 <li><p><strong>power</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – Exponent for the magnitude spectrogram,
 (must be &gt; 0) e.g., 1 for energy, 2 for power, etc. (Default: <code class="docutils literal notranslate"><span class="pre">2</span></code>)</p></li>
@@ -487,7 +487,7 @@ <h1>ChromaSpectrogram<a class="headerlink" href="#chromaspectrogram" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.ChromaSpectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#ChromaSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.ChromaSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#ChromaSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.ChromaSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html b/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
index e50e042f4a..0b01674616 100644
--- a/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
+++ b/main/generated/torchaudio.prototype.transforms.InverseBarkScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>InverseBarkScale &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>InverseBarkScale &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -475,16 +475,16 @@ <h1>InverseBarkScale<a class="headerlink" href="#inversebarkscale" title="Permal
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.prototype.transforms.InverseBarkScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">barkspec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#InverseBarkScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.InverseBarkScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">barkspec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/prototype/transforms/_transforms.html#InverseBarkScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.prototype.transforms.InverseBarkScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>barkspec</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – A Bark frequency spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_barks</span></code>, time)</p>
+<dd class="field-odd"><p><strong>barkspec</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – A Bark frequency spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_barks</span></code>, time)</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Linear scale spectrogram of size (…, freq, time)</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.save.html b/main/generated/torchaudio.save.html
index 3aced6b173..108a79315c 100644
--- a/main/generated/torchaudio.save.html
+++ b/main/generated/torchaudio.save.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.save &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.save &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.save<a class="headerlink" href="#torchaudio-save" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.save">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.</span></span><span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uri</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.BinaryIO" title="(in Python v3.13)"><span class="pre">BinaryIO</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/os.html#os.PathLike" title="(in Python v3.13)"><span class="pre">PathLike</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">src</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4096</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torio.io.StreamingMediaEncoder.html#torio.io.CodecConfig" title="torio.io._streaming_media_encoder.CodecConfig"><span class="pre">CodecConfig</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torchaudio.save" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.</span></span><span class="sig-name descname"><span class="pre">save</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">uri</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.BinaryIO" title="(in Python v3.13)"><span class="pre">BinaryIO</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/os.html#os.PathLike" title="(in Python v3.13)"><span class="pre">PathLike</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">src</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">encoding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits_per_sample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">buffer_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4096</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">backend</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compression</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="torio.io.StreamingMediaEncoder.html#torio.io.CodecConfig" title="torio.io._streaming_media_encoder.CodecConfig"><span class="pre">CodecConfig</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#torchaudio.save" title="Permalink to this definition">¶</a></dt>
 <dd><p>Save audio data to file.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -456,7 +456,7 @@ <h1>torchaudio.save<a class="headerlink" href="#torchaudio-save" title="Permalin
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
 <li><p><strong>uri</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><em>str</em></a><em> or </em><a class="reference external" href="https://docs.python.org/3/library/pathlib.html#pathlib.Path" title="(in Python v3.13)"><em>pathlib.Path</em></a>) – Path to audio file.</p></li>
-<li><p><strong>src</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Audio data to save. must be 2D tensor.</p></li>
+<li><p><strong>src</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Audio data to save. must be 2D tensor.</p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – sampling rate</p></li>
 <li><p><strong>channels_first</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><em>bool</em></a><em>, </em><em>optional</em>) – If <code class="docutils literal notranslate"><span class="pre">True</span></code>, the given tensor is interpreted as <cite>[channel, time]</cite>,
 otherwise <cite>[time, channel]</cite>.</p></li>
diff --git a/main/generated/torchaudio.sox_effects.apply_effects_file.html b/main/generated/torchaudio.sox_effects.apply_effects_file.html
index 7e12e3343b..e2dcf04f4d 100644
--- a/main/generated/torchaudio.sox_effects.apply_effects_file.html
+++ b/main/generated/torchaudio.sox_effects.apply_effects_file.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects.apply_effects_file &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.sox_effects.apply_effects_file &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.sox_effects.apply_effects_file<a class="headerlink" href="#torchaudio-sox-effects-apply-effects-file" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.sox_effects.apply_effects_file">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.sox_effects.</span></span><span class="sig-name descname"><span class="pre">apply_effects_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">effects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/sox_effects/sox_effects.html#apply_effects_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.sox_effects.apply_effects_file" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.sox_effects.</span></span><span class="sig-name descname"><span class="pre">apply_effects_file</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">effects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalize</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">format</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/sox_effects/sox_effects.html#apply_effects_file"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.sox_effects.apply_effects_file" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply sox effects to the audio file and load the resulting data as Tensor</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
diff --git a/main/generated/torchaudio.sox_effects.apply_effects_tensor.html b/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
index 9795037d08..6f224e5a59 100644
--- a/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
+++ b/main/generated/torchaudio.sox_effects.apply_effects_tensor.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects.apply_effects_tensor &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.sox_effects.apply_effects_tensor &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>torchaudio.sox_effects.apply_effects_tensor<a class="headerlink" href="#torchaudio-sox-effects-apply-effects-tensor" title="Permalink to this heading">¶</a></h1>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.sox_effects.apply_effects_tensor">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.sox_effects.</span></span><span class="sig-name descname"><span class="pre">apply_effects_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">effects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/sox_effects/sox_effects.html#apply_effects_tensor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.sox_effects.apply_effects_tensor" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.sox_effects.</span></span><span class="sig-name descname"><span class="pre">apply_effects_tensor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">effects</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.13)"><span class="pre">List</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels_first</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/sox_effects/sox_effects.html#apply_effects_tensor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.sox_effects.apply_effects_tensor" title="Permalink to this definition">¶</a></dt>
 <dd><p>Apply sox effects to given Tensor</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU" class="shield-badge" src="../_images/e293eae5f4516a625dc07ed0eed1ff8b2f18eef5a9da1f8561cc97c78ab0600c.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: TorchScript" class="shield-badge" src="../_images/6f921ff5b3be21ecb1bc4c704713f340a88edbd1f97f2711e07a486d7b53dea2.svg" /></a>
@@ -456,7 +456,7 @@ <h1>torchaudio.sox_effects.apply_effects_tensor<a class="headerlink" href="#torc
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>tensor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Input 2D CPU Tensor.</p></li>
+<li><p><strong>tensor</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Input 2D CPU Tensor.</p></li>
 <li><p><strong>sample_rate</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a>) – Sample rate</p></li>
 <li><p><strong>effects</strong> (<em>List</em><em>[</em><em>List</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><em>str</em></a><em>]</em><em>]</em>) – List of effects.</p></li>
 <li><p><strong>channels_first</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><em>bool</em></a><em>, </em><em>optional</em>) – Indicates if the input Tensor’s dimension is
diff --git a/main/generated/torchaudio.sox_effects.effect_names.html b/main/generated/torchaudio.sox_effects.effect_names.html
index e6831ea20f..6dc0219369 100644
--- a/main/generated/torchaudio.sox_effects.effect_names.html
+++ b/main/generated/torchaudio.sox_effects.effect_names.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects.effect_names &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.sox_effects.effect_names &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.transforms.AddNoise.html b/main/generated/torchaudio.transforms.AddNoise.html
index 325f02e77a..41c91f3a36 100644
--- a/main/generated/torchaudio.transforms.AddNoise.html
+++ b/main/generated/torchaudio.transforms.AddNoise.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>AddNoise &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>AddNoise &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -447,14 +447,14 @@ <h1>AddNoise<a class="headerlink" href="#addnoise" title="Permalink to this head
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.AddNoise.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#AddNoise.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.AddNoise.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#AddNoise.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.AddNoise.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Input waveform, with shape <cite>(…, L)</cite>.</p></li>
-<li><p><strong>noise</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Noise, with shape <cite>(…, L)</cite> (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p></li>
-<li><p><strong>snr</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Signal-to-noise ratios in dB, with shape <cite>(…,)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> and <code class="docutils literal notranslate"><span class="pre">noise</span></code>,</p></li>
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Input waveform, with shape <cite>(…, L)</cite>.</p></li>
+<li><p><strong>noise</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Noise, with shape <cite>(…, L)</cite> (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p></li>
+<li><p><strong>snr</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Signal-to-noise ratios in dB, with shape <cite>(…,)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> and <code class="docutils literal notranslate"><span class="pre">noise</span></code>,</p></li>
 <li><p><strong>`</strong> (<em>with shape</em>) – </p></li>
 <li><p><strong>(Default</strong> (<em>elements in waveform and noise are treated as valid.</em>) – <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
@@ -464,7 +464,7 @@ <h1>AddNoise<a class="headerlink" href="#addnoise" title="Permalink to this head
 (same shape as <code class="docutils literal notranslate"><span class="pre">waveform</span></code>).</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.AmplitudeToDB.html b/main/generated/torchaudio.transforms.AmplitudeToDB.html
index 6397cc3e95..0e9cc83ae1 100644
--- a/main/generated/torchaudio.transforms.AmplitudeToDB.html
+++ b/main/generated/torchaudio.transforms.AmplitudeToDB.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>AmplitudeToDB &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>AmplitudeToDB &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -471,7 +471,7 @@ <h1>AmplitudeToDB<a class="headerlink" href="#amplitudetodb" title="Permalink to
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.AmplitudeToDB.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#AmplitudeToDB.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.AmplitudeToDB.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#AmplitudeToDB.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.AmplitudeToDB.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Numerically stable implementation from Librosa.</p>
 <p><a class="reference external" href="https://librosa.org/doc/latest/generated/librosa.amplitude_to_db.html">https://librosa.org/doc/latest/generated/librosa.amplitude_to_db.html</a></p>
 <dl class="field-list simple">
diff --git a/main/generated/torchaudio.transforms.ComputeDeltas.html b/main/generated/torchaudio.transforms.ComputeDeltas.html
index d1a13ac072..559958d59e 100644
--- a/main/generated/torchaudio.transforms.ComputeDeltas.html
+++ b/main/generated/torchaudio.transforms.ComputeDeltas.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ComputeDeltas &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ComputeDeltas &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -455,7 +455,7 @@ <h1>ComputeDeltas<a class="headerlink" href="#computedeltas" title="Permalink to
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.ComputeDeltas.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#ComputeDeltas.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.ComputeDeltas.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#ComputeDeltas.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.ComputeDeltas.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>specgram</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, freq, time).</p>
diff --git a/main/generated/torchaudio.transforms.Convolve.html b/main/generated/torchaudio.transforms.Convolve.html
index e9013dc92c..8340ec93cf 100644
--- a/main/generated/torchaudio.transforms.Convolve.html
+++ b/main/generated/torchaudio.transforms.Convolve.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Convolve &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Convolve &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -442,7 +442,7 @@ <h1>Convolve<a class="headerlink" href="#convolve" title="Permalink to this head
 <dt class="sig sig-object py" id="torchaudio.transforms.Convolve">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.transforms.</span></span><span class="sig-name descname"><span class="pre">Convolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Convolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Convolve" title="Permalink to this definition">¶</a></dt>
 <dd><p>Convolves inputs along their last dimension using the direct method.
-Note that, in contrast to <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Conv1d</span></code></a>, which actually applies the valid cross-correlation
+Note that, in contrast to <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Conv1d</span></code></a>, which actually applies the valid cross-correlation
 operator, this module applies the true <a class="reference external" href="https://en.wikipedia.org/wiki/Convolution">convolution</a> operator.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -461,12 +461,12 @@ <h1>Convolve<a class="headerlink" href="#convolve" title="Permalink to this head
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Convolve.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Convolve.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Convolve.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Convolve.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Convolve.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
+<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
 (leading dimensions must be broadcast-able with those of <code class="docutils literal notranslate"><span class="pre">x</span></code>).</p></li>
 </ul>
 </dd>
@@ -475,7 +475,7 @@ <h1>Convolve<a class="headerlink" href="#convolve" title="Permalink to this head
 the leading dimensions match those of <code class="docutils literal notranslate"><span class="pre">x</span></code> and <cite>L</cite> is dictated by <code class="docutils literal notranslate"><span class="pre">mode</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.Deemphasis.html b/main/generated/torchaudio.transforms.Deemphasis.html
index dcc487aab8..3a6bf9343f 100644
--- a/main/generated/torchaudio.transforms.Deemphasis.html
+++ b/main/generated/torchaudio.transforms.Deemphasis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Deemphasis &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Deemphasis &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -453,16 +453,16 @@ <h1>Deemphasis<a class="headerlink" href="#deemphasis" title="Permalink to this
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Deemphasis.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Deemphasis.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Deemphasis.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Deemphasis.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Deemphasis.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p>
+<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>De-emphasized waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.FFTConvolve.html b/main/generated/torchaudio.transforms.FFTConvolve.html
index a7fa908df4..ace684e4f8 100644
--- a/main/generated/torchaudio.transforms.FFTConvolve.html
+++ b/main/generated/torchaudio.transforms.FFTConvolve.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>FFTConvolve &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>FFTConvolve &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -443,7 +443,7 @@ <h1>FFTConvolve<a class="headerlink" href="#fftconvolve" title="Permalink to thi
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.transforms.</span></span><span class="sig-name descname"><span class="pre">FFTConvolve</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'full'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#FFTConvolve"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.FFTConvolve" title="Permalink to this definition">¶</a></dt>
 <dd><p>Convolves inputs along their last dimension using FFT. For inputs with large last dimensions, this module
 is generally much faster than <a class="reference internal" href="torchaudio.transforms.Convolve.html#torchaudio.transforms.Convolve" title="torchaudio.transforms.Convolve"><code class="xref py py-class docutils literal notranslate"><span class="pre">Convolve</span></code></a>.
-Note that, in contrast to <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Conv1d</span></code></a>, which actually applies the valid cross-correlation
+Note that, in contrast to <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Conv1d</span></code></a>, which actually applies the valid cross-correlation
 operator, this module applies the true <a class="reference external" href="https://en.wikipedia.org/wiki/Convolution">convolution</a> operator.
 Also note that this module can only output float tensors (int tensor inputs will be cast to float).</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
@@ -463,12 +463,12 @@ <h1>FFTConvolve<a class="headerlink" href="#fftconvolve" title="Permalink to thi
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.FFTConvolve.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#FFTConvolve.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.FFTConvolve.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#FFTConvolve.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.FFTConvolve.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
-<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
+<li><p><strong>x</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – First convolution operand, with shape <cite>(…, N)</cite>.</p></li>
+<li><p><strong>y</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Second convolution operand, with shape <cite>(…, M)</cite>
 (leading dimensions must be broadcast-able with those of <code class="docutils literal notranslate"><span class="pre">x</span></code>).</p></li>
 </ul>
 </dd>
@@ -477,7 +477,7 @@ <h1>FFTConvolve<a class="headerlink" href="#fftconvolve" title="Permalink to thi
 the leading dimensions match those of <code class="docutils literal notranslate"><span class="pre">x</span></code> and <cite>L</cite> is dictated by <code class="docutils literal notranslate"><span class="pre">mode</span></code>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.Fade.html b/main/generated/torchaudio.transforms.Fade.html
index 45d60d08fa..f071c31de7 100644
--- a/main/generated/torchaudio.transforms.Fade.html
+++ b/main/generated/torchaudio.transforms.Fade.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Fade &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Fade &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -469,7 +469,7 @@ <h1>Fade<a class="headerlink" href="#fade" title="Permalink to this heading">¶<
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Fade.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Fade.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Fade.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Fade.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Fade.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(…, time)</cite>.</p>
diff --git a/main/generated/torchaudio.transforms.FrequencyMasking.html b/main/generated/torchaudio.transforms.FrequencyMasking.html
index 1dc8c250b4..2ca31c411a 100644
--- a/main/generated/torchaudio.transforms.FrequencyMasking.html
+++ b/main/generated/torchaudio.transforms.FrequencyMasking.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>FrequencyMasking &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>FrequencyMasking &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.transforms.GriffinLim.html b/main/generated/torchaudio.transforms.GriffinLim.html
index 2ac4bdaa42..bf31edca56 100644
--- a/main/generated/torchaudio.transforms.GriffinLim.html
+++ b/main/generated/torchaudio.transforms.GriffinLim.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>GriffinLim &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>GriffinLim &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -485,7 +485,7 @@ <h1>GriffinLim<a class="headerlink" href="#griffinlim" title="Permalink to this
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.GriffinLim.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#GriffinLim.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.GriffinLim.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#GriffinLim.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.GriffinLim.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>specgram</strong> (<em>Tensor</em>) – A magnitude-only STFT spectrogram of dimension (…, freq, frames)
diff --git a/main/generated/torchaudio.transforms.InverseMelScale.html b/main/generated/torchaudio.transforms.InverseMelScale.html
index 4dc8e7c28d..0f5bdfc1d3 100644
--- a/main/generated/torchaudio.transforms.InverseMelScale.html
+++ b/main/generated/torchaudio.transforms.InverseMelScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>InverseMelScale &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>InverseMelScale &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -475,7 +475,7 @@ <h1>InverseMelScale<a class="headerlink" href="#inversemelscale" title="Permalin
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.InverseMelScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">melspec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#InverseMelScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.InverseMelScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">melspec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#InverseMelScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.InverseMelScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>melspec</strong> (<em>Tensor</em>) – A Mel frequency spectrogram of dimension (…, <code class="docutils literal notranslate"><span class="pre">n_mels</span></code>, time)</p>
diff --git a/main/generated/torchaudio.transforms.InverseSpectrogram.html b/main/generated/torchaudio.transforms.InverseSpectrogram.html
index 50de8be1f6..1953155b8a 100644
--- a/main/generated/torchaudio.transforms.InverseSpectrogram.html
+++ b/main/generated/torchaudio.transforms.InverseSpectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>InverseSpectrogram &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>InverseSpectrogram &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -486,7 +486,7 @@ <h1>InverseSpectrogram<a class="headerlink" href="#inversespectrogram" title="Pe
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.InverseSpectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrogram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#InverseSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.InverseSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spectrogram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">length</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#InverseSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.InverseSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.transforms.LFCC.html b/main/generated/torchaudio.transforms.LFCC.html
index 2685b12f80..a41befa626 100644
--- a/main/generated/torchaudio.transforms.LFCC.html
+++ b/main/generated/torchaudio.transforms.LFCC.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>LFCC &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>LFCC &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -490,7 +490,7 @@ <h1>LFCC<a class="headerlink" href="#lfcc" title="Permalink to this heading">¶<
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.LFCC.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#LFCC.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.LFCC.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#LFCC.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.LFCC.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.Loudness.html b/main/generated/torchaudio.transforms.Loudness.html
index c0642841c9..fd8627456b 100644
--- a/main/generated/torchaudio.transforms.Loudness.html
+++ b/main/generated/torchaudio.transforms.Loudness.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Loudness &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Loudness &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -463,10 +463,10 @@ <h1>Loudness<a class="headerlink" href="#loudness" title="Permalink to this head
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Loudness.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wavefrom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Loudness.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Loudness.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">wavefrom</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Loudness.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Loudness.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – audio waveform of dimension <cite>(…, channels, time)</cite></p>
+<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – audio waveform of dimension <cite>(…, channels, time)</cite></p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>loudness estimates (LKFS)</p>
diff --git a/main/generated/torchaudio.transforms.MFCC.html b/main/generated/torchaudio.transforms.MFCC.html
index 467c243043..8e12f2f902 100644
--- a/main/generated/torchaudio.transforms.MFCC.html
+++ b/main/generated/torchaudio.transforms.MFCC.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MFCC &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>MFCC &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -487,7 +487,7 @@ <h1>MFCC<a class="headerlink" href="#mfcc" title="Permalink to this heading">¶<
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MFCC.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MFCC.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MFCC.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MFCC.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MFCC.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.MVDR.html b/main/generated/torchaudio.transforms.MVDR.html
index de6dbb2276..18363fd5e1 100644
--- a/main/generated/torchaudio.transforms.MVDR.html
+++ b/main/generated/torchaudio.transforms.MVDR.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MVDR &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>MVDR &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -498,17 +498,17 @@ <h1>MVDR<a class="headerlink" href="#mvdr" title="Permalink to this heading">¶<
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MVDR.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#MVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MVDR.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#MVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MVDR.forward" title="Permalink to this definition">¶</a></dt>
 <dd><p>Perform MVDR beamforming.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite></p></li>
-<li><p><strong>mask_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Time-Frequency mask of target speech.
+<li><p><strong>mask_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Time-Frequency mask of target speech.
 Tensor with dimensions <cite>(…, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">False</span></code>
 or with dimensions <cite>(…, channel, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
-<li><p><strong>mask_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask of noise.
+<li><p><strong>mask_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask of noise.
 Tensor with dimensions <cite>(…, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">False</span></code>
 or with dimensions <cite>(…, channel, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">True</span></code>.
 (Default: None)</p></li>
@@ -518,7 +518,7 @@ <h1>MVDR<a class="headerlink" href="#mvdr" title="Permalink to this heading">¶<
 <dd class="field-even"><p>Single-channel complex-valued enhanced spectrum with dimensions <cite>(…, freq, time)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.MelScale.html b/main/generated/torchaudio.transforms.MelScale.html
index 08a79034e1..745523cf47 100644
--- a/main/generated/torchaudio.transforms.MelScale.html
+++ b/main/generated/torchaudio.transforms.MelScale.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MelScale &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>MelScale &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -475,7 +475,7 @@ <h1>MelScale<a class="headerlink" href="#melscale" title="Permalink to this head
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MelScale.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MelScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MelScale.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MelScale.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MelScale.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>specgram</strong> (<em>Tensor</em>) – A spectrogram STFT of dimension (…, freq, time).</p>
diff --git a/main/generated/torchaudio.transforms.MelSpectrogram.html b/main/generated/torchaudio.transforms.MelSpectrogram.html
index 79cb7896e9..7d89c82e30 100644
--- a/main/generated/torchaudio.transforms.MelSpectrogram.html
+++ b/main/generated/torchaudio.transforms.MelSpectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MelSpectrogram &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>MelSpectrogram &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -504,7 +504,7 @@ <h1>MelSpectrogram<a class="headerlink" href="#melspectrogram" title="Permalink
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MelSpectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MelSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MelSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MelSpectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MelSpectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.MuLawDecoding.html b/main/generated/torchaudio.transforms.MuLawDecoding.html
index e8317272aa..a1032a1ecf 100644
--- a/main/generated/torchaudio.transforms.MuLawDecoding.html
+++ b/main/generated/torchaudio.transforms.MuLawDecoding.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MuLawDecoding &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>MuLawDecoding &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -463,7 +463,7 @@ <h1>MuLawDecoding<a class="headerlink" href="#mulawdecoding" title="Permalink to
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MuLawDecoding.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MuLawDecoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MuLawDecoding.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MuLawDecoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MuLawDecoding.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>x_mu</strong> (<em>Tensor</em>) – A mu-law encoded signal which needs to be decoded.</p>
diff --git a/main/generated/torchaudio.transforms.MuLawEncoding.html b/main/generated/torchaudio.transforms.MuLawEncoding.html
index 598f56b06c..680daa6de3 100644
--- a/main/generated/torchaudio.transforms.MuLawEncoding.html
+++ b/main/generated/torchaudio.transforms.MuLawEncoding.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>MuLawEncoding &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>MuLawEncoding &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -463,7 +463,7 @@ <h1>MuLawEncoding<a class="headerlink" href="#mulawencoding" title="Permalink to
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.MuLawEncoding.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MuLawEncoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MuLawEncoding.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#MuLawEncoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.MuLawEncoding.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>x</strong> (<em>Tensor</em>) – A signal to be encoded.</p>
diff --git a/main/generated/torchaudio.transforms.PSD.html b/main/generated/torchaudio.transforms.PSD.html
index 0869f4f823..24039fa251 100644
--- a/main/generated/torchaudio.transforms.PSD.html
+++ b/main/generated/torchaudio.transforms.PSD.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>PSD &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>PSD &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -461,13 +461,13 @@ <h1>PSD<a class="headerlink" href="#psd" title="Permalink to this heading">¶</a
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.PSD.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#PSD.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.PSD.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#PSD.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.PSD.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite>.</p></li>
-<li><p><strong>mask</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask for normalization.
+<li><p><strong>mask</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Time-Frequency mask for normalization.
 Tensor with dimensions <cite>(…, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">False</span></code> or
 with dimensions <cite>(…, channel, freq, time)</cite> if multi_mask is <code class="docutils literal notranslate"><span class="pre">True</span></code>.
 (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
@@ -481,7 +481,7 @@ <h1>PSD<a class="headerlink" href="#psd" title="Permalink to this heading">¶</a
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.PitchShift.html b/main/generated/torchaudio.transforms.PitchShift.html
index c552d35847..a2a1d8ad93 100644
--- a/main/generated/torchaudio.transforms.PitchShift.html
+++ b/main/generated/torchaudio.transforms.PitchShift.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>PitchShift &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>PitchShift &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -478,7 +478,7 @@ <h1>PitchShift<a class="headerlink" href="#pitchshift" title="Permalink to this
 
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.PitchShift.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#PitchShift.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.PitchShift.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#PitchShift.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.PitchShift.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(…, time)</cite>.</p>
diff --git a/main/generated/torchaudio.transforms.Preemphasis.html b/main/generated/torchaudio.transforms.Preemphasis.html
index 35c4978f43..023f3d5ff8 100644
--- a/main/generated/torchaudio.transforms.Preemphasis.html
+++ b/main/generated/torchaudio.transforms.Preemphasis.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Preemphasis &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Preemphasis &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -453,16 +453,16 @@ <h1>Preemphasis<a class="headerlink" href="#preemphasis" title="Permalink to thi
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Preemphasis.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Preemphasis.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Preemphasis.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Preemphasis.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Preemphasis.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p>
+<dd class="field-odd"><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-even">Returns<span class="colon">:</span></dt>
 <dd class="field-even"><p>Pre-emphasized waveform, with shape <cite>(…, N)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.RNNTLoss.html b/main/generated/torchaudio.transforms.RNNTLoss.html
index e49c1f711b..2c24b2244d 100644
--- a/main/generated/torchaudio.transforms.RNNTLoss.html
+++ b/main/generated/torchaudio.transforms.RNNTLoss.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RNNTLoss &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>RNNTLoss &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -481,7 +481,7 @@ <h1>RNNTLoss<a class="headerlink" href="#rnntloss" title="Permalink to this head
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.RNNTLoss.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">logit_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#RNNTLoss.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.RNNTLoss.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">logit_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#RNNTLoss.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.RNNTLoss.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.transforms.RTFMVDR.html b/main/generated/torchaudio.transforms.RTFMVDR.html
index be00303654..b637d9619a 100644
--- a/main/generated/torchaudio.transforms.RTFMVDR.html
+++ b/main/generated/torchaudio.transforms.RTFMVDR.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>RTFMVDR &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>RTFMVDR &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -470,17 +470,17 @@ <h1>RTFMVDR<a class="headerlink" href="#rtfmvdr" title="Permalink to this headin
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.RTFMVDR.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">rtf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#RTFMVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.RTFMVDR.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">rtf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#RTFMVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.RTFMVDR.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite></p></li>
-<li><p><strong>rtf</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued RTF vector of target speech.
+<li><p><strong>rtf</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued RTF vector of target speech.
 Tensor with dimensions <cite>(…, freq, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -496,7 +496,7 @@ <h1>RTFMVDR<a class="headerlink" href="#rtfmvdr" title="Permalink to this headin
 <dd class="field-even"><p>Single-channel complex-valued enhanced spectrum with dimensions <cite>(…, freq, time)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.Resample.html b/main/generated/torchaudio.transforms.Resample.html
index 22ae04a3ca..5f4119af30 100644
--- a/main/generated/torchaudio.transforms.Resample.html
+++ b/main/generated/torchaudio.transforms.Resample.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Resample &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Resample &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -440,7 +440,7 @@
 <h1>Resample<a class="headerlink" href="#resample" title="Permalink to this heading">¶</a></h1>
 <dl class="py class">
 <dt class="sig sig-object py" id="torchaudio.transforms.Resample">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.transforms.</span></span><span class="sig-name descname"><span class="pre">Resample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resampling_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinc_interp_hann'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lowpass_filter_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rolloff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.4)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Resample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Resample" title="Permalink to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torchaudio.transforms.</span></span><span class="sig-name descname"><span class="pre">Resample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">orig_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_freq</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">16000</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resampling_method</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'sinc_interp_hann'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lowpass_filter_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rolloff</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.99</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.dtype" title="(in PyTorch v2.5)"><span class="pre">dtype</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Resample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Resample" title="Permalink to this definition">¶</a></dt>
 <dd><p>Resample a signal from one frequency to another. A resampling method can be given.</p>
 <a class="reference external image-reference" href="../supported_features.html#devices"><img alt="This feature supports the following devices: CPU, CUDA" class="shield-badge" src="../_images/f04dfdd7619480b49d72cc9f0fb641c626bd3593f7715ed8c58c6f4eb493910b.svg" /></a>
 <a class="reference external image-reference" href="../supported_features.html#properties"><img alt="This API supports the following properties: Autograd, TorchScript" class="shield-badge" src="../_images/842c6e7cf1798066d580c63886e1f8f16beadb856d19a33e879858e991748432.svg" /></a>
@@ -463,7 +463,7 @@ <h1>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 <li><p><strong>rolloff</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em>, </em><em>optional</em>) – The roll-off frequency of the filter, as a fraction of the Nyquist.
 Lower values reduce anti-aliasing, but also reduce some of the highest frequencies. (Default: <code class="docutils literal notranslate"><span class="pre">0.99</span></code>)</p></li>
 <li><p><strong>beta</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – The shape parameter used for kaiser window.</p></li>
-<li><p><strong>dtype</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.4)"><em>torch.device</em></a><em>, </em><em>optional</em>) – Determnines the precision that resampling kernel is pre-computed and cached. If not provided,
+<li><p><strong>dtype</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.5)"><em>torch.device</em></a><em>, </em><em>optional</em>) – Determnines the precision that resampling kernel is pre-computed and cached. If not provided,
 kernel is computed with <code class="docutils literal notranslate"><span class="pre">torch.float64</span></code> then cached as <code class="docutils literal notranslate"><span class="pre">torch.float32</span></code>.
 If you need higher precision, provide <code class="docutils literal notranslate"><span class="pre">torch.float64</span></code>, and the pre-computed kernel is computed and
 cached as <code class="docutils literal notranslate"><span class="pre">torch.float64</span></code>. If you use resample with lower precision, then instead of providing this
@@ -489,7 +489,7 @@ <h1>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Resample.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Resample.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Resample.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Resample.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Resample.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.SlidingWindowCmn.html b/main/generated/torchaudio.transforms.SlidingWindowCmn.html
index 2d9cd83005..21ae296817 100644
--- a/main/generated/torchaudio.transforms.SlidingWindowCmn.html
+++ b/main/generated/torchaudio.transforms.SlidingWindowCmn.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SlidingWindowCmn &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SlidingWindowCmn &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -466,7 +466,7 @@ <h1>SlidingWindowCmn<a class="headerlink" href="#slidingwindowcmn" title="Permal
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.SlidingWindowCmn.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SlidingWindowCmn.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SlidingWindowCmn.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SlidingWindowCmn.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SlidingWindowCmn.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>specgram</strong> (<em>Tensor</em>) – Tensor of spectrogram of dimension <cite>(…, time, freq)</cite>.</p>
diff --git a/main/generated/torchaudio.transforms.SoudenMVDR.html b/main/generated/torchaudio.transforms.SoudenMVDR.html
index c4f60ee12a..3e068877db 100644
--- a/main/generated/torchaudio.transforms.SoudenMVDR.html
+++ b/main/generated/torchaudio.transforms.SoudenMVDR.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SoudenMVDR &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SoudenMVDR &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -469,17 +469,17 @@ <h1>SoudenMVDR<a class="headerlink" href="#soudenmvdr" title="Permalink to this
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.SoudenMVDR.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#SoudenMVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SoudenMVDR.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">specgram</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_s</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">psd_n</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reference_channel</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Union" title="(in Python v3.13)"><span class="pre">Union</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagonal_loading</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diag_eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-07</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_multi_channel.html#SoudenMVDR.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SoudenMVDR.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
+<li><p><strong>specgram</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Multi-channel complex-valued spectrum.
 Tensor with dimensions <cite>(…, channel, freq, time)</cite>.</p></li>
-<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
+<li><p><strong>psd_s</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of target speech.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
+<li><p><strong>psd_n</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – The complex-valued power spectral density (PSD) matrix of noise.
 Tensor with dimensions <cite>(…, freq, channel, channel)</cite>.</p></li>
-<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
+<li><p><strong>reference_channel</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><em>int</em></a><em> or </em><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Specifies the reference channel.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">int</span></code>, it represents the reference channel index.
 If the dtype is <code class="docutils literal notranslate"><span class="pre">torch.Tensor</span></code>, its shape is <cite>(…, channel)</cite>, where the <code class="docutils literal notranslate"><span class="pre">channel</span></code> dimension
 is one-hot.</p></li>
@@ -495,7 +495,7 @@ <h1>SoudenMVDR<a class="headerlink" href="#soudenmvdr" title="Permalink to this
 <dd class="field-even"><p>Single-channel complex-valued enhanced spectrum with dimensions <cite>(…, freq, time)</cite>.</p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a></p>
+<dd class="field-odd"><p><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a></p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.SpectralCentroid.html b/main/generated/torchaudio.transforms.SpectralCentroid.html
index 6919a2fba8..112630ca71 100644
--- a/main/generated/torchaudio.transforms.SpectralCentroid.html
+++ b/main/generated/torchaudio.transforms.SpectralCentroid.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SpectralCentroid &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SpectralCentroid &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -470,7 +470,7 @@ <h1>SpectralCentroid<a class="headerlink" href="#spectralcentroid" title="Permal
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.SpectralCentroid.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SpectralCentroid.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SpectralCentroid.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SpectralCentroid.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SpectralCentroid.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(…, time)</cite>.</p>
diff --git a/main/generated/torchaudio.transforms.Spectrogram.html b/main/generated/torchaudio.transforms.Spectrogram.html
index 00ba284aef..f12b734107 100644
--- a/main/generated/torchaudio.transforms.Spectrogram.html
+++ b/main/generated/torchaudio.transforms.Spectrogram.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Spectrogram &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Spectrogram &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -497,7 +497,7 @@ <h1>Spectrogram<a class="headerlink" href="#spectrogram" title="Permalink to thi
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Spectrogram.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Spectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Spectrogram.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Spectrogram.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Spectrogram.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension (…, time).</p>
diff --git a/main/generated/torchaudio.transforms.Speed.html b/main/generated/torchaudio.transforms.Speed.html
index d0082398e5..bdb3fbb3a9 100644
--- a/main/generated/torchaudio.transforms.Speed.html
+++ b/main/generated/torchaudio.transforms.Speed.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Speed &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Speed &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -455,12 +455,12 @@ <h1>Speed<a class="headerlink" href="#speed" title="Permalink to this heading">
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Speed.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Speed.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Speed.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Speed.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Speed.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
 If <code class="docutils literal notranslate"><span class="pre">None</span></code>, all elements in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> are treated as valid. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
@@ -475,7 +475,7 @@ <h1>Speed<a class="headerlink" href="#speed" title="Permalink to this heading">
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a> or None)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a> or None)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.SpeedPerturbation.html b/main/generated/torchaudio.transforms.SpeedPerturbation.html
index 3060446603..8e8a52a498 100644
--- a/main/generated/torchaudio.transforms.SpeedPerturbation.html
+++ b/main/generated/torchaudio.transforms.SpeedPerturbation.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>SpeedPerturbation &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>SpeedPerturbation &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -467,12 +467,12 @@ <h1>SpeedPerturbation<a class="headerlink" href="#speedperturbation" title="Perm
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.SpeedPerturbation.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SpeedPerturbation.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SpeedPerturbation.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">lengths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#SpeedPerturbation.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.SpeedPerturbation.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
-<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
-<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
+<li><p><strong>waveform</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a>) – Input signals, with shape <cite>(…, time)</cite>.</p></li>
+<li><p><strong>lengths</strong> (<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><em>torch.Tensor</em></a><em> or </em><em>None</em><em>, </em><em>optional</em>) – Valid lengths of signals in <code class="docutils literal notranslate"><span class="pre">waveform</span></code>, with shape <cite>(…)</cite>.
 If <code class="docutils literal notranslate"><span class="pre">None</span></code>, all elements in <code class="docutils literal notranslate"><span class="pre">waveform</span></code> are treated as valid. (Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>)</p></li>
 </ul>
 </dd>
@@ -487,7 +487,7 @@ <h1>SpeedPerturbation<a class="headerlink" href="#speedperturbation" title="Perm
 </p>
 </dd>
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)">torch.Tensor</a> or None)</p>
+<dd class="field-odd"><p>(<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a>, <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)">torch.Tensor</a> or None)</p>
 </dd>
 </dl>
 </dd></dl>
diff --git a/main/generated/torchaudio.transforms.TimeMasking.html b/main/generated/torchaudio.transforms.TimeMasking.html
index 29e8cea4d9..734432d0e0 100644
--- a/main/generated/torchaudio.transforms.TimeMasking.html
+++ b/main/generated/torchaudio.transforms.TimeMasking.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TimeMasking &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>TimeMasking &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.transforms.TimeStretch.html b/main/generated/torchaudio.transforms.TimeStretch.html
index 42a67bc600..f58d3d219c 100644
--- a/main/generated/torchaudio.transforms.TimeStretch.html
+++ b/main/generated/torchaudio.transforms.TimeStretch.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>TimeStretch &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>TimeStretch &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -478,7 +478,7 @@ <h1>TimeStretch<a class="headerlink" href="#timestretch" title="Permalink to thi
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.TimeStretch.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">complex_specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">overriding_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#TimeStretch.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.TimeStretch.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">complex_specgrams</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">overriding_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#TimeStretch.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.TimeStretch.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/main/generated/torchaudio.transforms.Vad.html b/main/generated/torchaudio.transforms.Vad.html
index 8ab1f66d9a..3306d399a7 100644
--- a/main/generated/torchaudio.transforms.Vad.html
+++ b/main/generated/torchaudio.transforms.Vad.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Vad &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Vad &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -500,7 +500,7 @@ <h1>Vad<a class="headerlink" href="#vad" title="Permalink to this heading">¶</a
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Vad.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Vad.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Vad.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Vad.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Vad.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(channels, time)</cite> or <cite>(time)</cite>
diff --git a/main/generated/torchaudio.transforms.Vol.html b/main/generated/torchaudio.transforms.Vol.html
index 98b22822e5..9daaa38b31 100644
--- a/main/generated/torchaudio.transforms.Vol.html
+++ b/main/generated/torchaudio.transforms.Vol.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Vol &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Vol &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -465,7 +465,7 @@ <h1>Vol<a class="headerlink" href="#vol" title="Permalink to this heading">¶</a
 </dl>
 <dl class="py method">
 <dt class="sig sig-object py" id="torchaudio.transforms.Vol.forward">
-<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Vol.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Vol.forward" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">waveform</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></span><a class="reference internal" href="../_modules/torchaudio/transforms/_transforms.html#Vol.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.transforms.Vol.forward" title="Permalink to this definition">¶</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><p><strong>waveform</strong> (<em>Tensor</em>) – Tensor of audio of dimension <cite>(…, time)</cite>.</p>
diff --git a/main/generated/torchaudio.utils.ffmpeg_utils.html b/main/generated/torchaudio.utils.ffmpeg_utils.html
index b2aa716a8d..38531371b5 100644
--- a/main/generated/torchaudio.utils.ffmpeg_utils.html
+++ b/main/generated/torchaudio.utils.ffmpeg_utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ffmpeg_utils &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ffmpeg_utils &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torchaudio.utils.sox_utils.html b/main/generated/torchaudio.utils.sox_utils.html
index ba2523edd8..48c848ec2d 100644
--- a/main/generated/torchaudio.utils.sox_utils.html
+++ b/main/generated/torchaudio.utils.sox_utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>sox_utils &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>sox_utils &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/generated/torio.io.StreamingMediaDecoder.html b/main/generated/torio.io.StreamingMediaDecoder.html
index d012d4f705..1f11a21698 100644
--- a/main/generated/torio.io.StreamingMediaDecoder.html
+++ b/main/generated/torio.io.StreamingMediaDecoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamingMediaDecoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>StreamingMediaDecoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -1184,10 +1184,10 @@ <h3>ChunkTensor<a class="headerlink" href="#chunktensor" title="Permalink to thi
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torio.io._streaming_media_decoder.</span></span><span class="sig-name descname"><span class="pre">ChunkTensor</span></span><a class="reference internal" href="../_modules/torio/io/_streaming_media_decoder.html#ChunkTensor"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io._streaming_media_decoder.ChunkTensor" title="Permalink to this definition">¶</a></dt>
 <dd><p>Decoded media frames with metadata.</p>
 <p>The instance of this class represents the decoded video/audio frames with
-metadata, and the instance itself behave like <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>.</p>
+metadata, and the instance itself behave like <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a>.</p>
 <p>Client codes can pass instance of this class as-if it’s
-<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a> class, or call the methods defined on
-<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a> class.</p>
+<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a> class, or call the methods defined on
+<a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tensor</span></code></a> class.</p>
 <p class="rubric">Example</p>
 <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># Define input streams</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">reader</span> <span class="o">=</span> <span class="n">StreamingMediaDecoder</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
diff --git a/main/generated/torio.io.StreamingMediaEncoder.html b/main/generated/torio.io.StreamingMediaEncoder.html
index ebcd019861..e65faccaa1 100644
--- a/main/generated/torio.io.StreamingMediaEncoder.html
+++ b/main/generated/torio.io.StreamingMediaEncoder.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamingMediaEncoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>StreamingMediaEncoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -812,7 +812,7 @@ <h3>write_audio_chunk<a class="headerlink" href="#write-audio-chunk" title="Perm
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torio.io.StreamingMediaEncoder.write_audio_chunk">
-<span class="sig-prename descclassname"><span class="pre">StreamingMediaEncoder.</span></span><span class="sig-name descname"><span class="pre">write_audio_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torio/io/_streaming_media_encoder.html#StreamingMediaEncoder.write_audio_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io.StreamingMediaEncoder.write_audio_chunk" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">StreamingMediaEncoder.</span></span><span class="sig-name descname"><span class="pre">write_audio_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torio/io/_streaming_media_encoder.html#StreamingMediaEncoder.write_audio_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io.StreamingMediaEncoder.write_audio_chunk" title="Permalink to this definition">¶</a></dt>
 <dd><p>Write audio data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -840,7 +840,7 @@ <h3>write_video_chunk<a class="headerlink" href="#write-video-chunk" title="Perm
 <div class="py attribute docutils container">
 <dl class="py method">
 <dt class="sig sig-object py" id="torio.io.StreamingMediaEncoder.write_video_chunk">
-<span class="sig-prename descclassname"><span class="pre">StreamingMediaEncoder.</span></span><span class="sig-name descname"><span class="pre">write_video_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torio/io/_streaming_media_encoder.html#StreamingMediaEncoder.write_video_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io.StreamingMediaEncoder.write_video_chunk" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">StreamingMediaEncoder.</span></span><span class="sig-name descname"><span class="pre">write_video_chunk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">i</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.13)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">chunk</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">pts</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.13)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torio/io/_streaming_media_encoder.html#StreamingMediaEncoder.write_video_chunk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torio.io.StreamingMediaEncoder.write_video_chunk" title="Permalink to this definition">¶</a></dt>
 <dd><p>Write video/image data</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/generated/torio.utils.ffmpeg_utils.html b/main/generated/torio.utils.ffmpeg_utils.html
index 62cde3f311..cdb74c08ce 100644
--- a/main/generated/torio.utils.ffmpeg_utils.html
+++ b/main/generated/torio.utils.ffmpeg_utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ffmpeg_utils &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ffmpeg_utils &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/genindex.html b/main/genindex.html
index 0324dabfc0..0bfb550a23 100644
--- a/main/genindex.html
+++ b/main/genindex.html
@@ -9,7 +9,7 @@
   
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Index &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Index &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -221,7 +221,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -1796,6 +1796,8 @@ <h2 id="T">T</h2>
         <li><a href="prototype.functional.html#module-torchaudio.prototype.functional">module</a>
 </li>
       </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
       <li>
     torchaudio.prototype.models
 
@@ -1880,125 +1882,29 @@ <h2 id="T">T</h2>
         <li><a href="generated/torio.utils.ffmpeg_utils.html#module-torio.utils.ffmpeg_utils">module</a>
 </li>
       </ul></li>
-  </ul></td>
-  <td style="width: 33%; vertical-align: top;"><ul>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io5ChunkE">torio::io::Chunk (C++ struct)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io5Chunk6framesE">torio::io::Chunk::frames (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io5Chunk3ptsE">torio::io::Chunk::pts (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfoE">torio::io::OutputStreamInfo (C++ struct)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo18filter_descriptionE">torio::io::OutputStreamInfo::filter_description (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo6formatE">torio::io::OutputStreamInfo::format (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo10frame_rateE">torio::io::OutputStreamInfo::frame_rate (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo6heightE">torio::io::OutputStreamInfo::height (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo10media_typeE">torio::io::OutputStreamInfo::media_type (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo12num_channelsE">torio::io::OutputStreamInfo::num_channels (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo11sample_rateE">torio::io::OutputStreamInfo::sample_rate (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo12source_indexE">torio::io::OutputStreamInfo::source_index (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io16OutputStreamInfo5widthE">torio::io::OutputStreamInfo::width (C++ member)</a>
-</li>
       <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfoE">torio::io::SrcStreamInfo (C++ struct)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo8bit_rateE">torio::io::SrcStreamInfo::bit_rate (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo15bits_per_sampleE">torio::io::SrcStreamInfo::bits_per_sample (C++ member)</a>
 </li>
       <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo15codec_long_nameE">torio::io::SrcStreamInfo::codec_long_name (C++ member)</a>
 </li>
       <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo10codec_nameE">torio::io::SrcStreamInfo::codec_name (C++ member)</a>
 </li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo8fmt_nameE">torio::io::SrcStreamInfo::fmt_name (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo10frame_rateE">torio::io::SrcStreamInfo::frame_rate (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo6heightE">torio::io::SrcStreamInfo::height (C++ member)</a>
+      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo6framesE">torio::io::SrcStreamInfo::frames (C++ member)</a>
 </li>
       <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo10media_typeE">torio::io::SrcStreamInfo::media_type (C++ member)</a>
 </li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo8metadataE">torio::io::SrcStreamInfo::metadata (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo12num_channelsE">torio::io::SrcStreamInfo::num_channels (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo10num_framesE">torio::io::SrcStreamInfo::num_frames (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo11sample_rateE">torio::io::SrcStreamInfo::sample_rate (C++ member)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo5widthE">torio::io::SrcStreamInfo::width (C++ member)</a>
+      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io13SrcStreamInfo3ptsE">torio::io::SrcStreamInfo::pts (C++ member)</a>
 </li>
       <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoderE">torio::io::StreamingMediaDecoder (C++ class)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder16add_audio_streamE7int64_t7int64_t7int64_tRKNSt8optionalINSt6stringEEERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEE">torio::io::StreamingMediaDecoder::add_audio_stream (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder16add_video_streamE7int64_t7int64_t7int64_tRKNSt8optionalINSt6stringEEERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEE">torio::io::StreamingMediaDecoder::add_video_stream (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder11fill_bufferERKNSt8optionalIdEEKd">torio::io::StreamingMediaDecoder::fill_buffer (C++ function)</a>
 </li>
       <li><a href="libtorio.stream_reader.html#_CPPv4NK5torio2io21StreamingMediaDecoder22find_best_audio_streamEv">torio::io::StreamingMediaDecoder::find_best_audio_stream (C++ function)</a>
 </li>
       <li><a href="libtorio.stream_reader.html#_CPPv4NK5torio2io21StreamingMediaDecoder22find_best_video_streamEv">torio::io::StreamingMediaDecoder::find_best_video_stream (C++ function)</a>
 </li>
       <li><a href="libtorio.stream_reader.html#_CPPv4NK5torio2io21StreamingMediaDecoder12get_metadataEv">torio::io::StreamingMediaDecoder::get_metadata (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4NK5torio2io21StreamingMediaDecoder19get_out_stream_infoEi">torio::io::StreamingMediaDecoder::get_out_stream_info (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4NK5torio2io21StreamingMediaDecoder19get_src_stream_infoEi">torio::io::StreamingMediaDecoder::get_src_stream_info (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4NK5torio2io21StreamingMediaDecoder15is_buffer_readyEv">torio::io::StreamingMediaDecoder::is_buffer_ready (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4NK5torio2io21StreamingMediaDecoder15num_out_streamsEv">torio::io::StreamingMediaDecoder::num_out_streams (C++ function)</a>
 </li>
       <li><a href="libtorio.stream_reader.html#_CPPv4NK5torio2io21StreamingMediaDecoder15num_src_streamsEv">torio::io::StreamingMediaDecoder::num_src_streams (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder10pop_chunksEv">torio::io::StreamingMediaDecoder::pop_chunks (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder19process_all_packetsEv">torio::io::StreamingMediaDecoder::process_all_packets (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder14process_packetEv">torio::io::StreamingMediaDecoder::process_packet (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder20process_packet_blockEKdKd">torio::io::StreamingMediaDecoder::process_packet_block (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder13remove_streamE7int64_t">torio::io::StreamingMediaDecoder::remove_stream (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io21StreamingMediaDecoder4seekEd7int64_t">torio::io::StreamingMediaDecoder::seek (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io29StreamingMediaDecoderCustomIOE">torio::io::StreamingMediaDecoderCustomIO (C++ class)</a>
-</li>
-      <li><a href="libtorio.stream_reader.html#_CPPv4N5torio2io29StreamingMediaDecoderCustomIO29StreamingMediaDecoderCustomIOEPvRKNSt8optionalINSt6stringEEEiPFiPvP7uint8_tiEPF7int64_tPv7int64_tiERKNSt8optionalI10OptionDictEE">torio::io::StreamingMediaDecoderCustomIO::StreamingMediaDecoderCustomIO (C++ function)</a>
 </li>
       <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoderE">torio::io::StreamingMediaEncoder (C++ class)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder16add_audio_streamEiiRKNSt6stringERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEERKNSt8optionalIiEERKNSt8optionalIiEERKNSt8optionalI11CodecConfigEERKNSt8optionalINSt6stringEEE">torio::io::StreamingMediaEncoder::add_audio_stream (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder16add_video_streamEdiiRKNSt6stringERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEERKNSt8optionalIdEERKNSt8optionalIiEERKNSt8optionalIiEERKNSt8optionalINSt6stringEEERKNSt8optionalI11CodecConfigEERKNSt8optionalINSt6stringEEE">torio::io::StreamingMediaEncoder::add_video_stream (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder5closeEv">torio::io::StreamingMediaEncoder::close (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder5flushEv">torio::io::StreamingMediaEncoder::flush (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder4openERKNSt8optionalI10OptionDictEE">torio::io::StreamingMediaEncoder::open (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder12set_metadataERK10OptionDict">torio::io::StreamingMediaEncoder::set_metadata (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder21StreamingMediaEncoderERKNSt6stringERKNSt8optionalINSt6stringEEE">torio::io::StreamingMediaEncoder::StreamingMediaEncoder (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder17write_audio_chunkEiRKN5torch6TensorERKNSt8optionalIdEE">torio::io::StreamingMediaEncoder::write_audio_chunk (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io21StreamingMediaEncoder17write_video_chunkEiRKN5torch6TensorERKNSt8optionalIdEE">torio::io::StreamingMediaEncoder::write_video_chunk (C++ function)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io29StreamingMediaEncoderCustomIOE">torio::io::StreamingMediaEncoderCustomIO (C++ class)</a>
-</li>
-      <li><a href="libtorio.stream_writer.html#_CPPv4N5torio2io29StreamingMediaEncoderCustomIO29StreamingMediaEncoderCustomIOEPvRKNSt8optionalINSt6stringEEEiPFiPvP7uint8_tiEPF7int64_tPv7int64_tiE">torio::io::StreamingMediaEncoderCustomIO::StreamingMediaEncoderCustomIO (C++ function)</a>
 </li>
       <li><a href="generated/torchaudio.models.RNNT.html#torchaudio.models.RNNT.transcribe">transcribe() (torchaudio.models.RNNT method)</a>
 </li>
diff --git a/main/index.html b/main/index.html
index ef5ff2ae48..0d0bb71c5c 100644
--- a/main/index.html
+++ b/main/index.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Torchaudio Documentation &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Torchaudio Documentation &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -223,7 +223,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/installation.html b/main/installation.html
index 0f5b1d50eb..67e51223ac 100644
--- a/main/installation.html
+++ b/main/installation.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Installing pre-built binaries &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Installing pre-built binaries &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/io.html b/main/io.html
index 12881c04bf..51b988b39d 100644
--- a/main/io.html
+++ b/main/io.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.io &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.io &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/kaldi_io.html b/main/kaldi_io.html
index 54d77bad75..fc07adb44d 100644
--- a/main/kaldi_io.html
+++ b/main/kaldi_io.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.kaldi_io &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.kaldi_io &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -437,14 +437,14 @@
   <section id="module-torchaudio.kaldi_io">
 <span id="torchaudio-kaldi-io"></span><h1>torchaudio.kaldi_io<a class="headerlink" href="#module-torchaudio.kaldi_io" title="Permalink to this heading">¶</a></h1>
 <p>To use this module, the dependency <a class="reference external" href="https://github.com/vesis84/kaldi-io-for-python">kaldi_io</a> needs to be installed.
-This is a light wrapper around <code class="docutils literal notranslate"><span class="pre">kaldi_io</span></code> that returns <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Tensor</span></code></a>.</p>
+This is a light wrapper around <code class="docutils literal notranslate"><span class="pre">kaldi_io</span></code> that returns <a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.Tensor</span></code></a>.</p>
 <section id="vectors">
 <h2>Vectors<a class="headerlink" href="#vectors" title="Permalink to this heading">¶</a></h2>
 <section id="read-vec-int-ark">
 <h3><span class="hidden-section">read_vec_int_ark</span><a class="headerlink" href="#read-vec-int-ark" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_vec_int_ark">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_int_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_int_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_int_ark" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_int_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_int_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_int_ark" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,vector&lt;int&gt;) tuples, which reads from the ark file/stream.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -471,7 +471,7 @@ <h3><span class="hidden-section">read_vec_int_ark</span><a class="headerlink" hr
 <h3><span class="hidden-section">read_vec_flt_scp</span><a class="headerlink" href="#read-vec-flt-scp" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_vec_flt_scp">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_flt_scp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_flt_scp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_flt_scp" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_flt_scp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_flt_scp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_flt_scp" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,vector&lt;float32/float64&gt;) tuples, read according to Kaldi scp.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -498,7 +498,7 @@ <h3><span class="hidden-section">read_vec_flt_scp</span><a class="headerlink" hr
 <h3><span class="hidden-section">read_vec_flt_ark</span><a class="headerlink" href="#read-vec-flt-ark" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_vec_flt_ark">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_flt_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_flt_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_flt_ark" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_vec_flt_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_vec_flt_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_vec_flt_ark" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,vector&lt;float32/float64&gt;) tuples, which reads from the ark file/stream.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -528,7 +528,7 @@ <h2>Matrices<a class="headerlink" href="#matrices" title="Permalink to this head
 <h3><span class="hidden-section">read_mat_scp</span><a class="headerlink" href="#read-mat-scp" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_mat_scp">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_mat_scp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_mat_scp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_mat_scp" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_mat_scp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_mat_scp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_mat_scp" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,matrix&lt;float32/float64&gt;) tuples, read according to Kaldi scp.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
@@ -555,7 +555,7 @@ <h3><span class="hidden-section">read_mat_scp</span><a class="headerlink" href="
 <h3><span class="hidden-section">read_mat_ark</span><a class="headerlink" href="#read-mat-ark" title="Permalink to this heading">¶</a></h3>
 <dl class="py function">
 <dt class="sig sig-object py" id="torchaudio.kaldi_io.read_mat_ark">
-<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_mat_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.4)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_mat_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_mat_ark" title="Permalink to this definition">¶</a></dt>
+<span class="sig-prename descclassname"><span class="pre">torchaudio.kaldi_io.</span></span><span class="sig-name descname"><span class="pre">read_mat_ark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_or_fd</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Iterable" title="(in Python v3.13)"><span class="pre">Iterable</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="(in Python v3.13)"><span class="pre">Tuple</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="(in PyTorch v2.5)"><span class="pre">Tensor</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/torchaudio/kaldi_io.html#read_mat_ark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torchaudio.kaldi_io.read_mat_ark" title="Permalink to this definition">¶</a></dt>
 <dd><p>Create generator of (key,matrix&lt;float32/float64&gt;) tuples, which reads from the ark file/stream.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
diff --git a/main/libtorio.html b/main/libtorio.html
index 3681ba02cd..2aa740ed15 100644
--- a/main/libtorio.html
+++ b/main/libtorio.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>libtorio &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>libtorio &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
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-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/libtorio.stream_reader.html b/main/libtorio.stream_reader.html
index a71cf69cee..7dfcbb2b11 100644
--- a/main/libtorio.stream_reader.html
+++ b/main/libtorio.stream_reader.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio::io::StreamingMediaDecoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torio::io::StreamingMediaDecoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -459,7 +459,14 @@ <h3>StreamingMediaDecoder<a class="headerlink" href="#streamingmediadecoder" tit
 <dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoderE">
 <span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder"></span><span class="k"><span class="pre">class</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="Permalink to this definition">¶</a><br /></dt>
 <dd><p>Fetch and decode audio/video streams chunk by chunk. </p>
-<p>Subclassed by <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoderCustomIO"><span class="std std-ref">torio::io::StreamingMediaDecoderCustomIO</span></a></p>
+<div class="breathe-sectiondef docutils container">
+<p class="breathe-sectiondef-title rubric" id="breathe-section-title-unnamed-group">Unnamed Group</p>
+<p>private: int drain();</p>
+<p>//////////////////////////////////////////////////////////////////////////// Retrieval //////////////////////////////////////////////////////////////////////////// public: / /</p>
+<p>/ Pop one chunk from each output stream if it is available. std::vector&lt;std::optional&lt;Chunk&gt;&gt; pop_chunks();</p>
+<p>/</p>
+<p>/ </p>
+</div>
 </dd></dl>
 
 <div class="admonition warning">
@@ -467,37 +474,21 @@ <h3>StreamingMediaDecoder<a class="headerlink" href="#streamingmediadecoder" tit
 <p>doxygenfunction: Unable to resolve function “torio::io::StreamingMediaDecoder::StreamingMediaDecoder” with arguments (const std::string&amp;, const std::optional&lt;std::string&gt;&amp;, const c10::optional&lt;OptionDict&gt;&amp;) in doxygen xml output for project “libtorio” from directory: cpp/xml.
 Potential matches:
 </p>
-<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">-</span> <span class="n">StreamingMediaDecoder</span><span class="p">(</span><span class="n">const</span> <span class="n">std</span><span class="p">::</span><span class="n">string</span> <span class="o">&amp;</span><span class="n">src</span><span class="p">,</span> <span class="n">const</span> <span class="n">std</span><span class="p">::</span><span class="n">optional</span><span class="o">&lt;</span><span class="n">std</span><span class="p">::</span><span class="n">string</span><span class="o">&gt;</span> <span class="o">&amp;</span><span class="nb">format</span> <span class="o">=</span> <span class="n">c10</span><span class="p">::</span><span class="n">nullopt</span><span class="p">,</span> <span class="n">const</span> <span class="n">std</span><span class="p">::</span><span class="n">optional</span><span class="o">&lt;</span><span class="n">OptionDict</span><span class="o">&gt;</span> <span class="o">&amp;</span><span class="n">option</span> <span class="o">=</span> <span class="n">c10</span><span class="p">::</span><span class="n">nullopt</span><span class="p">)</span>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">-</span> <span class="n">StreamingMediaDecoder</span><span class="p">(</span><span class="n">const</span> <span class="n">std</span><span class="p">::</span><span class="n">string</span> <span class="o">&amp;</span><span class="n">src</span><span class="p">,</span> <span class="n">const</span> <span class="n">std</span><span class="p">::</span><span class="n">optional</span><span class="o">&lt;</span><span class="n">std</span><span class="p">::</span><span class="n">string</span><span class="o">&gt;</span> <span class="o">&amp;</span><span class="nb">format</span> <span class="o">=</span> <span class="n">std</span><span class="p">::</span><span class="n">nullopt</span><span class="p">,</span> <span class="n">const</span> <span class="n">std</span><span class="p">::</span><span class="n">optional</span><span class="o">&lt;</span><span class="n">OptionDict</span><span class="o">&gt;</span> <span class="o">&amp;</span><span class="n">option</span> <span class="o">=</span> <span class="n">std</span><span class="p">::</span><span class="n">nullopt</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
 </section>
 <section id="streamingmediadecodercustomio">
 <h3>StreamingMediaDecoderCustomIO<a class="headerlink" href="#streamingmediadecodercustomio" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp class">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io29StreamingMediaDecoderCustomIOE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoderCustomIO"></span><span class="k"><span class="pre">class</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">StreamingMediaDecoderCustomIO</span></span></span><span class="w"> </span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="k"><span class="pre">private</span></span><span class="w"> </span><span class="n"><span class="pre">detail</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">CustomInput</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="k"><span class="pre">public</span></span><span class="w"> </span><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><a class="headerlink" href="#_CPPv4N5torio2io29StreamingMediaDecoderCustomIOE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>A subclass of <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder"><span class="std std-ref">StreamingMediaDecoder</span></a> which works with custom read function. Can be used for decoding media from memory or custom object. </p>
-</dd></dl>
-
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io29StreamingMediaDecoderCustomIO29StreamingMediaDecoderCustomIOEPvRKNSt8optionalINSt6stringEEEiPFiPvP7uint8_tiEPF7int64_tPv7int64_tiERKNSt8optionalI10OptionDictEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoderCustomIO_1a202cf89aab3628148e72a804f13e90f4"></span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io29StreamingMediaDecoderCustomIOE" title="torio::io::StreamingMediaDecoderCustomIO"><span class="n"><span class="pre">StreamingMediaDecoderCustomIO</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">StreamingMediaDecoderCustomIO</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">opaque</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">format</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">buffer_size</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="p"><span class="pre">(</span></span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">read_packet</span></span><span class="p"><span class="pre">)</span></span><span class="p"><span class="pre">(</span></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">opaque</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">uint8_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">buf</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">buf_size</span></span><span class="p"><span class="pre">)</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">(</span></span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">seek</span></span><span class="p"><span class="pre">)</span></span><span class="p"><span class="pre">(</span></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">opaque</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n"><span class="pre">offset</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">whence</span></span><span class="p"><span class="pre">)</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">nullptr</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">OptionDict</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">option</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io29StreamingMediaDecoderCustomIO29StreamingMediaDecoderCustomIOEPvRKNSt8optionalINSt6stringEEEiPFiPvP7uint8_tiEPF7int64_tPv7int64_tiERKNSt8optionalI10OptionDictEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Construct <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder"><span class="std std-ref">StreamingMediaDecoder</span></a> with custom read and seek functions.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>opaque</strong> – Custom data used by <code class="docutils literal notranslate"><span class="pre">read_packet</span></code> and <code class="docutils literal notranslate"><span class="pre">seek</span></code> functions. </p></li>
-<li><p><strong>format</strong> – Specify input format. </p></li>
-<li><p><strong>buffer_size</strong> – The size of the intermediate buffer, which FFmpeg uses to pass data to function read_packet. </p></li>
-<li><p><strong>read_packet</strong> – Custom read function that is called from FFmpeg to read data from the destination. </p></li>
-<li><p><strong>seek</strong> – Optional seek function that is used to seek the destination. </p></li>
-<li><p><strong>option</strong> – Custom option passed when initializing format context. </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenclass: Cannot find class “torio::io::StreamingMediaDecoderCustomIO” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoderCustomIO::StreamingMediaDecoderCustomIO” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 </section>
 <section id="query-methods">
@@ -543,216 +534,103 @@ <h3>num_src_streams<a class="headerlink" href="#num-src-streams" title="Permalin
 </section>
 <section id="get-src-stream-info">
 <h3>get_src_stream_info<a class="headerlink" href="#get-src-stream-info" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4NK5torio2io21StreamingMediaDecoder19get_src_stream_infoEi">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1a2949d852664329f6cdc84122ae04c3c3"></span><a class="reference internal" href="#_CPPv4N5torio2io13SrcStreamInfoE" title="torio::io::SrcStreamInfo"><span class="n"><span class="pre">SrcStreamInfo</span></span></a><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">get_src_stream_info</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">i</span></span><span class="sig-paren">)</span><span class="w"> </span><span class="k"><span class="pre">const</span></span><a class="headerlink" href="#_CPPv4NK5torio2io21StreamingMediaDecoder19get_src_stream_infoEi" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Fetch information about the specified source stream.</p>
-<p>The valid value range is <code class="docutils literal notranslate"><span class="pre">[0,</span> <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder_1a6b3e5fd480cc50ee5ec9b389641c4512"><span class="std std-ref"><span class="pre">num_src_streams()</span></span></a><span class="pre">)</span></code>. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::get_src_stream_info” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="num-out-streams">
 <h3>num_out_streams<a class="headerlink" href="#num-out-streams" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4NK5torio2io21StreamingMediaDecoder15num_out_streamsEv">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1a2675b80361ce5ac9da29bb63105f1135"></span><span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">num_out_streams</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><span class="w"> </span><span class="k"><span class="pre">const</span></span><a class="headerlink" href="#_CPPv4NK5torio2io21StreamingMediaDecoder15num_out_streamsEv" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Fetch the number of output streams defined by client code. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::num_out_streams” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="get-out-stream-info">
 <h3>get_out_stream_info<a class="headerlink" href="#get-out-stream-info" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4NK5torio2io21StreamingMediaDecoder19get_out_stream_infoEi">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1a6901f6138d5bc2c7dc0e2919960aa378"></span><a class="reference internal" href="#_CPPv4N5torio2io16OutputStreamInfoE" title="torio::io::OutputStreamInfo"><span class="n"><span class="pre">OutputStreamInfo</span></span></a><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">get_out_stream_info</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">i</span></span><span class="sig-paren">)</span><span class="w"> </span><span class="k"><span class="pre">const</span></span><a class="headerlink" href="#_CPPv4NK5torio2io21StreamingMediaDecoder19get_out_stream_infoEi" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Fetch information about the specified output stream.</p>
-<p>The valid value range is <code class="docutils literal notranslate"><span class="pre">[0,</span> <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder_1a2675b80361ce5ac9da29bb63105f1135"><span class="std std-ref"><span class="pre">num_out_streams()</span></span></a><span class="pre">)</span></code>. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::get_out_stream_info” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="is-buffer-ready">
 <h3>is_buffer_ready<a class="headerlink" href="#is-buffer-ready" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4NK5torio2io21StreamingMediaDecoder15is_buffer_readyEv">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1a69a405cbf490b82bc23e7d8dae9991a7"></span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">is_buffer_ready</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><span class="w"> </span><span class="k"><span class="pre">const</span></span><a class="headerlink" href="#_CPPv4NK5torio2io21StreamingMediaDecoder15is_buffer_readyEv" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Check if all the buffers of the output streams have enough decoded frames. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::is_buffer_ready” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 </section>
 <section id="configure-methods">
 <h2>Configure Methods<a class="headerlink" href="#configure-methods" title="Permalink to this heading">¶</a></h2>
 <section id="add-audio-stream">
 <h3>add_audio_stream<a class="headerlink" href="#add-audio-stream" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder16add_audio_streamE7int64_t7int64_t7int64_tRKNSt8optionalINSt6stringEEERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1a4dbd058266fd2876508d87ec98adb978"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">add_audio_stream</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">i</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">frames_per_chunk</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">num_chunks</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">filter_desc</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">decoder</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">OptionDict</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">decoder_option</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder16add_audio_streamE7int64_t7int64_t7int64_tRKNSt8optionalINSt6stringEEERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Define an output audio stream.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>i</strong> – The index of the source stream.</p></li>
-<li><p><strong>frames_per_chunk</strong> – Number of frames returned as one chunk. <p>If a source stream is exhausted before <code class="docutils literal notranslate"><span class="pre">frames_per_chunk</span></code> frames are buffered, the chunk is returned as-is. Thus the number of frames in the chunk may be smaller than ``<code class="docutils literal notranslate"><span class="pre">frames_per_chunk</span></code>.</p>
-<p>Providing <code class="docutils literal notranslate"><span class="pre">-1</span></code> disables chunking, in which case, method <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder_1af443fa8e8ac186ac4404d81ea3bec59c"><span class="std std-ref"><span class="pre">pop_chunks()</span></span></a></code> returns all the buffered frames as one chunk. </p>
-</p></li>
-<li><p><strong>num_chunks</strong> – Internal buffer size. <p>When the number of buffered chunks exceeds this number, old chunks are dropped. For example, if <code class="docutils literal notranslate"><span class="pre">frames_per_chunk</span></code> is 5 and <code class="docutils literal notranslate"><span class="pre">buffer_chunk_size</span></code> is 3, then frames older than 15 are dropped.</p>
-<p>Providing <code class="docutils literal notranslate"><span class="pre">-1</span></code> disables this behavior, forcing the retention of all chunks. </p>
-</p></li>
-<li><p><strong>filter_desc</strong> – Description of filter graph applied to the source stream.</p></li>
-<li><p><strong>decoder</strong> – The name of the decoder to be used. When provided, use the specified decoder instead of the default one.</p></li>
-<li><p><strong>decoder_option</strong> – Options passed to decoder. <p>To list decoder options for a decoder, you can use <code class="docutils literal notranslate"><span class="pre">ffmpeg</span> <span class="pre">-h</span> <span class="pre">decoder=&lt;DECODER&gt;</span></code> command.</p>
-<p>In addition to decoder-specific options, you can also pass options related to multithreading. They are effective only if the decoder supports them. If neither of them are provided, <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder"><span class="std std-ref">StreamingMediaDecoder</span></a> defaults to single thread.<ul>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;threads&quot;</span></code>: The number of threads or the value <code class="docutils literal notranslate"><span class="pre">&quot;0&quot;</span></code> to let FFmpeg decide based on its heuristics.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;thread_type&quot;</span></code>: Which multithreading method to use. The valid values are <code class="docutils literal notranslate"><span class="pre">&quot;frame&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;slice&quot;</span></code>. Note that each decoder supports a different set of methods. If not provided, a default value is used.<ul>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;frame&quot;</span></code>: Decode more than one frame at once. Each thread handles one frame. This will increase decoding delay by one frame per thread</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;slice&quot;</span></code>: Decode more than one part of a single frame at once. </p></li>
-</ul>
-</p></li>
-</ul>
-</p>
-</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::add_audio_stream” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="add-video-stream">
 <h3>add_video_stream<a class="headerlink" href="#add-video-stream" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder16add_video_streamE7int64_t7int64_t7int64_tRKNSt8optionalINSt6stringEEERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1ae41fbb0c7e92538ba68557a815e09b15"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">add_video_stream</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">i</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">frames_per_chunk</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">num_chunks</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">filter_desc</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">decoder</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">OptionDict</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">decoder_option</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">hw_accel</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder16add_video_streamE7int64_t7int64_t7int64_tRKNSt8optionalINSt6stringEEERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Define an output video stream.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>i, frames_per_chunk, num_chunks, filter_desc, decoder, decoder_option</strong> – See <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder_1a4dbd058266fd2876508d87ec98adb978"><span class="std std-ref"><span class="pre">add_audio_stream()</span></span></a></code>.</p></li>
-<li><p><strong>hw_accel</strong> – Enable hardware acceleration. <p>When video is decoded on CUDA hardware, (for example by specifying <code class="docutils literal notranslate"><span class="pre">&quot;h264_cuvid&quot;</span></code> decoder), passing CUDA device indicator to <code class="docutils literal notranslate"><span class="pre">hw_accel</span></code> (i.e. <code class="docutils literal notranslate"><span class="pre">hw_accel=&quot;cuda:0&quot;</span></code>) will make <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder"><span class="std std-ref">StreamingMediaDecoder</span></a> place the resulting frames directly on the specified CUDA device as a CUDA tensor.</p>
-<p>If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the chunk will be moved to CPU memory. </p>
-</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::add_video_stream” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="remove-stream">
 <h3>remove_stream<a class="headerlink" href="#remove-stream" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder13remove_streamE7int64_t">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1ab435622f836a58a577a27f0bea8f5819"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">remove_stream</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">i</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder13remove_streamE7int64_t" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Remove an output stream.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>i</strong> – The index of the output stream to be removed. The valid value range is <code class="docutils literal notranslate"><span class="pre">[0,</span> <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder_1a2675b80361ce5ac9da29bb63105f1135"><span class="std std-ref"><span class="pre">num_out_streams()</span></span></a><span class="pre">)</span></code>. </p>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::remove_stream” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="stream-methods">
 <h3>Stream Methods<a class="headerlink" href="#stream-methods" title="Permalink to this heading">¶</a></h3>
 </section>
 <section id="seek">
 <h3>seek<a class="headerlink" href="#seek" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder4seekEd7int64_t">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1ac00e054c55f2187d7dd6ed9ba21d2228"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">seek</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">timestamp</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">mode</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder4seekEd7int64_t" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Seek into the given time stamp.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>timestamp</strong> – Target time stamp in second. </p></li>
-<li><p><strong>mode</strong> – Seek mode.<ul>
-<li><p><code class="docutils literal notranslate"><span class="pre">0</span></code>: Keyframe mode. Seek into nearest key frame before the given timestamp.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">1</span></code>: Any mode. Seek into any frame (including non-key frames) before the given timestamp.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">2</span></code>: Precise mode. First seek into the nearest key frame before the given timestamp, then decode frames until it reaches the frame closest to the given timestamp. </p></li>
-</ul>
-</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::seek” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="process-packet">
 <h3>process_packet<a class="headerlink" href="#process-packet" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder14process_packetEv">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1a01fdf9e71bd58aeafcf2aeb4418a817c"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">process_packet</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder14process_packetEv" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Demultiplex and process one packet.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Returns<span class="colon">:</span></dt>
-<dd class="field-odd"><p><ul class="simple">
-<li><p><code class="docutils literal notranslate"><span class="pre">0</span></code>: A packet was processed successfully and there are still packets left in the stream, so client code can call this method again.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">1</span></code>: A packet was processed successfully and it reached EOF. Client code should not call this method again.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&lt;0</span></code>: An error has happened. </p></li>
-</ul>
-</p>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::process_packet” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="process-packet-block">
 <h3>process_packet_block<a class="headerlink" href="#process-packet-block" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder20process_packet_blockEKdKd">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1ab79ca75fbcf46543b5947762d4feba46"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">process_packet_block</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">timeout</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">backoff</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder20process_packet_blockEKdKd" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Similar to <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder_1a01fdf9e71bd58aeafcf2aeb4418a817c"><span class="std std-ref"><span class="pre">process_packet()</span></span></a></code>, but in case it fails due to resource temporarily being unavailable, it automatically retries.</p>
-<p>This behavior is helpful when using device input, such as a microphone, during which the buffer may be busy while sample acquisition is happening.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>timeout</strong> – Timeout in milli seconds.<ul>
-<li><p><code class="docutils literal notranslate"><span class="pre">&gt;=0</span></code>: Keep retrying until the given time passes.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&lt;0</span></code>: Keep retrying forever. </p></li>
-</ul>
-</p></li>
-<li><p><strong>backoff</strong> – Time to wait before retrying in milli seconds. </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::process_packet_block” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="process-all-packets">
 <h3>process_all_packets<a class="headerlink" href="#process-all-packets" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder19process_all_packetsEv">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1a0f4f370219d1615b3b5222aa5385f42b"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">process_all_packets</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder19process_all_packetsEv" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Process packets unitl EOF. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::process_all_packets” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="fill-buffer">
 <h3>fill_buffer<a class="headerlink" href="#fill-buffer" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder11fill_bufferERKNSt8optionalIdEEKd">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1ae3f5ab23b21ee6d2e5a2ed8c53dc260d"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">fill_buffer</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="kt"><span class="pre">double</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">timeout</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">backoff</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">10.</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder11fill_bufferERKNSt8optionalIdEEKd" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Process packets until all the chunk buffers have at least one chunk</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>timeout</strong> – See <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder_1ab79ca75fbcf46543b5947762d4feba46"><span class="std std-ref"><span class="pre">process_packet_block()</span></span></a></code> </p></li>
-<li><p><strong>backoff</strong> – See <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaDecoder_1ab79ca75fbcf46543b5947762d4feba46"><span class="std std-ref"><span class="pre">process_packet_block()</span></span></a></code> </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::fill_buffer” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 </section>
 <section id="retrieval-methods">
 <h2>Retrieval Methods<a class="headerlink" href="#retrieval-methods" title="Permalink to this heading">¶</a></h2>
 <section id="pop-chunks">
 <h3>pop_chunks<a class="headerlink" href="#pop-chunks" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaDecoder10pop_chunksEv">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaDecoder_1af443fa8e8ac186ac4404d81ea3bec59c"></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">vector</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><a class="reference internal" href="#_CPPv4N5torio2io5ChunkE" title="torio::io::Chunk"><span class="n"><span class="pre">Chunk</span></span></a><span class="p"><span class="pre">&gt;</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaDecoderE" title="torio::io::StreamingMediaDecoder"><span class="n"><span class="pre">StreamingMediaDecoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">pop_chunks</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaDecoder10pop_chunksEv" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Pop one chunk from each output stream if it is available. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaDecoder::pop_chunks” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 </section>
 <section id="support-structures">
@@ -760,29 +638,10 @@ <h2>Support Structures<a class="headerlink" href="#support-structures" title="Pe
 <section id="chunk">
 <h3>Chunk<a class="headerlink" href="#chunk" title="Permalink to this heading">¶</a></h3>
 <div class="py attribute docutils container">
-<dl class="cpp struct">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io5ChunkE">
-<span class="target" id="structtorio_1_1io_1_1Chunk"></span><span class="k"><span class="pre">struct</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Chunk</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io5ChunkE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Stores decoded frames and metadata. </p>
-<div class="breathe-sectiondef docutils container">
-<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-members">Public Members</p>
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io5Chunk6framesE">
-<span class="target" id="structtorio_1_1io_1_1Chunk_1a6b4f6a8b707901b3b10ef2d7df2e3e4d"></span><span class="n"><span class="pre">torch</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">Tensor</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">frames</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io5Chunk6framesE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Audio/video frames.</p>
-<p>For audio, the shape is <code class="docutils literal notranslate"><span class="pre">[time,</span> <span class="pre">num_channels]</span></code>, and the <code class="docutils literal notranslate"><span class="pre">dtype</span></code> depends on output stream configurations.</p>
-<p>For video, the shape is <code class="docutils literal notranslate"><span class="pre">[time,</span> <span class="pre">channel,</span> <span class="pre">height,</span> <span class="pre">width]</span></code>, and the <code class="docutils literal notranslate"><span class="pre">dtype</span></code> is <code class="docutils literal notranslate"><span class="pre">torch.uint8</span></code>. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io5Chunk3ptsE">
-<span class="target" id="structtorio_1_1io_1_1Chunk_1a9d15ed58a3e748508e5ac9b2f39f5be5"></span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">pts</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io5Chunk3ptsE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Presentation time stamp of the first frame, in second. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenstruct: Cannot find class “torio::io::Chunk” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
 </div>
-</dd></dl>
-
 </div>
 </section>
 <section id="srcstreaminfo">
@@ -820,101 +679,25 @@ <h3>SrcStreaminfo<a class="headerlink" href="#srcstreaminfo" title="Permalink to
 <dd><p>The name of codec in long, human friendly form. </p>
 </dd></dl>
 
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo8fmt_nameE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1aedaf37cd17c18485f2f2dcc81d8fa1ca"></span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="kt"><span class="pre">char</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="sig-name descname"><span class="n"><span class="pre">fmt_name</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="s"><span class="pre">&quot;N/A&quot;</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo8fmt_nameE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>For audio, it is sample format.</p>
-<p>Commonly found values are;<ul class="simple">
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;u8&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;u8p&quot;</span></code>: 8-bit unsigned integer.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;s16&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;s16p&quot;</span></code>: 16-bit signed integer.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;s32&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;s32p&quot;</span></code>: 32-bit signed integer.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;s64&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;s64p&quot;</span></code>: 64-bit signed integer.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;flt&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;fltp&quot;</span></code>: 32-bit floating point.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;dbl&quot;</span></code>, <code class="docutils literal notranslate"><span class="pre">&quot;dblp&quot;</span></code>: 64-bit floating point.</p></li>
-</ul>
-</p>
-<p>For video, it is color channel format.</p>
-<p>Commonly found values include;<ul class="simple">
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;gray8&quot;</span></code>: grayscale</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;rgb24&quot;</span></code>: RGB</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;bgr24&quot;</span></code>: BGR</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;yuv420p&quot;</span></code>: YUV420p </p></li>
-</ul>
-</p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo8bit_rateE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1a92f5b3eee0a9191ac9b941813e59a39f"></span><span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">bit_rate</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo8bit_rateE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Bit rate. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo10num_framesE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1af63a840ef28286d0c8a72dfa79d2093b"></span><span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">num_frames</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo10num_framesE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Number of frames. </p>
-<div class="admonition note">
-<p class="admonition-title">Note</p>
-<p>In some formats, the value is not reliable or unavailable. </p>
-</div>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo15bits_per_sampleE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1abb1dbb8e70a976dd6b8e6960f4f36313"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">bits_per_sample</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo15bits_per_sampleE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Bits per sample. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo8metadataE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1a15fb5310df582da99644c0cfe9cda926"></span><span class="n"><span class="pre">OptionDict</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">metadata</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="p"><span class="pre">{</span></span><span class="p"><span class="pre">}</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo8metadataE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Metadata</p>
-<p>This method can fetch ID3 tag from MP3.</p>
-<p>Example:</p>
-<p><div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="p">{</span>
-  <span class="s2">&quot;title&quot;</span><span class="p">:</span> <span class="s2">&quot;foo&quot;</span><span class="p">,</span>
-  <span class="s2">&quot;artist&quot;</span><span class="p">:</span> <span class="s2">&quot;bar&quot;</span><span class="p">,</span>
-  <span class="s2">&quot;date&quot;</span><span class="p">:</span> <span class="s2">&quot;2017&quot;</span>
-<span class="p">}</span>
-</pre></div>
-</div>
- </p>
-</dd></dl>
-
-</div>
-<div class="breathe-sectiondef docutils container">
-<p class="breathe-sectiondef-title rubric" id="breathe-section-title-audio-specific-members">AUDIO-SPECIFIC MEMBERS</p>
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo11sample_rateE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1a7445147c98842da1e0a17a532a5a1882"></span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">sample_rate</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo11sample_rateE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Sample rate. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo12num_channelsE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1a0c1c2812bbd202ca42913d6b6b81b597"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">num_channels</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo12num_channelsE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>The number of channels. </p>
-</dd></dl>
-
 </div>
 <div class="breathe-sectiondef docutils container">
-<p class="breathe-sectiondef-title rubric" id="breathe-section-title-video-specific-members">VIDEO-SPECIFIC MEMBERS</p>
+<p class="breathe-sectiondef-title rubric" id="breathe-section-title-unnamed-group">Unnamed Group</p>
+<p>/ /</p>
+<p>/ Width int width = -1;</p>
+<p>/ Height int height = -1;</p>
+<p>/ Frame rate AVRational frame_rate{0, 1};</p>
+<p>/ </p>
 <dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo5widthE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1af513beba4aa8a4d938340b1155436e2d"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">width</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo5widthE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Width. </p>
+<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo6framesE">
+<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1a2990612fa557c2f39747bb121896a78d"></span><span class="n"><span class="pre">torch</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">Tensor</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">frames</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo6framesE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>};</p>
+<p>/ Stores decoded frames and metadata struct Chunk { / Audio/video frames. / / For audio, the shape is <code class="docutils literal notranslate"><span class="pre">[time,</span> <span class="pre">num_channels]</span></code>, and the <code class="docutils literal notranslate"><span class="pre">dtype</span></code> / depends on output stream configurations. / / For video, the shape is <code class="docutils literal notranslate"><span class="pre">[time,</span> <span class="pre">channel,</span> <span class="pre">height,</span> <span class="pre">width]</span></code>, and / the <code class="docutils literal notranslate"><span class="pre">dtype</span></code> is <code class="docutils literal notranslate"><span class="pre">torch.uint8</span></code>. </p>
 </dd></dl>
 
 <dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo6heightE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1afbb856b739941b2c7baf41f68d888767"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">height</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo6heightE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Height. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo10frame_rateE">
-<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1acff9793602878574a5b4bcb3e69b9b28"></span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">frame_rate</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="m"><span class="pre">0</span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo10frame_rateE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Frame rate. </p>
+<dt class="sig sig-object cpp" id="_CPPv4N5torio2io13SrcStreamInfo3ptsE">
+<span class="target" id="structtorio_1_1io_1_1SrcStreamInfo_1af3d647063cbb5cf2b5662500953699dd"></span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">pts</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io13SrcStreamInfo3ptsE" title="Permalink to this definition">¶</a><br /></dt>
+<dd><p>Presentation time stamp of the first frame, in second. </p>
 </dd></dl>
 
 </div>
@@ -925,83 +708,10 @@ <h3>SrcStreaminfo<a class="headerlink" href="#srcstreaminfo" title="Permalink to
 <section id="outputstreaminfo">
 <h3>OutputStreaminfo<a class="headerlink" href="#outputstreaminfo" title="Permalink to this heading">¶</a></h3>
 <div class="py attribute docutils container">
-<dl class="cpp struct">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfoE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo"></span><span class="k"><span class="pre">struct</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">OutputStreamInfo</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfoE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Information about output stream configured by user code. </p>
-<div class="breathe-sectiondef docutils container">
-<p class="breathe-sectiondef-title rubric" id="breathe-section-title-audio-specific-members">AUDIO-SPECIFIC MEMBERS</p>
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo11sample_rateE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1afb5bc0d1918e188b27d8273bd04511c7"></span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">sample_rate</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="o"><span class="pre">-</span></span><span class="m"><span class="pre">1</span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo11sample_rateE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Sample rate. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo12num_channelsE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1a5fbe6e8d7efede48e86d5fa52c82f0b0"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">num_channels</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="o"><span class="pre">-</span></span><span class="m"><span class="pre">1</span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo12num_channelsE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>The number of channels. </p>
-</dd></dl>
-
-</div>
-<div class="breathe-sectiondef docutils container">
-<p class="breathe-sectiondef-title rubric" id="breathe-section-title-video-specific-members">VIDEO-SPECIFIC MEMBERS</p>
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo5widthE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1a77441472f664aae0434bc2c332f6790e"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">width</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="o"><span class="pre">-</span></span><span class="m"><span class="pre">1</span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo5widthE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Width. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo6heightE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1a28f3b8e320a2d620b132acf3cff24715"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">height</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="o"><span class="pre">-</span></span><span class="m"><span class="pre">1</span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo6heightE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Height. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo10frame_rateE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1a27a775f9402919c3e48a3bc63cd19414"></span><span class="n"><span class="pre">AVRational</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">frame_rate</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="p"><span class="pre">{</span></span><span class="m"><span class="pre">0</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="m"><span class="pre">1</span></span><span class="p"><span class="pre">}</span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo10frame_rateE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Frame rate. </p>
-</dd></dl>
-
-</div>
-<div class="breathe-sectiondef docutils container">
-<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-members">Public Members</p>
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo12source_indexE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1af0796c137d1d62d61fb505b7ddc60a50"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">source_index</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo12source_indexE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>The index of the input source stream. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo10media_typeE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1abf0481abb45d23afe25806f149fdee44"></span><span class="n"><span class="pre">AVMediaType</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">media_type</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">AVMEDIA_TYPE_UNKNOWN</span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo10media_typeE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>The stream media type.</p>
-<p>Please see refer to <a class="reference external" href="https://ffmpeg.org/doxygen/4.1/group__lavu__misc.html#ga9a84bba4713dfced21a1a56163be1f48">the FFmpeg documentation</a> for the available values</p>
-<p><dl>
-<dt class="sig sig-object cpp">
-<em><span class="pre">Todo:</span></em></dt>
-<dd><p>Introduce own enum and get rid of FFmpeg dependency </p>
-</dd></dl>
-
-</p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo6formatE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1a41688027e3c680fc3e43f2bc5834d745"></span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">format</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="o"><span class="pre">-</span></span><span class="m"><span class="pre">1</span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo6formatE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Media format. AVSampleFormat for audio or AVPixelFormat for video. </p>
-</dd></dl>
-
-<dl class="cpp var">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io16OutputStreamInfo18filter_descriptionE">
-<span class="target" id="structtorio_1_1io_1_1OutputStreamInfo_1a7fa46a5796af9b560c93dd3688052b7a"></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">filter_description</span></span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="p"><span class="pre">{</span></span><span class="p"><span class="pre">}</span></span><a class="headerlink" href="#_CPPv4N5torio2io16OutputStreamInfo18filter_descriptionE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Filter graph definition, such as <code class="docutils literal notranslate"><span class="pre">&quot;aresample=16000,aformat=sample_fmts=fltp&quot;</span></code>. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenstruct: Cannot find class “torio::io::OutputStreamInfo” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
 </div>
-</dd></dl>
-
 </div>
 </section>
 </section>
diff --git a/main/libtorio.stream_writer.html b/main/libtorio.stream_writer.html
index aa4bcb4e2d..d4a7babc7b 100644
--- a/main/libtorio.stream_writer.html
+++ b/main/libtorio.stream_writer.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio::io::StreamingMediaEncoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torio::io::StreamingMediaEncoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -223,7 +223,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -458,218 +458,85 @@ <h3>StreamingMediaEncoder<a class="headerlink" href="#streamingmediaencoder" tit
 <dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoderE">
 <span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder"></span><span class="k"><span class="pre">class</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="Permalink to this definition">¶</a><br /></dt>
 <dd><p>Encode and write audio/video streams chunk by chunk </p>
-<p>Subclassed by <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoderCustomIO"><span class="std std-ref">torio::io::StreamingMediaEncoderCustomIO</span></a></p>
-</dd></dl>
-
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder21StreamingMediaEncoderERKNSt6stringERKNSt8optionalINSt6stringEEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1a6f34d0b9887f3af40c4d4ec421ffe1d3"></span><span class="k"><span class="pre">explicit</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">dst</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">format</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder21StreamingMediaEncoderERKNSt6stringERKNSt8optionalINSt6stringEEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Construct <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoder"><span class="std std-ref">StreamingMediaEncoder</span></a> from destination URI</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>dst</strong> – Destination where encoded data are written. </p></li>
-<li><p><strong>format</strong> – Specify output format. If not provided, it is guessed from <code class="docutils literal notranslate"><span class="pre">dst</span></code>. </p></li>
-</ul>
-</dd>
-</dl>
 </dd></dl>
 
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::StreamingMediaEncoder” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="streamingmediaencodercustomio">
 <h3>StreamingMediaEncoderCustomIO<a class="headerlink" href="#streamingmediaencodercustomio" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp class">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io29StreamingMediaEncoderCustomIOE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoderCustomIO"></span><span class="k"><span class="pre">class</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">StreamingMediaEncoderCustomIO</span></span></span><span class="w"> </span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="k"><span class="pre">private</span></span><span class="w"> </span><span class="n"><span class="pre">detail</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">CustomOutput</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="k"><span class="pre">public</span></span><span class="w"> </span><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><a class="headerlink" href="#_CPPv4N5torio2io29StreamingMediaEncoderCustomIOE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>A subclass of <a class="reference internal" href="libtorio.stream_reader.html#classtorio_1_1io_1_1StreamingMediaDecoder"><span class="std std-ref">StreamingMediaDecoder</span></a> which works with custom read function. Can be used for encoding media into memory or custom object. </p>
-</dd></dl>
-
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io29StreamingMediaEncoderCustomIO29StreamingMediaEncoderCustomIOEPvRKNSt8optionalINSt6stringEEEiPFiPvP7uint8_tiEPF7int64_tPv7int64_tiE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoderCustomIO_1adbb9bd5b9630d44dfbc20a1f4f24dcd7"></span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io29StreamingMediaEncoderCustomIOE" title="torio::io::StreamingMediaEncoderCustomIO"><span class="n"><span class="pre">StreamingMediaEncoderCustomIO</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">StreamingMediaEncoderCustomIO</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">opaque</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">format</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">buffer_size</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="p"><span class="pre">(</span></span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">write_packet</span></span><span class="p"><span class="pre">)</span></span><span class="p"><span class="pre">(</span></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">opaque</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">uint8_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">buf</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">buf_size</span></span><span class="p"><span class="pre">)</span></span>, <span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="p"><span class="pre">(</span></span><span class="p"><span class="pre">*</span></span><span class="n sig-param"><span class="pre">seek</span></span><span class="p"><span class="pre">)</span></span><span class="p"><span class="pre">(</span></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">opaque</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="n"><span class="pre">int64_t</span></span><span class="w"> </span><span class="n"><span class="pre">offset</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">whence</span></span><span class="p"><span class="pre">)</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">nullptr</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io29StreamingMediaEncoderCustomIO29StreamingMediaEncoderCustomIOEPvRKNSt8optionalINSt6stringEEEiPFiPvP7uint8_tiEPF7int64_tPv7int64_tiE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Construct <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoderCustomIO"><span class="std std-ref">StreamingMediaEncoderCustomIO</span></a> with custom write and seek functions.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>opaque</strong> – Custom data used by <code class="docutils literal notranslate"><span class="pre">write_packet</span></code> and <code class="docutils literal notranslate"><span class="pre">seek</span></code> functions. </p></li>
-<li><p><strong>format</strong> – Specify output format. </p></li>
-<li><p><strong>buffer_size</strong> – The size of the intermediate buffer, which FFmpeg uses to pass data to write_packet function. </p></li>
-<li><p><strong>write_packet</strong> – Custom write function that is called from FFmpeg to actually write data to the custom destination. </p></li>
-<li><p><strong>seek</strong> – Optional seek function that is used to seek the destination. </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenclass: Cannot find class “torio::io::StreamingMediaEncoderCustomIO” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoderCustomIO::StreamingMediaEncoderCustomIO” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 </section>
 <section id="config-methods">
 <h2>Config methods<a class="headerlink" href="#config-methods" title="Permalink to this heading">¶</a></h2>
 <section id="add-audio-stream">
 <h3>add_audio_stream<a class="headerlink" href="#add-audio-stream" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder16add_audio_streamEiiRKNSt6stringERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEERKNSt8optionalIiEERKNSt8optionalIiEERKNSt8optionalI11CodecConfigEERKNSt8optionalINSt6stringEEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1a7c1f0d545d84b6dcfe27655abfb23484"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">add_audio_stream</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">sample_rate</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">num_channels</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">format</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">OptionDict</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_option</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_format</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="kt"><span class="pre">int</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_sample_rate</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="kt"><span class="pre">int</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_num_channels</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">CodecConfig</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">codec_config</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">filter_desc</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder16add_audio_streamEiiRKNSt6stringERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEERKNSt8optionalIiEERKNSt8optionalIiEERKNSt8optionalI11CodecConfigEERKNSt8optionalINSt6stringEEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Add an output audio stream.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>sample_rate</strong> – The sample rate. </p></li>
-<li><p><strong>num_channels</strong> – The number of channels. </p></li>
-<li><p><strong>format</strong> – Input sample format, which determines the dtype of the input tensor. <p></p>
-<p><ul>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;u8&quot;</span></code>: The input tensor must be <code class="docutils literal notranslate"><span class="pre">torch.uint8</span></code> type.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;s16&quot;</span></code>: The input tensor must be <code class="docutils literal notranslate"><span class="pre">torch.int16</span></code> type.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;s32&quot;</span></code>: The input tensor must be <code class="docutils literal notranslate"><span class="pre">torch.int32</span></code> type.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;s64&quot;</span></code>: The input tensor must be <code class="docutils literal notranslate"><span class="pre">torch.int64</span></code> type.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;flt&quot;</span></code>: The input tensor must be <code class="docutils literal notranslate"><span class="pre">torch.float32</span></code> type.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;dbl&quot;</span></code>: The input tensor must be <code class="docutils literal notranslate"><span class="pre">torch.float64</span></code> type.</p></li>
-</ul>
-</p>
-<p>Default: <code class="docutils literal notranslate"><span class="pre">&quot;flt&quot;</span></code>. </p>
-</p></li>
-<li><p><strong>encoder</strong> – The name of the encoder to be used. <p>When provided, use the specified encoder instead of the default one.</p>
-<p>To list the available encoders, you can use <code class="docutils literal notranslate"><span class="pre">ffmpeg</span> <span class="pre">-encoders</span></code> command. </p>
-</p></li>
-<li><p><strong>encoder_option</strong> – Options passed to encoder. To list encoder options for a encoder, you can use <code class="docutils literal notranslate"><span class="pre">ffmpeg</span> <span class="pre">-h</span> <span class="pre">encoder=&lt;ENCODER&gt;</span></code>. </p></li>
-<li><p><strong>encoder_format</strong> – Format used to encode media. When encoder supports multiple formats, passing this argument will override the format used for encoding. To list supported formats for the encoder, you can use <code class="docutils literal notranslate"><span class="pre">ffmpeg</span> <span class="pre">-h</span> <span class="pre">encoder=&lt;ENCODER&gt;</span></code> command. </p></li>
-<li><p><strong>encoder_sample_rate</strong> – If provided, perform resampling before encoding. </p></li>
-<li><p><strong>encoder_num_channels</strong> – If provided, change channel configuration before encoding. </p></li>
-<li><p><strong>codec_config</strong> – Codec configuration. </p></li>
-<li><p><strong>filter_desc</strong> – Additional processing to apply before encoding the input data </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::add_audio_stream” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="add-video-stream">
 <h3>add_video_stream<a class="headerlink" href="#add-video-stream" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder16add_video_streamEdiiRKNSt6stringERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEERKNSt8optionalIdEERKNSt8optionalIiEERKNSt8optionalIiEERKNSt8optionalINSt6stringEEERKNSt8optionalI11CodecConfigEERKNSt8optionalINSt6stringEEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1ab8dbb3b62454618d83a25fb255de91df"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">add_video_stream</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">double</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">frame_rate</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">width</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">height</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">format</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">OptionDict</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_option</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_format</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="kt"><span class="pre">double</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_frame_rate</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="kt"><span class="pre">int</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_width</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="kt"><span class="pre">int</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">encoder_height</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">hw_accel</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">CodecConfig</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">codec_config</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">string</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">filter_desc</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder16add_video_streamEdiiRKNSt6stringERKNSt8optionalINSt6stringEEERKNSt8optionalI10OptionDictEERKNSt8optionalINSt6stringEEERKNSt8optionalIdEERKNSt8optionalIiEERKNSt8optionalIiEERKNSt8optionalINSt6stringEEERKNSt8optionalI11CodecConfigEERKNSt8optionalINSt6stringEEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Add an output video stream.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>frame_rate</strong> – Frame rate </p></li>
-<li><p><strong>width</strong> – Width </p></li>
-<li><p><strong>height</strong> – Height </p></li>
-<li><p><strong>format</strong> – Input pixel format, which determines the color channel order of the input tensor. <p></p>
-<p><ul>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;gray8&quot;</span></code>: One channel, grayscale.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;rgb24&quot;</span></code>: Three channels in the order of RGB.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;bgr24&quot;</span></code>: Three channels in the order of BGR.</p></li>
-<li><p><code class="docutils literal notranslate"><span class="pre">&quot;yuv444p&quot;</span></code>: Three channels in the order of YUV.</p></li>
-</ul>
-</p>
-<p>In either case, the input tensor has to be <code class="docutils literal notranslate"><span class="pre">torch.uint8</span></code> type and the shape must be (frame, channel, height, width). </p>
-</p></li>
-<li><p><strong>encoder</strong> – See <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoder_1a7c1f0d545d84b6dcfe27655abfb23484"><span class="std std-ref"><span class="pre">add_audio_stream()</span></span></a></code>. </p></li>
-<li><p><strong>encoder_option</strong> – See <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoder_1a7c1f0d545d84b6dcfe27655abfb23484"><span class="std std-ref"><span class="pre">add_audio_stream()</span></span></a></code>. </p></li>
-<li><p><strong>encoder_format</strong> – See <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoder_1a7c1f0d545d84b6dcfe27655abfb23484"><span class="std std-ref"><span class="pre">add_audio_stream()</span></span></a></code>. </p></li>
-<li><p><strong>encoder_frame_rate</strong> – If provided, change frame rate before encoding. </p></li>
-<li><p><strong>encoder_width</strong> – If provided, resize image before encoding. </p></li>
-<li><p><strong>encoder_height</strong> – If provided, resize image before encoding. </p></li>
-<li><p><strong>hw_accel</strong> – Enable hardware acceleration. </p></li>
-<li><p><strong>codec_config</strong> – Codec configuration. <p>When video is encoded on CUDA hardware, for example <code class="docutils literal notranslate"><span class="pre">encoder=&quot;h264_nvenc&quot;</span></code>, passing CUDA device indicator to <code class="docutils literal notranslate"><span class="pre">hw_accel</span></code> (i.e. <code class="docutils literal notranslate"><span class="pre">hw_accel=&quot;cuda:0&quot;</span></code>) will make <a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoder"><span class="std std-ref">StreamingMediaEncoder</span></a> expect video chunk to be a CUDA Tensor. Passing CPU Tensor will result in an error.</p>
-<p>If <code class="docutils literal notranslate"><span class="pre">None</span></code>, the video chunk Tensor has to be a CPU Tensor. </p>
-</p></li>
-<li><p><strong>filter_desc</strong> – Additional processing to apply before encoding the input data </p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::add_video_stream” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="set-metadata">
 <h3>set_metadata<a class="headerlink" href="#set-metadata" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder12set_metadataERK10OptionDict">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1a9a0a1eb7632782ca3505f4c006e63351"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">set_metadata</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">OptionDict</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">metadata</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder12set_metadataERK10OptionDict" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Set file-level metadata </p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>metadata</strong> – metadata. </p>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::set_metadata” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 </section>
 <section id="write-methods">
 <h2>Write methods<a class="headerlink" href="#write-methods" title="Permalink to this heading">¶</a></h2>
 <section id="open">
 <h3>open<a class="headerlink" href="#open" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder4openERKNSt8optionalI10OptionDictEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1a7785f86ab22716b0d6fcab72b43e0eea"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">open</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="n"><span class="pre">OptionDict</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">opt</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder4openERKNSt8optionalI10OptionDictEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Open the output file / device and write the header.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>opt</strong> – Private options for protocol, device and muxer. </p>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::open” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="close">
 <h3>close<a class="headerlink" href="#close" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder5closeEv">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1ad4b54cba53a7564bb058ede079ff6530"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">close</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder5closeEv" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Close the output file / device and finalize metadata. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::close” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="write-audio-chunk">
 <h3>write_audio_chunk<a class="headerlink" href="#write-audio-chunk" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder17write_audio_chunkEiRKN5torch6TensorERKNSt8optionalIdEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1aac942a7abc08bc215fd0a62233f623da"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">write_audio_chunk</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">i</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">torch</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">Tensor</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">frames</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="kt"><span class="pre">double</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">pts</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder17write_audio_chunkEiRKN5torch6TensorERKNSt8optionalIdEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Write audio data </p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>i</strong> – Stream index. </p></li>
-<li><p><strong>frames</strong> – Waveform tensor. Shape: <code class="docutils literal notranslate"><span class="pre">(frame,</span> <span class="pre">channel)</span></code>. The <code class="docutils literal notranslate"><span class="pre">dtype</span></code> must match what was passed to <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoder_1a7c1f0d545d84b6dcfe27655abfb23484"><span class="std std-ref"><span class="pre">add_audio_stream()</span></span></a></code> method. </p></li>
-<li><p><strong>pts</strong> – <p>Presentation timestamp. If provided, it overwrites the PTS of the first frame with the provided one. Otherwise, PTS are incremented per an inverse of sample rate. Only values exceed the PTS values processed internally.</p>
-<p><strong>NOTE</strong>: The provided value is converted to integer value expressed in basis of sample rate. Therefore, it is truncated to the nearest value of <code class="docutils literal notranslate"><span class="pre">n</span> <span class="pre">/</span> <span class="pre">sample_rate</span></code>. </p>
-</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::write_audio_chunk” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="write-video-chunk">
 <h3>write_video_chunk<a class="headerlink" href="#write-video-chunk" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder17write_video_chunkEiRKN5torch6TensorERKNSt8optionalIdEE">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1a0e21811fac24de6266ad31ef36c7175a"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">write_video_chunk</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">i</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">torch</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">Tensor</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">frames</span></span>, <span class="k"><span class="pre">const</span></span><span class="w"> </span><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">optional</span></span><span class="p"><span class="pre">&lt;</span></span><span class="kt"><span class="pre">double</span></span><span class="p"><span class="pre">&gt;</span></span><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">pts</span></span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">nullopt</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder17write_video_chunkEiRKN5torch6TensorERKNSt8optionalIdEE" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Write video data </p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>i</strong> – Stream index. </p></li>
-<li><p><strong>frames</strong> – Video/image tensor. Shape: <code class="docutils literal notranslate"><span class="pre">(time,</span> <span class="pre">channel,</span> <span class="pre">height,</span> <span class="pre">width)</span></code>. The <code class="docutils literal notranslate"><span class="pre">dtype</span></code> must be <code class="docutils literal notranslate"><span class="pre">torch.uint8</span></code>. The shape <code class="docutils literal notranslate"><span class="pre">(height,</span> <span class="pre">width</span> <span class="pre">and</span> <span class="pre">the</span> <span class="pre">number</span> <span class="pre">of</span> <span class="pre">channels)</span></code> must match what was configured when calling <code class="docutils literal notranslate"><a class="reference internal" href="#classtorio_1_1io_1_1StreamingMediaEncoder_1ab8dbb3b62454618d83a25fb255de91df"><span class="std std-ref"><span class="pre">add_video_stream()</span></span></a></code>. </p></li>
-<li><p><strong>pts</strong> – <p>Presentation timestamp. If provided, it overwrites the PTS of the first frame with the provided one. Otherwise, PTS are incremented per an inverse of frame rate. Only values exceed the PTS values processed internally.</p>
-<p><strong>NOTE</strong>: The provided value is converted to integer value expressed in basis of frame rate. Therefore, it is truncated to the nearest value of <code class="docutils literal notranslate"><span class="pre">n</span> <span class="pre">/</span> <span class="pre">frame_rate</span></code>. </p>
-</p></li>
-</ul>
-</dd>
-</dl>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::write_video_chunk” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 <section id="flush">
 <h3>flush<a class="headerlink" href="#flush" title="Permalink to this heading">¶</a></h3>
-<dl class="cpp function">
-<dt class="sig sig-object cpp" id="_CPPv4N5torio2io21StreamingMediaEncoder5flushEv">
-<span class="target" id="classtorio_1_1io_1_1StreamingMediaEncoder_1ac192ea68a58042c6ffe5001f3ef8b49b"></span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">torio</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">io</span></span><span class="p"><span class="pre">::</span></span><a class="reference internal" href="#_CPPv4N5torio2io21StreamingMediaEncoderE" title="torio::io::StreamingMediaEncoder"><span class="n"><span class="pre">StreamingMediaEncoder</span></span></a><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">flush</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N5torio2io21StreamingMediaEncoder5flushEv" title="Permalink to this definition">¶</a><br /></dt>
-<dd><p>Flush the frames from encoders and write the frames to the destination. </p>
-</dd></dl>
-
+<div class="admonition warning">
+<p class="admonition-title">Warning</p>
+<p>doxygenfunction: Cannot find function “torio::io::StreamingMediaEncoder::flush” in doxygen xml output for project “libtorio” from directory: cpp/xml</p>
+</div>
 </section>
 </section>
 </section>
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["Building from source", "Enabling GPU video decoder/encoder", "Building on Jetson", "Building on Linux and macOS", "Building on Windows", "torchaudio.compliance.kaldi", "torchaudio.datasets", "Feature Classifications", "torchaudio.functional", "torchaudio.compliance.kaldi.fbank", "torchaudio.compliance.kaldi.mfcc", "torchaudio.compliance.kaldi.spectrogram", "CMUARCTIC", "CMUDict", "COMMONVOICE", "DR_VCTK", "FluentSpeechCommands", "GTZAN", "IEMOCAP", "LIBRISPEECH", "LIBRITTS", "LJSPEECH", "LibriLightLimited", "LibriMix", "MUSDB_HQ", "QUESST14", "SPEECHCOMMANDS", "Snips", "TEDLIUM", "VCTK_092", "VoxCeleb1Identification", "VoxCeleb1Verification", "YESNO", "torchaudio.functional.DB_to_amplitude", "TokenSpan", "torchaudio.functional.add_noise", "torchaudio.functional.allpass_biquad", "torchaudio.functional.amplitude_to_DB", "torchaudio.functional.apply_beamforming", "torchaudio.functional.apply_codec", "torchaudio.functional.band_biquad", "torchaudio.functional.bandpass_biquad", "torchaudio.functional.bandreject_biquad", "torchaudio.functional.bass_biquad", "torchaudio.functional.biquad", "torchaudio.functional.compute_deltas", "torchaudio.functional.contrast", "torchaudio.functional.convolve", "torchaudio.functional.create_dct", "torchaudio.functional.dcshift", "torchaudio.functional.deemph_biquad", "torchaudio.functional.deemphasis", "torchaudio.functional.detect_pitch_frequency", "torchaudio.functional.dither", "torchaudio.functional.edit_distance", "torchaudio.functional.equalizer_biquad", "torchaudio.functional.fftconvolve", "torchaudio.functional.filtfilt", "torchaudio.functional.flanger", "torchaudio.functional.forced_align", "torchaudio.functional.frechet_distance", "torchaudio.functional.gain", "torchaudio.functional.griffinlim", "torchaudio.functional.highpass_biquad", "torchaudio.functional.inverse_spectrogram", "torchaudio.functional.lfilter", "torchaudio.functional.linear_fbanks", "torchaudio.functional.loudness", 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"compatible_brand": [1, 338], "mp42iso2avc1mp41": 1, "lavf58": 1, "76": [1, 312, 313, 321, 327, 330, 331, 333, 340, 342], "durat": [1, 9, 10, 11, 52, 93, 106, 113, 114, 204, 211, 244, 280, 312, 321, 331, 333, 341], "start": [1, 2, 3, 34, 88, 93, 100, 105, 114, 116, 130, 204, 206, 221, 222, 223, 233, 240, 241, 272, 280, 288, 308, 312, 313, 320, 321, 322, 323, 325, 326, 327, 328, 332, 333, 335, 339, 340, 341, 342], "000000": [1, 337], "bitrat": [1, 95, 243], "1294": 1, "kb": 1, "eng": [1, 338], "high": [1, 9, 10, 213, 271, 304, 314, 321, 322, 326, 327, 331, 332, 338], "avc1": 1, "0x31637661": 1, "yuv420p": [1, 284, 292, 330, 338, 340], "tv": 1, "bt709": 1, "960x540": [1, 330, 338], "sar": 1, "dar": 1, "16": [1, 94, 95, 100, 102, 125, 164, 171, 200, 207, 215, 243, 282, 284, 285, 286, 292, 304, 313, 319, 321, 322, 326, 327, 330, 332, 335, 338, 340, 342], "1156": 1, "29": [1, 171, 313, 320, 321, 327, 330, 333, 337, 338, 342], "97": [1, 9, 10, 11, 51, 81, 239, 251, 268, 313, 321, 326, 327, 330], "fp": [1, 330, 331, 337, 338], "tbr": 1, "30k": 1, "tbn": 1, "59": [1, 171, 313, 321, 327, 338, 342], "94": [1, 313, 321, 327, 330, 342], "tbc": 1, "handler_nam": [1, 338], "mainconcept": [1, 338], "media": [1, 284, 285, 287, 292, 293, 307, 325, 332, 337, 339, 340], "handler": [1, 338], "vendor_id": [1, 338], "lc": 1, "mp4a": 1, "0x6134706d": 1, "48000": [1, 50, 84, 320, 322, 323, 337, 338], "hz": [1, 36, 40, 41, 42, 43, 52, 55, 58, 63, 66, 68, 71, 79, 84, 92, 205, 207, 210, 244, 245, 285, 312, 320, 333, 336, 337, 338], "stereo": [1, 324, 340], "fltp": [1, 284, 292, 322, 332, 337, 338, 340], "128": [1, 101, 102, 104, 111, 114, 192, 193, 194, 224, 236, 238, 239, 242, 243, 256, 258, 262, 263, 318, 320, 321, 324, 325, 327, 337, 338, 340], "sound": [1, 17, 46, 93, 204, 211, 212, 280, 284, 315, 322, 328, 329, 333, 338, 340], "map": [1, 28, 64, 90, 107, 116, 118, 119, 200, 257, 275, 282, 283, 284, 285, 286, 313, 314, 320, 321, 326, 332, 342], "press": [1, 339], "stop": [1, 111, 113, 211, 242, 284, 319, 320, 322, 339], "help": [1, 4, 93, 244, 280, 292, 320, 331, 336, 339], "output": [1, 5, 9, 10, 11, 33, 35, 37, 39, 44, 51, 54, 56, 57, 59, 62, 64, 65, 77, 79, 81, 85, 93, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 114, 115, 116, 117, 136, 143, 144, 145, 146, 147, 148, 159, 160, 198, 200, 201, 204, 206, 210, 211, 212, 215, 218, 219, 220, 221, 222, 223, 224, 225, 236, 248, 252, 255, 257, 258, 260, 261, 269, 271, 280, 282, 284, 285, 286, 292, 293, 313, 314, 315, 321, 326, 328, 329, 330, 331, 335, 336, 337, 339, 342], "progress": [1, 342], "31": [1, 101, 111, 171, 313, 315, 321, 326, 327, 330, 335, 336, 342], "5000": [1, 207, 320], "lavc58": 1, "134": [1, 313, 321, 327, 334, 342], "side": [1, 64, 89, 90, 239, 241, 257, 263, 274, 275, 314, 328, 340], "cpb": 1, "max": [1, 23, 37, 47, 56, 58, 59, 85, 101, 104, 107, 111, 118, 172, 173, 212, 215, 250, 252, 269, 312, 327, 333, 341], "min": [1, 23, 47, 56, 69, 70, 250, 252, 313, 336], "avg": 1, "5000000": 1, "buffer": [1, 94, 100, 243, 283, 284, 285, 292, 293, 319, 331, 338, 340], "10000000": 1, "vbv_delai": 1, "frame": [1, 9, 10, 11, 24, 52, 62, 64, 78, 80, 88, 89, 90, 94, 95, 100, 101, 102, 104, 106, 107, 108, 111, 113, 114, 116, 117, 119, 122, 130, 159, 200, 204, 214, 215, 218, 225, 239, 241, 253, 255, 257, 263, 267, 272, 274, 275, 279, 284, 285, 292, 293, 313, 314, 315, 319, 322, 323, 331, 332, 335, 336, 338, 339, 340], "6175": [1, 338], "1712": 1, "lsize": 1, "37935kb": 1, "time": [1, 7, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 52, 53, 55, 57, 58, 59, 61, 62, 63, 64, 65, 67, 68, 69, 70, 72, 77, 78, 79, 80, 82, 83, 84, 88, 89, 90, 91, 92, 93, 95, 98, 100, 102, 103, 105, 108, 109, 110, 111, 113, 114, 116, 117, 122, 159, 173, 201, 204, 207, 208, 210, 211, 214, 216, 220, 223, 238, 239, 240, 241, 242, 243, 244, 245, 249, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 293, 304, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 335, 336, 337, 338, 340, 341, 342], "1508": 1, "5kbit": 1, "speed": [1, 58, 78, 79, 119, 211, 212, 244, 245, 277, 279, 314, 315, 320, 330, 331], "57": [1, 304, 313, 314, 315, 321, 327, 330, 338, 342], "1x": 1, "34502kb": 1, "3234kb": 1, "subtitl": [1, 284, 292], "0kb": 1, "other": [1, 4, 9, 10, 14, 19, 20, 24, 39, 93, 100, 105, 153, 154, 155, 158, 179, 180, 181, 182, 183, 184, 187, 188, 189, 198, 199, 200, 244, 245, 261, 280, 284, 288, 292, 297, 304, 313, 314, 318, 319, 321, 323, 327, 328, 330, 332, 335, 338, 340], "global": [1, 204, 285, 307, 310, 320, 322, 332, 343], "mux": [1, 339], "overhead": [1, 322, 330], "526932": 1, "onc": [1, 95, 271, 284, 285, 292, 319, 323, 324, 327, 328, 335, 338, 340, 342], "properli": [1, 284, 322], "pick": [1, 285, 319, 327, 335], "correctli": [1, 306, 330, 331, 342], "There": [1, 288, 294, 313, 319, 321, 323, 326, 327, 333, 335, 338, 339], "queri": [1, 287, 291, 304, 310], "ffmpeg_util": [1, 2, 100, 243, 324, 330, 331, 340], "get_video_decod": [1, 284, 330], "get_video_encod": [1, 285, 331], "often": [1, 4, 330, 331, 335, 340], "case": [1, 4, 94, 165, 166, 208, 233, 284, 285, 292, 293, 297, 304, 306, 319, 320, 321, 322, 327, 328, 330, 331, 332, 333, 338, 340, 342], "multipl": [1, 3, 4, 6, 79, 83, 95, 191, 192, 193, 194, 285, 288, 293, 307, 319, 320, 321, 323, 325, 326, 327, 330, 335, 337, 338, 340], "load": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 75, 76, 87, 114, 137, 138, 164, 165, 166, 198, 199, 200, 203, 233, 235, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 258, 259, 260, 261, 262, 263, 264, 265, 267, 270, 271, 272, 273, 274, 275, 280, 281, 282, 284, 287, 305, 313, 314, 315, 318, 320, 321, 323, 324, 326, 327, 328, 330, 332, 338, 339, 340, 342], "differ": [1, 4, 23, 37, 57, 65, 95, 106, 113, 114, 158, 165, 166, 171, 198, 199, 200, 208, 210, 232, 233, 242, 243, 244, 245, 248, 254, 258, 260, 278, 284, 285, 288, 292, 297, 306, 307, 312, 313, 314, 315, 318, 319, 321, 322, 323, 325, 328, 330, 331, 333, 335, 336, 337, 338, 339, 340, 342], "than": [1, 39, 49, 56, 91, 100, 101, 208, 220, 223, 244, 252, 271, 276, 277, 284, 285, 292, 313, 314, 320, 321, 322, 330, 331, 332, 335, 340], "expect": [1, 7, 9, 10, 11, 37, 62, 73, 74, 78, 98, 118, 119, 122, 134, 159, 165, 166, 173, 198, 199, 200, 235, 255, 264, 279, 284, 285, 293, 313, 322, 326, 328, 331, 332, 335, 338, 340, 342], "get_build_config": [1, 2], "get_vers": [1, 324, 330, 331, 340], "get": [1, 2, 3, 4, 9, 10, 16, 18, 19, 23, 25, 26, 27, 30, 31, 94, 116, 200, 203, 244, 246, 261, 282, 283, 284, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 321, 322, 323, 325, 329, 333, 335, 336, 338, 339, 340, 341], "inform": [1, 4, 94, 165, 166, 171, 198, 199, 200, 210, 233, 282, 284, 286, 292, 297, 298, 304, 307, 323, 332, 335, 338], "about": [1, 284, 292, 313, 314, 338, 339, 342], "import": [1, 2, 137, 138, 159, 164, 165, 166, 171, 198, 199, 200, 233, 235, 271, 298, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "print": [1, 2, 159, 164, 165, 166, 171, 198, 282, 286, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "nbuild": 1, "config": [1, 2, 4, 95, 282, 286, 291, 319, 324, 331, 340], "ndecod": 1, "k": [1, 171, 198, 200, 282, 286, 304, 312, 313, 314, 321, 324, 326, 327, 330, 331, 333, 335, 338, 340, 342], "kei": [1, 23, 284, 290, 292, 314, 319, 322, 330, 331, 338, 342], "nencod": 1, "56": [1, 191, 282, 286, 312, 313, 321, 327, 328], "58": [1, 304, 313, 321, 324, 327, 330, 331, 340, 342], "54": [1, 171, 313, 314, 321, 326, 327, 336, 338, 342], "toolchain": [1, 2, 4], "harden": [1, 2], "libdir": [1, 2], "x86_64": [1, 3, 4, 282, 286], "gnu": [1, 2], "incdir": [1, 2], "avresampl": [1, 2], "resampl": [1, 2, 95, 165, 166, 198, 199, 200, 235, 244, 245, 284, 285, 287, 293, 304, 306, 311, 313, 317, 318, 334, 335, 336, 338], "avisynth": [1, 2], "ladspa": [1, 2], "libaom": [1, 2, 282, 286], "libass": [1, 2], "libblurai": [1, 2], "libbs2b": [1, 2], "libcaca": [1, 2], "libcdio": [1, 2], "libcodec2": [1, 2], "libflit": [1, 2], "libfontconfig": [1, 2], "libfreetyp": [1, 2, 282, 286], "libfribidi": [1, 2], "libgm": [1, 2], "libgsm": [1, 2], "libjack": [1, 2], "libmp3lam": [1, 2, 282, 285, 286, 340], "libmysofa": [1, 2], "libopenjpeg": [1, 2], "libopenmpt": [1, 2], "libopu": [1, 2], "libpuls": [1, 2], "librsvg": [1, 2], "librubberband": [1, 2], "libshin": [1, 2], "libsnappi": [1, 2], "libsoxr": [1, 2], "libspeex": [1, 2], "libssh": [1, 2], "libtheora": [1, 2], "libtwolam": [1, 2], "libvidstab": [1, 2], "libvorbi": [1, 2, 285], "libvpx": [1, 2, 282, 286], "libwavpack": [1, 2], "libwebp": [1, 2], "libx265": [1, 2, 282, 286], "libxml2": [1, 2, 282, 286], "libxvid": [1, 2], "libzmq": [1, 2], "libzvbi": [1, 2], "lv2": [1, 2], "omx": [1, 2], "open": [1, 2, 4, 284, 290, 291, 304, 314, 319, 321, 326, 328, 331, 332, 337, 339, 340, 342], "opencl": [1, 2], "opengl": [1, 2, 339], "sdl2": [1, 2, 339], "libdc1394": [1, 2], "libdrm": [1, 2], "libiec61883": [1, 2], "chromaprint": [1, 2], "frei0r": [1, 2], "hevc_cuvid": [1, 330], "mjpeg_cuvid": [1, 330], "mpeg1_cuvid": [1, 330], "mpeg2_cuvid": [1, 330], "mpeg4_cuvid": [1, 330], "vc1_cuvid": [1, 330], "vp8_cuvid": [1, 330], "vp9_cuvid": [1, 330], "nvenc_h264": 1, "nvenc_hevc": 1, "hevc_nvenc": [1, 331], "fine": [1, 22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 224, 225, 306, 322, 331, 335], "collect": [2, 23, 323, 328], "relat": [2, 4, 284, 285, 292, 328, 332, 342], "nvidia": [2, 4, 111, 330, 331, 342], "embed": [2, 105, 111, 122, 130, 142, 148, 218, 220, 223, 304], "learn": [2, 105, 110, 111, 136, 191, 219, 221, 222, 263, 287, 297, 304, 328, 335, 336], "agx": 2, "orin": 2, "devkit": 2, "date": [2, 4, 292, 307], "instruct": [2, 3, 4, 149, 150, 151, 152, 162, 163, 230, 231, 232, 312, 325, 333, 341], "bash": [2, 4, 326, 342], "echo": [2, 95, 315, 326], "deb": 2, "repo": [2, 342], "common": [2, 8, 162, 163, 282, 286, 292, 295, 301, 304, 311, 312, 316, 318, 319, 328, 330, 333, 338, 342], "r34": 2, "etc": [2, 62, 90, 239, 241, 244, 255, 263, 275, 282, 286, 339, 340], "l4t": 2, "t234": 2, "dist": 2, "upgrad": 2, "reboot": 2, "stabl": [2, 7, 248], "b118": 2, "arm64": [2, 3, 282, 286], "automat": [2, 159, 171, 244, 245, 285, 287, 288, 292, 304, 330, 335, 340], "243": 2, "14": [2, 171, 200, 288, 304, 313, 315, 320, 321, 324, 326, 327, 328, 330, 334, 336, 337, 338, 342], "libcudnn8": 2, "49": [2, 313, 320, 321, 327, 328, 335, 342], "cuda11": 2, "cudnn8": 2, "tegra": 2, "gpu": [2, 4, 117, 287, 320, 330, 331, 342], "isntal": 2, "onli": [2, 3, 4, 9, 10, 11, 49, 56, 59, 62, 64, 65, 75, 76, 87, 88, 90, 93, 98, 100, 111, 114, 116, 137, 198, 212, 243, 244, 245, 252, 254, 255, 256, 261, 266, 270, 272, 273, 278, 280, 282, 284, 285, 286, 288, 292, 293, 308, 312, 313, 314, 318, 319, 320, 322, 326, 328, 332, 335, 336, 340, 342], "super": [2, 244, 245, 311, 313, 323, 335], "sure": [2, 4, 164, 232, 288, 323], "u": [2, 4, 75, 76, 107, 198, 200, 261, 270, 273, 284, 290, 313, 314, 321, 326, 327, 330, 331, 335], "won": [2, 288, 332, 342], "priviledg": 2, "pip3": [2, 328, 329, 336, 342], "ones": [2, 104, 115, 215, 232, 285, 312, 325, 333, 335, 341], "from": [2, 3, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 37, 49, 62, 64, 65, 69, 70, 72, 74, 85, 90, 93, 95, 100, 105, 108, 110, 111, 112, 113, 114, 115, 116, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 152, 153, 154, 155, 156, 157, 158, 159, 160, 164, 165, 166, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 198, 199, 200, 201, 204, 206, 208, 209, 210, 211, 214, 219, 221, 222, 232, 233, 234, 235, 240, 241, 242, 243, 244, 248, 254, 255, 256, 257, 258, 260, 261, 265, 267, 269, 271, 275, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 290, 292, 293, 294, 297, 298, 304, 307, 312, 313, 314, 315, 317, 318, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "directori": [2, 4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 288, 292, 328], "its": [2, 13, 26, 35, 51, 75, 76, 81, 87, 111, 118, 207, 208, 211, 251, 268, 270, 273, 284, 285, 292, 297, 307, 312, 313, 315, 319, 320, 323, 326, 327, 328, 332, 337, 338, 340, 342], "site": [2, 342], "packag": [2, 4, 288, 297, 304, 308, 317, 318, 319, 326, 327, 342], "protect": [2, 340], "cannot": [2, 94, 208, 282, 286, 288, 325, 332, 338], "modifi": [2, 46, 62, 78, 255, 279, 304], "One": [2, 17, 53, 95, 137, 261, 281, 284, 285, 293, 321, 322, 330, 340, 342], "wai": [2, 4, 9, 10, 11, 244, 245, 288, 297, 311, 314, 315, 318, 321, 322, 323, 328, 331, 335, 338], "workaround": [2, 3, 4, 284, 342], "forum": 2, "python": [2, 3, 4, 49, 93, 117, 130, 142, 148, 201, 207, 263, 280, 284, 285, 288, 292, 293, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "modul": [2, 4, 58, 79, 101, 106, 107, 109, 110, 113, 134, 137, 138, 159, 164, 171, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 199, 200, 214, 215, 220, 223, 233, 245, 250, 252, 261, 270, 273, 277, 282, 283, 286, 287, 288, 290, 295, 297, 298, 301, 306, 307, 308, 310, 311, 313, 315, 318, 319, 320, 323, 328, 329, 332, 335, 336, 337, 342, 343], "folder": [2, 4, 30, 31, 323], "181321": 2, "bootstrap": 2, "pypa": 2, "io": [2, 3, 4, 39, 95, 96, 97, 98, 263, 282, 284, 285, 286, 287, 288, 291, 315, 319, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "after": [2, 4, 73, 74, 90, 95, 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311, 314, 320, 321, 326, 327, 328, 330, 331, 334, 335, 338, 340, 342], "access": [2, 4, 165, 166, 171, 198, 199, 200, 233, 284, 285, 297, 313, 314, 316, 322, 327, 328, 335], "__version__": [2, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "is_avail": [2, 321, 326, 327, 328, 335, 342], "empti": [2, 28, 284, 313, 333, 339], "410ce96a": 2, "12": [2, 4, 26, 80, 171, 200, 207, 215, 240, 241, 267, 288, 304, 313, 314, 321, 326, 327, 329, 330, 333, 337, 338, 342], "true": [2, 6, 9, 10, 11, 13, 17, 39, 40, 41, 47, 56, 57, 62, 64, 65, 75, 76, 79, 82, 85, 87, 88, 90, 95, 100, 104, 105, 111, 122, 130, 142, 159, 200, 206, 213, 215, 218, 225, 238, 239, 240, 241, 242, 243, 244, 245, 248, 250, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 269, 270, 271, 272, 273, 274, 275, 280, 281, 283, 284, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 327, 328, 329, 330, 331, 332, 333, 336, 337, 338, 339, 340, 341, 342], "e": [2, 3, 4, 9, 10, 11, 36, 40, 41, 42, 43, 49, 53, 55, 57, 58, 62, 63, 65, 68, 79, 81, 84, 90, 92, 93, 107, 109, 110, 130, 142, 159, 171, 176, 192, 193, 194, 198, 200, 208, 233, 239, 241, 243, 255, 261, 263, 275, 277, 280, 282, 284, 285, 286, 287, 292, 293, 298, 304, 313, 314, 318, 319, 321, 322, 323, 326, 327, 335, 336, 338, 339, 342], "pep517": [2, 3, 4], "2ead941": 2, "aarch64": [2, 3], "folllow": 3, "en": [3, 4, 36, 40, 41, 42, 43, 44, 55, 63, 67, 68, 92, 175, 259, 304, 312, 314, 325, 332, 338, 341], "miniconda": [3, 4], "select": [3, 26, 94, 100, 243, 261, 304, 307, 329, 337, 341], "version": [3, 4, 15, 28, 59, 95, 115, 121, 123, 124, 125, 210, 217, 234, 282, 286, 288, 304, 312, 323, 328, 330, 331, 339, 340, 342], "nightli": [3, 4, 312, 325, 333, 336, 341], "setup": [3, 4, 320], "due": [3, 4, 29, 130, 284, 292, 323, 328], "complex": [3, 4, 38, 64, 75, 76, 78, 82, 86, 87, 90, 130, 223, 257, 261, 266, 270, 273, 275, 279, 284, 295, 301, 304, 320, 329], "place": [3, 4, 208, 284, 292, 314, 320, 330], "pip": [3, 4, 288, 317, 318, 319, 323], "tri": [3, 4], "architectur": [3, 4, 101, 102, 103, 104, 112, 143, 144, 145, 146, 147, 148, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 195, 196, 197, 215, 219, 221, 222, 227, 228, 229, 304, 323], "your": [3, 4, 167, 168, 169, 170, 271, 294, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "those": [3, 23, 35, 47, 56, 250, 252, 314, 315, 321, 332, 338], "fail": [3, 4, 284, 292, 307, 312, 322, 331, 333, 337, 338, 341], "switch": [3, 4], "singl": [3, 4, 37, 38, 79, 94, 114, 130, 142, 245, 261, 270, 273, 284, 285, 292, 297, 315, 319, 329, 339], "must": [3, 4, 9, 10, 11, 35, 39, 47, 56, 57, 59, 62, 65, 90, 93, 94, 100, 104, 114, 118, 122, 136, 202, 207, 208, 211, 212, 213, 215, 218, 225, 230, 239, 241, 243, 250, 252, 253, 255, 263, 275, 278, 279, 280, 284, 285, 293, 298, 304, 314, 318, 326, 332, 337, 338, 339, 340, 342], "user": [3, 4, 7, 30, 31, 54, 159, 212, 282, 286, 292, 297, 307, 313, 328, 332, 336, 342], "ffmpeg_root": [3, 4], "specifi": [3, 4, 9, 10, 11, 37, 75, 76, 85, 87, 95, 98, 159, 243, 269, 270, 273, 284, 285, 288, 292, 293, 307, 319, 329, 330, 331, 337, 338, 339, 340], "forg": [3, 4, 288, 323], "conda_prefix": [3, 4], "microsoft": 4, "visual": [4, 287, 313, 318, 323, 325, 328, 335, 338], "manag": [4, 285, 288], "visualstudio": 4, "section": [4, 26, 301, 304, 313, 314, 320, 327, 330, 338, 340, 342], "commun": 4, "edit": [4, 54, 332], "cl": [4, 304], "sake": [4, 66, 71, 327, 332, 335, 340], "similar": [4, 5, 36, 40, 41, 42, 43, 46, 49, 50, 55, 58, 63, 68, 77, 79, 84, 92, 93, 244, 245, 280, 285, 292, 293, 315, 319, 320, 330, 331, 338, 340, 342], "experi": [4, 330], "three": [4, 211, 212, 261, 285, 293, 297, 314, 323, 329, 332, 336, 338, 340, 342], "step": [4, 44, 59, 80, 108, 111, 118, 119, 267, 278, 297, 313, 314, 320, 321, 322, 323, 326, 327, 328, 329, 332, 335, 338, 340, 342], "prompt": [4, 342], "combin": [4, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 282, 286, 312, 315, 321, 324, 327, 328, 329, 338], "known": [4, 311, 321, 323, 326], "anaconda3": 4, "recogn": 4, "activ": [4, 93, 102, 104, 115, 122, 215, 216, 218, 225, 280, 321], "x64": 4, "toolset": 4, "vcvarsal": 4, "bat": 4, "vcvars64": 4, "under": [4, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 297, 298, 314, 317, 332, 335, 342], "studio": 4, "vc": 4, "auxiliari": [4, 113], "more": [4, 39, 73, 74, 83, 108, 130, 159, 223, 243, 247, 249, 251, 264, 265, 268, 271, 282, 284, 285, 286, 292, 298, 312, 313, 314, 318, 319, 320, 321, 325, 327, 328, 331, 332, 335, 338, 340, 342], "cpp": [4, 292, 340], "64": [4, 171, 219, 221, 222, 236, 237, 243, 282, 286, 292, 313, 318, 320, 321, 325, 327, 330, 341, 342], "bit": [4, 39, 53, 94, 95, 100, 169, 170, 243, 244, 284, 285, 292, 313, 314, 319, 322, 323, 328, 331, 337, 338, 340], "line": [4, 58, 118, 119, 243, 313, 314, 326, 335, 337], "view": 4, "160": [4, 258, 260, 321, 327], "vcvarsallbat": 4, "host": [4, 282, 286], "call": [4, 85, 105, 122, 269, 284, 285, 292, 293, 307, 320, 321, 332, 335, 337, 339, 342], "ux": 4, "nativ": [4, 100, 244], "style": 4, "dataset": [4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 149, 150, 153, 154, 155, 156, 157, 159, 162, 163, 164, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 230, 231, 232, 234, 244, 287, 298, 304, 313, 314, 315, 317, 328, 329, 332, 334, 335], "miniconda3": 4, "ex": [4, 314], "cpuonli": 4, "With": 4, "when": [4, 13, 23, 37, 39, 64, 65, 69, 70, 72, 75, 76, 87, 90, 93, 94, 95, 100, 106, 113, 114, 116, 118, 142, 208, 210, 211, 212, 225, 239, 241, 243, 244, 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119, 120, 159, 161, 198, 264, 272, 282, 284, 285, 286, 287, 289, 292, 297, 307, 309, 319, 322, 323, 324, 331, 332, 334, 335, 336, 337, 338], "regular": [4, 333, 338, 340], "find": [4, 167, 168, 169, 170, 287, 292, 320, 331], "yourself": 4, "might": [4, 244, 298, 306, 312, 314, 318, 320, 331, 335, 337], "usabl": 4, "mingw64": 4, "pkg": [4, 282, 286], "purpos": [4, 198, 323, 327], "document": [4, 7, 100, 148, 234, 243, 284, 285, 288, 292, 306, 307, 313, 314, 316, 318, 319, 322, 325, 335, 339], "touch": 4, "trac": [4, 95, 285, 324], "wiki": [4, 36, 40, 41, 42, 43, 44, 55, 63, 68, 92, 95, 285, 304, 312, 324, 325, 341], "compilationguid": 4, "mingw": 4, "www": [4, 30, 31, 32, 36, 40, 41, 42, 43, 50, 67, 84, 92, 239, 259, 304, 325, 333, 338], "chocolateri": 4, "shortcut": 4, "plai": [4, 98, 287, 336], "well": [4, 159, 294, 307, 312, 314, 322, 330, 335, 336, 338, 340], "env": [4, 333], "initi": [4, 44, 62, 93, 104, 105, 116, 122, 208, 211, 215, 225, 255, 267, 280, 284, 292, 313, 322, 323, 332], "bashrc": 4, "instead": [4, 16, 18, 19, 25, 26, 27, 30, 31, 90, 116, 203, 258, 260, 271, 275, 284, 285, 292, 293, 313, 340], "pacman": 4, "w64": 4, "should": [4, 7, 9, 10, 11, 49, 54, 65, 69, 70, 95, 111, 159, 165, 166, 171, 198, 199, 200, 204, 216, 233, 284, 292, 314, 319, 321, 322, 327, 338], "qe": 4, "2020": [4, 14, 22, 23, 83, 101, 113, 130, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 153, 154, 156, 157, 162, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 216, 226, 227, 228, 229, 232, 304, 336, 339], "devel": 4, "filesystem": 4, "2023": [4, 65, 158, 162, 163, 287, 304, 336], "pkgconf": 4, "succe": 4, "result": [4, 17, 35, 39, 47, 54, 56, 66, 71, 78, 83, 90, 93, 95, 100, 116, 118, 119, 126, 127, 128, 129, 130, 131, 132, 137, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 171, 173, 205, 207, 208, 210, 213, 219, 220, 221, 222, 223, 224, 225, 232, 244, 245, 247, 250, 252, 257, 275, 279, 280, 284, 285, 292, 293, 304, 312, 313, 314, 319, 320, 321, 322, 324, 325, 326, 335, 338, 341], "previou": [4, 261, 284, 315, 321, 330, 332, 335, 342], "oper": [5, 7, 8, 47, 56, 75, 130, 142, 148, 207, 208, 210, 250, 252, 261, 270, 307, 330, 338, 339], "variou": [5, 95, 105, 307, 312, 313, 324, 332, 333, 336, 340], "ident": [5, 9, 10, 11, 75, 76, 87, 211, 212, 261, 270, 273, 313, 314, 319, 326], "paramet": [5, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 160, 161, 167, 169, 170, 171, 172, 173, 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274, 275, 279, 291, 298, 304, 319, 320, 322, 324, 325, 326, 329, 335, 337, 338, 339, 340, 342], "implement": [6, 36, 40, 41, 42, 43, 46, 49, 50, 52, 55, 58, 62, 63, 65, 68, 77, 79, 84, 92, 93, 102, 111, 114, 125, 130, 142, 173, 206, 211, 212, 215, 232, 236, 248, 255, 258, 260, 280, 287, 292, 293, 297, 306, 308, 311, 313, 314, 317, 318, 320, 321, 322, 328, 330, 337, 338, 340, 342], "henc": 6, "dataload": [6, 244], "parallelli": 6, "multiprocess": [6, 322, 323], "worker": [6, 320], "yesno_data": 6, "yesno": [6, 304, 316], "data_load": 6, "batch_siz": [6, 59, 105, 112, 216, 244], "shuffl": [6, 330], "num_work": 6, "arg": [6, 247, 270, 273, 313, 320, 322, 323, 328, 332, 335], "nthread": 6, "describ": [7, 162, 163, 327], "classifi": [7, 112, 335], "releas": [7, 28, 204, 230, 231, 288, 298, 312, 319, 328, 332, 333, 340, 342], "statu": 7, "These": [7, 306, 307, 323, 337, 338], "maintain": [7, 313, 314], "long": [7, 244, 282, 284, 286, 292, 313, 314, 324, 332], "term": [7, 130, 142, 318, 332], 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58, 61, 62, 64, 66, 69, 70, 71, 75, 76, 77, 79, 80, 84, 85, 87, 88, 89, 90, 101, 104, 106, 107, 108, 113, 122, 130, 142, 164, 200, 205, 208, 213, 214, 215, 219, 220, 221, 222, 223, 225, 239, 241, 243, 244, 245, 250, 252, 254, 255, 257, 258, 261, 263, 267, 269, 270, 272, 273, 274, 275, 277, 278, 279, 284, 285, 287, 292, 293, 304, 311, 312, 318, 324, 325, 328, 330, 337, 338, 341, 342], "zeroth": [9, 10, 11], "compon": [9, 10, 11, 159, 164, 214, 232, 233, 287, 297, 312, 313, 314, 322, 323, 328, 332, 335, 337, 341, 342], "repres": [9, 10, 11, 75, 76, 87, 101, 104, 107, 108, 116, 117, 159, 165, 166, 171, 172, 198, 199, 200, 207, 211, 212, 214, 215, 233, 270, 273, 284, 313, 315, 318, 320, 321, 327, 329, 330, 333, 335, 336, 340, 342], "individu": [9, 10, 11, 323], "element": [9, 10, 11, 35, 91, 101, 104, 107, 122, 130, 167, 168, 169, 170, 215, 225, 247, 276, 277, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 340, 341, 342], "fix": [9, 10, 11, 212], "std": [9, 10, 11, 29, 292, 293, 328], "numeric_limit": [9, 10, 11], "epsilon": [9, 10, 11, 122, 218, 329, 336], "length": [9, 10, 11, 23, 35, 45, 52, 54, 59, 62, 64, 80, 85, 89, 90, 91, 94, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 122, 130, 159, 160, 171, 172, 173, 208, 212, 214, 215, 216, 218, 221, 222, 223, 225, 233, 239, 241, 247, 249, 253, 254, 255, 257, 263, 267, 269, 274, 275, 276, 277, 278, 279, 321, 322, 323, 326, 327, 328, 329, 332, 342], "millisecond": [9, 10, 11, 58, 79], "shift": [9, 10, 11, 49, 58, 80, 244, 245, 267], "cutoff": [9, 10, 37, 63, 68, 213, 320, 325], "frequenc": [9, 10, 11, 36, 38, 40, 41, 42, 43, 52, 55, 63, 66, 68, 71, 82, 83, 89, 91, 92, 102, 105, 173, 205, 206, 207, 209, 210, 211, 212, 213, 238, 239, 240, 242, 254, 256, 258, 260, 261, 262, 263, 266, 270, 271, 273, 274, 276, 277, 304, 315, 318, 320, 321, 324, 328, 329, 336, 337, 340], "mel": [9, 10, 48, 71, 111, 159, 171, 205, 232, 233, 239, 256, 260, 262, 263, 302, 304, 311], "offset": 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320], "power": [9, 10, 11, 33, 37, 62, 75, 76, 82, 86, 87, 90, 93, 239, 241, 248, 255, 261, 263, 266, 270, 273, 275, 279, 280, 281, 284, 311, 314, 315, 317, 318, 328, 329, 332, 338, 340, 341], "two": [9, 10, 11, 31, 36, 40, 41, 42, 44, 47, 54, 56, 60, 64, 69, 70, 89, 90, 98, 116, 130, 142, 239, 241, 250, 252, 257, 261, 263, 274, 275, 284, 285, 314, 319, 320, 323, 327, 329, 335, 340], "zero": [9, 10, 11, 23, 62, 85, 111, 204, 208, 255, 269, 304, 312, 320, 321, 322, 323, 325, 327, 328, 330, 332, 333, 341], "pad": [9, 10, 11, 23, 45, 57, 64, 65, 85, 89, 90, 95, 104, 107, 111, 159, 215, 239, 241, 244, 249, 257, 263, 269, 274, 275, 322, 323, 332], "fft": [9, 10, 11, 56, 62, 64, 80, 89, 90, 105, 159, 239, 241, 252, 255, 257, 263, 267, 274, 275, 297, 325, 340], "end": [9, 10, 11, 34, 88, 93, 95, 103, 112, 116, 130, 142, 159, 208, 233, 244, 272, 280, 284, 304, 312, 315, 319, 321, 322, 323, 326, 327, 328, 329, 332, 338, 340], "effect": [9, 10, 11, 43, 46, 58, 64, 65, 75, 76, 77, 79, 87, 88, 92, 93, 95, 100, 243, 244, 245, 246, 261, 270, 272, 273, 280, 283, 284, 285, 287, 292, 304, 317, 320, 321, 328, 332, 337], "handl": [9, 10, 11, 15, 29, 100, 243, 284, 285, 292, 307, 319, 320, 338], "fit": [9, 10, 11, 319], "depend": [9, 10, 11, 37, 48, 64, 85, 93, 100, 173, 243, 248, 257, 258, 260, 269, 280, 282, 284, 285, 286, 290, 292, 306, 308, 321, 322, 324, 326, 328, 329, 330, 332, 335, 337, 338, 339, 340, 342], "reflect": [9, 10, 11, 64, 90, 211, 212, 239, 241, 257, 263, 275, 317, 318, 320], "cm": [9, 10, 11, 325], "dimens": [9, 10, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 130, 134, 136, 142, 200, 208, 211, 212, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 244, 245, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 279, 280, 281, 297, 321, 326, 335, 340], "log": [9, 59, 113, 119, 200, 201, 258, 260, 282, 286, 313, 315, 320, 325, 327, 331, 333], "filterbank": [9, 48, 66, 71, 205, 238, 239, 242, 256, 262, 263], "els": [9, 39, 100, 312, 313, 320, 321, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 341, 342], "linear": [9, 10, 58, 62, 66, 77, 94, 142, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 242, 243, 253, 255, 256, 258, 304, 319, 328, 333, 340], "magnitud": [9, 62, 64, 66, 71, 89, 90, 102, 209, 239, 241, 248, 255, 257, 263, 274, 275, 304, 325, 328, 329, 340, 341], "inflect": [9, 10], "piecewis": [9, 10], "vtln": [9, 10], "warp": [9, 10], "neg": [9, 10, 37, 104, 113, 214, 215, 221, 222, 223, 248, 292, 320], "freq": [9, 10, 37, 38, 45, 52, 62, 64, 69, 70, 75, 76, 78, 82, 86, 87, 88, 90, 238, 242, 249, 255, 256, 257, 261, 262, 266, 270, 272, 273, 275, 279, 312, 318, 320, 329, 333], "factor": [9, 10, 78, 91, 105, 106, 122, 130, 216, 218, 243, 276, 277, 285, 313, 341], "applic": [9, 10, 54, 88, 116, 254, 271, 272, 278, 284, 287, 304, 307, 315, 319, 320, 321, 336, 338, 341], "vtln_map": [9, 10], "ham": [9, 10, 11, 213, 325], "han": [9, 10, 11, 304], "rectangular": [9, 10, 11, 53], "return": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 160, 161, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 282, 283, 284, 285, 286, 290, 292, 306, 311, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "what": [9, 10, 11, 234, 285, 293, 313, 314, 318, 321, 335, 338, 339, 342], "shape": [9, 10, 11, 35, 37, 47, 48, 51, 53, 56, 57, 59, 60, 65, 72, 75, 76, 78, 80, 81, 83, 87, 88, 91, 93, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 160, 164, 172, 173, 201, 204, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 236, 237, 244, 245, 247, 250, 251, 252, 253, 267, 268, 270, 271, 273, 276, 277, 280, 284, 285, 292, 293, 313, 314, 315, 318, 319, 321, 328, 329, 330, 333, 335, 336, 338, 339, 340, 342], "calcul": [9, 10, 11, 54, 258, 260, 328], "_get_strid": [9, 10, 11], "asr": [9, 54, 83, 100, 104, 107, 108, 113, 116, 117, 118, 119, 120, 150, 153, 154, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 200, 230, 231, 287, 289, 296, 298, 304, 309, 327, 334, 335, 337], "infer": [9, 54, 83, 94, 100, 113, 116, 117, 118, 119, 120, 122, 150, 159, 171, 198, 230, 231, 233, 234, 235, 243, 244, 267, 287, 296, 297, 298, 319, 326, 334, 342], "ctc": [9, 34, 54, 59, 72, 83, 85, 100, 113, 116, 117, 118, 119, 120, 198, 200, 269, 287, 297, 304, 326, 327, 334, 335, 336], "cepstral_lift": 10, "22": [10, 200, 207, 282, 285, 286, 304, 313, 320, 321, 326, 327, 330, 332, 334, 336, 342], "num_cep": 10, "control": [10, 43, 46, 64, 77, 83, 90, 92, 105, 130, 142, 208, 239, 241, 257, 263, 271, 275, 284, 304, 322, 328, 331, 332, 340, 341, 342], "cepstra": 10, "c0": 10, "fbank": [10, 314, 318], "padded_window_s": 11, "class": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 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189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "2003": [12, 239, 304], "allow": [12, 19, 20, 26, 28, 46, 49, 50, 54, 58, 77, 79, 84, 93, 94, 100, 130, 171, 223, 280, 284, 285, 307, 313, 314, 315, 319, 320, 322, 328, 330, 331, 332, 342], "ahw": 12, "aup": 12, "awb": 12, "axb": 12, "bdl": 12, "clb": 12, "eei": 12, "fem": 12, "gka": 12, "jmk": 12, "ksp": 12, "ljm": 12, "lnh": 12, "rm": 12, "rxr": 12, "slp": 12, "slt": [12, 304], "top": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 108, 116, 142, 159, 203, 225, 292, 293, 307, 308, 313, 314, 330, 333, 336, 340], "level": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 54, 93, 203, 204, 211, 280, 282, 283, 285, 286, 292, 293, 307, 308, 322, 326, 333, 338], "whether": [12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 64, 90, 116, 118, 130, 142, 216, 220, 223, 239, 241, 254, 257, 258, 260, 263, 275, 278, 313], "tupl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 91, 100, 101, 104, 106, 107, 108, 111, 113, 114, 116, 130, 142, 148, 160, 172, 173, 198, 200, 203, 214, 215, 216, 226, 244, 245, 276, 277, 282, 284, 286, 290, 319], "th": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 38, 64, 90, 101, 104, 107, 203, 207, 215, 239, 241, 257, 263, 270, 273, 275, 304, 314], "rate": [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 78, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 105, 123, 124, 125, 159, 164, 165, 166, 173, 198, 199, 200, 203, 205, 206, 210, 212, 216, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 256, 258, 259, 260, 262, 263, 267, 274, 279, 280, 284, 285, 292, 293, 297, 312, 315, 316, 317, 318, 319, 320, 321, 322, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 339, 341, 342], "transcript": [12, 16, 19, 21, 22, 27, 28, 29, 107, 108, 122, 159, 181, 184, 198, 201, 202, 218, 313, 314, 322, 323, 327, 332], "utter": [12, 15, 18, 19, 20, 22, 26, 29, 31, 88, 104, 215, 272, 315], "exclude_punctu": 13, "svn": 13, "sf": 13, "net": [13, 36, 40, 41, 42, 43, 46, 49, 50, 58, 77, 79, 84, 92, 93, 243, 280, 283, 304, 336], "p": [13, 69, 70, 102, 171, 198, 200, 278, 284, 287, 304, 313, 314, 321, 322, 323, 326, 327, 335, 336, 342], "cmusphinx": 13, "trunk": 13, "7b": 13, "url_symbol": 13, "pronounc": 13, "dictionari": [13, 14, 118, 171, 198, 199, 200, 233, 290, 297, 304, 321, 327, 335, 337], "weid": [13, 304], "1998": [13, 304], "exclud": [13, 298], "pronounci": 13, "punctuat": [13, 326], "exclam": 13, "hash": 13, "mark": [13, 304, 306], "phonem": [13, 28, 168, 170, 171, 288, 297, 321], "aa": [13, 282, 286], "ae": 13, "ah": [13, 171, 342], "word": [13, 28, 54, 116, 117, 118, 158, 202, 313, 314, 318, 326, 335], "tsv": 14, "train": [14, 15, 16, 17, 19, 20, 23, 24, 26, 27, 28, 30, 102, 104, 105, 106, 107, 111, 112, 114, 130, 142, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 214, 215, 221, 222, 223, 230, 231, 232, 233, 234, 235, 287, 295, 297, 301, 304, 313, 314, 315, 319, 321, 326, 327, 328, 332, 335, 336, 342], "ardila": [14, 191, 192, 193, 194, 304], "present": [14, 284, 285, 292, 293, 314, 320, 321, 323, 340], "construct": [14, 118, 149, 150, 151, 152, 159, 162, 163, 164, 165, 166, 198, 199, 200, 230, 231, 232, 233, 235, 292, 293, 295, 301, 321, 325, 330, 335, 337, 342], "invalid": [14, 284], "valid": [14, 16, 17, 24, 26, 27, 28, 35, 47, 56, 91, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 120, 130, 134, 142, 171, 172, 173, 208, 210, 214, 215, 243, 246, 247, 250, 252, 256, 276, 277, 283, 284, 285, 292, 338, 342], "dict": [14, 28, 116, 200, 239, 241, 242, 255, 257, 258, 260, 263, 267, 274, 275, 282, 283, 284, 285, 286, 328], "client_id": 14, "sentenc": [14, 54, 111, 116], "up_vot": 14, "down_vot": 14, "ag": [14, 314], "gender": 14, "accent": 14, "subset": [15, 16, 17, 22, 23, 24, 25, 26, 27, 28, 30, 164, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 203, 304, 306], "datashar": [15, 29], "ed": [15, 29, 314], "ac": [15, 29, 30, 31, 282, 286, 338], "uk": [15, 29, 30, 31, 333], "10283": [15, 29], "3038": 15, "dr": 15, "vctk": [15, 29, 304], "zip": [15, 29, 30, 31, 245, 313, 318, 320, 321, 324, 325, 326, 327, 328, 330, 331, 342], "record": [15, 49, 93, 211, 280, 304, 315, 332, 337], "small": [15, 65, 219, 221, 271, 304, 314, 320, 322, 325, 327], "sarfjoo": [15, 304], "yamagishi": [15, 29, 163, 304], "2018": [15, 26, 27, 111, 114, 211, 212, 304, 338], "noisi": [15, 38, 261, 315], "speaker": [15, 16, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 285, 304, 339, 340], "fluent": 16, "speech": [16, 21, 26, 29, 35, 75, 76, 83, 86, 87, 93, 100, 101, 102, 103, 104, 109, 110, 111, 112, 113, 114, 158, 159, 165, 166, 167, 168, 169, 170, 171, 191, 198, 203, 215, 219, 221, 222, 232, 255, 257, 261, 263, 266, 270, 271, 273, 275, 277, 280, 287, 288, 304, 313, 314, 317, 321, 322, 323, 327, 332, 334], "lugosch": [16, 304], "action": 16, "filepath": [16, 18, 19, 25, 26, 27, 30, 31, 203], "otherwis": [16, 18, 19, 25, 26, 27, 30, 31, 39, 57, 62, 65, 69, 70, 85, 91, 94, 95, 100, 130, 142, 203, 206, 208, 210, 213, 240, 241, 243, 244, 255, 269, 276, 277, 284, 285, 292, 293, 328], "field": [16, 18, 19, 25, 26, 27, 30, 31, 203, 313], "opihi": 17, "uvic": 17, "ca": [17, 314], "genr": [17, 304], "none": [17, 18, 24, 25, 26, 27, 35, 37, 39, 48, 49, 59, 62, 64, 71, 75, 78, 80, 82, 83, 85, 90, 91, 93, 94, 95, 98, 100, 104, 106, 107, 108, 111, 113, 114, 116, 118, 120, 122, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 171, 173, 198, 199, 200, 204, 206, 210, 212, 214, 215, 224, 225, 233, 238, 239, 240, 241, 242, 243, 244, 247, 248, 255, 256, 257, 258, 260, 261, 262, 263, 266, 267, 269, 271, 274, 275, 276, 277, 279, 280, 284, 285, 292, 293, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333], "tzanetaki": [17, 304], "2001": [17, 304], "marsya": 17, "info": [17, 73, 74, 264, 265, 282, 286, 287, 319], "plan": [17, 307, 319], "publish": [17, 153, 154, 155, 156, 157, 158, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 332, 342], "octob": 17, "current": [17, 44, 59, 88, 93, 98, 104, 107, 108, 114, 116, 204, 211, 215, 272, 280, 284, 285, 307, 308, 327, 328, 330, 332, 336, 342], "connect": [17, 114, 284], "error": [17, 53, 65, 210, 282, 285, 286, 292, 293, 306, 321, 322, 329, 331, 336, 338], "entir": [17, 113, 288, 308, 324, 328], "label": [17, 18, 26, 27, 30, 31, 32, 59, 85, 106, 113, 116, 117, 130, 198, 200, 269, 297, 306, 313, 316, 318, 320, 321, 325, 335, 341], "session": 18, "utterance_typ": 18, "busso": [18, 304], "2008": [18, 304], "improvis": 18, "both": [18, 39, 64, 85, 90, 150, 152, 211, 230, 231, 239, 241, 257, 263, 269, 275, 292, 293, 313, 320, 322, 323, 329, 330, 331, 332, 338], "neu": 18, "hap": 18, "ang": 18, "sad": [18, 313, 332], "exc": 18, "fru": 18, "panayotov": [19, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 304], "2015": [19, 25, 62, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 203, 255, 277, 304], "dowload": [19, 20, 26], "360": [19, 20, 23, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 330, 331, 334, 337, 338, 339], "chapter": [19, 20, 22], "zen": [20, 304], "origin": [20, 26, 62, 64, 83, 91, 114, 125, 130, 137, 138, 142, 151, 152, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 208, 232, 234, 254, 255, 257, 271, 276, 277, 278, 279, 285, 313, 317, 318, 320, 321, 323, 327, 328, 329, 330, 332, 338, 340, 342], "text": [20, 29, 35, 38, 45, 51, 59, 60, 64, 75, 76, 81, 90, 111, 114, 159, 161, 167, 168, 169, 170, 171, 172, 212, 232, 233, 239, 241, 255, 257, 261, 263, 270, 273, 275, 287, 288, 304, 312, 313, 314, 321, 323, 326, 334, 340], "normal": [20, 21, 48, 52, 54, 57, 60, 64, 65, 71, 82, 88, 90, 100, 108, 122, 130, 142, 198, 199, 202, 206, 218, 223, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 271, 272, 274, 275, 280, 281, 304, 312, 315, 323, 327, 328, 333, 339, 340, 341], "keithito": [21, 304], "bz2": 21, "wav": [21, 27, 30, 31, 39, 95, 100, 137, 138, 171, 233, 238, 239, 240, 241, 242, 243, 244, 245, 248, 253, 256, 258, 259, 260, 262, 263, 264, 265, 267, 271, 272, 274, 275, 280, 281, 285, 313, 314, 315, 317, 318, 319, 321, 324, 326, 327, 328, 329, 335, 336, 337, 338, 339, 340], "ito": [21, 167, 168, 169, 170, 232, 304], "johnson": [21, 167, 168, 169, 170, 232, 304], "2017": [21, 30, 31, 167, 168, 169, 170, 232, 234, 235, 236, 261, 292, 304], "10min": [22, 180, 183, 186], "libri": [22, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 304], "light": [22, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 290, 304, 314], "kahn": [22, 116, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 287, 304], "hubert": [22, 106, 126, 127, 128, 129, 131, 132, 137, 153, 154, 155, 156, 157, 224, 225, 304, 335], "hsu": [22, 106, 126, 127, 128, 129, 131, 132, 153, 154, 155, 156, 157, 304], "2021": [22, 65, 104, 105, 106, 126, 127, 128, 129, 131, 132, 143, 144, 145, 151, 152, 153, 154, 155, 156, 157, 163, 174, 175, 176, 177, 178, 192, 193, 194, 196, 197, 230, 287, 304, 321, 328, 333], "supervis": [22, 110, 136, 219, 221, 222, 287, 304, 335], "tune": [22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 206, 212, 224, 225, 240, 241, 335], "1h": 22, "10h": 22, "num_speak": 23, "sample_r": [23, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 79, 80, 84, 89, 92, 93, 94, 95, 98, 114, 171, 205, 206, 210, 212, 237, 238, 239, 240, 241, 242, 243, 244, 245, 248, 253, 256, 258, 259, 260, 262, 263, 264, 265, 267, 271, 272, 274, 275, 280, 281, 284, 285, 292, 293, 298, 311, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "8000": [23, 210, 212, 244, 245, 284, 306, 311, 315, 319, 337, 338, 340], "task": [23, 30, 31, 219, 221, 222, 295, 297, 301, 304, 323, 326, 335, 336], "sep_clean": 23, "mode": [23, 40, 45, 47, 56, 64, 107, 108, 111, 130, 142, 148, 249, 250, 252, 257, 284, 292, 307, 319, 328, 330, 332, 336, 337, 342], "cosentino": [23, 149, 304], "libri2mix": [23, 149, 164], "libri3mix": 23, "store": [23, 53, 116, 117, 292, 313, 327, 328, 330], "Not": 23, "determin": [23, 216, 261, 285, 293, 313, 314, 315, 318, 320, 338], "travers": [23, 327], "s1": 23, "sn": 23, "subdirectori": 23, "ha": [23, 39, 66, 71, 74, 100, 125, 171, 244, 245, 265, 283, 284, 285, 288, 292, 293, 307, 314, 315, 318, 319, 320, 321, 323, 325, 327, 328, 330, 333, 335, 337, 338, 339, 340, 342], "rais": [23, 284, 306, 312, 333, 336, 338, 341], "valueerror": 23, "enh_singl": 23, "enh_both": 23, "sep_noisi": 23, "mixtur": [23, 24, 105, 164, 304, 328], "maximum": [23, 37, 66, 69, 70, 71, 100, 104, 107, 108, 111, 119, 122, 148, 204, 205, 212, 215, 225, 238, 239, 242, 248, 254, 256, 258, 260, 262, 263, 278, 285, 313, 314, 327, 338], "manual": [23, 239, 340, 342], "jorisco": 23, "mix": [23, 105, 328], "split": [24, 37, 102, 105, 171, 208, 248, 258, 260, 313, 314, 321, 326, 337, 340], "rafii": [24, 151, 152, 304], "bass": [24, 43, 105, 328, 333], "drum": [24, 105, 328], "vocal": [24, 105, 328], "consist": [24, 25, 35, 118, 174, 175, 176, 177, 178, 258, 260, 297, 313, 314, 323, 338], "track": 24, "occur": [24, 118, 321, 327, 335], "respect": [24, 26, 30, 105, 211, 212, 261, 284, 328], "num": [24, 106, 113], "languag": [25, 116, 118, 120, 158, 174, 175, 176, 177, 178, 192, 193, 194, 287, 304, 321, 326, 335, 336, 338], "nnenglish": 25, "miro": [25, 304], "eval": [25, 313, 314, 323, 342], "albanian": 25, "basqu": 25, "czech": 25, "romanian": 25, "slovak": 25, "speech_commands_v0": 26, "02": [26, 49, 244, 312, 313, 315, 316, 321, 330, 333, 334, 342], "warden": [26, 304], "whole": [26, 61, 95, 100, 243, 314, 322, 342], "defin": [26, 75, 76, 85, 89, 212, 244, 245, 269, 270, 273, 274, 284, 292, 293, 297, 302, 311, 312, 313, 315, 318, 320, 322, 323, 326, 330, 331, 333, 335, 336, 337, 339, 340, 342], "validation_list": 26, "txt": [26, 30, 31, 118, 119, 313, 326], "testing_list": 26, "rest": [26, 327, 333, 340], "explain": [26, 58, 79, 315, 321, 332, 335], "readm": 26, "introduct": [26, 319], "paper": [26, 102, 115, 130, 142, 232, 287, 304, 313, 314, 321, 329, 335, 342], "audio_format": 27, "mp3": [27, 94, 95, 100, 235, 243, 285, 292, 319, 332, 338, 340], "couck": [27, 304], "insid": 27, "outsid": [27, 85, 269], "begin": [27, 208, 307, 312, 319, 321, 327, 338], "iob": 27, "intent": 27, "release1": 28, "audio_ext": [28, 29], "sph": [28, 319], "rousseau": [28, 231, 304], "2012": [28, 85, 231, 269, 304], "release2": 28, "release3": 28, "some": [28, 29, 83, 261, 271, 285, 288, 292, 295, 301, 307, 311, 312, 313, 314, 315, 320, 321, 322, 328, 329, 331, 333, 338, 339, 341], "talk": [28, 314, 315, 322], "identifi": [28, 284], "mic_id": 29, "mic2": 29, "3443": 29, "corpu": [29, 304, 327], "92": [29, 171, 304, 312, 313, 321, 326, 327, 342], "flac": [29, 94, 100, 243, 285, 319, 326], "microphon": [29, 211, 212, 284, 287, 292, 315, 322, 323, 337, 338], "mic1": 29, "convert": [29, 33, 37, 95, 100, 113, 159, 168, 170, 171, 213, 232, 233, 237, 240, 244, 248, 261, 284, 285, 293, 311, 313, 318, 321, 326, 330, 337, 338, 340, 342], "non": [29, 35, 77, 83, 100, 102, 104, 107, 109, 110, 115, 122, 150, 159, 163, 215, 219, 221, 222, 230, 231, 284, 285, 287, 292, 298, 304, 306, 314, 321, 322, 326, 333, 334, 340, 341], "p315": 29, "skip": [29, 100, 119, 130], "lack": [29, 284], "p280": 29, "p362": 29, "meta_url": [30, 31], "robot": [30, 31], "ox": [30, 31], "vgg": [30, 31], "voxceleb": [30, 31, 304], "meta": [30, 31, 152, 297], "iden_split": 30, "voxceleb1": [30, 31], "nagrani": [30, 31, 304], "identif": [30, 304], "row": [30, 31, 48, 314, 320, 330], "file_path": 30, "id10006": 30, "nlebbc9oif": 30, "00003": 30, "subest": 30, "structur": [30, 31, 291, 295, 301, 332], "speaker_id": [30, 31], "who": [30, 31, 314, 321, 331, 332], "vox1_dev_wav": [30, 31], "vox1_test_wav": [30, 31], "veri_test": 31, "verif": 31, "pair": [31, 35, 288, 314, 320], "indic": [31, 49, 69, 70, 106, 113, 114, 116, 208, 214, 245, 254, 278, 284, 285, 292, 293, 306, 313, 314, 335, 337, 338, 342], "file_path1": 31, "file_path2": 31, "id10270": 31, "x6uyqmx31k": 31, "00001": 31, "8jeajg6segi": 31, "00008": 31, "openslr": [32, 304], 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\ No newline at end of file
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312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342], "delta": [1, 45, 249, 320, 325], "439": 1, "reus": [1, 83], "receiv": [1, 112, 338, 339], "156": [1, 321, 327], "42": [1, 9, 10, 11, 159, 304, 313, 314, 316, 321, 327, 336, 338, 342], "kib": 1, "410": 1, "resolv": [1, 292, 314, 321], "out": [1, 4, 105, 253, 271, 294, 311, 314, 320, 322, 323, 327, 328, 332, 342], "detach": [1, 321, 326, 327, 328, 342], "head": [1, 101, 104, 122, 130, 134, 142, 215, 218, 220, 223, 225, 314], "state": [1, 104, 107, 108, 116, 159, 215, 284, 310, 313, 322, 323, 332, 343], "experiment": [1, 328, 332, 342], "commit": [1, 7], "discard": [1, 284], "ani": [1, 23, 93, 280, 284, 290, 314, 319, 321, 328, 332, 337, 342], "impact": 1, "branch": [1, 105, 109], "anoth": [1, 271, 314, 320, 326, 328, 332], "If": [1, 3, 4, 9, 10, 11, 17, 18, 23, 24, 25, 27, 33, 35, 37, 39, 40, 41, 54, 57, 64, 65, 71, 75, 76, 79, 80, 82, 85, 87, 88, 90, 91, 94, 95, 98, 100, 106, 108, 111, 113, 114, 116, 118, 119, 130, 142, 171, 200, 206, 207, 208, 210, 211, 212, 213, 214, 220, 223, 225, 238, 240, 241, 243, 244, 256, 257, 261, 262, 263, 266, 267, 269, 270, 271, 272, 273, 275, 276, 277, 279, 281, 284, 285, 287, 288, 292, 294, 306, 307, 308, 313, 319, 322, 323, 327, 330, 332, 335, 337, 338, 340], "want": [1, 3, 4, 54, 93, 280, 294, 306, 308, 314, 322, 326, 335, 338, 340], "creat": [1, 9, 10, 11, 23, 48, 62, 64, 66, 71, 80, 90, 116, 171, 200, 205, 206, 209, 213, 239, 241, 245, 255, 257, 258, 260, 263, 267, 274, 275, 288, 290, 313, 320, 321, 322, 323, 325, 328, 330, 332, 333, 340, 341, 342], "new": [1, 4, 83, 95, 116, 245, 301, 307, 314, 321, 331], "retain": [1, 48, 258, 260, 271], "mai": [1, 7, 37, 54, 62, 93, 94, 100, 167, 168, 169, 170, 248, 255, 258, 260, 261, 271, 280, 282, 284, 286, 306, 313, 314, 319, 322, 329, 332, 338, 340], "do": [1, 3, 4, 9, 10, 11, 267, 284, 294, 304, 308, 314, 319, 322, 326, 328, 330, 331, 332, 333, 337, 338], "now": [1, 2, 4, 244, 282, 286, 312, 313, 314, 320, 321, 326, 327, 330, 331, 333, 335, 338, 339, 340], "b": [1, 59, 62, 67, 101, 102, 104, 107, 118, 119, 198, 200, 215, 255, 259, 284, 285, 304, 313, 314, 315, 316, 319, 321, 324, 326, 327, 328, 329, 330, 332, 335, 336, 337, 340, 342], "command": [1, 2, 4, 16, 26, 243, 244, 245, 284, 285, 304, 315, 322, 326, 330, 338, 339, 340, 342], "again": [1, 314, 318, 332, 335, 339], "exampl": [1, 6, 30, 31, 45, 59, 69, 72, 78, 95, 101, 104, 111, 112, 114, 116, 118, 119, 137, 138, 159, 164, 165, 166, 167, 168, 169, 170, 171, 198, 199, 200, 204, 207, 215, 232, 233, 235, 237, 238, 239, 240, 241, 242, 244, 245, 246, 248, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 267, 269, 271, 272, 274, 275, 277, 278, 279, 280, 281, 282, 284, 285, 286, 288, 290, 294, 297, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 339, 341, 342], "315ad74": 1, "add": [1, 2, 4, 9, 10, 35, 75, 76, 82, 88, 105, 207, 244, 245, 247, 253, 266, 267, 270, 272, 273, 284, 285, 312, 313, 315, 322, 328, 330, 340, 342], "cumemcpi": 1, "sed": [1, 313], "usr": [1, 2], "local": [1, 2, 3, 4, 288, 308, 312, 319, 320, 325, 328, 333, 341], "ffnvcodec": 1, "pc": 1, "0755": 1, "d": [1, 2, 32, 59, 104, 105, 107, 108, 151, 152, 159, 171, 198, 200, 208, 212, 215, 287, 290, 304, 313, 314, 321, 324, 326, 327, 333, 335, 339, 340, 342], "includ": [1, 2, 4, 10, 18, 27, 59, 93, 130, 142, 214, 280, 284, 292, 313, 314, 319, 321, 326, 328], "0644": 1, "h": [1, 38, 75, 102, 171, 198, 200, 261, 270, 273, 284, 285, 304, 313, 314, 321, 325, 326, 327, 330, 335, 336, 337, 338, 342], "lib": [1, 2, 4, 342], "pkgconfig": 1, "next": [1, 159, 313, 314, 321, 322, 323, 325, 326, 327, 328, 330, 332, 333, 335, 337, 340], "dure": [1, 106, 108, 130, 142, 214, 285, 297, 306, 328, 332, 342], "minimum": [1, 9, 10, 11, 23, 37, 66, 71, 75, 76, 88, 130, 205, 223, 238, 239, 242, 248, 256, 258, 261, 262, 263, 270, 272, 273, 329, 330, 340], "yasm": [1, 4], "addition": [1, 284, 297, 320, 333], "h264": [1, 284, 285, 330, 338], "protocol": [1, 282, 285, 286, 307], "which": [1, 2, 4, 6, 17, 18, 22, 23, 33, 47, 56, 69, 70, 91, 94, 95, 105, 109, 110, 111, 114, 122, 142, 165, 166, 171, 198, 199, 200, 204, 210, 211, 212, 216, 218, 225, 232, 233, 250, 252, 256, 264, 276, 277, 282, 283, 284, 285, 286, 288, 290, 297, 307, 312, 313, 314, 315, 317, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 337, 338, 339, 340, 341, 342], "verifi": [1, 2, 306], "apt": [1, 2], "qq": 1, "updat": [1, 2, 4, 261, 327], "y": [1, 35, 38, 44, 47, 51, 56, 60, 81, 198, 200, 250, 252, 261, 270, 273, 284, 287, 304, 313, 314, 318, 320, 321, 326, 327, 330, 332, 335, 336, 337], "libx264": [1, 2, 282, 286, 331, 340], "dev": [1, 2, 14, 19, 20, 23, 25, 28, 30], "libgnutls28": 1, "omit": [1, 284, 338], "breviti": 1, "strip": [1, 2, 313, 326], "libavutil": [1, 2, 282, 286, 288, 324, 330, 331, 340], "share": [1, 2, 282, 286, 297], "set": [1, 3, 4, 9, 10, 11, 17, 23, 24, 44, 62, 75, 76, 85, 87, 93, 95, 102, 115, 118, 122, 151, 152, 164, 168, 208, 212, 218, 255, 261, 269, 270, 273, 280, 282, 283, 284, 285, 286, 288, 297, 304, 307, 312, 318, 320, 325, 326, 327, 328, 331, 332, 333, 335, 337, 338, 339, 342], "up": [1, 2, 4, 78, 98, 103, 119, 207, 208, 277, 279, 284, 304, 307, 312, 315, 318, 319, 322, 323, 327, 332, 335], "amd64": 1, "152": [1, 321, 327, 328, 334], "2854": 1, "gite9a5903": 1, "3": [1, 18, 28, 30, 70, 78, 79, 87, 102, 111, 120, 130, 142, 159, 200, 207, 211, 212, 216, 221, 222, 231, 243, 282, 283, 284, 285, 286, 288, 304, 307, 311, 312, 313, 314, 316, 317, 318, 320, 321, 324, 325, 326, 327, 330, 331, 333, 335, 337, 338, 340, 342], "2build1": 1, "libunbound2": 1, "1ubuntu2": 1, "libp11": 1, "kit": 1, "23": [1, 9, 10, 171, 174, 175, 176, 177, 178, 200, 260, 304, 313, 314, 321, 326, 327, 331, 334, 342], "9": [1, 165, 200, 207, 277, 279, 285, 288, 304, 312, 313, 314, 315, 317, 321, 325, 326, 327, 328, 330, 331, 332, 333, 336, 337, 340, 341, 342], "2ubuntu0": 1, "libtasn1": 1, "libgnutlsxx28": 1, "18": [1, 200, 207, 233, 304, 313, 321, 326, 327, 328, 332, 334, 336, 337, 342], "1ubuntu1": 1, "libgnutl": 1, "dane0": 1, "openssl27": 1, "libgmpxx4ldbl": 1, "dfsg": 1, "libidn2": 1, "1ubuntu0": 1, "libgmp": 1, "nettl": 1, "0ubuntu0": [1, 2], "trigger": [1, 93, 280, 284, 340], "man": [1, 314, 332], "db": [1, 33, 35, 43, 55, 58, 61, 77, 79, 92, 244, 247, 258, 260, 281, 329, 336, 341], "8": [1, 2, 4, 75, 76, 95, 100, 102, 104, 105, 114, 124, 128, 129, 131, 169, 170, 200, 207, 215, 242, 243, 269, 270, 273, 282, 284, 286, 288, 304, 311, 312, 313, 314, 321, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 337, 338, 340, 341, 342], "libc": 1, "bin": [1, 2, 4, 9, 10, 38, 62, 71, 78, 80, 90, 105, 111, 114, 118, 173, 205, 206, 211, 238, 239, 240, 241, 242, 255, 256, 257, 262, 263, 267, 270, 273, 274, 275, 282, 286, 297, 304, 313, 318, 326], "27": [1, 171, 200, 304, 313, 321, 326, 327, 328, 331, 333, 334, 336, 338, 342], "3ubuntu1": 1, "download": [1, 2, 4, 6, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 120, 159, 165, 166, 171, 198, 199, 200, 233, 235, 288, 294, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "sourc": [1, 2, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 151, 152, 153, 154, 155, 156, 157, 159, 164, 165, 166, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 233, 235, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 290, 292, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 339, 340, 341, 342], "wget": [1, 2], "q": [1, 36, 40, 41, 42, 43, 55, 63, 68, 92, 198, 200, 304, 313, 314, 321, 322, 323, 326, 327, 335, 339, 341], "archiv": 1, "ref": [1, 33, 328], "n4": [1, 288], "tar": [1, 17, 21, 32, 319], "gz": [1, 17, 32, 319], "xf": 1, "provid": [1, 2, 3, 4, 64, 95, 100, 106, 113, 114, 116, 130, 142, 159, 165, 166, 171, 198, 199, 200, 214, 220, 223, 225, 233, 243, 244, 261, 271, 279, 284, 285, 287, 292, 293, 295, 298, 301, 307, 313, 314, 315, 316, 318, 319, 320, 321, 322, 324, 327, 328, 330, 331, 335, 336, 337, 338, 339, 340, 342], "flag": [1, 7], "like": [1, 3, 4, 7, 94, 100, 158, 165, 166, 207, 233, 243, 244, 283, 284, 285, 297, 306, 307, 313, 314, 315, 320, 326, 330, 331, 335, 342], "l": [1, 35, 47, 56, 59, 102, 116, 117, 171, 198, 200, 247, 250, 252, 304, 313, 314, 321, 325, 326, 327, 335, 342], "lib64": 1, "let": [1, 284, 285, 314, 315, 318, 321, 325, 326, 327, 330, 331, 333, 335, 338, 341], "know": [1, 314, 319, 330, 331, 338], "where": [1, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 38, 45, 47, 56, 59, 62, 69, 70, 75, 76, 87, 95, 100, 116, 117, 203, 208, 211, 212, 216, 233, 250, 252, 255, 261, 270, 273, 275, 279, 284, 285, 312, 313, 314, 319, 320, 327, 328, 330, 332, 333, 336, 338, 342], "nvcc": 1, "75": [1, 46, 313, 314, 320, 321, 324, 327, 328, 335, 337], "script": [1, 4, 18, 149, 150, 167, 168, 169, 170, 230, 231, 245, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "sampl": [1, 2, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 69, 70, 71, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 108, 111, 114, 123, 124, 125, 159, 164, 165, 166, 172, 173, 198, 199, 200, 203, 205, 206, 210, 212, 214, 221, 222, 223, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 254, 256, 258, 259, 260, 262, 263, 267, 274, 277, 278, 280, 284, 285, 297, 313, 314, 315, 316, 318, 319, 320, 322, 328, 332, 333, 335, 338, 339, 340, 342], "By": [1, 2, 3, 4, 100, 258, 260, 318, 319, 320, 330, 337, 338, 339, 340, 341], "old": [1, 284, 314, 338], "30": [1, 52, 58, 78, 171, 313, 314, 315, 321, 323, 327, 328, 330, 332, 334, 337, 338, 340, 342], "longer": [1, 320, 328, 332, 342], "correct": [1, 94, 243, 282, 286, 288, 306, 319, 327], "ccap": 1, "extra": [1, 2, 9, 10, 131, 132, 142, 152, 154, 157, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 307, 321, 328, 331, 336], "cflag": 1, "ldflag": 1, "nvccflag": 1, "gencod": 1, "arch": [1, 2, 282, 286], "compute_": 1, "sm_": 1, "o2": 1, "aac": [1, 282, 286, 338, 339], "h264_cuvid": [1, 284, 330], "rawvideo": [1, 323, 337], "indev": [1, 322, 337], "lavfi": [1, 282, 286, 330, 331, 337, 339], "h264_nvenc": [1, 285, 331], "demux": [1, 282, 284, 286, 339], "mov": [1, 340], "muxer": [1, 282, 285, 286, 339, 340], "mp4": [1, 285, 307, 330, 331, 337, 338, 339, 340], "filter": [1, 2, 36, 40, 41, 42, 44, 50, 53, 55, 57, 63, 65, 66, 68, 71, 83, 95, 111, 205, 206, 208, 209, 212, 213, 238, 239, 240, 241, 242, 245, 256, 258, 260, 262, 263, 271, 279, 284, 287, 304, 312, 330, 334, 338], "scale": [1, 10, 33, 35, 37, 62, 71, 73, 74, 103, 104, 105, 106, 114, 122, 130, 158, 159, 171, 205, 215, 225, 238, 239, 242, 247, 248, 255, 256, 258, 260, 262, 263, 264, 265, 304, 311, 318, 320, 321, 325, 326, 329, 330, 333, 336, 338, 341], "testsrc2": [1, 331], "file": [1, 4, 9, 10, 11, 14, 16, 18, 23, 25, 26, 27, 28, 29, 30, 31, 39, 94, 100, 114, 118, 119, 120, 171, 198, 199, 200, 203, 233, 243, 244, 245, 282, 284, 285, 286, 287, 288, 290, 304, 305, 307, 321, 326, 328, 331, 332, 334, 337, 342], "gnutl": [1, 2], "gpl": [1, 2, 282, 286], "nonfre": 1, "cuvid": [1, 330], "path": [1, 4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 94, 100, 118, 120, 203, 243, 244, 245, 284, 285, 288, 313, 314, 316, 317, 319, 323, 328, 330, 332, 335, 338, 339, 340], "glibc": 1, "x86": [1, 4], "gener": [1, 4, 7, 9, 10, 11, 23, 56, 57, 102, 104, 106, 107, 108, 111, 116, 117, 122, 159, 160, 171, 173, 200, 201, 204, 210, 212, 214, 215, 216, 218, 226, 227, 228, 229, 232, 233, 238, 239, 240, 241, 245, 248, 252, 258, 260, 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114, 121, 130, 134, 142, 159, 205, 207, 208, 211, 213, 215, 216, 218, 220, 223, 238, 239, 240, 241, 242, 243, 244, 245, 255, 256, 257, 258, 260, 262, 263, 267, 269, 274, 275, 283, 284, 285, 312, 315, 319, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 338, 340, 341, 342], "static": [1, 130, 223, 282, 286], "postprocess": 1, "network": [1, 85, 101, 104, 107, 108, 112, 114, 122, 215, 218, 220, 223, 225, 269, 282, 286, 297, 304, 313, 319, 323, 329, 336], "thread": [1, 284, 285, 320, 330, 331, 339], "pthread": [1, 282, 286], "safe": 1, "bitstream": [1, 15, 29], "reader": [1, 284], "texi2html": 1, "perl": 1, "pod2man": 1, "makeinfo": 1, "extern": [1, 232, 233, 331, 335], "alsa": 1, "lzma": 1, "bzlib": 1, "libxcb": 1, "zlib": [1, 282, 286], "libxcb_shap": 1, "iconv": 1, "libxcb_xfix": 1, "cuda_llvm": 1, "v4l2_m2m": 1, "cuda_nvcc": 1, "avcodec": 1, "avformat": 1, "swscale": 1, "avdevic": 1, "avutil": [1, 288], "avfilt": 1, "swresampl": 1, "program": [1, 4, 340], "ffprobe": 1, 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322, 323, 336], "j": [1, 4, 198, 200, 287, 304, 313, 314, 321, 326, 327, 332, 335, 336, 337, 338], "libavdevic": [1, 2, 98, 324, 330, 331, 337, 340], "libavfilt": [1, 2, 282, 286, 324, 330, 331, 337, 338, 339, 340], "libavformat": [1, 2, 282, 286, 324, 330, 331, 340], "libavcodec": [1, 2, 324, 330, 331, 340], "libswresampl": 1, "libswscal": 1, "built": [1, 2, 4, 239, 241, 255, 257, 263, 267, 274, 275], "hide_bann": 1, "grep": [1, 2], "vf": 1, "264": [1, 284, 313, 330, 338], "avc": [1, 284, 338], "mpeg": [1, 94, 284, 319, 332, 338, 340], "part": [1, 7, 160, 161, 172, 173, 208, 211, 216, 284, 285, 313, 314, 321, 326, 330, 332, 337, 338], "v": [1, 2, 3, 4, 37, 69, 70, 75, 198, 200, 248, 258, 260, 261, 270, 282, 284, 286, 287, 304, 313, 314, 320, 321, 324, 326, 327, 329, 330, 331, 335, 340], "fetch": [1, 23, 100, 243, 284, 292, 313, 314, 319, 322, 327, 335, 338, 339, 342], "server": [1, 285, 322, 338], "re": [1, 304, 312, 314, 324, 326, 332, 333, 337, 341, 342], "doe": [1, 4, 100, 158, 167, 168, 169, 170, 210, 245, 271, 282, 284, 285, 286, 304, 306, 307, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "an": [1, 7, 9, 10, 37, 46, 54, 57, 59, 64, 65, 73, 94, 112, 118, 119, 120, 137, 138, 142, 152, 159, 171, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 199, 200, 225, 232, 233, 243, 248, 253, 257, 258, 260, 261, 264, 265, 267, 282, 284, 285, 286, 288, 297, 298, 304, 306, 308, 312, 313, 314, 318, 319, 320, 321, 323, 324, 325, 326, 328, 329, 330, 331, 332, 333, 336, 337, 338, 340, 341, 342], "issu": [1, 239, 284, 288, 307, 321, 324, 328, 331, 332, 342], "would": [1, 9, 10, 11, 66, 71, 159, 165, 166, 205, 233, 284, 288, 314, 321, 332, 335], "abl": [1, 47, 56, 245, 250, 252, 313, 314, 319, 331], "either": [1, 4, 29, 48, 57, 58, 65, 90, 118, 171, 243, 261, 285, 313, 314, 324, 338, 342], "src": [1, 243, 284, 292, 312, 315, 317, 318, 319, 321, 322, 323, 324, 327, 328, 330, 331, 332, 335, 336, 337, 338, 339, 340], "asset": [1, 313, 314, 315, 317, 318, 319, 321, 323, 324, 326, 327, 328, 329, 330, 332, 335, 336, 337, 338, 339, 340], "stream": [1, 104, 107, 108, 122, 150, 159, 215, 230, 231, 261, 285, 287, 290, 291, 293, 298, 304, 319, 322, 323, 324, 330, 331], "nasas_most_scientifically_complex_space_observatory_requires_precis": [1, 330, 337, 338, 339], "mp4_small": [1, 330, 339], "vsync": 1, "hwaccel_output_format": 1, "resiz": [1, 323], "360x240": 1, "copi": [1, 288, 330, 340], "5m": [1, 313, 314, 321, 328, 336, 342], "mean": [1, 9, 10, 11, 26, 30, 31, 60, 66, 71, 85, 88, 106, 110, 148, 205, 210, 269, 272, 306, 314, 318, 320, 323, 327, 328, 329, 330, 331, 337, 340, 342], "input": [1, 9, 10, 11, 33, 35, 37, 39, 44, 47, 54, 56, 59, 64, 69, 70, 73, 74, 78, 79, 80, 82, 83, 85, 88, 90, 91, 93, 94, 95, 100, 101, 102, 103, 104, 105, 106, 108, 109, 110, 111, 112, 114, 116, 122, 130, 134, 142, 159, 160, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 198, 199, 206, 208, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 233, 235, 236, 237, 242, 243, 244, 245, 247, 248, 250, 252, 254, 256, 257, 258, 260, 261, 264, 266, 267, 269, 275, 276, 277, 278, 279, 280, 282, 284, 285, 286, 287, 292, 297, 311, 313, 318, 319, 322, 323, 324, 325, 326, 329, 330, 332, 338, 339, 340, 342], "m4a": 1, "3gp": 1, "3g2": 1, "mj2": 1, "metadata": [1, 14, 16, 18, 19, 23, 25, 26, 27, 30, 31, 203, 284, 285, 292, 323, 332, 338], "major_brand": [1, 338], "mp42": [1, 338], "minor_vers": [1, 338], "compatible_brand": [1, 338], "mp42iso2avc1mp41": 1, "lavf58": 1, "76": [1, 312, 313, 321, 327, 330, 333, 335, 340, 342], "durat": [1, 9, 10, 11, 52, 93, 106, 113, 114, 204, 211, 244, 280, 312, 321, 331, 333, 341], "start": [1, 2, 3, 34, 88, 93, 100, 105, 114, 116, 130, 204, 206, 221, 222, 223, 233, 240, 241, 272, 280, 288, 308, 312, 313, 320, 321, 322, 323, 325, 326, 327, 328, 332, 333, 335, 339, 340, 341, 342], "000000": [1, 337], "bitrat": [1, 95, 243], "1294": 1, "kb": 1, "eng": [1, 338], "high": [1, 9, 10, 213, 271, 304, 314, 321, 322, 326, 327, 331, 332, 338], "avc1": 1, "0x31637661": 1, "yuv420p": [1, 284, 330, 338, 340], "tv": 1, "bt709": 1, "960x540": [1, 330, 338], "sar": 1, "dar": 1, "16": [1, 94, 95, 100, 102, 125, 164, 171, 200, 207, 215, 243, 282, 284, 285, 286, 304, 313, 319, 321, 322, 326, 327, 328, 330, 332, 335, 336, 338, 340, 342], "1156": 1, "29": [1, 171, 313, 321, 327, 330, 331, 333, 337, 338, 342], "97": [1, 9, 10, 11, 51, 81, 239, 251, 268, 313, 321, 326, 327, 330, 336], "fp": [1, 330, 331, 337, 338], "tbr": 1, "30k": 1, "tbn": 1, "59": [1, 171, 313, 314, 321, 327, 328, 332, 336, 338, 342], "94": [1, 313, 314, 321, 327, 328], "tbc": 1, "handler_nam": [1, 338], "mainconcept": [1, 338], "media": [1, 284, 285, 287, 292, 307, 325, 332, 337, 339, 340], "handler": [1, 338], "vendor_id": [1, 338], "lc": 1, "mp4a": 1, "0x6134706d": 1, "48000": [1, 50, 84, 320, 322, 323, 337, 338], "hz": [1, 36, 40, 41, 42, 43, 52, 55, 58, 63, 66, 68, 71, 79, 84, 92, 205, 207, 210, 244, 245, 285, 312, 320, 333, 336, 337, 338], "stereo": [1, 324, 340], "fltp": [1, 284, 322, 332, 337, 338, 340], "128": [1, 101, 102, 104, 111, 114, 192, 193, 194, 224, 236, 238, 239, 242, 243, 256, 258, 262, 263, 318, 320, 321, 324, 325, 327, 337, 338, 340], "sound": [1, 17, 46, 93, 204, 211, 212, 280, 284, 315, 322, 328, 329, 333, 338, 340], "map": [1, 28, 64, 90, 107, 116, 118, 119, 200, 257, 275, 282, 283, 284, 285, 286, 313, 314, 320, 321, 326, 332, 342], "press": [1, 339], "stop": [1, 111, 113, 211, 242, 284, 319, 320, 322, 339], "help": [1, 4, 93, 244, 280, 320, 331, 336, 339], "output": [1, 5, 9, 10, 11, 33, 35, 37, 39, 44, 51, 54, 56, 57, 59, 62, 64, 65, 77, 79, 81, 85, 93, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 111, 113, 114, 115, 116, 117, 136, 143, 144, 145, 146, 147, 148, 159, 160, 198, 200, 201, 204, 206, 210, 211, 212, 215, 218, 219, 220, 221, 222, 223, 224, 225, 236, 248, 252, 255, 257, 258, 260, 261, 269, 271, 280, 282, 284, 285, 286, 292, 293, 313, 314, 315, 321, 326, 328, 329, 330, 331, 335, 336, 337, 339, 342], "progress": [1, 342], "31": [1, 101, 111, 171, 313, 315, 320, 321, 326, 327, 330, 336, 342], "5000": [1, 207, 320], "lavc58": 1, "134": [1, 313, 321, 327], "side": [1, 64, 89, 90, 239, 241, 257, 263, 274, 275, 314, 328, 340], "cpb": 1, "max": [1, 23, 37, 47, 56, 58, 59, 85, 101, 104, 107, 111, 118, 172, 173, 212, 215, 250, 252, 269, 312, 327, 333, 341], "min": [1, 23, 47, 56, 69, 70, 250, 252, 313, 336], "avg": 1, "5000000": 1, "buffer": [1, 94, 100, 243, 283, 284, 285, 319, 331, 338, 340], "10000000": 1, "vbv_delai": 1, "frame": [1, 9, 10, 11, 24, 52, 62, 64, 78, 80, 88, 89, 90, 94, 95, 100, 101, 102, 104, 106, 107, 108, 111, 113, 114, 116, 117, 119, 122, 130, 159, 200, 204, 214, 215, 218, 225, 239, 241, 253, 255, 257, 263, 267, 272, 274, 275, 279, 284, 285, 292, 313, 314, 315, 319, 322, 323, 331, 332, 335, 336, 338, 339, 340], "6175": [1, 338], "1712": 1, "lsize": 1, "37935kb": 1, "time": [1, 7, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 49, 50, 52, 53, 55, 57, 58, 59, 61, 62, 63, 64, 65, 67, 68, 69, 70, 72, 77, 78, 79, 80, 82, 83, 84, 88, 89, 90, 91, 92, 93, 95, 98, 100, 102, 103, 105, 108, 109, 110, 111, 113, 114, 116, 117, 122, 159, 173, 201, 204, 207, 208, 210, 211, 214, 216, 220, 223, 238, 239, 240, 241, 242, 243, 244, 245, 249, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 304, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 335, 336, 337, 338, 340, 341, 342], "1508": 1, "5kbit": 1, "speed": [1, 58, 78, 79, 119, 211, 212, 244, 245, 277, 279, 314, 315, 320, 330, 331], "57": [1, 304, 313, 314, 321, 327, 328, 332, 338, 342], "1x": 1, "34502kb": 1, "3234kb": 1, "subtitl": [1, 284, 292], "0kb": 1, "other": [1, 4, 9, 10, 14, 19, 20, 24, 39, 93, 100, 105, 153, 154, 155, 158, 179, 180, 181, 182, 183, 184, 187, 188, 189, 198, 199, 200, 244, 245, 261, 280, 284, 288, 292, 297, 304, 313, 314, 318, 319, 321, 323, 327, 328, 330, 332, 335, 338, 340], "global": [1, 204, 285, 307, 310, 320, 322, 332, 343], "mux": [1, 339], "overhead": [1, 322, 330], "526932": 1, "onc": [1, 95, 271, 284, 285, 319, 323, 324, 327, 328, 335, 338, 340, 342], "properli": [1, 284, 322], "pick": [1, 285, 319, 327, 335], "correctli": [1, 306, 330, 331, 342], "There": [1, 288, 294, 313, 319, 321, 323, 326, 327, 333, 335, 338, 339], "queri": [1, 287, 291, 304, 310], "ffmpeg_util": [1, 2, 100, 243, 324, 330, 331, 340], "get_video_decod": [1, 284, 330], "get_video_encod": [1, 285, 331], "often": [1, 4, 330, 331, 335, 340], "case": [1, 4, 94, 165, 166, 208, 233, 284, 285, 297, 304, 306, 319, 320, 321, 322, 327, 328, 330, 331, 332, 333, 338, 340, 342], "multipl": [1, 3, 4, 6, 79, 83, 95, 191, 192, 193, 194, 285, 288, 307, 319, 320, 321, 323, 325, 326, 327, 330, 335, 337, 338, 340], "load": [1, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 75, 76, 87, 114, 137, 138, 164, 165, 166, 198, 199, 200, 203, 233, 235, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 258, 259, 260, 261, 262, 263, 264, 265, 267, 270, 271, 272, 273, 274, 275, 280, 281, 282, 284, 287, 305, 313, 314, 315, 318, 320, 321, 323, 324, 326, 327, 328, 330, 332, 338, 339, 340, 342], "differ": [1, 4, 23, 37, 57, 65, 95, 106, 113, 114, 158, 165, 166, 171, 198, 199, 200, 208, 210, 232, 233, 242, 243, 244, 245, 248, 254, 258, 260, 278, 284, 285, 288, 297, 306, 307, 312, 313, 314, 315, 318, 319, 321, 322, 323, 325, 328, 330, 331, 333, 335, 336, 337, 338, 339, 340, 342], "than": [1, 39, 49, 56, 91, 100, 101, 208, 220, 223, 244, 252, 271, 276, 277, 284, 285, 313, 314, 320, 321, 322, 330, 331, 332, 335, 340], "expect": [1, 7, 9, 10, 11, 37, 62, 73, 74, 78, 98, 118, 119, 122, 134, 159, 165, 166, 173, 198, 199, 200, 235, 255, 264, 279, 284, 285, 313, 322, 326, 328, 331, 332, 335, 338, 340, 342], "get_build_config": [1, 2], "get_vers": [1, 324, 330, 331, 340], "get": [1, 2, 3, 4, 9, 10, 16, 18, 19, 23, 25, 26, 27, 30, 31, 94, 116, 200, 203, 244, 246, 261, 282, 283, 284, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 321, 322, 323, 325, 329, 333, 335, 336, 338, 339, 340, 341], "inform": [1, 4, 94, 165, 166, 171, 198, 199, 200, 210, 233, 282, 284, 286, 292, 297, 298, 304, 307, 323, 332, 335, 338], "about": [1, 284, 292, 313, 314, 338, 339, 342], "import": [1, 2, 137, 138, 159, 164, 165, 166, 171, 198, 199, 200, 233, 235, 271, 298, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "print": [1, 2, 159, 164, 165, 166, 171, 198, 282, 286, 304, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "nbuild": 1, "config": [1, 2, 4, 95, 282, 286, 291, 319, 324, 331, 340], "ndecod": 1, "k": [1, 171, 198, 200, 282, 286, 304, 312, 313, 314, 321, 324, 326, 327, 330, 331, 333, 335, 338, 340, 342], "kei": [1, 23, 284, 290, 314, 319, 322, 330, 331, 338, 342], "nencod": 1, "56": [1, 191, 282, 286, 312, 313, 314, 321, 327, 328, 332, 336], "58": [1, 304, 313, 321, 324, 327, 330, 331, 332, 340, 342], "54": [1, 171, 313, 314, 321, 326, 327, 330, 332, 336, 338, 342], "toolchain": [1, 2, 4], "harden": [1, 2], "libdir": [1, 2], "x86_64": [1, 3, 4, 282, 286], "gnu": [1, 2], "incdir": [1, 2], "avresampl": [1, 2], "resampl": [1, 2, 95, 165, 166, 198, 199, 200, 235, 244, 245, 284, 285, 287, 304, 306, 311, 313, 317, 318, 334, 335, 336, 338], "avisynth": [1, 2], "ladspa": [1, 2], "libaom": [1, 2, 282, 286], "libass": [1, 2], "libblurai": [1, 2], "libbs2b": [1, 2], "libcaca": [1, 2], "libcdio": [1, 2], "libcodec2": [1, 2], "libflit": [1, 2], "libfontconfig": [1, 2], "libfreetyp": [1, 2, 282, 286], "libfribidi": [1, 2], "libgm": [1, 2], "libgsm": [1, 2], "libjack": [1, 2], "libmp3lam": [1, 2, 282, 285, 286, 340], "libmysofa": [1, 2], "libopenjpeg": [1, 2], "libopenmpt": [1, 2], "libopu": [1, 2], "libpuls": [1, 2], "librsvg": [1, 2], "librubberband": [1, 2], "libshin": [1, 2], "libsnappi": [1, 2], "libsoxr": [1, 2], "libspeex": [1, 2], "libssh": [1, 2], "libtheora": [1, 2], "libtwolam": [1, 2], "libvidstab": [1, 2], "libvorbi": [1, 2, 285], "libvpx": [1, 2, 282, 286], "libwavpack": [1, 2], "libwebp": [1, 2], "libx265": [1, 2, 282, 286], "libxml2": [1, 2, 282, 286], "libxvid": [1, 2], "libzmq": [1, 2], "libzvbi": [1, 2], "lv2": [1, 2], "omx": [1, 2], "open": [1, 2, 4, 284, 290, 291, 304, 314, 319, 321, 326, 328, 331, 332, 337, 339, 340, 342], "opencl": [1, 2], "opengl": [1, 2, 339], "sdl2": [1, 2, 339], "libdc1394": [1, 2], "libdrm": [1, 2], "libiec61883": [1, 2], "chromaprint": [1, 2], "frei0r": [1, 2], "hevc_cuvid": [1, 330], "mjpeg_cuvid": [1, 330], "mpeg1_cuvid": [1, 330], "mpeg2_cuvid": [1, 330], "mpeg4_cuvid": [1, 330], "vc1_cuvid": [1, 330], "vp8_cuvid": [1, 330], "vp9_cuvid": [1, 330], "nvenc_h264": 1, "nvenc_hevc": 1, "hevc_nvenc": [1, 331], "fine": [1, 22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 224, 225, 306, 322, 331, 335], "collect": [2, 23, 323, 328], "relat": [2, 4, 284, 285, 328, 332, 342], "nvidia": [2, 4, 111, 330, 331, 342], "embed": [2, 105, 111, 122, 130, 142, 148, 218, 220, 223, 304], "learn": [2, 105, 110, 111, 136, 191, 219, 221, 222, 263, 287, 297, 304, 328, 335, 336], "agx": 2, "orin": 2, "devkit": 2, "date": [2, 4, 307], "instruct": [2, 3, 4, 149, 150, 151, 152, 162, 163, 230, 231, 232, 312, 325, 333, 341], "bash": [2, 4, 326, 342], "echo": [2, 95, 315, 326], "deb": 2, "repo": [2, 342], "common": [2, 8, 162, 163, 282, 286, 292, 295, 301, 304, 311, 312, 316, 318, 319, 328, 330, 333, 338, 342], "r34": 2, "etc": [2, 62, 90, 239, 241, 244, 255, 263, 275, 282, 286, 339, 340], "l4t": 2, "t234": 2, "dist": 2, "upgrad": 2, "reboot": 2, "stabl": [2, 7, 248], "b118": 2, "arm64": [2, 3, 282, 286], "automat": [2, 159, 171, 244, 245, 285, 287, 288, 304, 330, 335, 340], "243": 2, "14": [2, 171, 200, 288, 304, 313, 319, 320, 321, 324, 326, 327, 330, 332, 334, 336, 337, 338, 342], "libcudnn8": 2, "49": [2, 313, 314, 321, 327, 330, 331, 332, 336, 342], "cuda11": 2, "cudnn8": 2, "tegra": 2, "gpu": [2, 4, 117, 287, 320, 330, 331, 342], "isntal": 2, "onli": [2, 3, 4, 9, 10, 11, 49, 56, 59, 62, 64, 65, 75, 76, 87, 88, 90, 93, 98, 100, 111, 114, 116, 137, 198, 212, 243, 244, 245, 252, 254, 255, 256, 261, 266, 270, 272, 273, 278, 280, 282, 284, 285, 286, 288, 292, 308, 312, 313, 314, 318, 319, 320, 322, 326, 328, 332, 335, 336, 340, 342], "super": [2, 244, 245, 311, 313, 323, 335], "sure": [2, 4, 164, 232, 288, 323], "u": [2, 4, 75, 76, 107, 198, 200, 261, 270, 273, 284, 290, 313, 314, 321, 326, 327, 330, 331, 335], "won": [2, 288, 332, 342], "priviledg": 2, "pip3": [2, 328, 329, 336, 342], "ones": [2, 104, 115, 215, 232, 285, 312, 325, 333, 335, 341], "from": [2, 3, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 37, 49, 62, 64, 65, 69, 70, 72, 74, 85, 90, 93, 95, 100, 105, 108, 110, 111, 112, 113, 114, 115, 116, 126, 127, 128, 129, 130, 131, 132, 137, 138, 139, 140, 141, 142, 152, 153, 154, 155, 156, 157, 158, 159, 160, 164, 165, 166, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 198, 199, 200, 201, 204, 206, 208, 209, 210, 211, 214, 219, 221, 222, 232, 233, 234, 235, 240, 241, 242, 243, 244, 248, 254, 255, 256, 257, 258, 260, 261, 265, 267, 269, 271, 275, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 290, 292, 293, 294, 297, 298, 304, 307, 312, 313, 314, 315, 317, 318, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "directori": [2, 4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 288, 292, 293, 328], "its": [2, 13, 26, 35, 51, 75, 76, 81, 87, 111, 118, 207, 208, 211, 251, 268, 270, 273, 284, 285, 297, 307, 312, 313, 315, 319, 320, 323, 326, 327, 328, 332, 337, 338, 340, 342], "site": [2, 342], "packag": [2, 4, 288, 297, 304, 308, 317, 318, 319, 326, 327, 342], "protect": [2, 340], "cannot": [2, 94, 208, 282, 286, 288, 292, 293, 325, 332, 338], "modifi": [2, 46, 62, 78, 255, 279, 304], "One": [2, 17, 53, 95, 137, 261, 281, 284, 285, 321, 322, 330, 340, 342], "wai": [2, 4, 9, 10, 11, 244, 245, 288, 297, 311, 314, 315, 318, 321, 322, 323, 328, 331, 335, 338], "workaround": [2, 3, 4, 284, 342], "forum": 2, "python": [2, 3, 4, 49, 93, 117, 130, 142, 148, 201, 207, 263, 280, 284, 285, 288, 292, 293, 304, 306, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "modul": [2, 4, 58, 79, 101, 106, 107, 109, 110, 113, 134, 137, 138, 159, 164, 171, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 199, 200, 214, 215, 220, 223, 233, 245, 250, 252, 261, 270, 273, 277, 282, 283, 286, 287, 288, 290, 295, 297, 298, 301, 306, 307, 308, 310, 311, 313, 315, 318, 319, 320, 323, 328, 329, 332, 335, 336, 337, 342, 343], "folder": [2, 4, 30, 31, 323], "181321": 2, "bootstrap": 2, "pypa": 2, "io": [2, 3, 4, 39, 95, 96, 97, 98, 263, 282, 284, 285, 286, 287, 288, 291, 315, 319, 322, 323, 324, 330, 331, 332, 337, 338, 339, 340], "after": [2, 4, 73, 74, 90, 95, 105, 111, 113, 118, 119, 130, 134, 142, 204, 207, 208, 214, 219, 220, 221, 222, 223, 224, 225, 239, 241, 244, 245, 261, 263, 275, 313, 314, 315, 321, 322, 330, 333], "point": [2, 9, 10, 13, 93, 94, 100, 243, 280, 284, 285, 313, 314, 315, 319, 322, 323, 327, 329, 331, 337, 338, 340], "home": [2, 4, 159, 164, 304, 314], "As": [2, 17, 312, 318, 321, 322, 328, 332, 337, 342], "pre": [2, 3, 4, 30, 31, 81, 102, 105, 106, 107, 149, 151, 152, 153, 154, 155, 156, 157, 159, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 214, 221, 222, 223, 230, 231, 232, 234, 235, 268, 271, 287, 295, 297, 301, 304, 314, 321, 326, 327, 328, 332, 335, 336, 342], "nidia": 2, "custom": [2, 29, 116, 118, 130, 134, 136, 142, 148, 207, 220, 223, 225, 232, 284, 292, 293, 311, 321], "specif": [2, 3, 4, 35, 90, 152, 159, 275, 284, 285, 288, 297, 323, 327, 328, 330, 335, 337, 338, 342], "deeplearn": 2, "framework": [2, 304], "platform": [2, 304], "torch": [2, 6, 35, 36, 40, 41, 42, 43, 44, 45, 47, 51, 55, 56, 60, 63, 67, 68, 75, 76, 78, 80, 81, 82, 87, 91, 92, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 112, 113, 116, 117, 137, 138, 159, 160, 164, 165, 166, 171, 198, 199, 200, 203, 204, 205, 206, 207, 210, 211, 212, 215, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 250, 251, 252, 255, 256, 257, 259, 261, 263, 266, 267, 268, 269, 270, 271, 273, 274, 275, 276, 277, 284, 285, 288, 290, 292, 305, 306, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "0a0": 2, "340c4120": 2, "nv22": 2, "06": [2, 199, 313, 320, 321, 327, 331, 336, 338, 341], "cp38": 2, "linux_aarch64": 2, "whl": [2, 336], "redist": 2, "jp": 2, "v50": 2, "cach": [2, 198, 199, 200, 233, 235, 271, 313, 320, 321, 322, 332, 335, 342], "devic": [2, 15, 98, 108, 159, 204, 271, 282, 284, 285, 286, 287, 289, 297, 304, 309, 311, 314, 320, 321, 326, 327, 328, 330, 331, 334, 335, 338, 340, 342], "access": [2, 4, 165, 166, 171, 198, 199, 200, 233, 284, 285, 297, 313, 314, 316, 322, 327, 328, 335], "__version__": [2, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "is_avail": [2, 321, 326, 327, 328, 335, 342], "empti": [2, 28, 284, 313, 333, 339], "410ce96a": 2, "12": [2, 4, 26, 80, 171, 200, 207, 215, 240, 241, 267, 288, 304, 313, 314, 321, 326, 327, 329, 330, 331, 333, 337, 338, 342], "true": [2, 6, 9, 10, 11, 13, 17, 39, 40, 41, 47, 56, 57, 62, 64, 65, 75, 76, 79, 82, 85, 87, 88, 90, 95, 100, 104, 105, 111, 122, 130, 142, 159, 200, 206, 213, 215, 218, 225, 238, 239, 240, 241, 242, 243, 244, 245, 248, 250, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 269, 270, 271, 272, 273, 274, 275, 280, 281, 283, 284, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 327, 328, 329, 330, 331, 332, 333, 336, 337, 338, 339, 340, 341, 342], "e": [2, 3, 4, 9, 10, 11, 36, 40, 41, 42, 43, 49, 53, 55, 57, 58, 62, 63, 65, 68, 79, 81, 84, 90, 92, 93, 107, 109, 110, 130, 142, 159, 171, 176, 192, 193, 194, 198, 200, 208, 233, 239, 241, 243, 255, 261, 263, 275, 277, 280, 282, 284, 285, 286, 287, 298, 304, 313, 314, 318, 319, 321, 322, 323, 326, 327, 335, 336, 338, 339, 342], "pep517": [2, 3, 4], "2ead941": 2, "aarch64": [2, 3], "folllow": 3, "en": [3, 4, 36, 40, 41, 42, 43, 44, 55, 63, 67, 68, 92, 175, 259, 304, 312, 314, 325, 332, 338, 341], "miniconda": [3, 4], "select": [3, 26, 94, 100, 243, 261, 304, 307, 329, 337, 341], "version": [3, 4, 15, 28, 59, 95, 115, 121, 123, 124, 125, 210, 217, 234, 282, 286, 288, 304, 312, 323, 328, 330, 331, 339, 340, 342], "nightli": [3, 4, 312, 325, 333, 336, 341], "setup": [3, 4, 320], "due": [3, 4, 29, 130, 284, 323, 328], "complex": [3, 4, 38, 64, 75, 76, 78, 82, 86, 87, 90, 130, 223, 257, 261, 266, 270, 273, 275, 279, 284, 295, 301, 304, 320, 329], "place": [3, 4, 208, 284, 314, 320, 330], "pip": [3, 4, 288, 317, 318, 319, 323], "tri": [3, 4], "architectur": [3, 4, 101, 102, 103, 104, 112, 143, 144, 145, 146, 147, 148, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 195, 196, 197, 215, 219, 221, 222, 227, 228, 229, 304, 323], "your": [3, 4, 167, 168, 169, 170, 271, 294, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 340, 341, 342], "those": [3, 23, 35, 47, 56, 250, 252, 314, 315, 321, 332, 338], "fail": [3, 4, 284, 307, 312, 322, 331, 333, 337, 338, 341], "switch": [3, 4], "singl": [3, 4, 37, 38, 79, 94, 114, 130, 142, 245, 261, 270, 273, 284, 285, 297, 315, 319, 329, 339], "must": [3, 4, 9, 10, 11, 35, 39, 47, 56, 57, 59, 62, 65, 90, 93, 94, 100, 104, 114, 118, 122, 136, 202, 207, 208, 211, 212, 213, 215, 218, 225, 230, 239, 241, 243, 250, 252, 253, 255, 263, 275, 278, 279, 280, 284, 285, 298, 304, 314, 318, 326, 332, 337, 338, 339, 340, 342], "user": [3, 4, 7, 30, 31, 54, 159, 212, 282, 286, 297, 307, 313, 328, 332, 336, 342], "ffmpeg_root": [3, 4], "specifi": [3, 4, 9, 10, 11, 37, 75, 76, 85, 87, 95, 98, 159, 243, 269, 270, 273, 284, 285, 288, 307, 319, 329, 330, 331, 337, 338, 339, 340], "forg": [3, 4, 288, 323], "conda_prefix": [3, 4], "microsoft": 4, "visual": [4, 287, 313, 318, 323, 325, 328, 335, 338], "manag": [4, 285, 288], "visualstudio": 4, "section": [4, 26, 301, 304, 313, 314, 320, 327, 330, 338, 340, 342], "commun": 4, "edit": [4, 54, 332], "cl": [4, 304], "sake": [4, 66, 71, 327, 332, 335, 340], "similar": [4, 5, 36, 40, 41, 42, 43, 46, 49, 50, 55, 58, 63, 68, 77, 79, 84, 92, 93, 244, 245, 280, 285, 292, 293, 315, 319, 320, 330, 331, 338, 340, 342], "experi": [4, 330], "three": [4, 211, 212, 261, 285, 297, 314, 323, 329, 332, 336, 338, 340, 342], "step": [4, 44, 59, 80, 108, 111, 118, 119, 267, 278, 297, 313, 314, 320, 321, 322, 323, 326, 327, 328, 329, 332, 335, 338, 340, 342], "prompt": [4, 342], "combin": [4, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 282, 286, 312, 315, 321, 324, 327, 328, 329, 338], "known": [4, 311, 321, 323, 326], "anaconda3": 4, "recogn": 4, "activ": [4, 93, 102, 104, 115, 122, 215, 216, 218, 225, 280, 321], "x64": 4, "toolset": 4, "vcvarsal": 4, "bat": 4, "vcvars64": 4, "under": [4, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 297, 298, 314, 317, 332, 335, 342], "studio": 4, "vc": 4, "auxiliari": [4, 113], "more": [4, 39, 73, 74, 83, 108, 130, 159, 223, 243, 247, 249, 251, 264, 265, 268, 271, 282, 284, 285, 286, 298, 312, 313, 314, 318, 319, 320, 321, 325, 327, 328, 331, 332, 335, 338, 340, 342], "cpp": [4, 292, 293, 340], "64": [4, 171, 219, 221, 222, 236, 237, 243, 282, 286, 313, 314, 318, 320, 321, 325, 327, 331, 332, 335, 336, 341, 342], "bit": [4, 39, 53, 94, 95, 100, 169, 170, 243, 244, 284, 285, 313, 314, 319, 322, 323, 328, 331, 337, 338, 340], "line": [4, 58, 118, 119, 243, 313, 314, 326, 335, 337], "view": 4, "160": [4, 258, 260, 321, 327], "vcvarsallbat": 4, "host": [4, 282, 286], "call": [4, 85, 105, 122, 269, 284, 285, 307, 320, 321, 332, 335, 337, 339, 342], "ux": 4, "nativ": [4, 100, 244], "style": 4, "dataset": [4, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 149, 150, 153, 154, 155, 156, 157, 159, 162, 163, 164, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 230, 231, 232, 234, 244, 287, 298, 304, 313, 314, 315, 317, 328, 329, 332, 334, 335], "miniconda3": 4, "ex": [4, 314], "cpuonli": 4, "With": 4, "when": [4, 13, 23, 37, 39, 64, 65, 69, 70, 72, 75, 76, 87, 90, 93, 94, 95, 100, 106, 113, 114, 116, 118, 142, 208, 210, 211, 212, 225, 239, 241, 243, 244, 254, 257, 261, 263, 267, 270, 273, 275, 278, 280, 283, 284, 285, 288, 292, 293, 297, 307, 313, 314, 317, 318, 319, 320, 321, 322, 325, 327, 328, 329, 330, 331, 335, 337, 338, 339, 340, 342], "intend": 4, "same": [4, 16, 18, 19, 25, 26, 27, 30, 31, 35, 47, 54, 56, 57, 65, 69, 70, 78, 83, 93, 95, 116, 118, 119, 148, 153, 154, 155, 156, 157, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 208, 211, 220, 223, 232, 245, 247, 250, 252, 261, 277, 280, 292, 293, 297, 312, 313, 314, 318, 319, 320, 321, 322, 326, 327, 330, 335, 336, 337, 338, 340, 342], "everyth": [4, 337], "readi": [4, 284], "illustr": [4, 198, 208, 297, 318, 319, 321, 323, 324, 326, 327, 332, 337, 340, 342], "come": [4, 314, 328, 332], "major": [4, 7, 320, 330, 331], "codec": [4, 39, 94, 95, 282, 284, 285, 286, 287, 292, 307, 319, 322, 323, 330, 332, 336, 337, 338], "decod": [4, 9, 54, 73, 83, 88, 100, 102, 105, 108, 111, 113, 116, 117, 118, 119, 120, 159, 161, 198, 264, 272, 282, 284, 285, 286, 287, 289, 292, 297, 307, 309, 319, 322, 323, 324, 331, 332, 334, 335, 336, 337, 338], "regular": [4, 333, 338, 340], "find": [4, 167, 168, 169, 170, 287, 292, 293, 320, 331], "yourself": 4, "might": [4, 244, 298, 306, 312, 314, 318, 320, 331, 335, 337], "usabl": 4, "mingw64": 4, "pkg": [4, 282, 286], "purpos": [4, 198, 323, 327], "document": [4, 7, 100, 148, 234, 243, 284, 285, 288, 292, 306, 307, 313, 314, 316, 318, 319, 322, 325, 335, 339], "touch": 4, "trac": [4, 95, 285, 324], "wiki": [4, 36, 40, 41, 42, 43, 44, 55, 63, 68, 92, 95, 285, 304, 312, 324, 325, 341], "compilationguid": 4, "mingw": 4, "www": [4, 30, 31, 32, 36, 40, 41, 42, 43, 50, 67, 84, 92, 239, 259, 304, 325, 333, 338], "chocolateri": 4, "shortcut": 4, "plai": [4, 98, 287, 336], "well": [4, 159, 294, 307, 312, 314, 322, 330, 335, 336, 338, 340], "env": [4, 333], "initi": [4, 44, 62, 93, 104, 105, 116, 122, 208, 211, 215, 225, 255, 267, 280, 284, 313, 322, 323, 332], "bashrc": 4, "instead": [4, 16, 18, 19, 25, 26, 27, 30, 31, 90, 116, 203, 258, 260, 271, 275, 284, 285, 313, 340], "pacman": 4, "w64": 4, "should": [4, 7, 9, 10, 11, 49, 54, 65, 69, 70, 95, 111, 159, 165, 166, 171, 198, 199, 200, 204, 216, 233, 284, 314, 319, 321, 322, 327, 338], "qe": 4, "2020": [4, 14, 22, 23, 83, 101, 113, 130, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 153, 154, 156, 157, 162, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 216, 226, 227, 228, 229, 232, 304, 336, 339], "devel": 4, "filesystem": 4, "2023": 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70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 160, 161, 167, 169, 170, 171, 172, 173, 192, 193, 194, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 226, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 290, 295, 297, 301, 322, 328, 337, 338], "given": [5, 7, 54, 62, 72, 75, 76, 78, 94, 95, 100, 108, 110, 113, 159, 160, 161, 172, 173, 202, 207, 208, 210, 211, 213, 243, 244, 245, 255, 270, 271, 273, 277, 279, 281, 284, 297, 307, 313, 318, 319, 320, 325, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 340], "produc": [5, 9, 152, 159, 313, 314, 315, 320, 325, 326, 328, 331], "subclass": [6, 338], "__getitem__": [6, 244, 298], "__len__": [6, 244], "method": [6, 47, 62, 64, 75, 76, 83, 87, 90, 94, 212, 232, 239, 241, 250, 255, 256, 257, 261, 263, 267, 271, 273, 274, 275, 279, 291, 298, 304, 319, 320, 322, 324, 325, 326, 329, 335, 337, 338, 339, 340, 342], "implement": [6, 36, 40, 41, 42, 43, 46, 49, 50, 52, 55, 58, 62, 63, 65, 68, 77, 79, 84, 92, 93, 102, 111, 114, 125, 130, 142, 173, 206, 211, 212, 215, 232, 236, 248, 255, 258, 260, 280, 287, 292, 293, 297, 306, 308, 311, 313, 314, 317, 318, 320, 321, 322, 328, 330, 337, 338, 340, 342], "henc": 6, "dataload": [6, 244], "parallelli": 6, "multiprocess": [6, 322, 323], "worker": [6, 320], "yesno_data": 6, "yesno": [6, 304, 316], "data_load": 6, "batch_siz": [6, 59, 105, 112, 216, 244], "shuffl": [6, 330], "num_work": 6, "arg": [6, 247, 270, 273, 313, 320, 322, 323, 328, 332, 335], "nthread": 6, "describ": [7, 162, 163, 327], "classifi": [7, 112, 335], "releas": [7, 28, 204, 230, 231, 288, 298, 312, 319, 328, 332, 333, 340, 342], "statu": 7, "These": [7, 306, 307, 323, 337, 338], "maintain": [7, 313, 314], "long": [7, 244, 282, 284, 286, 292, 313, 314, 324, 332], "term": [7, 130, 142, 318, 332], "limit": [7, 113, 304, 328, 332, 338, 342], "gap": [7, 93, 280], "backward": [7, 57, 269, 291, 292, 293, 307], "compat": [7, 9, 10, 64, 66, 71, 125, 143, 144, 145, 146, 147, 148, 261, 291, 292, 293, 306, 307, 323, 330, 339, 340], "although": [7, 232], "break": [7, 164, 307, 332, 338, 339], "happen": [7, 208, 320, 327], "notic": [7, 210, 298, 313, 314, 321, 325, 331, 342], "ahead": [7, 101, 220, 223], "beta": [7, 83, 271, 298, 320], "becaus": [7, 216, 244, 271, 285, 297, 314, 315, 318, 319, 320, 321, 322, 328, 335, 342], "feedback": [7, 58, 298], "coverag": [7, 318, 331, 338], "across": [7, 72, 159, 208, 318, 322, 323, 335, 338, 339], "yet": [7, 332], "complet": [7, 9, 10, 11, 47, 56, 159, 250, 252, 318, 319, 332, 339], "prototyp": [7, 133, 134, 135, 136, 203, 214, 215, 216, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 291, 292, 293, 312, 325, 333, 341], "typic": [7, 44, 51, 81, 165, 166, 233, 251, 268, 285, 335, 340], "pypi": [7, 288], "except": [7, 24, 95, 115, 284, 312, 333, 336, 339, 341], "sometim": [7, 328], "behind": [7, 342], "earli": [7, 298], "stage": [7, 298], "waveform": [9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 39, 40, 41, 42, 43, 44, 46, 49, 50, 51, 52, 53, 55, 57, 58, 61, 62, 63, 64, 65, 66, 67, 68, 71, 77, 79, 80, 81, 83, 84, 89, 90, 91, 92, 93, 95, 98, 102, 105, 106, 109, 110, 112, 113, 114, 137, 138, 159, 165, 166, 169, 170, 171, 173, 198, 199, 200, 203, 205, 208, 210, 212, 232, 233, 235, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 251, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 267, 268, 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292, 312, 313, 315, 318, 319, 321, 322, 323, 324, 326, 327, 328, 332, 333, 340, 341], "dither": [9, 10, 11], "energy_floor": [9, 10, 11], "frame_length": [9, 10, 11, 64, 90, 257, 275], "25": [9, 10, 11, 58, 93, 159, 200, 280, 284, 304, 313, 314, 321, 324, 326, 327, 329, 332, 333, 342], "frame_shift": [9, 10, 11], "high_freq": [9, 10], "htk_compat": [9, 10], "bool": [9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 39, 40, 41, 53, 57, 62, 64, 65, 75, 76, 79, 82, 85, 87, 88, 90, 95, 100, 101, 104, 105, 111, 116, 118, 122, 130, 142, 148, 200, 206, 213, 215, 218, 220, 223, 225, 239, 240, 241, 243, 244, 245, 254, 255, 257, 258, 260, 261, 263, 266, 269, 270, 272, 273, 275, 278, 283, 284, 313, 323], "fals": [9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 40, 41, 53, 65, 79, 85, 88, 100, 101, 104, 111, 118, 130, 142, 213, 215, 239, 241, 244, 254, 257, 258, 260, 261, 263, 266, 269, 272, 275, 278, 285, 312, 313, 314, 315, 321, 322, 323, 324, 325, 326, 327, 328, 329, 331, 332, 333, 336, 337, 339, 340, 341, 342], "low_freq": [9, 10], "20": [9, 10, 37, 77, 93, 104, 171, 200, 215, 224, 277, 280, 304, 313, 314, 321, 326, 327, 328, 329, 331, 334, 336, 340, 342], "min_dur": [9, 10, 11], "num_mel_bin": [9, 10, 314], "preemphasis_coeffici": [9, 10, 11], "raw_energi": [9, 10, 11], "remove_dc_offset": [9, 10, 11], "round_to_power_of_two": [9, 10, 11], "sample_frequ": [9, 10, 11], "16000": [9, 10, 11, 23, 212, 238, 239, 242, 245, 256, 258, 260, 262, 263, 271, 277, 306, 311, 314, 315, 317, 319, 322, 329, 332, 335, 336, 338], "snip_edg": [9, 10, 11, 314], "subtract_mean": [9, 10, 11], "use_energi": [9, 10], "use_log_fbank": 9, "use_pow": 9, "vtln_high": [9, 10], "500": [9, 10, 19, 20, 153, 154, 155, 167, 168, 169, 170, 179, 180, 181, 182, 183, 184, 187, 188, 189, 212, 313, 314, 320, 323], "vtln_low": [9, 10], "vtln_warp": [9, 10], "window_typ": [9, 10, 11], "str": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 39, 45, 47, 48, 53, 56, 58, 59, 64, 71, 83, 85, 90, 94, 95, 98, 99, 100, 102, 104, 105, 112, 116, 117, 118, 119, 120, 122, 123, 124, 125, 130, 134, 136, 142, 148, 161, 172, 198, 200, 202, 203, 205, 210, 215, 218, 223, 225, 238, 239, 241, 242, 243, 244, 245, 246, 248, 249, 250, 252, 253, 256, 257, 258, 260, 261, 262, 263, 269, 271, 275, 281, 282, 283, 284, 285, 286, 290, 313, 314, 320, 322, 323, 326, 327, 328, 330, 331, 335], "povei": [9, 10, 11, 304], "raw": [9, 10, 11, 90, 113, 116, 159, 237, 239, 263, 279, 282, 285, 286, 315, 319, 323, 326, 330, 331, 337, 338], "signal": [9, 10, 11, 35, 46, 51, 57, 62, 64, 65, 73, 74, 77, 81, 83, 89, 90, 91, 93, 94, 212, 238, 239, 240, 241, 242, 247, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 271, 274, 275, 276, 277, 280, 287, 304, 315, 318, 320, 328, 329, 333, 336, 338], "match": [9, 10, 11, 35, 47, 56, 88, 95, 110, 208, 250, 252, 285, 288, 292, 304, 319, 326, 330, 336, 338, 339, 340, 342], "feat": [9, 10, 11, 314, 323, 332, 335], "rang": [9, 10, 11, 46, 49, 53, 57, 58, 65, 77, 79, 100, 107, 159, 278, 283, 312, 313, 314, 315, 318, 319, 320, 321, 322, 324, 325, 327, 330, 333, 337, 338, 339, 340, 341, 342], "option": [9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 35, 36, 37, 39, 40, 41, 42, 43, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 68, 69, 70, 71, 75, 76, 77, 79, 80, 81, 82, 83, 85, 87, 88, 90, 91, 92, 93, 94, 95, 98, 100, 101, 102, 104, 105, 106, 107, 108, 111, 112, 113, 114, 115, 116, 118, 119, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 171, 173, 198, 200, 203, 204, 205, 206, 210, 211, 212, 213, 214, 215, 219, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 292, 319, 323, 328, 330, 331, 332, 337, 338, 339, 340], "constant": [9, 10, 11, 41, 93, 95, 104, 122, 210, 215, 225, 280, 312, 328, 332, 333], "coeffici": [9, 10, 11, 44, 45, 48, 51, 57, 65, 66, 71, 75, 76, 81, 87, 211, 212, 249, 251, 258, 260, 261, 268, 270, 273], "blackman": [9, 10, 11], "mono": [9, 10, 11], "left": [9, 10, 11, 60, 88, 104, 122, 215, 225, 272, 314, 330, 332], "right": [9, 10, 11, 48, 60, 104, 107, 122, 159, 215, 225, 314, 322, 325, 330, 332, 337, 340], "turn": [9, 10, 11, 33, 37, 159, 238, 248, 262, 314, 315], "g": [9, 10, 11, 36, 40, 41, 42, 43, 49, 55, 57, 58, 62, 63, 65, 68, 79, 84, 90, 92, 93, 109, 110, 159, 198, 200, 233, 239, 241, 255, 263, 275, 280, 284, 287, 298, 304, 313, 314, 321, 326, 327, 330, 335, 337, 338, 340], "floor": [9, 10, 11, 69, 70, 211, 212], "energi": [9, 10, 11, 53, 90, 211, 212, 239, 241, 318, 340], "absolut": [9, 10, 11], "rel": [9, 10, 11, 75, 79, 86, 87, 148, 204, 270, 313, 315, 325, 329, 332], "spectrogram": [9, 10, 37, 45, 62, 64, 69, 70, 78, 88, 105, 111, 114, 159, 171, 173, 232, 233, 236, 238, 239, 240, 241, 242, 249, 254, 255, 256, 257, 258, 260, 261, 262, 263, 272, 278, 279, 297, 302, 304, 306, 311, 312, 315, 316, 317, 319, 320, 321, 329, 333, 337, 340, 341], "caution": [9, 10, 11], "appli": [9, 10, 11, 38, 39, 46, 47, 49, 50, 53, 56, 57, 58, 61, 62, 64, 66, 69, 70, 71, 75, 76, 77, 79, 80, 84, 85, 87, 88, 89, 90, 101, 104, 106, 107, 108, 113, 122, 130, 142, 164, 200, 205, 208, 213, 214, 215, 219, 220, 221, 222, 223, 225, 239, 241, 243, 244, 245, 250, 252, 254, 255, 257, 258, 261, 263, 267, 269, 270, 272, 273, 274, 275, 277, 278, 279, 284, 285, 287, 304, 311, 312, 318, 324, 325, 328, 330, 337, 338, 341, 342], "zeroth": [9, 10, 11], "compon": [9, 10, 11, 159, 164, 214, 232, 233, 287, 297, 312, 313, 314, 322, 323, 328, 332, 335, 337, 341, 342], "repres": [9, 10, 11, 75, 76, 87, 101, 104, 107, 108, 116, 117, 159, 165, 166, 171, 172, 198, 199, 200, 207, 211, 212, 214, 215, 233, 270, 273, 284, 313, 315, 318, 320, 321, 327, 329, 330, 333, 335, 336, 340, 342], "individu": [9, 10, 11, 323], "element": [9, 10, 11, 35, 91, 101, 104, 107, 122, 130, 167, 168, 169, 170, 215, 225, 247, 276, 277, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 340, 341, 342], "fix": [9, 10, 11, 212], "std": [9, 10, 11, 29, 292, 328], "numeric_limit": [9, 10, 11], "epsilon": [9, 10, 11, 122, 218, 329, 336], "length": [9, 10, 11, 23, 35, 45, 52, 54, 59, 62, 64, 80, 85, 89, 90, 91, 94, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 122, 130, 159, 160, 171, 172, 173, 208, 212, 214, 215, 216, 218, 221, 222, 223, 225, 233, 239, 241, 247, 249, 253, 254, 255, 257, 263, 267, 269, 274, 275, 276, 277, 278, 279, 321, 322, 323, 326, 327, 328, 329, 332, 342], "millisecond": [9, 10, 11, 58, 79], "shift": [9, 10, 11, 49, 58, 80, 244, 245, 267], "cutoff": [9, 10, 37, 63, 68, 213, 320, 325], "frequenc": [9, 10, 11, 36, 38, 40, 41, 42, 43, 52, 55, 63, 66, 68, 71, 82, 83, 89, 91, 92, 102, 105, 173, 205, 206, 207, 209, 210, 211, 212, 213, 238, 239, 240, 242, 254, 256, 258, 260, 261, 262, 263, 266, 270, 271, 273, 274, 276, 277, 304, 315, 318, 320, 321, 324, 328, 329, 336, 337, 340], "mel": [9, 10, 48, 71, 111, 159, 171, 205, 232, 233, 239, 256, 260, 262, 263, 302, 304, 311], "offset": [9, 10, 49, 284, 320, 341], "nyquist": [9, 10, 83, 271, 312, 320, 325, 333, 341], "put": [9, 10, 288, 322, 323, 339], "last": [9, 10, 47, 51, 56, 65, 69, 70, 81, 95, 200, 250, 251, 252, 268, 314, 321, 327, 331, 337, 342], "warn": [9, 10, 282, 283, 286, 312, 340, 342], "suffici": [9, 10, 328], "htk": [9, 10, 71, 94, 256, 262, 263, 318, 319], "low": [9, 10, 104, 124, 213, 304, 322, 338, 341], "segment": [9, 10, 11, 47, 56, 104, 107, 122, 159, 215, 225, 250, 252, 319, 321, 322, 326, 332], "second": [9, 10, 11, 47, 54, 56, 65, 93, 159, 166, 211, 244, 245, 250, 252, 280, 284, 292, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "number": [9, 10, 11, 23, 26, 37, 48, 52, 59, 62, 66, 69, 70, 71, 73, 74, 78, 80, 90, 94, 95, 100, 101, 102, 103, 104, 105, 107, 108, 111, 112, 113, 114, 115, 118, 119, 122, 130, 134, 142, 148, 159, 204, 205, 206, 207, 208, 211, 212, 215, 216, 218, 220, 221, 222, 223, 225, 238, 239, 240, 241, 242, 243, 248, 255, 256, 258, 260, 262, 263, 264, 265, 267, 275, 279, 284, 285, 288, 292, 297, 312, 313, 314, 315, 318, 319, 320, 322, 326, 329, 330, 331, 333, 336, 338, 340, 341], "triangular": [9, 10, 53, 58, 66, 71, 79, 205, 238, 256, 262, 263], "preemphasi": [9, 10, 11, 51], "befor": [9, 10, 11, 33, 37, 93, 100, 111, 130, 142, 159, 204, 248, 280, 284, 285, 294, 306, 314, 322, 323, 327, 330, 336, 339, 340], "subtract": [9, 10, 11, 208, 209, 213, 287, 312, 325, 333, 334], "each": [9, 10, 11, 30, 31, 35, 37, 51, 59, 62, 64, 66, 71, 78, 80, 81, 85, 89, 90, 101, 104, 105, 106, 107, 108, 109, 111, 113, 114, 116, 117, 118, 119, 122, 130, 142, 165, 166, 171, 172, 173, 198, 199, 200, 205, 208, 211, 214, 215, 216, 218, 220, 221, 222, 223, 225, 233, 239, 241, 254, 255, 257, 263, 267, 269, 274, 275, 278, 284, 285, 288, 292, 301, 306, 307, 313, 314, 318, 321, 322, 323, 326, 327, 328, 330, 332, 335, 337, 338, 340, 342], "round": [9, 10, 11, 320], "power": [9, 10, 11, 33, 37, 62, 75, 76, 82, 86, 87, 90, 93, 239, 241, 248, 255, 261, 263, 266, 270, 273, 275, 279, 280, 281, 284, 311, 314, 315, 317, 318, 328, 329, 332, 338, 340, 341], "two": [9, 10, 11, 31, 36, 40, 41, 42, 44, 47, 54, 56, 60, 64, 69, 70, 89, 90, 98, 116, 130, 142, 239, 241, 250, 252, 257, 261, 263, 274, 275, 284, 285, 314, 319, 320, 323, 327, 329, 335, 340], "zero": [9, 10, 11, 23, 62, 85, 111, 204, 208, 255, 269, 304, 312, 320, 321, 322, 323, 325, 327, 328, 330, 332, 333, 341], "pad": [9, 10, 11, 23, 45, 57, 64, 65, 85, 89, 90, 95, 104, 107, 111, 159, 215, 239, 241, 244, 249, 257, 263, 269, 274, 275, 322, 323, 332], "fft": [9, 10, 11, 56, 62, 64, 80, 89, 90, 105, 159, 239, 241, 252, 255, 257, 263, 267, 274, 275, 297, 325, 340], "end": [9, 10, 11, 34, 88, 93, 95, 103, 112, 116, 130, 142, 159, 208, 233, 244, 272, 280, 284, 304, 312, 315, 319, 321, 322, 323, 326, 327, 328, 329, 332, 338, 340], "effect": [9, 10, 11, 43, 46, 58, 64, 65, 75, 76, 77, 79, 87, 88, 92, 93, 95, 100, 243, 244, 245, 246, 261, 270, 272, 273, 280, 283, 284, 285, 287, 304, 317, 320, 321, 328, 332, 337], "handl": [9, 10, 11, 15, 29, 100, 243, 284, 285, 307, 319, 320, 338], "fit": [9, 10, 11, 319], "depend": [9, 10, 11, 37, 48, 64, 85, 93, 100, 173, 243, 248, 257, 258, 260, 269, 280, 282, 284, 285, 286, 290, 292, 306, 308, 321, 322, 324, 326, 328, 329, 330, 332, 335, 337, 338, 339, 340, 342], "reflect": [9, 10, 11, 64, 90, 211, 212, 239, 241, 257, 263, 275, 317, 318, 320], "cm": [9, 10, 11, 325], "dimens": [9, 10, 35, 36, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 53, 55, 56, 57, 58, 61, 62, 63, 64, 65, 67, 68, 69, 70, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 92, 93, 100, 101, 102, 103, 104, 106, 107, 108, 109, 110, 111, 112, 113, 114, 122, 130, 134, 136, 142, 200, 208, 211, 212, 215, 216, 218, 219, 220, 221, 222, 223, 224, 225, 238, 239, 240, 241, 242, 244, 245, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 279, 280, 281, 297, 321, 326, 335, 340], "log": [9, 59, 113, 119, 200, 201, 258, 260, 282, 286, 313, 315, 320, 325, 327, 331, 333], "filterbank": [9, 48, 66, 71, 205, 238, 239, 242, 256, 262, 263], "els": [9, 39, 100, 312, 313, 320, 321, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 335, 336, 341, 342], "linear": [9, 10, 58, 62, 66, 77, 94, 142, 179, 180, 181, 182, 183, 184, 185, 186, 187, 225, 242, 243, 253, 255, 256, 258, 304, 319, 328, 333, 340], "magnitud": [9, 62, 64, 66, 71, 89, 90, 102, 209, 239, 241, 248, 255, 257, 263, 274, 275, 304, 325, 328, 329, 340, 341], "inflect": [9, 10], "piecewis": [9, 10], "vtln": [9, 10], "warp": [9, 10], "neg": [9, 10, 37, 104, 113, 214, 215, 221, 222, 223, 248, 292, 320], "freq": [9, 10, 37, 38, 45, 52, 62, 64, 69, 70, 75, 76, 78, 82, 86, 87, 88, 90, 238, 242, 249, 255, 256, 257, 261, 262, 266, 270, 272, 273, 275, 279, 312, 318, 320, 329, 333], "factor": [9, 10, 78, 91, 105, 106, 122, 130, 216, 218, 243, 276, 277, 285, 313, 341], "applic": [9, 10, 54, 88, 116, 254, 271, 272, 278, 284, 287, 304, 307, 315, 319, 320, 321, 336, 338, 341], "vtln_map": [9, 10], "ham": [9, 10, 11, 213, 325], "han": [9, 10, 11, 304], "rectangular": [9, 10, 11, 53], "return": [9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 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206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 236, 237, 244, 245, 247, 250, 251, 252, 253, 267, 268, 270, 271, 273, 276, 277, 280, 284, 285, 292, 313, 314, 315, 318, 319, 321, 328, 329, 330, 333, 335, 336, 338, 339, 340, 342], "calcul": [9, 10, 11, 54, 258, 260, 328], "_get_strid": [9, 10, 11], "asr": [9, 54, 83, 100, 104, 107, 108, 113, 116, 117, 118, 119, 120, 150, 153, 154, 159, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 198, 200, 230, 231, 287, 289, 296, 298, 304, 309, 327, 334, 335, 337], "infer": [9, 54, 83, 94, 100, 113, 116, 117, 118, 119, 120, 122, 150, 159, 171, 198, 230, 231, 233, 234, 235, 243, 244, 267, 287, 296, 297, 298, 319, 326, 334, 342], "ctc": [9, 34, 54, 59, 72, 83, 85, 100, 113, 116, 117, 118, 119, 120, 198, 200, 269, 287, 297, 304, 326, 327, 334, 335, 336], "cepstral_lift": 10, "22": [10, 200, 207, 282, 285, 286, 304, 313, 320, 321, 326, 327, 332, 336, 342], "num_cep": 10, "control": [10, 43, 46, 64, 77, 83, 90, 92, 105, 130, 142, 208, 239, 241, 257, 263, 271, 275, 284, 304, 322, 328, 331, 332, 340, 341, 342], "cepstra": 10, "c0": 10, "fbank": [10, 314, 318], "padded_window_s": 11, "class": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 85, 94, 95, 98, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 130, 143, 144, 145, 146, 147, 159, 160, 161, 164, 165, 166, 171, 172, 173, 198, 199, 200, 201, 202, 203, 214, 215, 216, 233, 235, 236, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 284, 285, 287, 292, 293, 297, 306, 311, 313, 315, 319, 321, 322, 323, 327, 332, 335, 338], "root": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 203, 313, 321, 335, 342], "union": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 64, 75, 76, 87, 90, 94, 100, 118, 119, 172, 203, 207, 211, 212, 220, 243, 257, 270, 273, 275, 284, 285, 336], "url": [12, 13, 15, 17, 19, 20, 21, 26, 29, 30, 31, 32, 94, 159, 284, 304, 314, 319, 326, 328, 336, 338], "aew": 12, "folder_in_arch": [12, 17, 19, 20, 21, 26, 32], "arctic": [12, 304], "cmu": [12, 13, 304], "kominek": [12, 304], "et": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "al": [12, 14, 16, 17, 18, 19, 20, 22, 23, 24, 25, 27, 28, 29, 30, 31, 62, 65, 76, 101, 103, 104, 106, 111, 112, 113, 114, 116, 126, 127, 128, 129, 130, 131, 132, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 162, 163, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 203, 211, 212, 215, 216, 219, 221, 222, 226, 227, 228, 229, 230, 231, 232, 234, 235, 236, 254, 255, 261, 273, 277, 278, 279, 311, 314, 321, 336], "2003": [12, 239, 304], "allow": [12, 19, 20, 26, 28, 46, 49, 50, 54, 58, 77, 79, 84, 93, 94, 100, 130, 171, 223, 280, 284, 285, 307, 313, 314, 315, 319, 320, 322, 328, 330, 331, 332, 342], "ahw": 12, "aup": 12, "awb": 12, "axb": 12, "bdl": 12, "clb": 12, "eei": 12, "fem": 12, "gka": 12, "jmk": 12, "ksp": 12, "ljm": 12, "lnh": 12, "rm": 12, "rxr": 12, "slp": 12, "slt": [12, 304], "top": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 108, 116, 142, 159, 203, 225, 292, 293, 307, 308, 313, 314, 330, 333, 336, 340], "level": [12, 15, 17, 18, 19, 20, 21, 24, 25, 26, 27, 29, 32, 54, 93, 203, 204, 211, 280, 282, 283, 285, 286, 292, 293, 307, 308, 322, 326, 333, 338], "whether": [12, 13, 15, 17, 19, 20, 21, 22, 24, 25, 26, 28, 29, 30, 31, 32, 64, 90, 116, 118, 130, 142, 216, 220, 223, 239, 241, 254, 257, 258, 260, 263, 275, 278, 313], "tupl": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 59, 91, 100, 101, 104, 106, 107, 108, 111, 113, 114, 116, 130, 142, 148, 160, 172, 173, 198, 200, 203, 214, 215, 216, 226, 244, 245, 276, 277, 282, 284, 286, 290, 319], "th": [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 38, 64, 90, 101, 104, 107, 203, 207, 215, 239, 241, 257, 263, 270, 273, 275, 304, 314], "rate": [12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 78, 79, 80, 84, 89, 92, 93, 94, 95, 98, 100, 105, 123, 124, 125, 159, 164, 165, 166, 173, 198, 199, 200, 203, 205, 206, 210, 212, 216, 233, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 256, 258, 259, 260, 262, 263, 267, 274, 279, 280, 284, 285, 292, 297, 312, 315, 316, 317, 318, 319, 320, 321, 322, 324, 326, 327, 328, 329, 331, 332, 333, 335, 336, 337, 338, 339, 341, 342], "transcript": [12, 16, 19, 21, 22, 27, 28, 29, 107, 108, 122, 159, 181, 184, 198, 201, 202, 218, 313, 314, 322, 323, 327, 332], "utter": [12, 15, 18, 19, 20, 22, 26, 29, 31, 88, 104, 215, 272, 315], "exclude_punctu": 13, "svn": 13, "sf": 13, "net": [13, 36, 40, 41, 42, 43, 46, 49, 50, 58, 77, 79, 84, 92, 93, 243, 280, 283, 304, 336], "p": [13, 69, 70, 102, 171, 198, 200, 278, 284, 287, 304, 313, 314, 321, 322, 323, 326, 327, 335, 336, 342], "cmusphinx": 13, "trunk": 13, "7b": 13, "url_symbol": 13, "pronounc": 13, "dictionari": [13, 14, 118, 171, 198, 199, 200, 233, 290, 297, 304, 321, 327, 335, 337], "weid": [13, 304], "1998": [13, 304], "exclud": [13, 298], "pronounci": 13, "punctuat": [13, 326], "exclam": 13, "hash": 13, "mark": [13, 304, 306], "phonem": [13, 28, 168, 170, 171, 288, 297, 321], "aa": [13, 282, 286], "ae": 13, "ah": [13, 171, 342], "word": [13, 28, 54, 116, 117, 118, 158, 202, 313, 314, 318, 326, 335], "tsv": 14, "train": [14, 15, 16, 17, 19, 20, 23, 24, 26, 27, 28, 30, 102, 104, 105, 106, 107, 111, 112, 114, 130, 142, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 214, 215, 221, 222, 223, 230, 231, 232, 233, 234, 235, 287, 295, 297, 301, 304, 313, 314, 315, 319, 321, 326, 327, 328, 332, 335, 336, 342], "ardila": [14, 191, 192, 193, 194, 304], "present": [14, 284, 285, 292, 314, 320, 321, 323, 340], "construct": [14, 118, 149, 150, 151, 152, 159, 162, 163, 164, 165, 166, 198, 199, 200, 230, 231, 232, 233, 235, 295, 301, 321, 325, 330, 335, 337, 342], "invalid": [14, 284], "valid": [14, 16, 17, 24, 26, 27, 28, 35, 47, 56, 91, 101, 104, 106, 107, 108, 111, 113, 114, 116, 117, 118, 119, 120, 130, 134, 142, 171, 172, 173, 208, 210, 214, 215, 243, 246, 247, 250, 252, 256, 276, 277, 283, 284, 285, 338, 342], "dict": [14, 28, 116, 200, 239, 241, 242, 255, 257, 258, 260, 263, 267, 274, 275, 282, 283, 284, 285, 286, 328], "client_id": 14, "sentenc": [14, 54, 111, 116], "up_vot": 14, "down_vot": 14, "ag": [14, 314], "gender": 14, "accent": 14, "subset": [15, 16, 17, 22, 23, 24, 25, 26, 27, 28, 30, 164, 174, 175, 176, 177, 178, 179, 180, 182, 183, 185, 186, 203, 304, 306], "datashar": [15, 29], "ed": [15, 29, 314], "ac": [15, 29, 30, 31, 282, 286, 338], "uk": [15, 29, 30, 31, 333], "10283": [15, 29], "3038": 15, "dr": 15, "vctk": [15, 29, 304], "zip": [15, 29, 30, 31, 245, 313, 318, 320, 321, 324, 325, 326, 327, 328, 330, 331, 342], "record": [15, 49, 93, 211, 280, 304, 315, 332, 337], "small": [15, 65, 219, 221, 271, 304, 314, 320, 322, 325, 327], "sarfjoo": [15, 304], "yamagishi": [15, 29, 163, 304], "2018": [15, 26, 27, 111, 114, 211, 212, 304, 338], "noisi": [15, 38, 261, 315], "speaker": [15, 16, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 285, 304, 339, 340], "fluent": 16, "speech": [16, 21, 26, 29, 35, 75, 76, 83, 86, 87, 93, 100, 101, 102, 103, 104, 109, 110, 111, 112, 113, 114, 158, 159, 165, 166, 167, 168, 169, 170, 171, 191, 198, 203, 215, 219, 221, 222, 232, 255, 257, 261, 263, 266, 270, 271, 273, 275, 277, 280, 287, 288, 304, 313, 314, 317, 321, 322, 323, 327, 332, 334], "lugosch": [16, 304], "action": 16, "filepath": [16, 18, 19, 25, 26, 27, 30, 31, 203], "otherwis": [16, 18, 19, 25, 26, 27, 30, 31, 39, 57, 62, 65, 69, 70, 85, 91, 94, 95, 100, 130, 142, 203, 206, 208, 210, 213, 240, 241, 243, 244, 255, 269, 276, 277, 284, 285, 292, 328], "field": [16, 18, 19, 25, 26, 27, 30, 31, 203, 313], "opihi": 17, "uvic": 17, "ca": [17, 314], "genr": [17, 304], "none": [17, 18, 24, 25, 26, 27, 35, 37, 39, 48, 49, 59, 62, 64, 71, 75, 78, 80, 82, 83, 85, 90, 91, 93, 94, 95, 98, 100, 104, 106, 107, 108, 111, 113, 114, 116, 118, 120, 122, 126, 127, 128, 129, 130, 131, 132, 134, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 159, 171, 173, 198, 199, 200, 204, 206, 210, 212, 214, 215, 224, 225, 233, 238, 239, 240, 241, 242, 243, 244, 247, 248, 255, 256, 257, 258, 260, 261, 262, 263, 266, 267, 269, 271, 274, 275, 276, 277, 279, 280, 284, 285, 312, 313, 315, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333], "tzanetaki": [17, 304], "2001": [17, 304], "marsya": 17, "info": [17, 73, 74, 264, 265, 282, 286, 287, 319], "plan": [17, 307, 319], "publish": [17, 153, 154, 155, 156, 157, 158, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 232, 332, 342], "octob": 17, "current": [17, 44, 59, 88, 93, 98, 104, 107, 108, 114, 116, 204, 211, 215, 272, 280, 284, 285, 307, 308, 327, 328, 330, 332, 336, 342], "connect": [17, 114, 284], "error": [17, 53, 65, 210, 282, 285, 286, 306, 321, 322, 329, 331, 336, 338], "entir": [17, 113, 288, 308, 324, 328], "label": [17, 18, 26, 27, 30, 31, 32, 59, 85, 106, 113, 116, 117, 130, 198, 200, 269, 297, 306, 313, 316, 318, 320, 321, 325, 335, 341], "session": 18, "utterance_typ": 18, "busso": [18, 304], "2008": [18, 304], "improvis": 18, "both": [18, 39, 64, 85, 90, 150, 152, 211, 230, 231, 239, 241, 257, 263, 269, 275, 292, 293, 313, 320, 322, 323, 329, 330, 331, 332, 338], "neu": 18, "hap": 18, "ang": 18, "sad": [18, 313, 332], "exc": 18, "fru": 18, "panayotov": [19, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 304], "2015": [19, 25, 62, 150, 153, 154, 155, 179, 180, 181, 182, 183, 184, 185, 187, 188, 189, 195, 203, 255, 277, 304], "dowload": [19, 20, 26], "360": [19, 20, 23, 153, 154, 155, 179, 180, 181, 182, 183, 184, 187, 188, 189, 330, 331, 337, 338, 339], "chapter": [19, 20, 22], "zen": [20, 304], "origin": [20, 26, 62, 64, 83, 91, 114, 125, 130, 137, 138, 142, 151, 152, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 208, 232, 234, 254, 255, 257, 271, 276, 277, 278, 279, 285, 313, 317, 318, 320, 321, 323, 327, 328, 329, 330, 332, 338, 340, 342], "text": [20, 29, 35, 38, 45, 51, 59, 60, 64, 75, 76, 81, 90, 111, 114, 159, 161, 167, 168, 169, 170, 171, 172, 212, 232, 233, 239, 241, 255, 257, 261, 263, 270, 273, 275, 287, 288, 304, 312, 313, 314, 321, 323, 326, 334, 340], "normal": [20, 21, 48, 52, 54, 57, 60, 64, 65, 71, 82, 88, 90, 100, 108, 122, 130, 142, 198, 199, 202, 206, 218, 223, 238, 239, 240, 241, 242, 244, 245, 248, 253, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 271, 272, 274, 275, 280, 281, 304, 312, 315, 323, 327, 328, 333, 339, 340, 341], "keithito": [21, 304], "bz2": 21, "wav": [21, 27, 30, 31, 39, 95, 100, 137, 138, 171, 233, 238, 239, 240, 241, 242, 243, 244, 245, 248, 253, 256, 258, 259, 260, 262, 263, 264, 265, 267, 271, 272, 274, 275, 280, 281, 285, 313, 314, 315, 317, 318, 319, 321, 324, 326, 327, 328, 329, 335, 336, 337, 338, 339, 340], "ito": [21, 167, 168, 169, 170, 232, 304], "johnson": [21, 167, 168, 169, 170, 232, 304], "2017": [21, 30, 31, 167, 168, 169, 170, 232, 234, 235, 236, 261, 304], "10min": [22, 180, 183, 186], "libri": [22, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 304], "light": [22, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 290, 304, 314], "kahn": [22, 116, 153, 154, 156, 157, 180, 183, 185, 186, 187, 190, 196, 197, 287, 304], "hubert": [22, 106, 126, 127, 128, 129, 131, 132, 137, 153, 154, 155, 156, 157, 224, 225, 304, 335], "hsu": [22, 106, 126, 127, 128, 129, 131, 132, 153, 154, 155, 156, 157, 304], "2021": [22, 65, 104, 105, 106, 126, 127, 128, 129, 131, 132, 143, 144, 145, 151, 152, 153, 154, 155, 156, 157, 163, 174, 175, 176, 177, 178, 192, 193, 194, 196, 197, 230, 287, 304, 321, 328, 333], "supervis": [22, 110, 136, 219, 221, 222, 287, 304, 335], "tune": [22, 106, 113, 137, 142, 153, 154, 155, 156, 157, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 200, 206, 212, 224, 225, 240, 241, 335], "1h": 22, "10h": 22, "num_speak": 23, "sample_r": [23, 36, 39, 40, 41, 42, 43, 50, 52, 55, 58, 63, 66, 67, 68, 71, 79, 80, 84, 89, 92, 93, 94, 95, 98, 114, 171, 205, 206, 210, 212, 237, 238, 239, 240, 241, 242, 243, 244, 245, 248, 253, 256, 258, 259, 260, 262, 263, 264, 265, 267, 271, 272, 274, 275, 280, 281, 284, 285, 298, 311, 312, 313, 314, 315, 316, 318, 319, 320, 321, 322, 323, 324, 326, 327, 328, 329, 332, 333, 335, 336, 337, 338, 339, 340, 341, 342], "8000": [23, 210, 212, 244, 245, 284, 306, 311, 315, 319, 337, 338, 340], "task": [23, 30, 31, 219, 221, 222, 295, 297, 301, 304, 323, 326, 335, 336], "sep_clean": 23, "mode": [23, 40, 45, 47, 56, 64, 107, 108, 111, 130, 142, 148, 249, 250, 252, 257, 284, 307, 319, 328, 330, 332, 336, 337, 342], "cosentino": [23, 149, 304], "libri2mix": [23, 149, 164], "libri3mix": 23, "store": [23, 53, 116, 117, 292, 313, 327, 328, 330], "Not": 23, "determin": [23, 216, 261, 285, 313, 314, 315, 318, 320, 338], "travers": [23, 327], "s1": 23, "sn": 23, "subdirectori": 23, "ha": [23, 39, 66, 71, 74, 100, 125, 171, 244, 245, 265, 283, 284, 285, 288, 292, 293, 307, 314, 315, 318, 319, 320, 321, 323, 325, 327, 328, 330, 333, 335, 337, 338, 339, 340, 342], "rais": [23, 284, 306, 312, 333, 336, 338, 341], "valueerror": 23, "enh_singl": 23, "enh_both": 23, "sep_noisi": 23, "mixtur": [23, 24, 105, 164, 304, 328], "maximum": [23, 37, 66, 69, 70, 71, 100, 104, 107, 108, 111, 119, 122, 148, 204, 205, 212, 215, 225, 238, 239, 242, 248, 254, 256, 258, 260, 262, 263, 278, 285, 313, 314, 327, 338], "manual": [23, 239, 340, 342], "jorisco": 23, "mix": [23, 105, 328], "split": [24, 37, 102, 105, 171, 208, 248, 258, 260, 313, 314, 321, 326, 337, 340], "rafii": [24, 151, 152, 304], "bass": [24, 43, 105, 328, 333], "drum": [24, 105, 328], "vocal": [24, 105, 328], "consist": [24, 25, 35, 118, 174, 175, 176, 177, 178, 258, 260, 297, 313, 314, 323, 338], "track": 24, "occur": [24, 118, 321, 327, 335], "respect": [24, 26, 30, 105, 211, 212, 261, 284, 328], "num": [24, 106, 113], "languag": [25, 116, 118, 120, 158, 174, 175, 176, 177, 178, 192, 193, 194, 287, 304, 321, 326, 335, 336, 338], "nnenglish": 25, "miro": [25, 304], "eval": [25, 313, 314, 323, 342], "albanian": 25, "basqu": 25, "czech": 25, "romanian": 25, "slovak": 25, "speech_commands_v0": 26, "02": [26, 49, 244, 312, 313, 314, 315, 316, 321, 330, 332, 333, 334, 336, 342], "warden": [26, 304], "whole": [26, 61, 95, 100, 243, 314, 322, 342], "defin": [26, 75, 76, 85, 89, 212, 244, 245, 269, 270, 273, 274, 284, 292, 293, 297, 302, 311, 312, 313, 315, 318, 320, 322, 323, 326, 330, 331, 333, 335, 336, 337, 339, 340, 342], "validation_list": 26, "txt": [26, 30, 31, 118, 119, 313, 326], "testing_list": 26, "rest": [26, 327, 333, 340], "explain": [26, 58, 79, 315, 321, 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\ No newline at end of file
diff --git a/main/sox_effects.html b/main/sox_effects.html
index 8276f9891c..fe94387675 100644
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+++ b/main/sox_effects.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.sox_effects &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.sox_effects &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/supported_features.html b/main/supported_features.html
index df7c87efdb..7877acb4a3 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Supported Features &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Supported Features &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
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diff --git a/main/torchaudio.html b/main/torchaudio.html
index 779088bb4e..9bd4dcb27e 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/torio.html b/main/torio.html
index d331d4fa84..05f70f1b51 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torio &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/torio.io.html b/main/torio.io.html
index 8295e0aec3..c3f4777838 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.io &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torio.io &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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           <div class="pytorch-left-menu-search">
             
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-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/torio.utils.html b/main/torio.utils.html
index 9c05973cbc..db7cc39341 100644
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   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torio.utils &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torio.utils &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
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diff --git a/main/transforms.html b/main/transforms.html
index 32ee2be079..293eca2556 100644
--- a/main/transforms.html
+++ b/main/transforms.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.transforms &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.transforms &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
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           <div class="pytorch-left-menu-search">
             
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-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -438,7 +438,7 @@
 <h1>torchaudio.transforms<a class="headerlink" href="#torchaudio-transforms" title="Permalink to this heading">¶</a></h1>
 <p><code class="docutils literal notranslate"><span class="pre">torchaudio.transforms</span></code> module contains common audio processings and feature extractions. The following diagram shows the relationship between some of the available transforms.</p>
 <img alt="https://download.pytorch.org/torchaudio/tutorial-assets/torchaudio_feature_extractions.png" src="https://download.pytorch.org/torchaudio/tutorial-assets/torchaudio_feature_extractions.png" />
-<p>Transforms are implemented using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></a>. Common ways to build a processing pipeline are to define custom Module class or chain Modules together using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Sequential.html#torch.nn.Sequential" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Sequential</span></code></a>, then move it to a target device and data type.</p>
+<p>Transforms are implemented using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></a>. Common ways to build a processing pipeline are to define custom Module class or chain Modules together using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.Sequential.html#torch.nn.Sequential" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Sequential</span></code></a>, then move it to a target device and data type.</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Define custom feature extraction pipeline.</span>
 <span class="c1">#</span>
 <span class="c1"># 1. Resample audio</span>
diff --git a/main/tutorials/additive_synthesis_tutorial.html b/main/tutorials/additive_synthesis_tutorial.html
index 1826f13ea0..130434d02d 100644
--- a/main/tutorials/additive_synthesis_tutorial.html
+++ b/main/tutorials/additive_synthesis_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Additive Synthesis &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Additive Synthesis &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -484,8 +484,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="overview">
@@ -793,7 +793,7 @@ <h2>References<a class="headerlink" href="#references" title="Permalink to this
 <li><p><a class="reference external" href="https://computermusicresource.com/Simple.bell.tutorial.html">https://computermusicresource.com/Simple.bell.tutorial.html</a></p></li>
 <li><p><a class="reference external" href="https://computermusicresource.com/Definitions/additive.synthesis.html">https://computermusicresource.com/Definitions/additive.synthesis.html</a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  4.907 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  4.997 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-additive-synthesis-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/3b47d1fda1ff1ba89f9df8fcc2d3ba6d/additive_synthesis_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">additive_synthesis_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html b/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
index 19ea2a0691..b88764ee5a 100644
--- a/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
+++ b/main/tutorials/asr_inference_with_ctc_decoder_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ASR Inference with CTC Decoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ASR Inference with CTC Decoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -503,8 +503,8 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">time</span>
@@ -530,17 +530,50 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ll10m.pth&quot; to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ll10m.pth
 
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 </div>
 <p>We will load a sample from the LibriSpeech test-other dataset.</p>
@@ -690,358 +723,99 @@ <h4>Downloading Pretrained Files<a class="headerlink" href="#downloading-pretrai
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- 29%|##8       | 863M/2.91G [00:18&lt;00:33, 66.0MB/s]
- 29%|##9       | 870M/2.91G [00:18&lt;00:47, 46.8MB/s]
- 30%|##9       | 880M/2.91G [00:18&lt;00:45, 48.9MB/s]
- 30%|##9       | 885M/2.91G [00:18&lt;00:49, 44.1MB/s]
- 30%|###       | 896M/2.91G [00:19&lt;00:47, 45.7MB/s]
- 31%|###       | 912M/2.91G [00:19&lt;00:36, 60.1MB/s]
- 31%|###       | 918M/2.91G [00:19&lt;00:38, 56.3MB/s]
- 31%|###1      | 928M/2.91G [00:19&lt;00:42, 50.5MB/s]
- 32%|###1      | 944M/2.91G [00:19&lt;00:30, 70.5MB/s]
- 32%|###1      | 952M/2.91G [00:20&lt;00:44, 47.4MB/s]
- 32%|###2      | 960M/2.91G [00:20&lt;01:05, 32.1MB/s]
- 32%|###2      | 965M/2.91G [00:20&lt;01:07, 31.2MB/s]
- 33%|###2      | 975M/2.91G [00:20&lt;00:51, 40.9MB/s]
- 33%|###2      | 981M/2.91G [00:21&lt;01:03, 33.2MB/s]
- 33%|###3      | 992M/2.91G [00:21&lt;00:49, 42.1MB/s]
- 33%|###3      | 998M/2.91G [00:21&lt;00:46, 44.3MB/s]
- 34%|###3      | 0.98G/2.91G [00:21&lt;00:45, 45.9MB/s]
- 34%|###4      | 0.99G/2.91G [00:21&lt;00:42, 48.2MB/s]
- 34%|###4      | 1.00G/2.91G [00:21&lt;00:38, 53.9MB/s]
- 35%|###4      | 1.00G/2.91G [00:22&lt;00:39, 52.1MB/s]
- 35%|###4      | 1.01G/2.91G [00:22&lt;00:34, 59.3MB/s]
- 35%|###5      | 1.02G/2.91G [00:22&lt;00:35, 56.6MB/s]
- 35%|###5      | 1.03G/2.91G [00:22&lt;00:36, 55.5MB/s]
- 35%|###5      | 1.03G/2.91G [00:22&lt;00:51, 38.9MB/s]
- 36%|###5      | 1.04G/2.91G [00:22&lt;00:55, 36.3MB/s]
- 36%|###5      | 1.05G/2.91G [00:23&lt;00:50, 39.6MB/s]
- 36%|###6      | 1.05G/2.91G [00:23&lt;01:01, 32.7MB/s]
- 37%|###6      | 1.06G/2.91G [00:23&lt;00:51, 38.5MB/s]
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- 37%|###7      | 1.08G/2.91G [00:23&lt;00:41, 47.8MB/s]
- 37%|###7      | 1.08G/2.91G [00:24&lt;00:49, 39.4MB/s]
- 38%|###7      | 1.09G/2.91G [00:24&lt;00:38, 50.3MB/s]
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- 38%|###7      | 1.10G/2.91G [00:24&lt;00:57, 33.9MB/s]
- 38%|###8      | 1.11G/2.91G [00:24&lt;00:53, 36.3MB/s]
- 39%|###8      | 1.12G/2.91G [00:25&lt;00:41, 45.7MB/s]
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- 39%|###9      | 1.14G/2.91G [00:25&lt;00:45, 41.9MB/s]
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- 42%|####2     | 1.23G/2.91G [00:27&lt;00:29, 60.5MB/s]
- 43%|####2     | 1.24G/2.91G [00:27&lt;00:32, 54.5MB/s]
- 43%|####2     | 1.25G/2.91G [00:27&lt;00:30, 58.6MB/s]
- 43%|####3     | 1.26G/2.91G [00:28&lt;00:31, 56.0MB/s]
- 43%|####3     | 1.27G/2.91G [00:28&lt;00:27, 64.6MB/s]
- 44%|####3     | 1.27G/2.91G [00:28&lt;00:30, 57.4MB/s]
- 44%|####4     | 1.28G/2.91G [00:28&lt;00:29, 59.1MB/s]
- 45%|####4     | 1.30G/2.91G [00:28&lt;00:35, 48.7MB/s]
- 45%|####4     | 1.30G/2.91G [00:29&lt;00:39, 43.2MB/s]
- 45%|####5     | 1.31G/2.91G [00:29&lt;00:30, 55.5MB/s]
- 45%|####5     | 1.32G/2.91G [00:29&lt;00:36, 46.2MB/s]
- 45%|####5     | 1.32G/2.91G [00:29&lt;00:46, 36.8MB/s]
- 46%|####5     | 1.33G/2.91G [00:29&lt;00:55, 30.7MB/s]
- 46%|####6     | 1.34G/2.91G [00:30&lt;00:39, 42.4MB/s]
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- 47%|####7     | 1.38G/2.91G [00:31&lt;00:40, 40.6MB/s]
- 48%|####7     | 1.39G/2.91G [00:31&lt;00:27, 58.9MB/s]
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- 50%|#####     | 1.47G/2.91G [00:33&lt;00:34, 44.3MB/s]
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- 51%|#####1    | 1.48G/2.91G [00:33&lt;00:35, 43.5MB/s]
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 PretrainedFiles(lexicon=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lexicon.txt&#39;, tokens=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/tokens.txt&#39;, lm=&#39;/root/.cache/torch/hub/torchaudio/decoder-assets/librispeech-4-gram/lm.bin&#39;)
 </pre></div>
 </div>
@@ -1334,10 +1108,10 @@ <h3>beam size<a class="headerlink" href="#beam-size" title="Permalink to this he
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam size&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_size</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0472 secs)
-beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0499 secs)
-beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1647 secs)
-beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5378 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i you ery much afra of shongut shot i was at some arte what he sad (score: 3144.93; 0.0475 secs)
+beam size 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3688.02; 0.0512 secs)
+beam size 50 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.1758 secs)
+beam size 500: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.5493 secs)
 </pre></div>
 </div>
 </section>
@@ -1363,10 +1137,10 @@ <h3>beam size token<a class="headerlink" href="#beam-size-token" title="Permalin
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam size token&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_size_token</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1591 secs)
-beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1787 secs)
-beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.1990 secs)
-beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2287 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size token 1  : i rely was very much affray of showing him hoch shot i was at some part of what he sed (score: 3584.80; 0.1671 secs)
+beam size token 5  : i rely was very much afraid of showing him how much shocked i was at some part of what he said (score: 3694.83; 0.1861 secs)
+beam size token 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3696.25; 0.2101 secs)
+beam size token 29 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2409 secs)
 </pre></div>
 </div>
 </section>
@@ -1393,10 +1167,10 @@ <h3>beam threshold<a class="headerlink" href="#beam-threshold" title="Permalink
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;beam threshold&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_threshold</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0281 secs)
-beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0577 secs)
-beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2087 secs)
-beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2345 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam threshold 1  : i ila ery much afraid of shongut shot i was at some parts of what he said (score: 3316.20; 0.0290 secs)
+beam threshold 5  : i rely was very much afraid of showing him how much shot i was at some parts of what he said (score: 3682.23; 0.0541 secs)
+beam threshold 10 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2218 secs)
+beam threshold 25 : i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2482 secs)
 </pre></div>
 </div>
 </section>
@@ -1421,9 +1195,9 @@ <h3>language model weight<a class="headerlink" href="#language-model-weight" tit
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">,</span> <span class="s2">&quot;lm weight&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">lm_weight</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2571 secs)
-lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2627 secs)
-lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2421 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>lm weight 0  : i rely was very much affraid of showing him ho much shoke i was at some parte of what he seid (score: 3834.05; 0.2664 secs)
+lm weight 3.23: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: 3699.82; 0.2758 secs)
+lm weight 15 : was there in his was at some of what he said (score: 2918.99; 0.2575 secs)
 </pre></div>
 </div>
 </section>
@@ -1436,7 +1210,7 @@ <h3>additional parameters<a class="headerlink" href="#additional-parameters" tit
 <li><p><code class="docutils literal notranslate"><span class="pre">sil_score</span></code>: silence appearance score to add</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">log_add</span></code>: whether to use log add for lexicon Trie smearing</p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes  5.115 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  14.079 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-asr-inference-with-ctc-decoder-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/da151acc525ba1fb468e2a4904659af1/asr_inference_with_ctc_decoder_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">asr_inference_with_ctc_decoder_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html b/main/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html
index 7c455c5feb..538d8fc208 100644
--- a/main/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html
+++ b/main/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>ASR Inference with CUDA CTC Decoder &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>ASR Inference with CUDA CTC Decoder &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -498,8 +498,8 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">time</span>
@@ -530,12 +530,25 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
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 </pre></div>
 </div>
 <p>We will load a sample from the LibriSpeech test-other dataset.</p>
@@ -546,7 +559,7 @@ <h2>Acoustic Model and Set Up<a class="headerlink" href="#acoustic-model-and-set
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 <div class="output_subarea output_html rendered_html output_result">
@@ -595,7 +608,7 @@ <h3>Tokens<a class="headerlink" href="#tokens" title="Permalink to this heading"
 </pre></div>
 </div>
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 [&#39;&lt;blk&gt;&#39;, &#39;&lt;sos/eos&gt;&#39;, &#39;&lt;unk&gt;&#39;, &#39;S&#39;, &#39;▁THE&#39;, &#39;▁A&#39;, &#39;T&#39;, &#39;▁AND&#39;, &#39;ED&#39;, &#39;▁OF&#39;, &#39;▁TO&#39;, &#39;E&#39;, &#39;D&#39;, &#39;N&#39;, &#39;ING&#39;, &#39;▁IN&#39;, &#39;Y&#39;, &#39;M&#39;, &#39;C&#39;, &#39;▁I&#39;, &#39;A&#39;, &#39;P&#39;, &#39;▁HE&#39;, &#39;R&#39;, &#39;O&#39;, &#39;L&#39;, &#39;RE&#39;, &#39;I&#39;, &#39;U&#39;, &#39;ER&#39;, &#39;▁IT&#39;, &#39;LY&#39;, &#39;▁THAT&#39;, &#39;▁WAS&#39;, &#39;▁&#39;, &#39;▁S&#39;, &#39;AR&#39;, &#39;▁BE&#39;, &#39;F&#39;, &#39;▁C&#39;, &#39;IN&#39;, &#39;B&#39;, &#39;▁FOR&#39;, &#39;OR&#39;, &#39;LE&#39;, &quot;&#39;&quot;, &#39;▁HIS&#39;, &#39;▁YOU&#39;, &#39;AL&#39;, &#39;▁RE&#39;, &#39;V&#39;, &#39;▁B&#39;, &#39;G&#39;, &#39;RI&#39;, &#39;▁E&#39;, &#39;▁WITH&#39;, &#39;▁T&#39;, &#39;▁AS&#39;, &#39;LL&#39;, &#39;▁P&#39;, &#39;▁HER&#39;, &#39;ST&#39;, &#39;▁HAD&#39;, &#39;▁SO&#39;, &#39;▁F&#39;, &#39;W&#39;, &#39;CE&#39;, 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&#39;▁FA&#39;, &#39;▁EX&#39;, &#39;AD&#39;, &#39;▁SU&#39;, &#39;RY&#39;, &#39;▁MI&#39;, &#39;AT&#39;, &#39;▁BO&#39;, &#39;▁WHEN&#39;, &#39;AN&#39;, &#39;THER&#39;, &#39;PP&#39;, &#39;ATION&#39;, &#39;▁FI&#39;, &#39;▁WOULD&#39;, &#39;▁PRO&#39;, &#39;OW&#39;, &#39;ET&#39;, &#39;▁O&#39;, &#39;▁THERE&#39;, &#39;▁HO&#39;, &#39;ION&#39;, &#39;▁WHAT&#39;, &#39;▁FE&#39;, &#39;▁PA&#39;, &#39;US&#39;, &#39;MENT&#39;, &#39;▁MA&#39;, &#39;UT&#39;, &#39;▁OUT&#39;, &#39;▁THEIR&#39;, &#39;▁IF&#39;, &#39;▁LI&#39;, &#39;▁K&#39;, &#39;▁WILL&#39;, &#39;▁ARE&#39;, &#39;ID&#39;, &#39;▁RO&#39;, &#39;DE&#39;, &#39;TION&#39;, &#39;▁WA&#39;, &#39;PE&#39;, &#39;▁UP&#39;, &#39;▁SP&#39;, &#39;▁PO&#39;, &#39;IGHT&#39;, &#39;▁UN&#39;, &#39;RU&#39;, &#39;▁LO&#39;, &#39;AS&#39;, &#39;OL&#39;, &#39;▁LE&#39;, &#39;▁BEEN&#39;, &#39;▁SH&#39;, &#39;▁RA&#39;, &#39;▁SEE&#39;, &#39;KE&#39;, &#39;UL&#39;, &#39;TED&#39;, &#39;▁SA&#39;, &#39;UN&#39;, &#39;UND&#39;, &#39;ANT&#39;, &#39;▁NE&#39;, &#39;IS&#39;, &#39;▁THEM&#39;, &#39;CI&#39;, &#39;GE&#39;, &#39;▁COULD&#39;, &#39;▁DIS&#39;, &#39;OM&#39;, &#39;ISH&#39;, &#39;HE&#39;, &#39;EST&#39;, &#39;▁SOME&#39;, &#39;ENCE&#39;, &#39;ITY&#39;, &#39;IVE&#39;, &#39;▁US&#39;, &#39;▁MORE&#39;, &#39;▁EN&#39;, &#39;ARD&#39;, &#39;ATE&#39;, &#39;▁YOUR&#39;, &#39;▁INTO&#39;, &#39;▁KNOW&#39;, &#39;▁CO&#39;, &#39;ANCE&#39;, &#39;▁TIME&#39;, &#39;▁WI&#39;, &#39;▁YE&#39;, &#39;AGE&#39;, &#39;▁NOW&#39;, &#39;TI&#39;, &#39;FF&#39;, &#39;ABLE&#39;, &#39;▁VERY&#39;, &#39;▁LIKE&#39;, &#39;AM&#39;, &#39;HI&#39;, &#39;Z&#39;, &#39;▁OTHER&#39;, &#39;▁THAN&#39;, &#39;▁LITTLE&#39;, &#39;▁DID&#39;, &#39;▁LOOK&#39;, &#39;TY&#39;, &#39;ERS&#39;, &#39;▁CAN&#39;, &#39;▁CHA&#39;, &#39;▁AR&#39;, &#39;X&#39;, &#39;FUL&#39;, &#39;UGH&#39;, &#39;▁BA&#39;, &#39;▁DAY&#39;, &#39;▁ABOUT&#39;, &#39;TEN&#39;, &#39;IM&#39;, &#39;▁ANY&#39;, &#39;▁PRE&#39;, &#39;▁OVER&#39;, &#39;IES&#39;, &#39;NESS&#39;, &#39;ME&#39;, &#39;BLE&#39;, &#39;▁M&#39;, &#39;ROW&#39;, &#39;▁HAS&#39;, &#39;▁GREAT&#39;, &#39;▁VI&#39;, &#39;TA&#39;, &#39;▁AFTER&#39;, &#39;PER&#39;, &#39;▁AGAIN&#39;, &#39;HO&#39;, &#39;SH&#39;, &#39;▁UPON&#39;, &#39;▁DI&#39;, &#39;▁HAND&#39;, &#39;▁COM&#39;, &#39;IST&#39;, &#39;TURE&#39;, &#39;▁STA&#39;, &#39;▁THEN&#39;, &#39;▁SHOULD&#39;, &#39;▁GA&#39;, &#39;OUS&#39;, &#39;OUR&#39;, &#39;▁WELL&#39;, &#39;▁ONLY&#39;, &#39;MAN&#39;, &#39;▁GOOD&#39;, &#39;▁TWO&#39;, &#39;▁MAR&#39;, &#39;▁SAY&#39;, &#39;▁HU&#39;, &#39;TING&#39;, &#39;▁OUR&#39;, &#39;RESS&#39;, &#39;▁DOWN&#39;, &#39;IOUS&#39;, &#39;▁BEFORE&#39;, &#39;▁DA&#39;, &#39;▁NA&#39;, &#39;QUI&#39;, &#39;▁MADE&#39;, &#39;▁EVERY&#39;, &#39;▁OLD&#39;, &#39;▁EVEN&#39;, &#39;IG&#39;, &#39;▁COME&#39;, &#39;▁GRA&#39;, &#39;▁RI&#39;, &#39;▁LONG&#39;, &#39;OT&#39;, &#39;SIDE&#39;, &#39;WARD&#39;, &#39;▁FO&#39;, &#39;▁WHERE&#39;, &#39;MO&#39;, &#39;LESS&#39;, &#39;▁SC&#39;, &#39;▁MUST&#39;, &#39;▁NEVER&#39;, &#39;▁HOW&#39;, &#39;▁CAME&#39;, &#39;▁SUCH&#39;, &#39;▁RU&#39;, &#39;▁TAKE&#39;, &#39;▁WO&#39;, &#39;▁CAR&#39;, &#39;UM&#39;, &#39;AK&#39;, &#39;▁THINK&#39;, &#39;▁MUCH&#39;, &#39;▁MISTER&#39;, &#39;▁MAY&#39;, &#39;▁JO&#39;, &#39;▁WAY&#39;, &#39;▁COMP&#39;, &#39;▁THOUGHT&#39;, &#39;▁STO&#39;, &#39;▁MEN&#39;, &#39;▁BACK&#39;, &#39;▁DON&#39;, &#39;J&#39;, &#39;▁LET&#39;, &#39;▁TRA&#39;, &#39;▁FIRST&#39;, &#39;▁JUST&#39;, &#39;▁VA&#39;, &#39;▁OWN&#39;, &#39;▁PLA&#39;, &#39;▁MAKE&#39;, &#39;ATED&#39;, &#39;▁HIMSELF&#39;, &#39;▁WENT&#39;, &#39;▁PI&#39;, &#39;GG&#39;, &#39;RING&#39;, &#39;▁DU&#39;, &#39;▁MIGHT&#39;, &#39;▁PART&#39;, &#39;▁GIVE&#39;, &#39;▁IMP&#39;, &#39;▁BU&#39;, &#39;▁PER&#39;, &#39;▁PLACE&#39;, &#39;▁HOUSE&#39;, &#39;▁THROUGH&#39;, &#39;IAN&#39;, &#39;▁SW&#39;, &#39;▁UNDER&#39;, &#39;QUE&#39;, &#39;▁AWAY&#39;, &#39;▁LOVE&#39;, &#39;QUA&#39;, &#39;▁LIFE&#39;, &#39;▁GET&#39;, &#39;▁WITHOUT&#39;, &#39;▁PASS&#39;, &#39;▁TURN&#39;, &#39;IGN&#39;, &#39;▁HEAD&#39;, &#39;▁MOST&#39;, &#39;▁THOSE&#39;, &#39;▁SHALL&#39;, &#39;▁EYES&#39;, &#39;▁COL&#39;, &#39;▁STILL&#39;, &#39;▁NIGHT&#39;, &#39;▁NOTHING&#39;, &#39;ITION&#39;, &#39;HA&#39;, &#39;▁TELL&#39;, &#39;▁WORK&#39;, &#39;▁LAST&#39;, &#39;▁NEW&#39;, &#39;▁FACE&#39;, &#39;▁HI&#39;, &#39;▁WORD&#39;, &#39;▁FOUND&#39;, &#39;▁COUNT&#39;, &#39;▁OB&#39;, &#39;▁WHILE&#39;, &#39;▁SHA&#39;, &#39;▁MEAN&#39;, &#39;▁SAW&#39;, &#39;▁PEOPLE&#39;, &#39;▁FRIEND&#39;, &#39;▁THREE&#39;, &#39;▁ROOM&#39;, &#39;▁SAME&#39;, &#39;▁THOUGH&#39;, &#39;▁RIGHT&#39;, &#39;▁CHILD&#39;, &#39;▁FATHER&#39;, &#39;▁ANOTHER&#39;, &#39;▁HEART&#39;, &#39;▁WANT&#39;, &#39;▁TOOK&#39;, &#39;OOK&#39;, &#39;▁LIGHT&#39;, &#39;▁MISSUS&#39;, &#39;▁OPEN&#39;, &#39;▁JU&#39;, &#39;▁ASKED&#39;, &#39;PORT&#39;, &#39;▁LEFT&#39;, &#39;▁JA&#39;, &#39;▁WORLD&#39;, &#39;▁HOME&#39;, &#39;▁WHY&#39;, &#39;▁ALWAYS&#39;, &#39;▁ANSWER&#39;, &#39;▁SEEMED&#39;, &#39;▁SOMETHING&#39;, &#39;▁GIRL&#39;, &#39;▁BECAUSE&#39;, &#39;▁NAME&#39;, &#39;▁TOLD&#39;, &#39;▁NI&#39;, &#39;▁HIGH&#39;, &#39;IZE&#39;, &#39;▁WOMAN&#39;, &#39;▁FOLLOW&#39;, &#39;▁RETURN&#39;, &#39;▁KNEW&#39;, &#39;▁EACH&#39;, &#39;▁KIND&#39;, &#39;▁JE&#39;, &#39;▁ACT&#39;, &#39;▁LU&#39;, &#39;▁CERTAIN&#39;, &#39;▁YEARS&#39;, &#39;▁QUITE&#39;, &#39;▁APPEAR&#39;, &#39;▁BETTER&#39;, &#39;▁HALF&#39;, &#39;▁PRESENT&#39;, &#39;▁PRINCE&#39;, &#39;SHIP&#39;, &#39;▁ALSO&#39;, &#39;▁BEGAN&#39;, &#39;▁HAVING&#39;, &#39;▁ENOUGH&#39;, &#39;▁PERSON&#39;, &#39;▁LADY&#39;, &#39;▁WHITE&#39;, &#39;▁COURSE&#39;, &#39;▁VOICE&#39;, &#39;▁SPEAK&#39;, &#39;▁POWER&#39;, &#39;▁MORNING&#39;, &#39;▁BETWEEN&#39;, &#39;▁AMONG&#39;, &#39;▁KEEP&#39;, &#39;▁WALK&#39;, &#39;▁MATTER&#39;, &#39;▁TEA&#39;, &#39;▁BELIEVE&#39;, &#39;▁SMALL&#39;, &#39;▁TALK&#39;, &#39;▁FELT&#39;, &#39;▁HORSE&#39;, &#39;▁MYSELF&#39;, &#39;▁SIX&#39;, &#39;▁HOWEVER&#39;, &#39;▁FULL&#39;, &#39;▁HERSELF&#39;, &#39;▁POINT&#39;, &#39;▁STOOD&#39;, &#39;▁HUNDRED&#39;, &#39;▁ALMOST&#39;, &#39;▁SINCE&#39;, &#39;▁LARGE&#39;, &#39;▁LEAVE&#39;, &#39;▁PERHAPS&#39;, &#39;▁DARK&#39;, &#39;▁SUDDEN&#39;, &#39;▁REPLIED&#39;, &#39;▁ANYTHING&#39;, &#39;▁WONDER&#39;, &#39;▁UNTIL&#39;, &#39;Q&#39;]
 </pre></div>
 </div>
@@ -725,7 +738,7 @@ <h3>beam size<a class="headerlink" href="#beam-size" title="Permalink to this he
     <span class="n">print_decoded</span><span class="p">(</span><span class="n">beam_search_decoder</span><span class="p">,</span> <span class="n">bpe_model</span><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">log_prob</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">encoder_out_lens</span></a><span class="p">,</span> <span class="s2">&quot;beam size&quot;</span><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">beam_size</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -1.35; 0.0010 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>beam size 1  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -1.35; 0.0009 secs)
 beam size 2  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.21; 0.0009 secs)
 beam size 3  : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0009 secs)
 beam size 10 : i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0010 secs)
@@ -754,7 +767,7 @@ <h3>blank skip threshold<a class="headerlink" href="#blank-skip-threshold" title
 <span class="k">del</span> <span class="n">cuda_decoder</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blank_skip_threshold 0.25: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: -0.01; 0.0009 secs)
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>blank_skip_threshold 0.25: i really was very much afraid of showing him how much shocked i was at some part of what he said (score: -0.01; 0.0010 secs)
 blank_skip_threshold 0.95: i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.20; 0.0010 secs)
 blank_skip_threshold 1.0: i really was very much afraid of showing him how much shocked i was at some parts of what he said (score: -0.21; 0.0044 secs)
 </pre></div>
@@ -802,7 +815,7 @@ <h2>Benchmark with flashlight CPU decoder<a class="headerlink" href="#benchmark-
 </tbody>
 </table>
 <p>From the above table, CUDA decoder could give a slight improvement in WER and a significant increase in throughput.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.783 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.457 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-asr-inference-with-cuda-ctc-decoder-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/3956cf493d21711e687e9610c91f9cd1/asr_inference_with_cuda_ctc_decoder_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">asr_inference_with_cuda_ctc_decoder_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_data_augmentation_tutorial.html b/main/tutorials/audio_data_augmentation_tutorial.html
index 9344000fa8..54034264bb 100644
--- a/main/tutorials/audio_data_augmentation_tutorial.html
+++ b/main/tutorials/audio_data_augmentation_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Data Augmentation &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Audio Data Augmentation &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -478,8 +478,8 @@
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="preparation">
@@ -496,13 +496,13 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/427k [00:00&lt;?, ?B/s]
-100%|##########| 427k/427k [00:00&lt;00:00, 96.6MB/s]
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   0%|          | 0.00/31.3k [00:00&lt;?, ?B/s]
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-100%|##########| 78.2k/78.2k [00:00&lt;00:00, 52.3MB/s]
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 </pre></div>
 </div>
 </section>
@@ -1046,7 +1046,7 @@ <h3>Codec applied<a class="headerlink" href="#codec-applied" title="Permalink to
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  14.156 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  15.432 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-data-augmentation-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/5035f46f2e1c1557dfa0ffabb90a0b0a/audio_data_augmentation_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_data_augmentation_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_datasets_tutorial.html b/main/tutorials/audio_datasets_tutorial.html
index 61062f0baf..9c39c0106b 100644
--- a/main/tutorials/audio_datasets_tutorial.html
+++ b/main/tutorials/audio_datasets_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Datasets &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Audio Datasets &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -474,8 +474,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
@@ -505,11 +505,10 @@
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/4.49M [00:00&lt;?, ?B/s]
-  3%|2         | 128k/4.49M [00:00&lt;00:08, 526kB/s]
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- 39%|###9      | 1.75M/4.49M [00:00&lt;00:00, 4.87MB/s]
- 81%|########  | 3.62M/4.49M [00:00&lt;00:00, 8.05MB/s]
-100%|##########| 4.49M/4.49M [00:00&lt;00:00, 7.04MB/s]
+  3%|2         | 128k/4.49M [00:00&lt;00:08, 552kB/s]
+ 11%|#1        | 512k/4.49M [00:00&lt;00:02, 1.49MB/s]
+ 42%|####1     | 1.88M/4.49M [00:00&lt;00:00, 4.60MB/s]
+100%|##########| 4.49M/4.49M [00:00&lt;00:00, 7.39MB/s]
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a> <span class="o">=</span> <span class="mi">1</span>
@@ -557,7 +556,7 @@
 
 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.954 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.922 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-datasets-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/85c13601458553ad52e6b12e51df5327/audio_datasets_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_datasets_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_feature_augmentation_tutorial.html b/main/tutorials/audio_feature_augmentation_tutorial.html
index abb7270622..a153ff48b1 100644
--- a/main/tutorials/audio_feature_augmentation_tutorial.html
+++ b/main/tutorials/audio_feature_augmentation_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Feature Augmentation &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Audio Feature Augmentation &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -476,8 +476,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="preparation">
@@ -638,7 +638,7 @@ <h2>Time and Frequency Masking<a class="headerlink" href="#time-and-frequency-ma
 <span class="n">plot</span><span class="p">()</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_audio_feature_augmentation_tutorial_002.png" srcset="../_images/sphx_glr_audio_feature_augmentation_tutorial_002.png" alt="Original, Masked along time axis, Masked along frequency axis" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.211 seconds)</p>
+<img src="../_images/sphx_glr_audio_feature_augmentation_tutorial_002.png" srcset="../_images/sphx_glr_audio_feature_augmentation_tutorial_002.png" alt="Original, Masked along time axis, Masked along frequency axis" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.219 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-feature-augmentation-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/990b89939a1ec55aa67059703f290ab8/audio_feature_augmentation_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_feature_augmentation_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_feature_extractions_tutorial.html b/main/tutorials/audio_feature_extractions_tutorial.html
index 3e23c2e0e6..1c16fe0772 100644
--- a/main/tutorials/audio_feature_extractions_tutorial.html
+++ b/main/tutorials/audio_feature_extractions_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Feature Extractions &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Audio Feature Extractions &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -484,8 +484,8 @@
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="overview-of-audio-features">
@@ -903,7 +903,7 @@ <h2>Pitch<a class="headerlink" href="#pitch" title="Permalink to this heading">
 <span class="n">plot_pitch</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SPEECH_WAVEFORM</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SAMPLE_RATE</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pitch</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<img src="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" srcset="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" alt="Pitch Feature" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  9.870 seconds)</p>
+<img src="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" srcset="../_images/sphx_glr_audio_feature_extractions_tutorial_012.png" alt="Pitch Feature" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.218 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-feature-extractions-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/0face80178ed0d1cefd2a173a7262afb/audio_feature_extractions_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_feature_extractions_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_io_tutorial.html b/main/tutorials/audio_io_tutorial.html
index a234c02a8f..80d063380a 100644
--- a/main/tutorials/audio_io_tutorial.html
+++ b/main/tutorials/audio_io_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio I/O &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Audio I/O &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -479,8 +479,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="preparation">
@@ -524,10 +524,10 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/7.99k [00:00&lt;?, ?B/s]
-100%|##########| 7.99k/7.99k [00:00&lt;00:00, 10.8MB/s]
+100%|##########| 7.99k/7.99k [00:00&lt;00:00, 14.2MB/s]
 
   0%|          | 0.00/53.2k [00:00&lt;?, ?B/s]
-100%|##########| 53.2k/53.2k [00:00&lt;00:00, 41.5MB/s]
+100%|##########| 53.2k/53.2k [00:00&lt;00:00, 34.4MB/s]
 </pre></div>
 </div>
 </section>
@@ -696,7 +696,7 @@ <h2>Loading from file-like object<a class="headerlink" href="#loading-from-file-
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_io_tutorial_004.png" srcset="../_images/sphx_glr_audio_io_tutorial_004.png" alt="TAR file" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/110k [00:00&lt;?, ?B/s]
-100%|##########| 110k/110k [00:00&lt;00:00, 77.8MB/s]
+100%|##########| 110k/110k [00:00&lt;00:00, 50.5MB/s]
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="c1"># Load audio from S3</span>
@@ -797,7 +797,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmppsxw0re9/save_example_default.wav
+Source: /tmp/tmp_0ct_uw2/save_example_default.wav
 ----------
  - File size: 108878 bytes
  - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -812,7 +812,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmpm3m4q8ju/save_example_PCM_S16.wav
+Source: /tmp/tmp1wv6v524/save_example_PCM_S16.wav
 ----------
  - File size: 108878 bytes
  - AudioMetaData(sample_rate=16000, num_frames=54400, num_channels=1, bits_per_sample=16, encoding=PCM_S)
@@ -839,7 +839,7 @@ <h2>Saving audio to file<a class="headerlink" href="#saving-audio-to-file" title
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>----------
-Source: /tmp/tmpu53r7fzy/save_example.flac
+Source: /tmp/tmpfxm8l6_c/save_example.flac
 ----------
  - File size: 45262 bytes
  - AudioMetaData(sample_rate=8000, num_frames=27200, num_channels=1, bits_per_sample=16, encoding=FLAC)
@@ -864,7 +864,7 @@ <h2>Saving to file-like object<a class="headerlink" href="#saving-to-file-like-o
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>b&#39;RIFFF\xa9\x01\x00WAVEfmt &#39;
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.624 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.054 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-io-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a50b7a9d7eda039b9579621100be1417/audio_io_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_io_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/audio_resampling_tutorial.html b/main/tutorials/audio_resampling_tutorial.html
index d4fc19924d..1c6c27cc57 100644
--- a/main/tutorials/audio_resampling_tutorial.html
+++ b/main/tutorials/audio_resampling_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Audio Resampling &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Audio Resampling &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -474,8 +474,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="preparation">
@@ -780,7 +780,7 @@ <h2>Performance Benchmarking<a class="headerlink" href="#performance-benchmarkin
 <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;resampy: </span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">resampy</span><span class="o">.</span><span class="n">__version__</span></a><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>torchaudio: 2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>torchaudio: 2.5.0.dev20241104
 librosa: 0.10.0
 resampy: 0.2.2
 </pre></div>
@@ -944,10 +944,10 @@ <h3>Downsample (48 -&gt; 44.1 kHz)<a class="headerlink" href="#downsample-48-44-
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_resampling_tutorial_013.png" srcset="../_images/sphx_glr_audio_resampling_tutorial_013.png" alt="audio resampling tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>                 librosa  functional  transforms
-sinc (width 64)      NaN        0.89        0.38
-sinc (width 16)      NaN        0.71        0.34
-kaiser_best        83.50        1.29        0.37
-kaiser_fast         7.89        0.96        0.35
+sinc (width 64)      NaN        0.95        0.39
+sinc (width 16)      NaN        0.75        0.35
+kaiser_best        82.68        1.34        0.41
+kaiser_fast         7.87        0.95        0.35
 </pre></div>
 </div>
 </section>
@@ -958,10 +958,10 @@ <h3>Downsample (16 -&gt; 8 kHz)<a class="headerlink" href="#downsample-16-8-khz"
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_resampling_tutorial_014.png" srcset="../_images/sphx_glr_audio_resampling_tutorial_014.png" alt="audio resampling tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>                 librosa  functional  transforms
-sinc (width 64)      NaN        1.29        1.10
-sinc (width 16)      NaN        0.52        0.38
-kaiser_best        11.30        1.35        1.16
-kaiser_fast         3.16        0.66        0.39
+sinc (width 64)      NaN        1.31        1.11
+sinc (width 16)      NaN        0.53        0.38
+kaiser_best        11.26        1.39        1.17
+kaiser_fast         3.13        0.69        0.41
 </pre></div>
 </div>
 </section>
@@ -972,10 +972,10 @@ <h3>Upsample (44.1 -&gt; 48 kHz)<a class="headerlink" href="#upsample-44-1-48-kh
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_resampling_tutorial_015.png" srcset="../_images/sphx_glr_audio_resampling_tutorial_015.png" alt="audio resampling tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>                 librosa  functional  transforms
-sinc (width 64)      NaN        0.88        0.37
-sinc (width 16)      NaN        0.70        0.33
-kaiser_best        33.32        1.11        0.37
-kaiser_fast         7.88        0.93        0.34
+sinc (width 64)      NaN        0.92        0.39
+sinc (width 16)      NaN        0.71        0.35
+kaiser_best        32.63        1.13        0.39
+kaiser_fast         7.82        0.99        0.35
 </pre></div>
 </div>
 </section>
@@ -986,10 +986,10 @@ <h3>Upsample (8 -&gt; 16 kHz)<a class="headerlink" href="#upsample-8-16-khz" tit
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_audio_resampling_tutorial_016.png" srcset="../_images/sphx_glr_audio_resampling_tutorial_016.png" alt="audio resampling tutorial" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>                 librosa  functional  transforms
-sinc (width 64)      NaN        0.67        0.47
-sinc (width 16)      NaN        0.35        0.21
-kaiser_best        11.22        0.71        0.49
-kaiser_fast         3.00        0.40        0.23
+sinc (width 64)      NaN        0.65        0.43
+sinc (width 16)      NaN        0.36        0.21
+kaiser_best        11.19        0.65        0.45
+kaiser_fast         2.96        0.40        0.22
 </pre></div>
 </div>
 </section>
@@ -1006,7 +1006,7 @@ <h3>Summary<a class="headerlink" href="#summary" title="Permalink to this headin
 <li><p>a large GCD between the sample and resample rate will result
 in a simplification that allows for a smaller kernel and faster kernel computation.</p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.348 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.359 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-audio-resampling-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/59ad7db3945dd23dbc0f8d9eef766370/audio_resampling_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">audio_resampling_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/ctc_forced_alignment_api_tutorial.html b/main/tutorials/ctc_forced_alignment_api_tutorial.html
index 4059cbc19e..742e94f86c 100644
--- a/main/tutorials/ctc_forced_alignment_api_tutorial.html
+++ b/main/tutorials/ctc_forced_alignment_api_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>CTC forced alignment API tutorial &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>CTC forced alignment API tutorial &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -486,8 +486,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a> <span class="o">=</span> <a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class"><span class="n">torch</span><span class="o">.</span><span class="n">device</span></a><span class="p">(</span><span class="s2">&quot;cuda&quot;</span> <span class="k">if</span> <a href="https://pytorch.org/docs/stable/generated/torch.cuda.is_available.html#torch.cuda.is_available" title="torch.cuda.is_available" class="sphx-glr-backref-module-torch-cuda sphx-glr-backref-type-py-function"><span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span></a><span class="p">()</span> <span class="k">else</span> <span class="s2">&quot;cpu&quot;</span><span class="p">)</span>
@@ -534,61 +534,71 @@ <h3>Generating emissions<a class="headerlink" href="#generating-emissions" title
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://dl.fbaipublicfiles.com/mms/torchaudio/ctc_alignment_mling_uroman/model.pt&quot; to /root/.cache/torch/hub/checkpoints/model.pt
 
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot_emission</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a><span class="p">):</span>
@@ -1344,7 +1354,7 @@ <h2>Acknowledgement<a class="headerlink" href="#acknowledgement" title="Permalin
 <p>Thanks to <a class="reference external" href="mailto:vineelkpratap&#37;&#52;&#48;meta&#46;com">Vineel Pratap</a> and <a class="reference external" href="mailto:zni&#37;&#52;&#48;meta&#46;com">Zhaoheng
 Ni</a> for developing and open-sourcing the
 forced aligner API.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  9.681 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  10.789 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-ctc-forced-alignment-api-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/fd312a07c77ccd892cb337379bf91f16/ctc_forced_alignment_api_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">ctc_forced_alignment_api_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/device_asr.html b/main/tutorials/device_asr.html
index fa98649473..643cbf68d6 100644
--- a/main/tutorials/device_asr.html
+++ b/main/tutorials/device_asr.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Device ASR with Emformer RNN-T &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Device ASR with Emformer RNN-T &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/tutorials/device_avsr.html b/main/tutorials/device_avsr.html
index 48a10393fe..1b445fd3a3 100644
--- a/main/tutorials/device_avsr.html
+++ b/main/tutorials/device_avsr.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Device AV-ASR with Emformer RNN-T &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Device AV-ASR with Emformer RNN-T &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/tutorials/effector_tutorial.html b/main/tutorials/effector_tutorial.html
index 6fcf5d540b..0d5c85d42c 100644
--- a/main/tutorials/effector_tutorial.html
+++ b/main/tutorials/effector_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>AudioEffector Usages &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>AudioEffector Usages &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -487,8 +487,8 @@ <h2>Overview<a class="headerlink" href="#overview" title="Permalink to this head
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">torchaudio.io</span> <span class="kn">import</span> <span class="n">AudioEffector</span><span class="p">,</span> <span class="n">CodecConfig</span>
@@ -1104,7 +1104,7 @@ <h4>qscale=1<a class="headerlink" href="#qscale-1" title="Permalink to this head
 </div>
 <br />
 <br /><p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.032 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.031 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-effector-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/35b17eb90c4f61debd1025eb60d50269/effector_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">effector_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/filter_design_tutorial.html b/main/tutorials/filter_design_tutorial.html
index fab9717570..5e2943d79b 100644
--- a/main/tutorials/filter_design_tutorial.html
+++ b/main/tutorials/filter_design_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Filter design tutorial &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Filter design tutorial &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -484,8 +484,8 @@
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">torchaudio.prototype.functional</span> <span class="kn">import</span> <span class="n">frequency_impulse_response</span><span class="p">,</span> <span class="n">sinc_impulse_response</span>
@@ -723,7 +723,7 @@ <h2>References<a class="headerlink" href="#references" title="Permalink to this
 <li><p><a class="reference external" href="https://courses.engr.illinois.edu/ece401/fa2020/slides/lec10.pdf">https://courses.engr.illinois.edu/ece401/fa2020/slides/lec10.pdf</a></p></li>
 <li><p><a class="reference external" href="https://ccrma.stanford.edu/~jos/sasp/Windowing_Desired_Impulse_Response.html">https://ccrma.stanford.edu/~jos/sasp/Windowing_Desired_Impulse_Response.html</a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  5.182 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  5.238 seconds)</p>
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 <p><a class="reference download internal" download="" href="../_downloads/5ff2f7762ef4d114b8d7b7a77e9e6967/filter_design_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">filter_design_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/forced_alignment_for_multilingual_data_tutorial.html b/main/tutorials/forced_alignment_for_multilingual_data_tutorial.html
index 3a11b49b46..5a361977a2 100644
--- a/main/tutorials/forced_alignment_for_multilingual_data_tutorial.html
+++ b/main/tutorials/forced_alignment_for_multilingual_data_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Forced alignment for multilingual data &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Forced alignment for multilingual data &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -481,8 +481,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 cuda
 </pre></div>
 </div>
@@ -1462,7 +1462,7 @@ <h2>Acknowledgement<a class="headerlink" href="#acknowledgement" title="Permalin
 <p>Thanks to <a class="reference external" href="mailto:vineelkpratap&#37;&#52;&#48;meta&#46;com">Vineel Pratap</a> and <a class="reference external" href="mailto:zni&#37;&#52;&#48;meta&#46;com">Zhaoheng
 Ni</a> for developing and open-sourcing the
 forced aligner API.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.606 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.886 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-forced-alignment-for-multilingual-data-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/a662d1f1f11633103b4b95ad4b68013c/forced_alignment_for_multilingual_data_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">forced_alignment_for_multilingual_data_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/forced_alignment_tutorial.html b/main/tutorials/forced_alignment_tutorial.html
index 676ad9000c..4a6f0bdd33 100644
--- a/main/tutorials/forced_alignment_tutorial.html
+++ b/main/tutorials/forced_alignment_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Forced Alignment with Wav2Vec2 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Forced Alignment with Wav2Vec2 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -495,8 +495,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 cuda
 </pre></div>
 </div>
@@ -1304,7 +1304,7 @@ <h2>Audio Samples<a class="headerlink" href="#audio-samples" title="Permalink to
 <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this heading">¶</a></h2>
 <p>In this tutorial, we looked how to use torchaudio’s Wav2Vec2 model to
 perform CTC segmentation for forced alignment.</p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.729 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  1.737 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-forced-alignment-tutorial-py">
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 <p><a class="reference download internal" download="" href="../_downloads/fa57890a830bd47c0baa254781b3a8e1/forced_alignment_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">forced_alignment_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/hybrid_demucs_tutorial.html b/main/tutorials/hybrid_demucs_tutorial.html
index a48bf4e328..287e1a3d9a 100644
--- a/main/tutorials/hybrid_demucs_tutorial.html
+++ b/main/tutorials/hybrid_demucs_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Music Source Separation with Hybrid Demucs &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Music Source Separation with Hybrid Demucs &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -497,8 +497,8 @@ <h2>2. Preparation<a class="headerlink" href="#preparation" title="Permalink to
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <p>In addition to <code class="docutils literal notranslate"><span class="pre">torchaudio</span></code>, <code class="docutils literal notranslate"><span class="pre">mir_eval</span></code> is required to perform
@@ -534,16 +534,13 @@ <h2>3. Construct the pipeline<a class="headerlink" href="#construct-the-pipeline
 </pre></div>
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 /pytorch/audio/src/torchaudio/pipelines/_source_separation_pipeline.py:56: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
   state_dict = torch.load(path)
 Sample rate: 44100
@@ -673,8 +670,9 @@ <h2>5. Run Model<a class="headerlink" href="#run-model" title="Permalink to this
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 </pre></div>
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@@ -738,16 +736,16 @@ <h3>5.2 Audio Segmenting and Processing<a class="headerlink" href="#audio-segmen
 </pre></div>
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@@ -861,7 +859,7 @@ <h3>5.3 Spectrograms and Audio<a class="headerlink" href="#spectrograms-and-audi
 <span class="c1"># Audio(audios[&quot;other&quot;], rate=sample_rate)</span>
 </pre></div>
 </div>
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 <p><a class="reference download internal" download="" href="../_downloads/d7783185e54fb77cb13eb7133fa130a3/hybrid_demucs_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">hybrid_demucs_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/mvdr_tutorial.html b/main/tutorials/mvdr_tutorial.html
index 4ed785f011..f1d7d84b12 100644
--- a/main/tutorials/mvdr_tutorial.html
+++ b/main/tutorials/mvdr_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Speech Enhancement with MVDR Beamforming &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Speech Enhancement with MVDR Beamforming &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -495,8 +495,8 @@ <h2>1. Overview<a class="headerlink" href="#overview" title="Permalink to this h
 <span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">Audio</span>
 </pre></div>
 </div>
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-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 </section>
@@ -542,10 +542,10 @@ <h3>2.2. Download audio data<a class="headerlink" href="#download-audio-data" ti
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 </div>
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 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-mvdr-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/50de4231f2cfe5d85bac91915f27f92c/mvdr_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">mvdr_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/nvdec_tutorial.html b/main/tutorials/nvdec_tutorial.html
index f64bcdf8fc..b721079068 100644
--- a/main/tutorials/nvdec_tutorial.html
+++ b/main/tutorials/nvdec_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Accelerated video decoding with NVDEC &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Accelerated video decoding with NVDEC &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -481,8 +481,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
@@ -536,7 +536,7 @@ <h2>Check the prerequisites<a class="headerlink" href="#check-the-prerequisites"
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Avaialbe GPU:
-_CudaDeviceProperties(name=&#39;NVIDIA A10G&#39;, major=8, minor=6, total_memory=22502MB, multi_processor_count=80, uuid=6a6538ed-21ff-6889-11e8-f367bc4ac41d, L2_cache_size=6MB)
+_CudaDeviceProperties(name=&#39;NVIDIA A10G&#39;, major=8, minor=6, total_memory=22502MB, multi_processor_count=80, uuid=1790a81d-e849-fc0e-358f-b205e90278a1, L2_cache_size=6MB)
 </pre></div>
 </div>
 <p>We will use the following video which has the following properties;</p>
@@ -554,10 +554,7 @@ <h2>Check the prerequisites<a class="headerlink" href="#check-the-prerequisites"
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/31.8M [00:00&lt;?, ?B/s]
- 50%|####9     | 15.8M/31.8M [00:00&lt;00:00, 25.4MB/s]
- 57%|#####7    | 18.2M/31.8M [00:00&lt;00:00, 22.0MB/s]
- 98%|#########8| 31.2M/31.8M [00:00&lt;00:00, 38.8MB/s]
-100%|##########| 31.8M/31.8M [00:00&lt;00:00, 33.4MB/s]
+100%|##########| 31.8M/31.8M [00:00&lt;00:00, 442MB/s]
 </pre></div>
 </div>
 </section>
@@ -590,7 +587,7 @@ <h2>Decoding videos with NVDEC<a class="headerlink" href="#decoding-videos-with-
 <p>By specifying <code class="docutils literal notranslate"><span class="pre">hw_accel</span></code> option, you can convert the decoded frames
 to CUDA tensor.
 <code class="docutils literal notranslate"><span class="pre">hw_accel</span></code> option takes string values and pass it
-to <a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.4)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.device</span></code></a>.</p>
+to <a class="reference external" href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="(in PyTorch v2.5)"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.device</span></code></a>.</p>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
 <p>Currently, <code class="docutils literal notranslate"><span class="pre">hw_accel</span></code> option and
@@ -790,7 +787,7 @@ <h2>Comparing resizing methods<a class="headerlink" href="#comparing-resizing-me
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/232k [00:00&lt;?, ?B/s]
-100%|##########| 232k/232k [00:00&lt;00:00, 62.2MB/s]
+100%|##########| 232k/232k [00:00&lt;00:00, 79.2MB/s]
 </pre></div>
 </div>
 <p>The following function decodes video and
@@ -932,23 +929,23 @@ <h2>QVGA<a class="headerlink" href="#qvga" title="Permalink to this heading">¶<
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/1.06M [00:00&lt;?, ?B/s]
-100%|##########| 1.06M/1.06M [00:00&lt;00:00, 176MB/s]
+100%|##########| 1.06M/1.06M [00:00&lt;00:00, 192MB/s]
 Testing: testsrc2_qvga.h264.mp4
 * Software decoding (num_threads=1)
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 900 frames in 0.51 seconds. (1780.94 fps)
+ - Processed 900 frames in 0.49 seconds. (1850.30 fps)
 * Software decoding (num_threads=4)
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 900 frames in 0.35 seconds. (2539.42 fps)
+ - Processed 900 frames in 0.34 seconds. (2672.45 fps)
 * Software decoding (num_threads=8)
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 900 frames in 0.37 seconds. (2429.16 fps)
+ - Processed 900 frames in 0.34 seconds. (2655.28 fps)
 * Software decoding (num_threads=16)
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 895 frames in 0.39 seconds. (2272.61 fps)
+ - Processed 895 frames in 0.36 seconds. (2514.83 fps)
 * Hardware decoding
  - Shape: torch.Size([5, 3, 240, 320])
- - Processed 900 frames in 2.01 seconds. (447.63 fps)
+ - Processed 900 frames in 2.02 seconds. (445.88 fps)
 </pre></div>
 </div>
 </section>
@@ -959,23 +956,23 @@ <h2>VGA<a class="headerlink" href="#vga" title="Permalink to this heading">¶</a
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/3.59M [00:00&lt;?, ?B/s]
-100%|##########| 3.59M/3.59M [00:00&lt;00:00, 370MB/s]
+100%|##########| 3.59M/3.59M [00:00&lt;00:00, 169MB/s]
 Testing: testsrc2_vga.h264.mp4
 * Software decoding (num_threads=1)
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 900 frames in 1.19 seconds. (753.79 fps)
+ - Processed 900 frames in 1.21 seconds. (744.62 fps)
 * Software decoding (num_threads=4)
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 900 frames in 0.66 seconds. (1358.71 fps)
+ - Processed 900 frames in 0.61 seconds. (1478.50 fps)
 * Software decoding (num_threads=8)
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 900 frames in 0.65 seconds. (1377.95 fps)
+ - Processed 900 frames in 0.63 seconds. (1433.92 fps)
 * Software decoding (num_threads=16)
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 895 frames in 0.68 seconds. (1313.18 fps)
+ - Processed 895 frames in 0.61 seconds. (1476.78 fps)
 * Hardware decoding
  - Shape: torch.Size([5, 3, 480, 640])
- - Processed 900 frames in 0.34 seconds. (2635.48 fps)
+ - Processed 900 frames in 0.34 seconds. (2632.81 fps)
 </pre></div>
 </div>
 </section>
@@ -986,23 +983,23 @@ <h2>XGA<a class="headerlink" href="#xga" title="Permalink to this heading">¶</a
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>  0%|          | 0.00/9.22M [00:00&lt;?, ?B/s]
-100%|##########| 9.22M/9.22M [00:00&lt;00:00, 177MB/s]
+100%|##########| 9.22M/9.22M [00:00&lt;00:00, 185MB/s]
 Testing: testsrc2_xga.h264.mp4
 * Software decoding (num_threads=1)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 2.65 seconds. (339.10 fps)
+ - Processed 900 frames in 2.74 seconds. (328.40 fps)
 * Software decoding (num_threads=4)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 1.27 seconds. (706.79 fps)
+ - Processed 900 frames in 1.39 seconds. (647.76 fps)
 * Software decoding (num_threads=8)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 1.33 seconds. (677.44 fps)
+ - Processed 900 frames in 1.34 seconds. (671.66 fps)
 * Software decoding (num_threads=16)
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 895 frames in 1.35 seconds. (663.43 fps)
+ - Processed 895 frames in 1.38 seconds. (648.84 fps)
 * Hardware decoding
  - Shape: torch.Size([5, 3, 768, 1024])
- - Processed 900 frames in 0.61 seconds. (1469.32 fps)
+ - Processed 900 frames in 0.61 seconds. (1471.53 fps)
 </pre></div>
 </div>
 </section>
@@ -1057,7 +1054,7 @@ <h2>Decode and resize<a class="headerlink" href="#decode-and-resize" title="Perm
 <ol class="arabic simple">
 <li><p>Decode video using software decoder and read the frames as
 PyTorch Tensor. Resize the tensor using
-<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch.nn.functional.interpolate" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.interpolate()</span></code></a>, then send
+<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch.nn.functional.interpolate" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.interpolate()</span></code></a>, then send
 the resulting tensor to CUDA device.</p></li>
 <li><p>Decode video using software decoder, resize the frame with
 FFmpeg’s filter graph, read the resized frames as PyTorch tensor,
@@ -1071,7 +1068,7 @@ <h2>Decode and resize<a class="headerlink" href="#decode-and-resize" title="Perm
 <p>The pipeline 3 has the minimum amount of data transfer from CPU to
 CUDA, which significantly contribute to performant data loading.</p>
 <p>The following function implements the pipeline 1. It uses PyTorch’s
-<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch.nn.functional.interpolate" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.interpolate()</span></code></a>.
+<a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.nn.functional.interpolate.html#torch.nn.functional.interpolate" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.nn.functional.interpolate()</span></code></a>.
 We use <code class="docutils literal notranslate"><span class="pre">bincubic</span></code> mode, as we saw that the resulting frames are
 closest to NVDEC resizing.</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">test_decode_then_resize</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">src</span></a><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;bicubic&quot;</span><span class="p">,</span> <span class="n">frames_per_chunk</span><span class="o">=</span><span class="mi">5</span><span class="p">):</span>
@@ -1158,13 +1155,13 @@ <h2>QVGA<a class="headerlink" href="#id1" title="Permalink to this heading">¶</
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing: testsrc2_qvga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.76 seconds. (1176.95 fps)
+ - Processed 900 frames in 0.65 seconds. (1381.87 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.41 seconds. (2177.13 fps)
+ - Processed 900 frames in 0.36 seconds. (2526.35 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 2.02 seconds. (446.24 fps)
+ - Processed 900 frames in 2.02 seconds. (444.45 fps)
 </pre></div>
 </div>
 </section>
@@ -1176,13 +1173,13 @@ <h2>VGA<a class="headerlink" href="#id2" title="Permalink to this heading">¶</a
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing: testsrc2_vga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 1.37 seconds. (657.75 fps)
+ - Processed 900 frames in 1.38 seconds. (650.54 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.67 seconds. (1344.13 fps)
+ - Processed 900 frames in 0.62 seconds. (1462.53 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.34 seconds. (2653.35 fps)
+ - Processed 900 frames in 0.34 seconds. (2653.54 fps)
 </pre></div>
 </div>
 </section>
@@ -1194,13 +1191,13 @@ <h2>XGA<a class="headerlink" href="#id3" title="Permalink to this heading">¶</a
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing: testsrc2_xga.h264.mp4
 * Software decoding with PyTorch interpolate
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 2.69 seconds. (334.22 fps)
+ - Processed 900 frames in 2.70 seconds. (333.34 fps)
 * Software decoding with FFmpeg scale
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 1.12 seconds. (806.66 fps)
+ - Processed 900 frames in 1.09 seconds. (827.10 fps)
 * Hardware decoding with resize
  - Shape: torch.Size([5, 3, 224, 224])
- - Processed 900 frames in 0.61 seconds. (1479.64 fps)
+ - Processed 900 frames in 0.61 seconds. (1479.29 fps)
 </pre></div>
 </div>
 </section>
@@ -1241,7 +1238,7 @@ <h2>Result<a class="headerlink" href="#id4" title="Permalink to this heading">¶
 manipulated and copied are smaller than the case where applying
 resizing after frames are converted to Tensor.</p>
 <p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  32.078 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  30.686 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-nvdec-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/2c0cb1d7d79d5a5622253c098a75dbf0/nvdec_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">nvdec_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/nvenc_tutorial.html b/main/tutorials/nvenc_tutorial.html
index 2c188b823f..f7c82c1158 100644
--- a/main/tutorials/nvenc_tutorial.html
+++ b/main/tutorials/nvenc_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Accelerated video encoding with NVENC &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Accelerated video encoding with NVENC &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -501,8 +501,8 @@
 <span class="kn">from</span> <span class="nn">torchaudio.io</span> <span class="kn">import</span> <span class="n">StreamReader</span><span class="p">,</span> <span class="n">StreamWriter</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="check-the-prerequisites">
@@ -542,7 +542,7 @@ <h2>Check the prerequisites<a class="headerlink" href="#check-the-prerequisites"
 </pre></div>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Avaialbe GPU:
-_CudaDeviceProperties(name=&#39;NVIDIA A10G&#39;, major=8, minor=6, total_memory=22502MB, multi_processor_count=80, uuid=6a6538ed-21ff-6889-11e8-f367bc4ac41d, L2_cache_size=6MB)
+_CudaDeviceProperties(name=&#39;NVIDIA A10G&#39;, major=8, minor=6, total_memory=22502MB, multi_processor_count=80, uuid=1790a81d-e849-fc0e-358f-b205e90278a1, L2_cache_size=6MB)
 </pre></div>
 </div>
 <p>We use the following helper function to generate test frame data.
@@ -698,19 +698,19 @@ <h2>360P<a class="headerlink" href="#p" title="Permalink to this heading">¶</a>
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing resolution: 640x360
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 0.63 seconds. (190.09 fps)
+ - Processed 120 frames in 0.63 seconds. (189.06 fps)
  - Encoded data size: 381331 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 0.24 seconds. (499.85 fps)
+ - Processed 120 frames in 0.27 seconds. (445.74 fps)
  - Encoded data size: 381307 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 0.18 seconds. (650.79 fps)
+ - Processed 120 frames in 0.20 seconds. (607.58 fps)
  - Encoded data size: 390689 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.05 seconds. (2254.01 fps)
+ - Processed 120 frames in 0.05 seconds. (2254.46 fps)
  - Encoded data size: 1262979 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.05 seconds. (2581.25 fps)
+ - Processed 120 frames in 0.05 seconds. (2599.73 fps)
  - Encoded data size: 1262979 bytes
 </pre></div>
 </div>
@@ -722,19 +722,19 @@ <h2>720P<a class="headerlink" href="#id1" title="Permalink to this heading">¶</
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing resolution: 1280x720
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 2.32 seconds. (51.75 fps)
+ - Processed 120 frames in 2.35 seconds. (51.12 fps)
  - Encoded data size: 1335451 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 0.88 seconds. (136.65 fps)
+ - Processed 120 frames in 0.90 seconds. (132.62 fps)
  - Encoded data size: 1336418 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 0.76 seconds. (158.75 fps)
+ - Processed 120 frames in 0.72 seconds. (166.49 fps)
  - Encoded data size: 1344063 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.32 seconds. (369.69 fps)
+ - Processed 120 frames in 0.33 seconds. (365.19 fps)
  - Encoded data size: 1358969 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.15 seconds. (801.95 fps)
+ - Processed 120 frames in 0.15 seconds. (803.82 fps)
  - Encoded data size: 1358969 bytes
 </pre></div>
 </div>
@@ -746,19 +746,19 @@ <h2>1080P<a class="headerlink" href="#id2" title="Permalink to this heading">¶<
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Testing resolution: 1920x1080
 * Software Encoder (num_threads=1)
- - Processed 120 frames in 4.82 seconds. (24.88 fps)
+ - Processed 120 frames in 4.85 seconds. (24.72 fps)
  - Encoded data size: 2678241 bytes
 * Software Encoder (num_threads=4)
- - Processed 120 frames in 1.83 seconds. (65.67 fps)
+ - Processed 120 frames in 1.85 seconds. (64.95 fps)
  - Encoded data size: 2682028 bytes
 * Software Encoder (num_threads=8)
- - Processed 120 frames in 1.58 seconds. (75.85 fps)
+ - Processed 120 frames in 1.62 seconds. (74.29 fps)
  - Encoded data size: 2685086 bytes
 * Hardware Encoder
- - Processed 120 frames in 0.72 seconds. (167.06 fps)
+ - Processed 120 frames in 0.72 seconds. (166.27 fps)
  - Encoded data size: 1705900 bytes
 * Hardware Encoder (CUDA frames)
- - Processed 120 frames in 0.32 seconds. (370.95 fps)
+ - Processed 120 frames in 0.32 seconds. (371.12 fps)
  - Encoded data size: 1705900 bytes
 </pre></div>
 </div>
@@ -852,7 +852,7 @@ <h2>1080P<a class="headerlink" href="#id5" title="Permalink to this heading">¶<
 We did not try, but if you try that and find a better quality
 setting, feel free to let us know. ;)</p>
 <p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  23.360 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  23.441 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-nvenc-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/e3bf18fcd5249a6baebd826b65b5dbc8/nvenc_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">nvenc_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/online_asr_tutorial.html b/main/tutorials/online_asr_tutorial.html
index da5af18645..9741869771 100644
--- a/main/tutorials/online_asr_tutorial.html
+++ b/main/tutorials/online_asr_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Online ASR with Emformer RNN-T &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Online ASR with Emformer RNN-T &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -496,8 +496,8 @@ <h2>2. Preparation<a class="headerlink" href="#preparation" title="Permalink to
 <span class="kn">from</span> <span class="nn">torchaudio.io</span> <span class="kn">import</span> <span class="n">StreamReader</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 </section>
@@ -515,20 +515,43 @@ <h2>3. Construct the pipeline<a class="headerlink" href="#construct-the-pipeline
 </pre></div>
 </div>
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 /pytorch/audio/src/torchaudio/pipelines/rnnt_pipeline.py:248: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
   state_dict = torch.load(path)
 
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 </pre></div>
 </div>
 <p>Streaming inference works on input data with overlap.
@@ -2141,7 +2164,7 @@ <h2>5. Run stream inference<a class="headerlink" href="#run-stream-inference" ti
 </div>
 <br />
 <br /><p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  22.161 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  30.125 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-online-asr-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/f9f593098569966df0b815e29c13dd20/online_asr_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">online_asr_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/oscillator_tutorial.html b/main/tutorials/oscillator_tutorial.html
index 69a0b7f54e..7ed8fa1eba 100644
--- a/main/tutorials/oscillator_tutorial.html
+++ b/main/tutorials/oscillator_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Oscillator and ADSR envelope &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Oscillator and ADSR envelope &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -481,8 +481,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">try</span><span class="p">:</span>
@@ -521,7 +521,7 @@ <h2>Oscillator Bank<a class="headerlink" href="#oscillator-bank" title="Permalin
 of oscillation at given time. So integrating the instantaneous frequency gives
 the displacement of the phase of the oscillation, since the start.
 In discrete-time signal processing, integration becomes accumulation.
-In PyTorch, accumulation can be computed using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.cumsum.html#torch.cumsum" title="(in PyTorch v2.4)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cumsum()</span></code></a>.</p>
+In PyTorch, accumulation can be computed using <a class="reference external" href="https://pytorch.org/docs/stable/generated/torch.cumsum.html#torch.cumsum" title="(in PyTorch v2.5)"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.cumsum()</span></code></a>.</p>
 </div>
 <p><a class="reference internal" href="../generated/torchaudio.prototype.functional.oscillator_bank.html#torchaudio.prototype.functional.oscillator_bank" title="torchaudio.prototype.functional.oscillator_bank"><code class="xref py py-func docutils literal notranslate"><span class="pre">torchaudio.prototype.functional.oscillator_bank()</span></code></a> generates a bank of
 sinsuoidal waveforms from amplitude envelopes and instantaneous frequencies.</p>
@@ -824,7 +824,7 @@ <h2>References<a class="headerlink" href="#references" title="Permalink to this
 <li><p><a class="reference external" href="https://pages.mtu.edu/~suits/notefreq432.html">https://pages.mtu.edu/~suits/notefreq432.html</a></p></li>
 <li><p><a class="reference external" href="https://alijamieson.co.uk/2021/12/19/forgive-me-lord-for-i-have-synth-a-guide-to-subtractive-synthesis/">https://alijamieson.co.uk/2021/12/19/forgive-me-lord-for-i-have-synth-a-guide-to-subtractive-synthesis/</a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  2.999 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  3.034 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-oscillator-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/5479a6afc671384df1c364f38943e580/oscillator_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">oscillator_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/sg_execution_times.html b/main/tutorials/sg_execution_times.html
index a3477f182e..b630dd07f3 100644
--- a/main/tutorials/sg_execution_times.html
+++ b/main/tutorials/sg_execution_times.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Computation times &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Computation times &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -222,7 +222,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -456,115 +456,115 @@
               
   <section id="computation-times">
 <span id="sphx-glr-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">¶</a></h1>
-<p><strong>10:02.855</strong> total execution time for <strong>tutorials</strong> files:</p>
+<p><strong>09:20.635</strong> total execution time for <strong>tutorials</strong> files:</p>
 <table class="docutils align-default">
 <tbody>
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-<td><p>03:05.115</p></td>
+<td><p>02:14.079</p></td>
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+<td><p>01:48.784</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
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-<td><p>01:22.161</p></td>
+<td><p>01:30.125</p></td>
 <td><p>0.0 MB</p></td>
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+<td><p>00:30.686</p></td>
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+<td><p>00:27.152</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="nvenc_tutorial.html#sphx-glr-tutorials-nvenc-tutorial-py"><span class="std std-ref">Accelerated video encoding with NVENC</span></a> (<code class="docutils literal notranslate"><span class="pre">nvenc_tutorial.py</span></code>)</p></td>
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+<td><p>00:23.441</p></td>
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-<td><p>00:18.613</p></td>
+<td><p>00:18.846</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="streamreader_basic_tutorial.html#sphx-glr-tutorials-streamreader-basic-tutorial-py"><span class="std std-ref">StreamReader Basic Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">streamreader_basic_tutorial.py</span></code>)</p></td>
-<td><p>00:14.270</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_data_augmentation_tutorial.html#sphx-glr-tutorials-audio-data-augmentation-tutorial-py"><span class="std std-ref">Audio Data Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_data_augmentation_tutorial.py</span></code>)</p></td>
+<td><p>00:15.432</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="audio_data_augmentation_tutorial.html#sphx-glr-tutorials-audio-data-augmentation-tutorial-py"><span class="std std-ref">Audio Data Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_data_augmentation_tutorial.py</span></code>)</p></td>
-<td><p>00:14.156</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="streamreader_basic_tutorial.html#sphx-glr-tutorials-streamreader-basic-tutorial-py"><span class="std std-ref">StreamReader Basic Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">streamreader_basic_tutorial.py</span></code>)</p></td>
+<td><p>00:14.805</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="audio_feature_extractions_tutorial.html#sphx-glr-tutorials-audio-feature-extractions-tutorial-py"><span class="std std-ref">Audio Feature Extractions</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_extractions_tutorial.py</span></code>)</p></td>
-<td><p>00:09.870</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="squim_tutorial.html#sphx-glr-tutorials-squim-tutorial-py"><span class="std std-ref">Torchaudio-Squim: Non-intrusive Speech Assessment in TorchAudio</span></a> (<code class="docutils literal notranslate"><span class="pre">squim_tutorial.py</span></code>)</p></td>
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 <td><p>0.0 MB</p></td>
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-<td><p>00:09.681</p></td>
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-<tr class="row-even"><td><p><a class="reference internal" href="squim_tutorial.html#sphx-glr-tutorials-squim-tutorial-py"><span class="std std-ref">Torchaudio-Squim: Non-intrusive Speech Assessment in TorchAudio</span></a> (<code class="docutils literal notranslate"><span class="pre">squim_tutorial.py</span></code>)</p></td>
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+<tr class="row-even"><td><p><a class="reference internal" href="audio_feature_extractions_tutorial.html#sphx-glr-tutorials-audio-feature-extractions-tutorial-py"><span class="std std-ref">Audio Feature Extractions</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_extractions_tutorial.py</span></code>)</p></td>
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-<td><p>00:07.983</p></td>
+<td><p>00:08.372</p></td>
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-<tr class="row-even"><td><p><a class="reference internal" href="streamwriter_basic_tutorial.html#sphx-glr-tutorials-streamwriter-basic-tutorial-py"><span class="std std-ref">StreamWriter Basic Usage</span></a> (<code class="docutils literal notranslate"><span class="pre">streamwriter_basic_tutorial.py</span></code>)</p></td>
-<td><p>00:07.200</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="asr_inference_with_cuda_ctc_decoder_tutorial.html#sphx-glr-tutorials-asr-inference-with-cuda-ctc-decoder-tutorial-py"><span class="std std-ref">ASR Inference with CUDA CTC Decoder</span></a> (<code class="docutils literal notranslate"><span class="pre">asr_inference_with_cuda_ctc_decoder_tutorial.py</span></code>)</p></td>
+<td><p>00:07.457</p></td>
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-<tr class="row-odd"><td><p><a class="reference internal" href="filter_design_tutorial.html#sphx-glr-tutorials-filter-design-tutorial-py"><span class="std std-ref">Filter design tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">filter_design_tutorial.py</span></code>)</p></td>
-<td><p>00:05.182</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="streamwriter_basic_tutorial.html#sphx-glr-tutorials-streamwriter-basic-tutorial-py"><span class="std std-ref">StreamWriter Basic Usage</span></a> (<code class="docutils literal notranslate"><span class="pre">streamwriter_basic_tutorial.py</span></code>)</p></td>
+<td><p>00:07.344</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="speech_recognition_pipeline_tutorial.html#sphx-glr-tutorials-speech-recognition-pipeline-tutorial-py"><span class="std std-ref">Speech Recognition with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">speech_recognition_pipeline_tutorial.py</span></code>)</p></td>
-<td><p>00:05.149</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="filter_design_tutorial.html#sphx-glr-tutorials-filter-design-tutorial-py"><span class="std std-ref">Filter design tutorial</span></a> (<code class="docutils literal notranslate"><span class="pre">filter_design_tutorial.py</span></code>)</p></td>
+<td><p>00:05.238</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="additive_synthesis_tutorial.html#sphx-glr-tutorials-additive-synthesis-tutorial-py"><span class="std std-ref">Additive Synthesis</span></a> (<code class="docutils literal notranslate"><span class="pre">additive_synthesis_tutorial.py</span></code>)</p></td>
-<td><p>00:04.907</p></td>
+<td><p>00:04.997</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="forced_alignment_for_multilingual_data_tutorial.html#sphx-glr-tutorials-forced-alignment-for-multilingual-data-tutorial-py"><span class="std std-ref">Forced alignment for multilingual data</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_for_multilingual_data_tutorial.py</span></code>)</p></td>
-<td><p>00:03.606</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="speech_recognition_pipeline_tutorial.html#sphx-glr-tutorials-speech-recognition-pipeline-tutorial-py"><span class="std std-ref">Speech Recognition with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">speech_recognition_pipeline_tutorial.py</span></code>)</p></td>
+<td><p>00:04.929</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="audio_resampling_tutorial.html#sphx-glr-tutorials-audio-resampling-tutorial-py"><span class="std std-ref">Audio Resampling</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_resampling_tutorial.py</span></code>)</p></td>
-<td><p>00:03.348</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="forced_alignment_for_multilingual_data_tutorial.html#sphx-glr-tutorials-forced-alignment-for-multilingual-data-tutorial-py"><span class="std std-ref">Forced alignment for multilingual data</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_for_multilingual_data_tutorial.py</span></code>)</p></td>
+<td><p>00:03.886</p></td>
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 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="effector_tutorial.html#sphx-glr-tutorials-effector-tutorial-py"><span class="std std-ref">AudioEffector Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">effector_tutorial.py</span></code>)</p></td>
-<td><p>00:03.032</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_resampling_tutorial.html#sphx-glr-tutorials-audio-resampling-tutorial-py"><span class="std std-ref">Audio Resampling</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_resampling_tutorial.py</span></code>)</p></td>
+<td><p>00:03.359</p></td>
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 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="oscillator_tutorial.html#sphx-glr-tutorials-oscillator-tutorial-py"><span class="std std-ref">Oscillator and ADSR envelope</span></a> (<code class="docutils literal notranslate"><span class="pre">oscillator_tutorial.py</span></code>)</p></td>
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+<td><p>00:03.034</p></td>
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 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="asr_inference_with_cuda_ctc_decoder_tutorial.html#sphx-glr-tutorials-asr-inference-with-cuda-ctc-decoder-tutorial-py"><span class="std std-ref">ASR Inference with CUDA CTC Decoder</span></a> (<code class="docutils literal notranslate"><span class="pre">asr_inference_with_cuda_ctc_decoder_tutorial.py</span></code>)</p></td>
-<td><p>00:02.783</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="effector_tutorial.html#sphx-glr-tutorials-effector-tutorial-py"><span class="std std-ref">AudioEffector Usages</span></a> (<code class="docutils literal notranslate"><span class="pre">effector_tutorial.py</span></code>)</p></td>
+<td><p>00:03.031</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="audio_feature_augmentation_tutorial.html#sphx-glr-tutorials-audio-feature-augmentation-tutorial-py"><span class="std std-ref">Audio Feature Augmentation</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_feature_augmentation_tutorial.py</span></code>)</p></td>
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+<td><p>00:02.219</p></td>
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 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="audio_datasets_tutorial.html#sphx-glr-tutorials-audio-datasets-tutorial-py"><span class="std std-ref">Audio Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_datasets_tutorial.py</span></code>)</p></td>
-<td><p>00:01.954</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="audio_io_tutorial.html#sphx-glr-tutorials-audio-io-tutorial-py"><span class="std std-ref">Audio I/O</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_io_tutorial.py</span></code>)</p></td>
+<td><p>00:02.054</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="mvdr_tutorial.html#sphx-glr-tutorials-mvdr-tutorial-py"><span class="std std-ref">Speech Enhancement with MVDR Beamforming</span></a> (<code class="docutils literal notranslate"><span class="pre">mvdr_tutorial.py</span></code>)</p></td>
-<td><p>00:01.883</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="audio_datasets_tutorial.html#sphx-glr-tutorials-audio-datasets-tutorial-py"><span class="std std-ref">Audio Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_datasets_tutorial.py</span></code>)</p></td>
+<td><p>00:01.922</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="forced_alignment_tutorial.html#sphx-glr-tutorials-forced-alignment-tutorial-py"><span class="std std-ref">Forced Alignment with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_tutorial.py</span></code>)</p></td>
-<td><p>00:01.729</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="mvdr_tutorial.html#sphx-glr-tutorials-mvdr-tutorial-py"><span class="std std-ref">Speech Enhancement with MVDR Beamforming</span></a> (<code class="docutils literal notranslate"><span class="pre">mvdr_tutorial.py</span></code>)</p></td>
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 <td><p>0.0 MB</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="audio_io_tutorial.html#sphx-glr-tutorials-audio-io-tutorial-py"><span class="std std-ref">Audio I/O</span></a> (<code class="docutils literal notranslate"><span class="pre">audio_io_tutorial.py</span></code>)</p></td>
-<td><p>00:01.624</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="forced_alignment_tutorial.html#sphx-glr-tutorials-forced-alignment-tutorial-py"><span class="std std-ref">Forced Alignment with Wav2Vec2</span></a> (<code class="docutils literal notranslate"><span class="pre">forced_alignment_tutorial.py</span></code>)</p></td>
+<td><p>00:01.737</p></td>
 <td><p>0.0 MB</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="device_asr.html#sphx-glr-tutorials-device-asr-py"><span class="std std-ref">Device ASR with Emformer RNN-T</span></a> (<code class="docutils literal notranslate"><span class="pre">device_asr.py</span></code>)</p></td>
diff --git a/main/tutorials/speech_recognition_pipeline_tutorial.html b/main/tutorials/speech_recognition_pipeline_tutorial.html
index d276190937..498d40e591 100644
--- a/main/tutorials/speech_recognition_pipeline_tutorial.html
+++ b/main/tutorials/speech_recognition_pipeline_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Speech Recognition with Wav2Vec2 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Speech Recognition with Wav2Vec2 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -494,8 +494,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <span class="nb">print</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensor_attributes.html#torch.device" title="torch.device" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 cuda
 </pre></div>
 </div>
@@ -507,7 +507,7 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 </pre></div>
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@@ -550,18 +550,16 @@ <h2>Creating a pipeline<a class="headerlink" href="#creating-a-pipeline" title="
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Downloading: &quot;https://download.pytorch.org/torchaudio/models/wav2vec2_fairseq_base_ls960_asr_ls960.pth&quot; to /root/.cache/torch/hub/checkpoints/wav2vec2_fairseq_base_ls960_asr_ls960.pth
 
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 &lt;class &#39;torchaudio.models.wav2vec2.model.Wav2Vec2Model&#39;&gt;
 </pre></div>
 </div>
@@ -732,7 +730,7 @@ <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this
 <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">emission</span></a> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">waveforms</span><span class="p">,</span> <span class="o">...</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  5.149 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  4.929 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-speech-recognition-pipeline-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/a0b5016bbf34fce4ac5549f4075dd10f/speech_recognition_pipeline_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">speech_recognition_pipeline_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/squim_tutorial.html b/main/tutorials/squim_tutorial.html
index fa4ed526e2..3a26742d04 100644
--- a/main/tutorials/squim_tutorial.html
+++ b/main/tutorials/squim_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Torchaudio-Squim: Non-intrusive Speech Assessment in TorchAudio &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Torchaudio-Squim: Non-intrusive Speech Assessment in TorchAudio &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -505,8 +505,8 @@ <h2>1. Overview<a class="headerlink" href="#overview" title="Permalink to this h
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 </section>
@@ -588,7 +588,7 @@ <h2>3. Load Speech and Noise Sample<a class="headerlink" href="#load-speech-and-
 </pre></div>
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">WAVEFORM_SPEECH</span></a><span class="p">,</span> <a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SAMPLE_RATE_SPEECH</span></a> <span class="o">=</span> <span class="n">torchaudio</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">SAMPLE_SPEECH</span></a><span class="p">)</span>
@@ -698,10 +698,9 @@ <h2>6. Predict Objective Metrics<a class="headerlink" href="#predict-objective-m
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 <p>Compare model outputs with ground truths for distorted speech with 20dB
@@ -772,16 +771,50 @@ <h2>7. Predict Mean Opinion Scores (Subjective) Metric<a class="headerlink" href
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 </pre></div>
 </div>
 <p>Load a non-matching reference (NMR)</p>
@@ -833,7 +866,7 @@ <h2>8. Comparison with ground truths and baselines<a class="headerlink" href="#c
 where y axis represents the estimated MOS metric score, and x axis
 represents the corresponding ground truth.</p>
 <a class="reference internal image-reference" href="https://download.pytorch.org/torchaudio/tutorial-assets/subjective_plot.png"><img alt="https://download.pytorch.org/torchaudio/tutorial-assets/subjective_plot.png" class="align-center" src="https://download.pytorch.org/torchaudio/tutorial-assets/subjective_plot.png" style="width: 500px;" /></a>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  8.261 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  14.789 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-squim-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/c943e35bc7cad6e8d9b1df2a7034a8fc/squim_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">squim_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/streamreader_advanced_tutorial.html b/main/tutorials/streamreader_advanced_tutorial.html
index d4ec420801..840bedb88c 100644
--- a/main/tutorials/streamreader_advanced_tutorial.html
+++ b/main/tutorials/streamreader_advanced_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamReader Advanced Usages &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>StreamReader Advanced Usages &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -487,8 +487,8 @@
 <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">VIDEO_URL</span></a> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">base_url</span></a><span class="si">}</span><span class="s2">/stream-api/NASAs_Most_Scientifically_Complex_Space_Observatory_Requires_Precision-MP4.mp4&quot;</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="audio-video-device-input">
@@ -900,7 +900,7 @@ <h4>Pixel manipulation<a class="headerlink" href="#pixel-manipulation" title="Pe
 </pre></div>
 </div>
 <p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  18.613 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  18.846 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streamreader-advanced-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/21502c17878277ad648c064df573f05e/streamreader_advanced_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streamreader_advanced_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/streamreader_basic_tutorial.html b/main/tutorials/streamreader_basic_tutorial.html
index 3505ae94b3..fb700f6fcb 100644
--- a/main/tutorials/streamreader_basic_tutorial.html
+++ b/main/tutorials/streamreader_basic_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamReader Basic Usages &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>StreamReader Basic Usages &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -518,8 +518,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">VIDEO_URL</span></a> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">base_url</span></a><span class="si">}</span><span class="s2">/stream-api/NASAs_Most_Scientifically_Complex_Space_Observatory_Requires_Precision-MP4.mp4&quot;</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 </section>
@@ -993,7 +993,7 @@ <h3>Streaming<a class="headerlink" href="#id2" title="Permalink to this heading"
 </pre></div>
 </div>
 <img src="../_images/sphx_glr_streamreader_basic_tutorial_001.png" srcset="../_images/sphx_glr_streamreader_basic_tutorial_001.png" alt="Iteration 0, Iteration 1, Iteration 2" class = "sphx-glr-single-img"/><p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  14.270 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  14.805 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streamreader-basic-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/dc81b404e96c6cb650e0c5a8115bc1f1/streamreader_basic_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streamreader_basic_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/streamwriter_advanced.html b/main/tutorials/streamwriter_advanced.html
index b08c8ce76a..044779ef2f 100644
--- a/main/tutorials/streamwriter_advanced.html
+++ b/main/tutorials/streamwriter_advanced.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamWriter Advanced Usage &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>StreamWriter Advanced Usage &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/main/tutorials/streamwriter_basic_tutorial.html b/main/tutorials/streamwriter_basic_tutorial.html
index 96c745def9..31b1662946 100644
--- a/main/tutorials/streamwriter_basic_tutorial.html
+++ b/main/tutorials/streamwriter_basic_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>StreamWriter Basic Usage &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>StreamWriter Basic Usage &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -500,8 +500,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;  </span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">k</span></a><span class="si">}</span><span class="s2">: </span><span class="si">{</span><a href="https://docs.python.org/3/library/stdtypes.html#tuple" title="builtins.tuple" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">v</span></a><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 FFmpeg library versions
   libavcodec: (60, 3, 100)
   libavdevice: (60, 1, 100)
@@ -957,7 +957,7 @@ <h3>Write Video<a class="headerlink" href="#write-video" title="Permalink to thi
 </div>
 <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>/pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: MatplotlibDeprecationWarning: The tostring_rgb function was deprecated in Matplotlib 3.8 and will be removed two minor releases later. Use buffer_rgba instead.
   frame = torch.frombuffer(fig.canvas.tostring_rgb(), dtype=torch.uint8)
-/pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1729064769612/work/torch/csrc/utils/tensor_new.cpp:1536.)
+/pytorch/audio/examples/tutorials/streamwriter_basic_tutorial.py:566: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /opt/conda/conda-bld/pytorch_1730619886239/work/torch/csrc/utils/tensor_new.cpp:1561.)
   frame = torch.frombuffer(fig.canvas.tostring_rgb(), dtype=torch.uint8)
 </pre></div>
 </div>
@@ -970,7 +970,7 @@ <h3>Result<a class="headerlink" href="#result" title="Permalink to this heading"
 </div>
 <div class="output_subarea output_html rendered_html output_result">
 <video controls  >
- <source 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type="video/mp4">
  Your browser does not support the video tag.
  </video>
 </div>
@@ -979,7 +979,7 @@ <h3>Result<a class="headerlink" href="#result" title="Permalink to this heading"
 observed that the sound of “s” (curio<strong>si</strong>ty, be<strong>si</strong>des, thi<strong>s</strong>) has
 more energy allocated on higher frequency side (right side of the video).</p>
 <p>Tag: <a class="reference internal" href="../io.html#module-torchaudio.io" title="torchaudio.io"><code class="xref py py-obj docutils literal notranslate"><span class="pre">torchaudio.io</span></code></a></p>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.200 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.344 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-streamwriter-basic-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/d8d57badf5e878c5beb8d32b0aefc7dd/streamwriter_basic_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">streamwriter_basic_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/subtractive_synthesis_tutorial.html b/main/tutorials/subtractive_synthesis_tutorial.html
index 9caae291a4..dfb6398ee9 100644
--- a/main/tutorials/subtractive_synthesis_tutorial.html
+++ b/main/tutorials/subtractive_synthesis_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Subtractive synthesis &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Subtractive synthesis &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -482,8 +482,8 @@
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">torchaudio</span><span class="o">.</span><span class="n">__version__</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 </pre></div>
 </div>
 <section id="overview">
@@ -735,7 +735,7 @@ <h2>References<a class="headerlink" href="#references" title="Permalink to this
 <li><p><a class="reference external" href="https://computermusicresource.com/Simple.bell.tutorial.html">https://computermusicresource.com/Simple.bell.tutorial.html</a></p></li>
 <li><p><a class="reference external" href="https://computermusicresource.com/Definitions/additive.synthesis.html">https://computermusicresource.com/Definitions/additive.synthesis.html</a></p></li>
 </ul>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  7.983 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes  8.372 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-subtractive-synthesis-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/d3b39e207bd40f4cddd5c53e3fdae429/subtractive_synthesis_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">subtractive_synthesis_tutorial.py</span></code></a></p>
diff --git a/main/tutorials/tacotron2_pipeline_tutorial.html b/main/tutorials/tacotron2_pipeline_tutorial.html
index f1935c0780..27c717bef6 100644
--- a/main/tutorials/tacotron2_pipeline_tutorial.html
+++ b/main/tutorials/tacotron2_pipeline_tutorial.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>Text-to-Speech with Tacotron2 &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>Text-to-Speech with Tacotron2 &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
@@ -513,8 +513,8 @@ <h2>Preparation<a class="headerlink" href="#preparation" title="Permalink to thi
 <span class="nb">print</span><span class="p">(</span><a href="https://docs.python.org/3/library/stdtypes.html#str" title="builtins.str" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">device</span></a><span class="p">)</span>
 </pre></div>
 </div>
-<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241016
-2.5.0.dev20241017
+<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>2.6.0.dev20241103
+2.5.0.dev20241104
 cuda
 </pre></div>
 </div>
@@ -610,25 +610,23 @@ <h3>Phoneme-based encoding<a class="headerlink" href="#phoneme-based-encoding" t
 </pre></div>
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 /pytorch/audio/ci_env/lib/python3.10/site-packages/dp/model/model.py:306: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don&#39;t have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
   checkpoint = torch.load(checkpoint_path, map_location=device)
 /pytorch/audio/ci_env/lib/python3.10/site-packages/torch/nn/modules/transformer.py:375: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
@@ -684,10 +682,16 @@ <h2>Spectrogram Generation<a class="headerlink" href="#spectrogram-generation" t
 Downloading: &quot;https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_wavernn_ljspeech.pth
 
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 </pre></div>
 </div>
 <p>Note that <code class="docutils literal notranslate"><span class="pre">Tacotron2.infer</span></code> method perfoms multinomial sampling,
@@ -743,8 +747,7 @@ <h3>WaveRNN Vocoder<a class="headerlink" href="#wavernn-vocoder" title="Permalin
 Downloading: &quot;https://download.pytorch.org/torchaudio/models/wavernn_10k_epochs_8bits_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/wavernn_10k_epochs_8bits_ljspeech.pth
 
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">plot</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveforms</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spec</span></a><span class="p">,</span> <span class="n">sample_rate</span><span class="p">):</span>
@@ -798,21 +801,10 @@ <h3>Griffin-Lim Vocoder<a class="headerlink" href="#griffin-lim-vocoder" title="
 Downloading: &quot;https://download.pytorch.org/torchaudio/models/tacotron2_english_phonemes_1500_epochs_ljspeech.pth&quot; to /root/.cache/torch/hub/checkpoints/tacotron2_english_phonemes_1500_epochs_ljspeech.pth
 
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 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">plot</span><span class="p">(</span><a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">waveforms</span></a><span class="p">,</span> <a href="https://pytorch.org/docs/stable/tensors.html#torch.Tensor" title="torch.Tensor" class="sphx-glr-backref-module-torch sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">spec</span></a><span class="p">,</span> <span class="n">vocoder</span><span class="o">.</span><span class="n">sample_rate</span><span class="p">)</span>
@@ -875,13 +867,13 @@ <h3>Waveglow Vocoder<a class="headerlink" href="#waveglow-vocoder" title="Permal
 <img src="../_images/sphx_glr_tacotron2_pipeline_tutorial_005.png" srcset="../_images/sphx_glr_tacotron2_pipeline_tutorial_005.png" alt="tacotron2 pipeline tutorial" class = "sphx-glr-single-img"/><div class="output_subarea output_html rendered_html output_result">
 
                 <audio  controls="controls" >
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qH54t8yx5+197aptTO3ubYXtVe6kr9dym/amuel8Zf34vljAgkN1BpcJlMriC4AM/Y68kHMRmpFLkEdOzkyBSbXF+8Lqf1s7kfcyMqbvXC2jrLfr66sn6xGsdG608hq0inZR99h5nHxdPvKAcwGagd4C0gNDBAfEWQQsw7PChIJRgeaAzz+T/Wq7+P6wAQ6DiYN3gzHGqo1x00YWChV2FJ4WAtdHWPdVrtDey0TGBIQ1gJ98mndmMgJwjG9BbgRtMKxCrbvvCDD9Muo0u3a7uXj76z6wv/cA+cOQht6JwkuSC/pM3A5Iz+iQ5FBXDn3LgMknhsdEWcCtPCQ30HUDcpswZm5pLQ+tPW1ZrkKvWnDOs1h11LghOcN7W70uftDBaoJkQmlB7cFjwrGDAMMIgak/mH9gP1U+Tr3Ee6x+VwJmxCAGjcRmCEXO1RRJGGUVYBRF1jxWldmg1j4P1Ut9BIiD1UEXPJ13kbE3LYktB2zjrVYsg6vXrZPvNnLKdcb3svmvewC+NcF+w3sF1Me2CTEMNc1wjlWPiRBJkQ2QZQ4aDB2J5cfaxRuBd/0zeQ71+zO5cbXvnK4Z7bauEi9BsMexjXON9hq4DrpbuzG8ov6kwChBggHAQVGBO8ERAfbB7ABWvuS9Ur2HPEC8GfsUPlOB08JPRCfEoIrtEkHWfJaX1ddWPlnaXBMbs1YgDz4LfAiVRqMB2zuQda5xU+7aLd/svWt9KhMqW6xzbupxunMMtZm4MzqdfbLAVQKTxP4GBYjqS2aNMg6cjt/QaZFQUN3PAQz3CpyJJEZZgtQ+ozsROFZ1mzOVsbkvrS5rrnsvD/BM8MByN7O69jN4rDnSe1i9Jf5pv7oANkA8wFR/1gAHwDh/ID4NvSB8JPumehu7sT7HgSJDNUFNxCrMXJLdVuHWAlPcl6ebFR3vHHQUw9ABzP9KvojTQ1X7xzYc8afxN/BDLV0qs+kwac7tG671sBwyD3OLdov6EL0SwHBBhoNshjQIhcvaTa3Oec/pkF9Qg1DJT3LOHov/SMjGdMLOgAJ9RToF9zk0FnJF8bywazAWb8ywCHEusk+0QXYTtz24jzqRfJR9676RP16AKgAUwEjAAH/i/zq+tj3OfIU7MXgQ/PwADwHCAnwAVMTOjg9UmRe1lNrU2pldHP/f/JuKVanREc47zDQJ/YN0PKO2VnMfMkAwRK2vKqBo2imQq0ytOe79L7BxJvPZdyF6mP0gvrJBeURSxuFJZQr3zPQPf5AD0IPQLk7LDp9NJIrdx8DDncB3ffs7yPmw9c0zVzJ4MgEyujHxcRBxiPLUtE72G/eoOEF5rbqp/IY+bX81vzr+1f86P0q/VP6Yfhv9X3zL+8E7KHqqv5DCN0Pkw9tDzYr3UfmXaRdDVVAXKZspnRedR5bI0ebOj4tCSnEE7/2L+CYylTGcML+tkmwMKYnp5WtRrKjumrAAMc00ZPYHuJJ7bT3fQOXDqAWqx2PJhwxXDoQQB0+yzo0ORo4vDWCKw0eFBCEBZL/LPgs7Y3geNdp0vrR+s9qzArKOMiDzcvTctns27TdtOK86fTx//Vl+H33gPrH/Lv+Ff0e+XXzo/EJ7wHs9uoH5iz7TQI7B5QPvRahNMdQtFmmXC5bP2aadkR0GW6HWL1GDzwjMRMkKA8q9bze7dDvx6XDn7v2sYus0aoir9C2Zr06wdrE/Mm+1OjeeOi98Lv4FwLyC0cVXB7dKAAvgTTBNjM3bzfzMxUwrCpKIicZfgx+BAP9TPTO6obgGNyc2Q7W9dLkz9vQI9Rf1abZntvH3UDjs+ec7ZHwe/Cd8VX1w/aW9uzxi+8k7E/peOn94ozoW/j7/G4EmwvVEg0z30d2VQdbIlrfZi5zpnW5b5devEqnRt04ly/eHZQAt/CF34rWoNEcxVe/BLoCs0e5ObesuvXAtcCYxgbJyM8L22PjsOrg9c77xQYEEvIZpiVoK5ku1TFEMmw1QDO7LpcpJiHnGjwSTArDAXT3ke1v5TTfY9sB2O/UidO+1J/WvtfY28/fUOQh6KfoB+pK7vLwefKV8DXxZPCB7onrzep75ELmYe+L8hkCVQDAA5wUGy3fQ/RKLUywUaxfOW+ac6dogF1ZT1ZJSUQ6NrUmxQ0w/BHzTuc34MHSncW4vRO7yrrSul64zrequXLAzMa+yrrPKNhK4T7q2PVi/moI0BDGGQ8k7ikWMLgwxi+zMOIvgi66J1kd3xMmC9cF8v/H9ezsgeO/3ujdzNxS3BzagNdq2OTbK9/K4Xng1OEb5efnneun6pTpr+nR657qE+zK5QzkdN/H7Vj9sPx1CfEDWxioNLtCPU1FT/xVTGc3bSdxfmqfXTVXvUw5RQg40iNyEu4D6fQU6m/dyNRWzajGCsAYvpW7I72zvJW8FcKyxa7J085A0rrZUuUS7WL13/oEArsNcxfJHnkkhCW6J58pBCzcKxInViC6GZwUExBaCpgBB/qU8vTs/+pF6MjlYeEh353ftN/B37Lfqt/m35ng9OG04ZzhneNI5nfoU+cd5oHkD+aE6HDtuPNQ/S8G+wlcFaIlazlzRiJMUlISWuZkHWlaZv5bUlRFT/tFJz63LtIcUA2RAKX4T/CB5QXaPtC3y2jJOcfBw9jCTMGFxe7Fm8VUybbMutOH2yzgMeRo7Ej0/v3FBoQNfBIyF9MbtCH5JI4mISVuIV8fpxyzGXoUJA+oB6EAevu6+eb1HPFm7YDpeOcQ5uHj5eGC4Szg798232Dfit414EvhguFt4p7is+Lj4tfjo+Iz6c31UAAuBP8LlRZfKJw+oklYTCZQo1M4YWpmMmIbWbxHaUcEQTw4wSzVF7IKYAM6+gDyu+jP3ALWY9EW0LTO/8gJxzzGhccWy+zI4sn0zzPUGdpz3vHirurz8AH5KQJVCSkO2BEnFigcNCBvILYfKh4eHdAaJhbSE7EPWAtDBu4Bi/6D+mb2WPLQ7/Xt2+q05rXj5uK24MPgtd5q3HLcid2F3oje990E3KXcE+AK59nqW/Dl9UQBeg7bGP0jwCsEOFNEt0rZUZxRuFO0VD5OCE7FRQc93DXVKvchfhetDJoGiP7d9Lvs8OZf40HgotlD1HfSZ9JU06XQf85pzmHQxNQL2f/bsN7I44XqlPG5+Fz+ZwTsCQIOHxPQFAYWXBfIGBgZyBYTFHkQwA2zDFYLPQaBAgH+dfpF+tP2DfT+7wvrOupS5kDluuR44rTh1t7N3Rrf0t9N3tXe6t1O4zjpC++h8V73xAGkDpIcVyP3Jx0wOTlERYlJBEnYR3ZCF0XSQe48tTeZLoYmeyDQGNESpglGAvr9APbY8DvqYOKq36bcitoJ2VPTmNJM0bjRbtYv2JDYfNyE3tfkmutZ76D0sveg/EwBzQOYB7sKMAy4DjkOmw5FD88OFQ9GDnYK6AbLBSUDkQJQ/y384vmG9wz28/PM8BHw0e487STspugo5nfnaObH5LHj5N6/4uXoluyW8Bb0KPjBAywRyhpXIp4kBS3FNcw870GgQNw/Ez+vPMg8MjbOMO4qzCEVHjcYgBFZCnQCsPze+Kfys+566I7ie+Gy3VHcN9ya1yfWUtYG2dLdwt6T37PgPuQO67vvZvHS9N721voW/z0CRQSOBTEGVgcHCjIKeAmhB2UFFwWoBPADxAJR/yb+fPx9+xH7afgw+N/16PJN8+7w8++47hPsFuvy6YzonuYp41DoI+0571L2i/YkANwJbRF4Go8hjieeLZ0xAjY5Ny05WztCN7k1GTOOLVUr0ifmIe8bJBVTELYJRAasANb7SPcy8TLsH+rN6KnnZeRN4CXfhd1r35rfvN+a3zzeQeD24+XnnOs57APuefI79qv61fuh/D7/m/9ZAtQEowSMBGMCcQH9AogE2QNFAL382fwD/kP/MP17+TT5mfra+zD6mffv85PywPAg8JHsBupX5U/osOoK7ufybfAS+fwBqAkyEfoTaxmZIp0m1iyvKzct8jHSMF0wYy5qLB8sXigQJOIgFBtpGe4SXQ1sCykF1gBA/E/29/Ra8dnutut85oHlR+XI5dvkieES4J7gu+Mb5/zm0+jv6e7rtvHJ9Pr1UPfM9nr5g/xr/Un/w/28/g//S/46APEBoAD6AML/G/9J//P+5P9B/kP8n/u8+un6Tfse+Jz1w/P58l/yxvCa7Z3tMOy88Sb0svLj+Ej8/gPeDKAPORL7FtAbqiS0JjcnpCa7J9Iqoio2KIslAyPPIFYfKBrlFgcUWRA3Dk8LqQaaBB4B8/7P/Ef4uPWj8hnwo+7w64rpFeiC5FrkseSR44fkZOXc5bfoKurX7MXvt/GT81/1qvfM+c/6hfsz/Uz9TP5p/iL/NABNAAoA//9PACEAqwBVAC8B+v86/lH9+Psu+/n56fep9NnyDvIl8lfx9+7g7S3vcfTY9vr0mPcB/SEDLgq4C4sMKhG6FykdRB/0HxggrCBeIpYjHSMHIrsfiBydG4MbPxqVGcAVqhFJEEEOSg5PC1sGzwFJ/j39GPv/9q7yj+5069zq5Og55x3lYePI5LLlu+YM6C/oheoU7V3uofDm8DPySfSX9QL37Pf29+L5JPsj/ZD+Xf6kAFMBNwIBBL8DDATPA54ChQJLAd7/v/7Q+u74Ifgu9//2YvRe8WbxnvJ99oz3dfWD91/5nP4VBGcF+gfcCsMNFhPzFUAYaRpgGt8cgR1gHYseAx7fHKAbGRkCGdIYcRc1FdwSExGwD9cNWwsFCJEEeAJA/9b79/hT9bfyvvAu7pzs3Opk6inqO+ku6lPq1eq369nrUO2a7nvvCvDT7yXxbPMZ9cn1l/Uo9jD51/om/Ez9vP3q/0QBDwJTAl0ChgLJAUICdQLiABr/Av1Y/Hz8E/xb+Xj2Cva69eH1bfa+9XP0BPYp9+n5g/wc/mkBnQRaCSEOKBDAE+sWpBg6GyAbjxuWHO8bdRuZGfgYrxmMGCUY5RaXFBgUKRLWD9sOEwx/CUQGxgL8AM39yvqu9yX1LvPX8JnuM+037Jbsxey+67LrYuuI6wLtre2l7RPtae2/7izwlPFU8x70AvWP9rj42/uR/UT9Ev2M//sBdwLkAbABOQJZAdIA4wBq/4X+rP3E+z77ZPkE+M/3rPap9b3yrvED9FP19PYb9vT1kvx4AqcFwggUCvoNmhQcGMAYoRjCGSEchhxLHdIcfxsLG4gaVhpCGmwY7BXHE34RZxAnDrUKxQgYBuoDeQEh/h386PnV9wv2OfNX8BLvjO7X7kLu9uwD7MPru+0m7zTvgu/O79LwafLt8kfzL/RD9YD1K/Z69/b49/l0+5D8j/1Y/uD+IACgANwAswDL/8//TAA4/xb+oPwA+yn6Nvhb9/n1RfQx8wHxA/GA9K31YPaP9c72vf3FAoAFXweMCPwMFhKpFD0XaRjDGMUZBBsRHd0dTB1sG9gZRxoYGmoYGRaSE/sRTRF2D5MMHAonCFMGGAQnASn97fki+AD31vRe8T3vne6r7kHvUu7j7Xjuj+/08Hjx5vHj8qPy8vK083TzIfSj9IX0jPV29qn3JPnj+aH73vzA/N79wf3E/loAe/5C/fb8J/22/Wv8EvvP+UD5jfl5+aP4IPfQ9IL0HPj6+fn33/Wp9jX7pv/9AAsB5gH0BOkIvAwgEOsQrxEzE7gVoBkBHD4bYxlkGU8baBwbHEAZNhZdFTQVpxPLEM4NYgu4CXQHOwXWAoYA4v6j/Bj6IPej9ZH0gfK78NDvBe8P777uAu/779bv3u+N73XwhfJS8qrxuvEn8v3zWfXb9W32tfYL+Ej5J/ph+lX6xPqP+1T8yvwy/Lj7E/yt/C79dPxs+3H66fmc+Xf40/el93H2y/Ui9wf4bfo/++b6evv0/QoEWQj+CAwIGQk0DyEVLRjUFxMWTRlPHGMeOyCBHngdgBybG4IcHhs0GG8VdhHjDzoNPQpQCD4EsQB4/gz8yvoz+OP1H/VQ8x/ylPDV7/HwlPC979zv2u/s7y/wkvAi8RbxUvDG77LwN/Kh8wb0AvT09Nf2yPjw+e35G/qB+nT7cvxJ/LP7xfsA/Ib8tfxy/ET8BPxf+0v68/gV+ZP4RfZs9B7y+POP+Pj21fUA9Tv4wv8CAt4DsAOuBTgNwxCDFYkWpRbjHPEcex4nItMhzCLKII4eiR4WHWkcqxh4E5gSmRB8DdULRwjSBZIEuAG3/1D9GvwU+6r3tvXN9Hjz9/Od8rTwafBR7z7vJe+37hXvl+1x7XruMu++8DXxrvDu8YTzb/Vz9lj2Qvfw9xf5Zfqh+iT72ftr+3f7d/yR/OP7T/rS+TX6wPls+c72Q/RH9bX1hfTb8wPxUPIE9OH2YPhB9Uj7i/3WACkHHwfRDHcQxRL3GJIajCAMIlgglyPyI9oliCYiIREfvR3sHPYbhBcsE/8QMA7yDMELqAdYBX0Bof+A/1P9yftw9yz0JvTg8Z3wU+937B3tUesX6nvrLusu7U3t3+xu7m7usfAB9Fzzw/MX9cP0Affq90j4r/mh+WX5rvlf+lb9W/zR+k/7jPlo+s35F/jF90D2UvSH8z7zcvTw84ryivDY8W71sfec+Kj2zvjf/J4BIAcZCC4J3A4ZE5kZox2sHiMg1yHxJMomFiaUJZwj6R+ZHxEerR0pHJYWpxM8EpMR8BC8C5kHcAZkAggCHv+g+SX4nPSl8m3wTuyD7aTrA+kW6VbmA+mg6/3pU+vY6+rshPBF8CXy7/Nq88L1K/Xo9fP3nvgp+wH78/e1+bv6If3M/gr8nPlK+Z369/sY+6v4qPZv9DL1DfdL9UDzgfH/7ArwZPMe9G7zIvGa9bz8HQATBZ4FMwhWEq4UZBloHQgediPlI6IjOijTJWsnsCTnHqMhHSFBH5AcfBaCFtAW/xGYDxYKiQj+B6UBof/p+mL33Pay8nfxXu/96rXquunY6Y7qreiS6UXq3+mC7XjuCvDC8N/vHvNS9Nj10/dw9l/4zveS90L6VfvS/LH77Pi1+DT7oPxr/U34y/YO9kf5u/uu9gfzz/DT8fnzAPL876brtOv/7zrzcPSy9FD4wvv9AfwEBAzXEWcYthevGSof7SmuK4QniCTmI9wswiuJJ6gg2hyIHzgfoBoGGc8TcRGoD1MK7QhhBCkBkv55+Ib2B/Q98UDw1+yL6pbqvOcp6R/oZudD6mLpg+s47PHsUvLx81PzAPRS8wH4dfmc+ED6avcx+1r9EvwI/t36yvxS/pD9h/1I++D4yPrq97b2vfVE8xbzNu+o7S7vGe7k7sPrJ+dl7J/sTvZV+BT2xPhe+xQFhQ8wEtYTMxWIFv8igyXmJ5QnNiNfJrgo7SUGKG8i7R8JHp8YRxuOGIIUvRM9Dq0K9QoBBfgFlQDJ/X78MvZs9cDx7+7U7lbshuhW6YLnLOnR6S/piO0t7ePv8fCd8MX0z/We9sb3/vQL9zj5Svpl+674Pfrm+4r9o/6V/f784/xT/C/9TfxW+rn3mvXi9e/1BfXD8UTvyO/78EXyK++e6xTrjO1B9O/2gvW/9xv7bAHPC4QRLha8F+oX/h6zJRYs1ywpJa8kYyX/J/IpCyQsH6sc5BmfG8wZPRZtFtcP+g6/DAALAAo5BC8Aafx9+C73MvNS70HufOkW6ZPnZOeO53vnBun96fHpzOuy7uDw+vFQ777vbfEm8wPz4vFF8vH06vV0+Jv4+/mM/H799P/T/8L+nv6B/PL9wvwB+sb42fRc85vxSPFI78TsD+tv7bvs6+t252DpZ+zz9cD5HfQP9nT7lww9EjcVyBMRF1khaCnwKoErByqGLMsrBir2LJAoLikZJJEhTh8oHU8c/xk2FxITlQ4PCu0HOgTU/0z6ZfYH8Jns8OgU5xDmhuLp4ZjfpeBp4r7jn+SD5nfnvuhd6o7s/O628FHw9fEZ9Aj4gPyP+2j8EP//AjgGqAY8Bq4EKARCBJ4DogEpAfj8mPiK9+nzyvNe8LDsWucy6szjX+QS3kje++u66jrvkedp6gUCHxA7EwcT+A0nICQpBS/BMGMqbjIeMEUrnzCzMZAzMy85JF4mZCUWKX0jKRkjFdsQWAy4BsH9nPjO9Dbs5ulp4cjfvuDX3g3dN9tk3EHg7OGy4r/k/+XM6sTpkenc7WLyXPaz9j/1DPvQ/UQIvQmYBikIcAUPCoIMsgl9Ayr+rP7XAer9IPti9JrvVfNf8QTuhOuN5+zn1uKb4QzlOt4J4c/YdOMG63bvre2v52X66xENIF8lIx4GINU4Pz1kS2VBcTz+P4c5HT2mPX81TTjJLEskDSdBIAEk6hhaDOQJFAGU/I/2XOQO4PLaFdaa0SzJ+8j8zWbQONM50yvXB+OP5unqYu/P8a71vfaC+pL/6QItA5cDcgWCDesRUxHIDxQODRHUEtkQFgsIA1wBBwCw/M74T/HU6aHneOPN4rvf2tkq2NDSi9bG1cbUDtXc1X7QvdaW2nvrMfW+8or8sgFtIE06NECZO5VCP0bGXJFiWloLWG9J7UuQR/JAL0MqN7wrMST8FU0XmxL3B939betA4hPeFNUk0RfHIMFOvfa2WLjCvfPDiskAyhvNUNl85FXu0vQe+gcBzAYrC8sRNBjzGrsc9BnNHfEfCB7KH/ca6RpzFOwNlwmUBlkErP5f9kHwR+si5lriad5N2PTSuMs8yRvJisl9yHzFn8eax0jKasng36rroP/k/lr+DxOCMixNX1E/SlpGdFS1VgFuSGGdX59Yb0f/TPVJk0fOQNInUhkBD9kHnQXJ86reC9OFyR/Gf8JlrymuQakOrQW37bM5unLEFcgR2M/jGO1hAAgC4g6eGP8b/SfJJ0IqnC5jLjEviisEJK0kHCABHIsalA98Cd0EMvog+XzwnOmK5dHaBtq51v/QIdLJyazIDMi3x03KhcVixc/ILMsA0CzSg9TJ7Fz5oAmhCYQTKCfjS25iml0XXF9UFGb+ce91Am1gXVJJb0fsOtNA1DWnIcwV9f9b+631m+3/4dLPT7zPucqy7bQTq8am66RIp9GuxbTixBXQxt0I6PXweAE2EPogVCh4K5MvgDO1OUc8ejv4MlEuOSdpI4sd0xU/C1oCs/oh+YX0Ju195gvdmdsx2iTXrNP5zKPJBctjyO/OIM160HzRudYD2F7eddri35Te4ulFCQ8LQB+2F1Ikhj6jXwpvJmiFVxVT4FxlaEpoDFJMPfgnoSXFIK0hXBK7APTs9+Jr4sriwtwtzkHCBra0uXG3NLdatNewXLYyv+LIktXE31fxNgDaCKIZ3SJRMns4TjuGPk0/K0BzN2AvwyrZJTYdixAUAmL9/fnk9Nbsf+E335Hb2tqW2K/SHNAlzm7Lds6NzubRh9IT1MXY2dn/3+rhv+Wk7FrqMe2I6B/uXApXE7wmTyKsIH06elY7bVRtqVtHVGBVjFrmWy9HNDtKJdISXw42CEgGH/5R7Rzdudqz2c/ZrNH4xHHCyrzgvH25RLj3vmbIE8082J3f1PFtA/MS2SGeLM00+zhjPsc99EKxOuY01yi6HWAaeRJCCvEAL/S57/Pri+al5mjez9gu1QvPSdEa0MfMFMykyN7L9tAX1ETd1eBL3+HkbOdi8/36Efpb9S7yFOpT9j7/UBuyKmAjhCZZKwNQvGkHdjRip1hKTJFNbVPMSO05zh17Cx8AKQCs/qz5Ved73R3V8NMh2JTWv84mw6G7Bbtev4vCqMd4y1HXRtzP6AP26Q1oHg8oni5JMMM8AkLiRIU8DDVmKRchDhg+EAQJQf4p9Cjr7OYS5GTiQN9F3C/V5tDIz8/QxdS304rO881Fz7XZJ97W4Vvlv+Mg6pHvxfjv/7P/GfaT8mHzExVqJDkprCiFHhU5vldebPRrHlzWVANThU6mUM89QjFMHFUEQ/+K+bf2QOx+3NLWqtat0czMVMfEyizLeMYdwqK/osmxzvXZHOQu7hH31fqXCyUhBDJrNkUxdjFXOKY7rjlGLq4juReOCnYEGQBq+kPzy+S336feXt2E3s7badt42FfRNdA40/HYRNzh2HXY7tvf4cLmNuul7a7v5O5i8tT1Yf/e/Cf5WPg4An4iEia+LH0rJi7NTy1fAGDqXiZM5k9cUGhDO0F2JvkXoQng9eD2APDl6Dzi9NFv0w/VrtLc1nXL5cdWypHGnMvNzkTQAtmn4CvrLf0XBukXDCVcLzA+1jzGPZM9CzywOWMvch7dEJgEz/tY9tfrOuWc3zrZdNkj2obZzNq82EXX9dZe1HbV+teV2DDdptvB3KXkgOhI74ryVfTm9tP5Sfkv/5r1bvxDCtAXyyhEIzsiFDFQTB5h8GRLVEZTnE6fU1tSoEPnNG4c6wjrAWz70PGI5NbTjdAO0kTR6c31zYXLsM7ZyhPK98y5zw7VN9xU4wjuMvZB/3gQ+h9tL/Q2KzjTO1I9vD28OhoxPSabGKwMfwEE+KvsY+Yb4b3dntga1O/Ua9ci2ufYH9da1YTXC9V51cPYCNyb35vgN+Yg7i/yRvRY9tz82wNHAen9Vvp3DgYeJCXzJmIlhjFBRrhW71WaVspOS05hSdJIHz43MFgfTQpeAH75t/Ay5TrXiM6NzoDMgs7wyHXJv8isyuTMYc1o0N7U7d1O6KD0W/33CeYUKyS+MI46jT94QVZByzuNN1AsXCArFc0MhQJZ+LPsOuI839HdDtt92JHUTtLV0D/OMNIj0x3V49L51ILW/d/24fnloug+7kn1WPXK/Jz7DwBl+6wGKgMCHMogVyYqMZMt7UPfSkhY0FgaU2dN5U8sRCxCnDClIF4XrAd+/djwFuVF3pTWms/uz7/K7MxQykXKWc6nz1zOn9Iy03bcRuXY6lnz0fqxCVUZaizwNHQ6WjvJPopD6EPeOa0tex5kEucJRv6O+Kjss+QT3N7V9NIX1kTV7tUa0q/N9sz2y1rRJdQa1yLW1tPK1zHgjexA9Sn2M/YU+2T98AOOAxQEsxYQGCYoqCPMIz44AEE3VohTjktwT7xK3UrARyQ87zORII8MhwBn+Uv1vOkj2rLRyM5qylLLXschya7LQ8p0zvTQKtWi20vgJeqi9Ez8ugZlDysg6y3ENSs+gUC5QyNEtUCDOS0vOyCGENIEKfr18STm/tyH2bzU69Phz5fPc9OS0gLSVMz3zEDNO9Go0kTVttZ72HfdLuRu8Kj2tP1bAboDiwnnDt0RfCFzJI0t8ixYMOI+sESmUudMyEpvTR5MzEVXQAo06SonIbkNXQLC9c/rkeAb033O68wpxYXDvMFzwjvLW8pgzlzVjtu65iDsU/Ro/3QHjRB4HAsmlzAUNyc5+z+XQF4+gzmuL/om3BrKDCgAj/Xe6oXfpdQ/0GLPtM64ym3KIssIzeLNBc6r0BLTb9I00hLS/tlb4Hjjy+rG7Yz50/+eBZ8KOQ5EEBgkOCqjMYM2/y28QExHG1j3VidOUU3xRl5F0EOOOtgvTSIzCwIFavqg8zXosdXZz+vHkMDCvsW4frr3vU67GsLUxeLPt9rV4KXuHPypBMkSjxzeJyI1VDmTQGlDW0DtPV43+TKbLHYfFhOPAij5SfLh6R/i6dkL0qnNgMx+zHzNBswRzO3Lys1J0G7RA9L50prYjdoZ38jh8eik8Un7SwEtA4UI9A93J5IsTTW+MgQyzkEBTRVT9la3UalMnEvrP2dBXDatMYUiyxEkCl//G/ns8Gnp8d8L2IjL28M0vpnA1b8Zvg68r7/Lw6bOP9ve5gDyh/qjCK0TfyV1LiM3PjofPUQ9pjqkOk0x0yi3G+kRqwhH/h70QOsv5VXd+dbm0F3PN81QzcLOF89V0EjO5s+w0ofV/dY3163XE99x4Pfn6Oy+83j5r/6VEusZ8yY5LDYx/znLR/BOKlPcU5xL90iJRrRDYD9cNFUo4iC6E8sMygHSAg765O1R55fezN2+15bOcMQ5xMTET8MHwobDgsqG05HhDO1C+KEDvg3/G8UopDMvOdg3cDmLN4Q1HTIHKAcethKQCecA9/f17v7lKuCm2sTUjdB1zQDLRsp4zMLNss9hz+/O0dFs1+XZFN3c3gvjA+g46rTs2vEYAJcSXh3HILEp1i9TQ9NT71cDWoVZGVMPUGJMM0npQ1U32Sc8GTsSFgzvAwf5n+9W5e/gZdg300zRy8q9xnTD67/NwgPGb8hk0bPWheCS7b75hQoBFz0gnirMMEM4TDueOu84eDOXK2Yj2RtxFF4L6f4M9abtGegl48ba3dSQ0a/MWMxQyxrLZ8u3yrTNI9Ln1LDWadnf3M3hbuVJ6u7rEvAr7MHzBQkuFFodVSOCKC07xE86VJVcIWBGX+dcilRvTnBKnz2cK1gZJg6/B0L5+vDm50bh89yQ1kTRQtBQzQDLLsqtx2zJjch2zD3Um9zN4hzsr/e0BXsRexszJ8svtzbYNzY6wTifNXotGyXDHF4UHgtC/9j1iu7s59HeG9jA0nfPL82vzQbLNsv1zfvOUdGv1BTZRNuU337gJeQ35R7nPeWl6ED48v7KBc0NghCtHYsz7z2GSjBR2VIhWFRdgl4kW/RSBkiIOgUtCiXaFWIK8P2O8MHmMuGo11/R083YyC3JYcZdwxDFC8X2yWDQ49Pj24jhtOuq+M0E3g7KGB4iQSuFMtI2SjmKOVs4LzSPLB4j/Br7EZAHVv8X9abpBuJj2hLVv9AiyyTINcZTxW7GTceOzCDQrtJV1arYW90i4eLiGueJ58XppfYb/5wM2RgwGP0i0DH9QxZSBlbeWt1ZCVslXDJYWlVRTyo+iTCsIacXwQx6/FLy2ecV3/LVVc3RxibEIsHAv8y9KL+Qv33AXci+0R7c6eTi7HX2EwRkECUdZicFL1I0XzTRNg05sTgTNYUtmCPOHDQUJAtvAsj3pPCr55Xfcdgl0KDL58ghxSzFo8OuwgXHqMjPzLTQ7NSI3JngoeO+5hLpLfCg9nj+yw/KGwkgoCppLwxBe1YWWkRdSVjCVThYelOqUmtPMz9zMbYiaBdUElQG2/hj6yjhV9js0DXMvcdoxCTC871ivjnBUMQay1rSrtpP4rHpLvSKACkMwxeBIBsony2IMBAymjNYM8wu2yjOHyYZIRBoCIkB9fms80/qQeE/25LWi9FOzjnJkMbhw5PEAshiyZTKv82xzuTVMttb39Pk7ef47HnynQQMEH4eASW1JnU6Uk0cWDVgKlskXKdgW2DmXaVTEUwMPyEymyV1GsUOKQRM9p3o0t531EXNi8ZPwi/Azr1yvs2+k7+Hxf/MUNWT3l/mhu3t99UDuw51F6gfuCSgKR4tkC7ML+wuqymwJEweWhYWENYGuP9N+f/x2uln437d8ddH1ELQDM22yEDHH8YxxsjGQ8fyx2TLhMw00tvWptt34drnc/UfA4AUIhsBKUQ3VUZlVWxcxGDBZNJjRGXoZFdd5VnfSQo/5TNHJt8c/Q+vACT3AOcz3BfTPsgExIK+Brs2twq2YLV9uqbAIMh20EzYW+Gp6wX4DgWAEPEZ5yBcJLApfi3DL2UwzC3/J5cj4RzSFy4TcgsMBev85fO27YXna+NY4AbZStTIzUzLzsz/yt/JzMjvxvXIhMpLzdjT6dYV22/d4uaq9nwDRhATGn4i7TODRSFQw1o/XsJhM2XPZKdkPV2wVrhNbT4pNYYooxpjETUCYPe57cHhSdpU0JzKi8aGwKW/1boXuTS9LMAJx53OFdQo3SDngPI9ABYLZhTwGgYeEyPqJjopfCqKJZoghxs4FnkTig1hCHwDa/ud9KnvMev96DDked1C2KLTA9GpzlDMq8z5yyPMF8z5y3nSYtbv2qXeqeP68n/7uQinEXMVCCz0NcVBf08DUMdYLF4jXVZggV88W8RVZUkIQN4zzykLHyMQHgRn+Jzq3uFz2I/Pvs0VyWDFWsN7vwbA7sRkyRLQPtXW2Sbg8egW84D9EAdTDkwTrRe+G9AdpyBMH/Ib4BjnFIIQsgwoB0MDxf7X+Sv1Xu8v7Kfn1OPF4A7cB9ha1VHRitEo0WvQu9DB0KrSM9jk24TeWOMO6nz2UQCwC6MRuhuyKy41XUNHS1xNDVa5VvxYEVvZVm1UzUqzQb84HC1JJf8Zhw6tBMX4Oe3G5C/c/tZk0mjMUskOxmDEdMZZyHHMcNGJ1KHbWeLt6iT1XP24BfIMPhIXFmgZ1BpvG9AY0BTHEX4OFAoGBVkA5PxL+nr38fOR8R/vIOsf6KTlruOQ4YDdCtp32OHXLtdR15jYCNqL2nTd7d9M5xTzf/vCAvUJDBFkGxgsfTiVQEdIG0zzTz5WOlaaVi5WtU/mSOM9bjOsK/wg6xZwDB//dfXj6uXh8Nxv14nSKM0dyYzH+ccvyqzL5c4w00bZbd9B5V7sifPj+y0DTwi1DJkPMxJAFL0VmhURE0MPNAuXB64EiQET/af5Q/bB8qPwf+4B7azsKuq059Hlb+MJ443iUuGh31TfUt5f3vPfIeF042XpCe5+8+36WwFQC2YXaCIQLRA2fz0WRmBN9lHDVHVVi1TUT+dITUHcOLMvdSQVGH4NBAMz+K/u4uRo3sbYodJHz5LM5so/y1vM1s6i0rfWpdtp4cLmN+yq8rH4Zf6nApQF9giyCxgNBQ4YDlcNfgsjCSwGUARgAWr9pfkS9qPz0PHi7xXvXe2e6+TqI+rT6lTrI+nW5zjnPeg86EDn5+Sj4vjmyOsA7kbxifOf9ogCsA2QFmIhlijrMBs8kUQdTElR11MqUwtPfUyYRu8/NTgaK14fxRQvCdj+6vRl6sbhZdvm1F3Qj80CzQPNHM5A0BjSQNf33Jbh6ed37Enx3/Vn+W/9RQGYA7sEHAW8BaAGhwaaBQoEgAMTAroAaf4o/Hv6xvhc9hD1X/QQ8gLx5e977uHvaPC87hTuP+xu69nrSevj6cPoHenO6n7sBPCu8Yn04PxhBfkNmhjIHc0kvTDOOJVBHkkvSoJLokuPSL1GIEOVO9wyRShYHoUVuQvKAVX32O3C5Yrdqtev06zQzc/fzrnOktH/1IjZDd/n42Xpeu268d32Sfr9/VYAz/+pAAcBmAEdAygC6wDv/yT/cf/1/in+Y/1Q+/T52vgi+E34U/d69rX1HvT385/zhvLF8U/vSu2v7F3q2Oj65VrnvOq97OLuIPBR9Ln9iwZHDlQXjx8tJy0vGTZ1PGxEdEeTRoZFRkMGQJ882jYOLzQnZh26EmgJEAHw+AvxQOkh4RDbNtfc05LSCtNd06jUotfo2QveKeOk51/s9e9V8zb3h/pm/Rv+Kf9s/6P/YgDD/w0ArP9V/kL+Ov5+/oT95vvW+kb6CPsY+hn5dfmm+Bj4dPi+97/3QfYJ9CnzPfID8CLtZurC6+rtsu0m8Lzw7PSQ/DECEQlZEn4ZJCELKT4vrzXuO5k/A0GqQMQ+2DsHOfo0MC79Je4dShWJDWIGPv5c993wa+nh4g3eotoP2YPYVtfv1j/YKNr63bHireYT6zTuufBt9Nv31/or/ZL9Dv0O/e38Mf17/Qz9xvyi/EL8cvu9+nv6nPri+sn6mvnA+HX4yfgq+tL6GPrI+cf4BfjJ9332oPSC80fxrO557lDuqvC18wz15fgT/XsDfgpoEMwXjh4NJfwr5y/YNIw4wDlmO+U5ITeSNIgvxSr8JHMdbhaLDkkHSwEY+yz1Oe+h6WrlyuIy4V3f9t193cndC+DS4mflX+it6vPseu8S8nH0AvZE9zb37faO99b3Hvi2+ML3wvf59773Ufj4+Bz5zvlH+h76SPoF++P7gPze/Bv9dv2Y/SP98ftK+wL7efmT9331NvNB8obxrvHQ8z72yvjy+9kAUAYuDTgUPxowIAolUykSLjkyrzTYNOEzEDKZL0QssCceInAckhUnD/UJogSi/3D6vPU58qbu2uus6fjnA+ct5jPlYeWa5srnhemS6+jsAO6I7wHxtvI99NPz6PJK8jvyvvIU8x/zAfPt8uvzXfVg9kz4G/oS+3L86/wd/XX+3v/R/67/MP8+/r39g/zd+iX6nPlz+N316vNu8xPzWPQX9dT0l/fY+nb+MgPwBysNzxIQGAod3SGsJ34r1SyBLhkvkS+xL/EsrSnUJWQhpBxyF9kSHg0KB0sCcv21+Sf22/Hk7jbss+mz6LbnQefc5vXlPufi6EXqVewO7UbuEPCI8SnzFPRD9HL0ovQ89SL1SPWa9YH19vWG9lf3zfgf+sT6ePtu/C/9zv3v/Y79Xv3j/Or7Lvt2+u753vjH9/j2FfaL9RD1wPTR9Xz2Nfcq+an7YP+7AzIHqQspENQUyxnVHWohkCRQJ2wp1iq/K4grTSpmKEwlnSFQHhoaPRUsEBQLdAaRAkH+Mvqd9hTz0u9K7SjrTekK6OzmhuYe50vorOnT6mPsC+7S74Px1PK183z0GvU/9WL1y/Vq9qD2d/bF9m33gfha+QD6evra+ur6Ovvi+4n8vfxc/Mn7vvvO+5v7G/uj+mT63Pma+Hr3gvZF9tb2j/df+Dv5ofo+/QsBqQX5CaANehGJFVcZSR3SIJgjYiWwJU8layVoJXUk0CEVH0kcIBnOFdYRgw50Cz0HGwNP/9D76/jK9djylfAF7snr8ukp6a/pTuoS69TrfOzV7ZzviPHX8r3zO/RM9Fn0x/QW9bX1V/Y19nD2Avd192X4D/mG+ef5IvpH+nn6pPoL+1X71PuG/Pn8dP2n/dn94v1S/Yv8d/sl+i75x/el9gj3tPc/+Uj6/Pu9/gEC9AVTCTgNFRGYE38WMhlMG10dFB4cHpUeoB5sHmIdPxxzGioYfBaUFMERwQ4tC+cHUAUVAtv+u/t2+Nv1t/MM8pnwW++P7jvumO5G787v3/C/8UbyH/Mj9Af1x/Xm9c31E/aC9pn23/ZK9+j3Ffjq9wj4Xvjz+DT5zfi/+Nz4Avlm+Qz6zvqO+9j7KPyD/Nv8IP0H/Xf8ePty+hb64PmT+UP5Evmz+eH6OvzI/REAowJHBaoIxQvlDtAR8xMtFqEYSBpzGxAcCRzDG0IbsBr6GYUYuRa3FJIShhBVDpkL2AjCBQ4DbwDO/S/7f/h39sD02vKf8cXwYPCx8MLw1/Cy8WzyevO+9J71SvYO9wr4BfmT+fz5Cfri+cX5ifki+ZH4k/ei9u/14/UK9lf2qvYG99T36vj/+fv6tvss/E781vtM+/n6lvp++hb6iPky+fD4Efni+dj6tPuW/Kv9Vv+UAaMDcwWAB7oJCgxKDj0QaRI1FKMV/hZzGJEZRBpqGvcZYhmsGEkXiBVLE8UQJg6PC9oIJQaVA84A5f19+0D5f/fg9TT0IvOx8jryFvJD8gXz8vMT9Wb2kvcU+YH6EfvQ+4r85vzx/FH8UPso+iL5PPgs9zP2MPWb9B/0HvR/9Ov0qvVH9vr2h/fS94/4FfmJ+ff5ovlz+ef5Gvqi+p/6lvrZ+jv7GPzR/HX9lf7U/ywBaQLkA40FUQcXCbwKkAyXDrgQlBJTFAIWTBeGGFIZVhn3GH4YQhexFWwTsxBfDuwLNwmgBhYE4wHA/5X9D/zy+vj5W/mi+Ez4YPhd+JH45Ph1+Vb66fpo+3L7ifue+7T7kvsX+0j6X/lW+Gf3tPY+9nb1kvS88w3znfI28hryG/Id8o3y9fLV85v0VvU19rP2f/du+P/4F/kT+U/50PlM+o/66PpS+0z8Mv0d/mr/2wCVAkAEygWoB6oJ1QupDaoPRhHzEpgUqhWMFhYXKRcLF3YWkBVCFJMS4xC+DrgMJwtcCfAHVAa3BHADUwKfAeIA6P/1/jP+m/3r/I38Fvy1+2X7DPvl+tH6TPrS+WT57vh++BH4effX9gT2kPUt9bb0ivRE9MrzhvPx8qzy2/IH82DzzPNa9K70APW79aT22fdU+Cb47/cP+J747/jc+B35pfl9+mb7WPzV/ZX/DgGHAjYEOAaLCDAKUwu3DAMOnQ+vEIkRPRKhEtwSuRK/ErASVxK0Ee0Q6A/cDgsOJw2LDIsLnwqiCW8IXAdSBmMF2QSvA3gCKgETAHb/0/4h/jH99Pu9+rb5ufjs90f3UvaB9Zj0FPQr9Fj0SfQ+9G30zPQA9VP10vUd9iv2DPbg9fr1EvZB9j72I/Yh9h/2S/af9t/2gvcB+EP4hPiX+P/42flc+hD7qPs5/P38u/0N/2YAHQE1AjUDOQR9BXgGoAf0CAkKYgtwDJkNrw5yDzUQtRDXEBsRLhFYEVgR6hBoEPoPmw9KD9EO9Q2bDCwLgAkCCMwGZgVxA4UBmP8S/sL8bPsS+sr45PcY90f2yvWv9c31FPZi9p72+/ZB95P3CPiW+LP4f/hJ+Db4Dvjk96T3OffL9mj21/WH9XH1nvW29QL2Xfay9kL39feI+AD5efmb+b75OPp6+rT6uvr++mD7Tfy0/dn+NwBuAaICVgQUBsoHKQluCoALTQwyDV0ORw87EMIQMxHMEXUS9hJvE7MTtRNZE5gSjxFWEPMOqQ0tDGQKVwhqBtoEeAMWApYAD//K/af8v/se+5f62fkg+QH4UvcM9772ifYg9qn1xfXZ9Qj2Avbm9SP2avZw9mP2PfbU9bv12/W69ab1YfUQ9QX1ZPXV9U/2ofaf9pP2svba9kD3W/dg94D3y/c2+Oz4NvqE+9L8WP6I//kAXALPAz4Fowb/BzAJZwr9C38NLw/8EGQSgxOJFGcVIRaSFsEWdRboFaoUbBM/Ev4QRw9QDWQLggm+BxcGiwQTA6wBSQAN/z/+OP1T/H77cPpu+fD4ffgY+Ib3jvbU9Wf1BfWe9Db0rvP98tzy7fIz83rzq/Pr81j0hfSy9P/0C/Xc9L30d/Re9Gn0Y/Sf9An1gvXM9Rj2svZW9933bfjJ+Cz59/l3+oX7evxv/bD+HwCzAcEDxwUUCF8K2gxKD4URkhNqFUEXyRiYGfQZvxlSGXEYbxc3FpwU5BLBENQOLQ2wC1oKDAmtB2AGlgW/BAAEDgMyAmsBaQBZ/0f+GP0j/KH6Rvkh+P32BPbr9OTzCPNs8u/xrfFU8f/wvfB+8KXwmfDE8PDwLfFu8cvxBfJv8vDyi/NI9BP1dfUW9sf2jPcj+KL4NPlr+Yn5gPlv+UH5Ofk6+VX5/vnq+nj8Rv5gAMgCpAWJCKULYg63EBoT9hS4FlkYdxk3GlwaHRqiGVgZuBilFyUWWhRUEq4Q7w5ODZUL2wk9CMUGeQWcBPIDUwNmAoUBZwAm/y/+vfxl+/H5R/jV9pv1W/Qt80byTfGG8JnvG+9o7lzuMe797SnuXu697lHvQ/Ak8ejxwvKK80n0dPWi9uj3z/hv+TL6C/sA/Hf8qvxf/O/7CPvR+mP6Kfqx+Tn5hPlt+gP8yv3O/8kBIQSzBroJjgxMD7kRvBMAFqsXMhk5Gu4aHBsbG5IatxlgGL4W8hTlEqkQYA4JDO0J2QcSBuEEmQODAowBnwAfAEr/b/52/Tn89/qt+TX4yfZY9RL08/Lx8fzwNPCH7zXv/e737jfvgO+D77/vLPDZ8JTxSvLh8qHzvPS29Qz3W/hA+Uz6VvsM/AP9x/0M/jT+jP0g/UX8vfsj+2r64flW+fr4uPnj+mv8b/57ADYDyQXsCPkLZA+zEu4UVhc3GfcaDRzHHGIc9hsAG7kZURgwFtQTWxEID+EM6QoMCVIHwAWZBIAD6AKmAu0BDwEiAAT/t/1O/Kz61fiG9lD0PfIq8GLu9uzm60frl+qG6s/qxuuv7LPt/e5E8G3x2fIn9FL1avZI92L4mvmY+pz7g/xO/b/99f1y/qH+Xv4b/lv9oPyk+1f6Gvnk9wD34vYh94j3PPjd+Yj8mP96AzgHZApkDrAR5hRXGLoaghyaHeIdOR6hHQsdxBsfGmsYIRYmFCoSwA+VDZoLTQmVB+wFUwQiA4kBRQAG/8j9aPzs+n/53ve49dbz3PH276Tu+ey469jqFOqq6crpW+ov61LsYe157mPvsvD48XDz4vQ+9l732Pj8+Vn7mfy3/aT+Jf/K/8T/jf+L/yn/Rv5I/ff75vrg+cf4L/iU9+L3WPhK+VX7Jv6lANwDLwekCtIO8hK5Fq8ZEhz1HXMflSBFIUAhpyBBHxAd2BpeGOMVABPID4YMTQlUBsYDbQG2//n9bvwR+9r50/j49zD3JfbD9JnzU/I08S/wIu9h7r3tTe0c7TvtXu2M7dHtZO4s76fvZ/A28ffx+/IB9AL1SfZT98L49/m++r37h/xO/fv9wP3U/bH9X/3D/K774vqJ+pf5pvlz+YP5VvrS+nn8ov4oAYgEzwdHCy4PjhLQFmkaGB3AH5chFyOqI1QjdyJoIYgfUx2DGlIXuBNGEGsM3AhuBTsCc/8d/Sv7h/lZ+Gv3r/YL9nj1EPVt9KDzuPLl8SnxevCm79HuQu4D7vLtUe6o7tTuZu/f71HwMvEO8uPyyfOm9I71hPYo90z4BfkL+k/6rfrc+uH6PPsO+y77uPp0+hP6lfp6+tH68PoT+/77xPyJ/qz/5gFOAwEG2Qg9DIsPqxLyFeMYFBzLHjohVyJgI1MjrCLpIRYgyR28GoYXkhNLEMEMLglEBfQBy/4x/Aj6t/cb9lH0VfNB8q7xhvHl8IrwUfDN75zvpe9V73PvJO8U70vvme/l71nwBfHV8Wry6/Je89rzivRP9Rj22PY/9+73qvht+ez5ffqD+rv60vr4+sv6nPpB+lz5ffno+Ub6w/rU+/v7af2s/40CpQWtCIALJw64EmcWNBoSHm0gDiLLI94kwyX4JawktCLaH0MdqRorF1oU1A+XC6gHvwM8AFX9/Pl499b0p/J48QHwGe9B7tTtw+1+7TntWu0y7ZDt7+1H7vrube/C70vw4PCO8VvyF/Ol89fzYvQD9Wf1ivW99e71U/aU9rD2OvdP9zf3e/fW9xP4Ofgf+PH3q/fR91T4NPkb+8772fzF/U8AuwKaBnIKUg11EEYTlRZTGm4efyGfI6kkSiUdJg0nHCezJXQjfSCVHYwaCheVE4wPPQtdB8QDVgAR/QL6Pvfm9Ljy+vCN7xvu2+xf7Ajs8+ve67Trv+sh7LzsoO1l7gnvRe/+7wfxPPIH84PzzfNI9Mf0j/Uv9l/2jPak9u/2C/d/97X3lfe195X3fPf798X3+faG9g/2Ofez99n41/iL+Xr7/v2uAQ0FHAhiCxwPCBOuF6sb5x80I5MlnyfBKNgpXiqhKVcoFCYNI/wf+htXGIIUHRDbC9EGMAJs/mj6ZPdL9Ajxue6T7M3qF+op6f7o1Oie6Kfo3ujr6Ffpu+ku6o/qrOo+6+LrjOzO7fvudPDO8QPzc/Q19qL3Y/mK+kr7Ivx+/HT9/f3i/d39hf2a/Fn8YvtL+nX5X/jW9933O/hM+Cr5sft+/9kCmAckCz4P2RT1GeUeZyOYJtAoQysSLb0tvS39LCoq0Sb8I04gmBwXGJYSAw1xCA4EcP9n+3n3ZvN38Bfutuvg6T7ozebz5UTlCeX45BTldeXV5cLm2Ofj6NDpruqR62js0e1T77bwJ/Ka80/1bvdO+TD75vxu/pP/iQAkAQsBkgBVAML/1f6A/Wn7B/mv99f2N/b59Y328vVm9qr4mPt6/9IElAnBDewSSxjxHRokLSmFLCsvEzGFMV0xKDAFLtEqZCa5IB4aDhRkDtkIYwPd/cL4m/Qk8eDu4ewl64npq+eR5nrm0ebp5mPnOue659voQuqh6wbt2e397bPuru/P8IfxrPFZ8fTws/Gm8gH0gPXl9vT3ovmr+6X92v8XAf0A7ACnAPb/Cv+O/WP7//jO9WX0I/No87n0N/Rf9jj5ivxkAjQIng08FBAaKCAVJj0rrTDMMz02PTclNhk1aDLmLf8oHyNbHDYV7g0gBjP/wPlZ9H7vCewi6LblOeXr5A3lNuVc5R3m4eYv6L7p5Oph7KDsL+3x7sDvGfEt8sDyDvO88wH0dvTQ9Ln1o/Yr9xj4h/hs+bf61/vf/Kr9z/1j/lH+5f11/Uz85vom+Sn36PVx9Yj01fMq8170FPfE+wwArgOpCIcN8hL3GXcgMCZtK44u3i/QMZMz6zOvMrsvmCqMJVIgKxrQE0wNswbj//35MvWf8BXtqOoL6Ojmv+Z45uDmLOcY6LzoXOpZ62/sCe0g7sTuKu8t8F7wMPEo8hrzlvPv9IH1L/Zo94v4Ivq8+7H8j/1q/gz/0f/z/3P/7P7C/d/88voD+Rb3fPSz8vDws+8t75Pw3u7U8J7zKPfv+1wB7AVwCpQRlhYbHe8iiijCK0UvjjHJMaMznjPUMJUt6SmHIwwg8xmAEgsMZgWX/5D51/QC8ADsU+kx5+TkPuQr5F/jj+QN5RbmCeit6RnqMusr7H3tvO/V8A/yg/Ix83X0ovX+9l/4cvl5+qX7rfwv/pP/HQFRAk4CowI2AlYBDwHT/87+gf29+if3c/M48BbujO0V7T3tFuw47rnvr/T2+zkBqghoDg8U/hpGIU0m7S6KMa025zaCNkQ32zaeNMExtCwMJlsgPhePEUYJkAMk/d71qO+Q6hPm8ONh4v3ge+GC4EjhgOFm4t/kdOZF6BHq2+pV7EfuNO+I8fDyO/Sf9TL2yvel+Pj5ufsd/bH9hf9L/xkAlgGRAoUD3QRzBHUDQAMmAYoAuf1z/NT3gvSs7wTsv+cK6FXm+eZL6fzm1Ou57nP3Nf5NB1MNNRZJG2wkQisoMXw4kjo+Pk49Fz02O0k4DzWVMGcpkiMFHPMS4wyhBNH9Xfgb8ZPsvea/4r3fDt493YbdzNyx3fPdwt7B4ZLiQOac5xzpZuvi7H/u8fBs8t/zHfZ09+X5Hvuy/Ir+DADhAdACoAOzAw8FXQTQBXkFygRoBEMCOgAG/if7YfeD9Mbtuuv75g/lquPN4qLicONG5Eno2e899/ABeQeJEQoYCiLMKgM0WjmYQOlDaERdR+xDBUNgPkc6vDHdK+gjORvPEnoK8QEh+oj19uyS6M7ijt9Q26nZb9gM14bYQtic2UfaGd3h3oniheQL5/XpiOs079vwoPOC9SX4hfnw+1T9Cf9DAIEAGwMKA3wF5AVGBtYGqwZtBvsG7QWmBJQCf/+V+zb41fMG8F/rveZh5EjgHuNg3/PjkOOy5zjszPTV/iMHtBEqGA8iGSonNpQ7R0WQRxNKCEpMSc1GDUOpPgE3Hi+3JYIdmxIUC2wBofcY8DDo0eHD24LXUtN70TrRR9HS0bLTI9b21xPcId7F4W7kJ+hD6sLtL/AN8/r0GfeZ+WL6y/1M/4EAcwG8AiME1AWjB58HiAiICEIJ9ghhCOAHmwUEBEcAiPyM9/XzDO8R62nlvOEA4WjdI+Id4Xbjx+cT7aj0Qf8VB54QBBnTIH0tfzLFPbBBIUaMSd1JUkltR9tDMz5ZOL0v2CZtHI4UbwkNAPr2j+2p5W7e39dP0vDQ+c2mzjPOkNA70lrVDNkB3MDga+T96OHqge/78FX14vdY+rD76/z+/nIAngJzA4AFZQUuB+cHCwjXCVgJsAklCVoI5AYhBZUD6gA8/sD6evcj8k3uq+f94xLgSd5G3x7d39/t3kTknui786T7jAQlDHMT2Rw2JvYx3DcoQXhD9kcLSM9JhkjVRtNCiTzFNeIsrSSeGikQWAXX/J/yAOsZ4uLZ99Qw0FnOZczFyhfLq8zTzjLS0tYl2rXf+eJq6HvsYfFw9bH4JPwS/+YB4QMCBr8G5QjUCZ8L6AvbCwUMIgwDDOMLSwsfCgQItAVRA1IAM/6T+k/3mPLJ7ffnxuR+38jeb9xO3L3c5dzq4NbjX+ui8fH58wCvDG8TxR6oJ6YwkzcYPgNFz0aQTEJM90stRz9E0jzgNiMwayZ+HFgR/ga/+3rzGuoY4trZCdOfzfzI8Mf3xbPGkciHypzN59Ib1xndHuNM55LuGvKw9xb8h/+ZA1IH9QmlDI0O2g7eEHYQ1xFTEW8QxA/6DXQMOgzuCSsITAYhA0YAuP0/+fL1O/E+7TPoT+V74jvfZt1H2Tnas9cp3x3fyuVF6Q/vjvVzAOkJ2RORH48kljE6NfM/1EO7SAVLME1/SfdJukMlPyM5Bi/KJhwciRFoB4D8XfEQ6pffFNq30sbMVskpx2TF/MYSxy/KeMxF0dvVKdv236jlVepW7/D1y/lS/9QCoQaZCdkM5Q+UEvITiRSAFI0TxxT7E0sTXhJAD8sNjAvGCJcG9wIb/x37LffF8u7uA+md5V7gGd1b29vZ89r12vndvd5N5K/mJ+9F9mkANQhIEX0YnCDaKF8w3zioPX9DZEWhR+REm0VQPx49kDU8L6snVx0VFWIJ5wAG96nwTeZG4JnYTtNd0fHNQs4fzDjNd80p0H3T5dau2u3ec+Op5tjskPC29ez5kv27AV8FmQjJCzEODhDGEcETdhRMFSEU9xP6Eg4S6BHTDzEOXAvtB+AELQEz/XH4yvNx7pbq1eNJ4FLctdqy3Ifbut9E3yzjsOWb7FPy8vwWA9cLEBPsGYoj/ij5MXw0kToGPIk+eD3hPb45gja0MbEs1ybJH4wXLw5rBd38h/UE7t/meN/t2LzU1tJe0RDQCNDDzybRN9TA1RXZYtvC39bi3ujS6/DvZfKc9nH6Hv81BIsFvgjwCLALTA57EvcTShbyFVkWGxa/F/IYxBi5GBcW1BRzEXUPJAlDBnz/wfuR9vzxkOyE6PfjPONI4r/hheR+5HXpaOxw8AD1BftyANYITg09FvwZZyG0JbQntSlhK9QrNS6dLL4p1CcjIj4fIBomFsgP8gmhAqT7F/Vv8Kjr7uef4xvfU9wF2zHaetrR2U7aRNq92xfdcN8j4iTly+gm69nuvPC39JP3dPo+/Tv/OAFGA8wDJAWxB+UIugztDRMQ/xEQFPYXTxk5Gxwb4xuXHMgd+RudGWMVahCgDMsHNQUCAOz8Nfmh9urz1/DD75/ugvBL8L3ygvJ98+DyBfV/90H81QGSBFYIJQklDAYPYxPpFfAYbhnKGQgaQBlFGJIWlxTVEXQNZQkWBPX+SPqL9dzwdu196vLn++XB4hbit+Ct4Z3h3OL348PlH+Yc6C3oHOpa6/js5u0E70fwu+9v80/yifap+O37gf9/AycHawzKEIIULRsMHmYk+CX9KPkqgywrLuAthyywKXkmXiApHIIVAhDtCaoC9/sC9Y7v9ur05qXiSOC23ULdKd1V3l/hxOSU6YrtUfFC9jX67v/sBOkIYAw+EIcS6hR9FnEX4hnPGU0aWBflFMwRmw6RC9oHTwOZ/7H6A/Zy8gnu++xB6lTpmuX+4yHivOLx4evibuEt4QPhpuB+4Yzhd+I04r/jjeQa6v/tiPZt+bb+lQJeCtwTVB7lJxMtqDLsNXk7CT8oQ6VC3kKtPs06VjNvLF0kFRz8EyILWgO8+tHzjOvh5GTfPNv61xXWm9N700TTxdU02MbaVd5/4vLlfes68E31Rft8/psEJAgMDh0StRa8GLgc3R05Ia0ieCJzIc8dpBowFoUSfQ1fCWkDRf6d9+3wTutc5VXi/d/M3Q7dldpW2RvX6dWA1qjYVdq53KrcUt7p39HhP+X06B3utvM7+yIBvgh6DokWTB5VJ7YvcjaYO/4+skEwQ5tFB0QfQnw8ZTaGMTgrziWzHY8TGQmH/+325fC+6S3jXt271ijTi8+3zhzOc8400PfRu9Vh2TPfcuOB6fbtdPSA+rwAiwYPC/AQQhWJGpQdyCBMIgskXyS5JMsiFiCrHIgXuhIxDHEGOACQ+2P1/+/56dHk0OAP3mXc7dpy2ebYYNh32PfYF9qF2yTdJN934afjjeVw6JDp2e7z8bb4bf6zA78ILg07E3oaiSMYKhYy+jTjOWs7fj4QQc1CzEKoQfU9XDisMmorQiV3HTkWlg2gBD/7WfFA6C/hU9zr11DV/NGNzvTNrMy7zm/QANST14Lbq9/c4wfqSe++9rb7LwIRB1EMzhA6FNkXJxqNHMUd7R7yHQ4dABsNGcsW4hNrEP8L8QaZAbj8KPis80/vL+uR567kkOK64MPfid6M3VPdM9093qreHODr3yLhH+Fh4/LkGOju6ozu/fNA+Sv+AwNpCAEPvhf6HiAnIyzZMb02DTvMPv5AqEECQiVAqD2EOQc1UC84KPAfmxehD5IH+/8+9yzv1Oe44oTdO9no04zRPM9wz5TOxM6/zxHSl9W42NTcKeEm5yjt6vNt+dn/mgWSC6EQzxStGLsbER4rHzIgox+EH+Qd9RutGSwXsRT8EQIPTwtSBwUDKf8P+1n3z/P372zskeiQ5aXiouBx3gPdDdwZ3LPcod5R4ETi/uMY5pPo6OpD7QvvOvGC8rT0LPV79+n5bAC6B3URPhniH8gnQy7hNEc6zz2zP6FBa0B7P687ADiDMaQqcSKLGyAU4AwzBB76SfJQ6yrnnOJs3inZN9U+0svQU9D60IfSHdSy1v3ZwN5O45Hp0O1n80P46f1yAx8IkQxjELoT4Ba8GY0bmh1VHtoeSx+MHxMflh2uGtcW7xHrDLIHkAKv/Uv4PfNq7sfqF+hw5lzlruT544XkS+XR5QTnoef96HfqKOwF7dft7u1J7hju6+5z7+jvpfCs8JTwUvF68ibz+PRv9vX7rAHQCwkTTBtyIZgnEi8UN6c+70OjRstFnETwQD0+MDkqMvsofx1FEq8IcP/C9hbu4eV33wvajdUN057RbdKE06DU5tY12R3dIeEQ5DDnCuve7oLzjPby+G78xf+CBP0HdwufDqMRCRSaFjIY1xnsGwwcpRtyGVcXOhTvEfoN2gr1Bh8DH/9z+4f46/VH9HHyKvFd8AfwP/C78NDwyfCh8IDwTPCi77TuUO4+7sDuM+9W70XvA+8F7+3uy+/88N3ym/Of83nzDvPD8x7zlfFJ75/wV/N/+pEC8AsdFmYfgCgpL9c1mzuRQXdDm0QlQUw+7TmEM68qxSBSF4APDAf9/rH3WfBx6xPm3uHl3pDdo9xa3H/b5Nru2nHbt9zr3QfgDONA5tnpW+1t8dn12fpCAFMFGwpkDmQSexUIGN8ZlRtzHBscfxp0GBsWKBTOEecOGwxUCGUElwDo/Ef6APhh9oH1wPQz9PPzEfOT8oDxkPHZ8c7yz/NE9AT0ivNJ8zfzS/S+9F71+PTd9EjzkPJZ8gjy0fIJ88fyHPJZ8cXvV+5J7O/rn+o969jru+1M82n7bAd7FMgfLymrMTc4MD7SQexD10S0QxdBkTvkNTwwcSmjIUsY9w3WBA38hfMo7HPl/eDT3cjaztj71tXV39T100XUEdbB2Ard8uCt5ADpu+198kP3Efvo/qID2Ah0DukTtRjdHDMfEiCTH+YdXhzgGX8XKBR+EeQO7gsMCdwFSQPGAAr/s/zz+mT5nfhe92j2yPSz8o/wbO4T7fPru+ut68vrwez97VfwHfNG9pn56/y2/9UBxwLyAgwDRgIEAX7/Ff4u/HP6J/cq8/7vrOxu6tTowuaa5c3kXOPr4wXlZeoh86L8TghlFN0fISyGNfI7ukE8RUNHK0ekRKRAgjowNLcrviHpF+YObgWY/FP0newi58nh69wp2eXWxdVo1NjSQdI10v7ShdSq1azY2dxc4mnpM/CH9yn/9gbIDr8V+RpOH9ohMCNPJEYkUyRJIxgh8B1QGaAUfxD1C/cHFwT0/9D8oPll9kr06PEg8OzujO3y7FHsfOse7Nrs/u1N78Dw4PKE9T73CvmJ+k38HP71/uj/sgCsAf4C7wPLBKwFawbvBokGJgUeA3YAX/2d+cP1U/IM76TrV+i/5D3i098b3w7f+d9H4cPj5OWP6KjrVvJp/EwJUxdeI+UxuD1fSBpRQlTyVTJVWE9XSQJBiji3MY4nvRyJECUEn/n57Wnjidtm1TfSE9B0zqjPaNAo0cbRitGT04nVBtiY27XfD+Wb69jx8fic/yoG2gwME7AY2B0VIoolmifVKKwoYid4JIwgdhvkFeoQIQxJB54CCv6f+ff17vG87gLsCuqA6PfmWeas5qnna+ji6bHrW+4e8cvzm/Zx+aD8ef99AcgDdgU3BrkGDwaOBXsFTwUbBZAEPASlAwwD2AG0AFP/Rf61/L/69fg/97L0nvJj8GHtseqv5+7kmePS4oLirOLG4n7jceR45P/n/+5H+SkJXBaHJkA3GkYSUyNa410KX0VbeVQyS8NAeDn2LugjuhivDaEDFfgu7JDiytnW0q3McMdcxh3GMcaYxs3GisijylXMA89K0yfZzOAI6Nvx6PvJBbYOnBamHsIlOiskL08xizJFMlovhivNJlEgKhrWEr8LrgbAAGH8qvhO9aPzl/HH72nui+3Z7A/sMuu468Ts1Oxf7b/t0O608OTxPPO09Zz4WfsD/kkAKwOYBYgHAgluCQgKlwmPB6QFJQNEAc//FP7r/N38bvzf+676wvly+eT3tPXA8k3vHO2B6uLoUOjh6ADquOsZ7fLuOvGa8571hvZL93H4bfrl+ln+3gMKDr8ZGSSALdw3hUFXSRRN00w/TFZIVkKsOFgu3iTvG+4QXwbY/Ub3C/K866Ll0eFM35LcrNku10nVatSb0uXRNtJ81KXWk9nh3f3iNOr/8Ar4lf8DBiYMqxHAFXwZrhuLHHAcIxt+GbUWCRM3D/EKsQY9A/z/Tf7V/K77c/qn+ZL5vPh59+L1IfXe9LD0hPQj9cj2lfhC+kT7DP3C/pUAAgLLArIEmga7Bx8IEAghCEQIoAesBpwFtgT1A/IBiABM/x/+lf2L/FP7Gvv8+SH5K/jA9v71U/VP9B/z/PF28SDx4PCp8OXwtPHw8sbztfXi94D5FvqY+hT7EfwT/WD89/x3/r3+f/5d/8sARQfFDsIVnB/HKeMzzzvDQPFDn0aYRDI9ITOlKOQeaBRlCVIARflw9CTuOOml5sLkcuGu3SragdnM2ZnYQNj/2Gbbjt0D37ngNOQi6IDsHfE091n/qwe2Do8U1xncHZofdh5xHC8Z1hWyER4N7Al9B6QF/gNBAhABOwA//z3+Pv0p/Df7U/nL9xn28fQP9K7yv/HG8XfyY/Rh9uX4aPxg//cBKwSzBQ4HMwe/Bl4GvAWZBXIF1QR/BMUD7AISAuUAE//v/Kv6qfgd91j2E/Yh9nv2fPZn9pD2uvZM96b3B/jO+O/5jPvJ/LD9zP6//wwA5//M/1r/iv8s/8n/3ADIAs4DgQS0AxQDGAFl/lv7cPeX83bwhu3t7+H29f68De4X3yUZM6s5uD76Phk7yTe1Ll0lpx+OGY8VRA/8CFUFKQG7+p70yOuL54Dhldwv2yTamdr72V/XxdWd1VTUzdSX1RTZAN+l5djtIvcUAT4KtRAlFb8YfBrSGiAamxjcF/8WiRWQFHMTURK7EBUPqg3yDJ0LRgpjCOUF7ALo/rX6xfZQ8n3ufOt16WfpBOs97bfw0/Sf+C38u/7kAKACTQNlAygDYQOWA3YDvQKOAtwC6AL6AkADpQR/BicHqQfDB2gHcwY6BI4BLP91/BD65fc59oz11PQi9Df0WvS/9SP3HvhW+X76m/uU/Jz8TPy4+3T6p/lk+Af4jveJ92b4BfoO/Gv95v9HAQwCBAEN/978hvuI+EX27PQX9bz4sfyKAkcLKxSZHUYlZSr7MZo3rDntOTs1fzFrLakjvhtiE6QLcwX++9L0+vAn7ojrHeno5nrnmeXK4aPevdsv28zZqNiN2QvdY+Fg5v3rbvMM/B8DAwnCDYkSHxbAGCcacBuUHAscTBq+GEIWhhNLEI4MFAq/B14F0gP2AUgA//3V+sX3ZPT47z3sEenT5vvl9eXH557q1u0M8fDzSPeu+h/9Qv8MAfkCMQUgBiQHtAc4CF0INgj0B5wI/AhCCRUJGQlgCQYJHwjoBk0F/QJhADL9g/qf92/09vHM7zLulu2Z7dbu2fAt89z1uPic++b9FgB/AZEC7ALnAsUCmAI2AokCqgLlApsD6wNhBMgEWwQcBBEEcgP+Am4DvgKhAuQAvP5w/AT53fSk8c3ttuv46VXqHPIb+5sIZxUbIvguYjmOPkRBtD9yO2I0YikyH1oXxREwC9UFowAC/v36rPWL7/fpwOTi39nZH9Xt04/TqtOa09TTQ9cB2gPd/uAI5krt7PS7+yYEhgyOFKEaLh34HokfWx5dHEcZBxdaFpAUYRPtEVkQyQ6BC1EHUwNs/2H7hvdH9CLy0PAe8K3ut+2t7OXrjevS63rtUvC985z3W/ta/xQDbgXoBoEHEgh2CJoIIgkeCiML2QvyCyMLbQrjCN8GxAT4ApwBoAC4//r+GP4j/Xj7TflO90r1aPPi8Unx5PEL82P04fUF9zv4zfii+O34PfnX+b76DPwA/mQALAINBAEFswVCBv8F5AV+BUoF3QTXAxYCLAFh/zP+7/sE+sj58fjv+ET47PZ09czz4u998n/0X/1kB+QQTh8WK3E1lj7zQHZAeTvrLhQk/RcjEAELuwXZAuACOgIJAyYA5vuH90XwjuiB4X/c4dmy1/7UydR11bLX8dmT20zfq+Qs6tnxZPmKAgkLiBG9Fr4Z2BrMGjoYJRWgEkcQEg+ADvANfQ5CDv0MKwvvB2wEbgDB+2D4RPW48hTyr/C68Kzw7e/47/jv1e+R8DfxnvIO9Sz3mvpX/b3/JALLA/kEKgZ/Bn4HTwgHCZ8KPwwjDrYPSBCPECkQ6g42DRILAwlIB+wE3AKOAF3+ZPw8+gT4T/Xk8s7wHe9e7ojuKu+h8DbyevMP9XH2R/e59/j3EfjM+IX5Pvv6/Df/VQF6A64F8QbIB8sHkgd4BrwE3AKwAHT+svs0+fj2VvUy9Dnz5vJq8mTyOvLc8enx/fNe91/+XQYUD2YaVyK1Krcv+zK9Neo0+DAGLkcphyYuJNQeAx0oGMASqQw8BH39qvYz7X3maOCl3Nfbltg/1zfWE9W71bPV29Ze2+/eK+SF6e7ujvYj/AIBSgUECTsNnxA5FL4XBRyiHp0giiCNH3kdcBk1FGIO4gjRA2L/Mvu3+BD3s/U39MDygPFB8Irun+xN66vq7+rl6yvuaPGv9Av43vru/VUArQIKBVgH1gmNC70NZw9nEIkQCxDUDkINxgqNCJwGDQVvBAYE/wNTBPIDEQPlARYAhf57/Kz6a/kB+Dj3bPbh9Xn1MPWF9E/0DvQA9CH0QfTC9Kf1nfae9xz5OPrG+9b8J/7Q/+kARQI8Aw8EbwRIBF0DIgMIAloBAAHhAJEB1QE+AtUC9gLRAmcCoQHcAKn+p/yD++b61/pL+QX4nvZZ9fXzQvTn98z+NweqD0QZSiMGLAAxpzG2L/Qr+iV0Ho8XqBPfEcgPdg0mC40JLAbj/7n3pO8X6MbgQtpQ1svVHNbj1m3XiNls3FbfLeLK5EXp7u5b9Vz8bwOgCsIQUBSuFoQX2BcyFzkV+xLKESIR2xBYEJMPTQ+hDVALswi5BXIDFACD/ID5pPaH9G7yTPA573fuUu6O7lHv2vAS8yb1wfej+rz9zQD/AsYEXgZLB6MHJQd/Bg0GKAWIBAcESwS+BBgFXAXeBVIGdwbZBrgGmAaaBYUEPgOeAdn/sP2b+8f51/dH9ln1/fQ59Z31/fUm9hH2ZPbx9mX35/eK+Cb5E/rE+uz7hP06/20AbgGVArcDVwSqBDoE0AM4A68CYAILApYB6gDv/8/+A/6s/bH95v3v/cP97P0L/qr9ifyI+vz3vfWC8x/zkvUS+v4AuAfNDgsW1BzSITckMyV1JeQjQiGmHlIcnxovF20Sww6DCxgI5AMf/8D7ovgl9S3yse9D7tXrJuil5E/iBOEo4Fjf+t9P4mjl1ejg7O3xcff/+5T/4wLTBp4KPA1oD34RyxORFREWtBYDF9wWaxUNE6QQcw5IC28HTAMI/yz73PaL8unuAuyI6qbpt+kd68Xske418KDx8/MP9o73BflF+vL7tP1E/44BFgR3BsAIpgqyDNkOKRBbEbcRqRFZEQUQQA4jDKkJMAfvA64Avv0C+574bva69Bf02vOn85rzsPMs9Gf0cfT99LD14Pbv9w356vpT/Wf/oQFQA+UEUwb5BpwHUAfoBmEGUgXsBH4E/AN8A5sCWQHkACQAeP9l/pf8q/r193/1f/Nt8Xzwj/Cg8h/3TvxZAW0GRwomDYMO1w6hD6cPQQ85D8YPmBIdFqkYERtGHPYc+RssGOITRg+kCsAFRABS/MX5A/fj8xHwJ+0F60foe+U25EPkseXx5svo4Oth73bywPQS9+H5r/wN/0sBDAQyByYKSwwuDuAP9xD1ECgQDg/qDVoMWgpECJIG5gQRAzUB3v93/hj9ZPv++cr4jvdB9i71mfRU9GP08PQn9nD31vhd+uP7qP3R/qv/ugCXAT8CzQIfA6cDtAPAAxkEpgR0BRwGrgZIB4AHdgfqBh0GIwXIAx4CmAAB/6P9Q/zP+ob5lviV98r27fU69cX0ofTa9JX1afZv93T4rPk++7D8Kf7J/0sBmwKfA1oEEAUhBdAEDwTkApgBigC1/7L+YP2y+876Yfoj+kT50Ph7+KX4GvkT+8D+JwNXBk0IdgmTDD4QMxQzGN0bnx+NIU8hBiCTHoQbORalDmEI9ASdAm0Amv7c/WL9kvpE9trxru1F6dTir92a21nckt7V4cLmS+398t/3I/wXADEEOgY3B1oI+AkYDIcNGQ4JD3wPew8ODzUOhg7RDWMMvArhCCcHhwShAPf8Vfn89YXztPFK8Yrxz/Hk8vDzFfUP9mv2IPfu92f4pfnI+jX8nP12/j3/DQCdAIIBqgIiBBoGMgh4CpIM/Q39DpYOMg2FC3gJZQdzBYQDNAIwAUcA9P+P/zP/WP7k/Mz7pvqn+bv4F/j892D4vviO+V36bPt2/Ez9kv1N/Zj8CfyZ++/63Po2+yX8y/xm/XH+rv/KACsBkgHaAXICngIdA8ADRQTBBL8EeAQaBKED5AIXAhcBjwBAABsA4/8V/zb+/PzX+5P6mvnG98D1dPMJ8j/yY/RV+K393wI9B5sKAA6mERkUNRV8FDcTfBFDEAYQAxHlEdkRaRG3EEURHBEzEHgNYQnNBN3/Ivsz92HzdO8Y6w/nmOTx42HkIOVT5lDoFOut7SPwJfPV9WP4bfpb/Ef/6QEVBFgG3AgWDL8O2RCLEtsTYBQ/FLISRBHAD5cNIgvMB7wEBwLk/vX7aPmb91j2EPVL9Jz0hvX09un30vi2+Yj63PoV+/L6M/vq+wr90/77AKcDagbRCOUKJQwVDfYMCQzkCoEJKwg1BgUE6wFLAOz+uv2I/KL7Cfsq+oz5qfgV+Cj3FPYT9Tf02fPb8+7zkvSh9UL3N/n/+on8xv1z/gj/mv84APsApAEcAvcCogNQBMIEyAR6BJ8D7gGw/+r8rfr6+JL3V/ZB9Qv1gPX79cT2ivi9+i79Rv54AJ4EoAhYDD4OKhEYFh0bwR6iIfkjhiULJQ4jRSHrH7QcNBfFEJsL9wexA4T+FfkS9Evvburx5ebibuCy3b/a+tiX2dLbUN6Y4GrjG+cc65fu8vKX98T81gH7BrQMNxJ1FlIZqBp6G+gbyBv6GtEZxRdqFVASZg+6DCgKpgdIBIcA5Pxd+fv1CvMc8MPtcOvq6WPpwOnt6hLsmu0M7wDxO/N+9lX5EPxF/nQA6AJiBcsHegryDOcOZhB/EcMSixOsE44SPhB/DRUL0QgWB1EFOgNiAUz/rf1P/Pv6Nvkv9sfyB/Dj7drsJeww7L3sx+1679Xxf/RT95b5bPt9/X3/fQFoA9wEEAZZBlQGYwYrBt0FCgWdA4UCmAExAcUAKgBX///9Wfyy+sb4SPeo9Rf0MfTL9oz7NQFZBjMLoBAkFkEbpR9sIjkjcCLtIH4f5R71HeAbhhhZFBEQFAzhB4gDkP52+VL0TO/f6jPnPOTE4W3f0d063cfdBN/k4GTjmeY86g/uAPJI9nz6f/4tAqEF1QgWDMYO5hDNEkcUdRXeFV4V/RRYFH4TixIFERQPswzFCcUGhwNeAFj9Nfr/9jX0oPER8Mfuqu1D7ULtHe5T79nwF/NP9ZT3pPmD+/T9ZgB/AloEbgXJBl4INgrvC2cNPw7NDqoOPg4CDnkNHAzuCQQHWgRZAVX+jPvw+Oj2xPQh8/bxKvE+8CDvTO4f7mTuXu4f7wnwtfF485D1LvjB+vb8Nv8kAb8CAgSzBJQFLAZnBtcGyAaWBqcFYAScA94C8gHYAG7/Qv70/S3+8gCgBDsIVwvCDYMRVxZ5GuQc2h2fHe4cxxpwGUwYPBewEwYP5QrWCMEHfAV/Agb/4/tj+AP11/EE743rief74wjie+Fa4ZHhDuIw44zl1+iS7GnwcPPC9gn6wP24AXEF6gjkCxYOOBD4EVMTBxTaE3sTABNHEswRfxCsDl4M8Qm+BxoFCgIl/1f8PflE9sfzPfL+8Hvvle5P7mzv9/Bv8lf06fZr+c370f0DACUC5wMwBf4FzwarBxoIqwhVCS4KsgqACvkJjgkoCVoIHweDBXID/wCh/sf8X/v5+V/45vaY9Yn0yPOf89vzP/Qo9Hv0HfX49dD2iPdD+Dv57fkZ+937GP1C/hr/AgDPAOcBzAJlA2kDRQPnAiQCoAD4/vb9df2f/dP9Nf4i/gX+D/8EAnwGPwrYC58MYg5MER8VyhjZG9YdIh70HdAd7R1fHSsaJRWeEKcMugkCBr8BoP2X+R/2/fIi8KTtfOrx5gTkyOK74sniGuLe4RvitOPV5WLocOt47pzxR/Va+Qz+4wL9BqMKog2PECETmxQKFaEUVxRDFI8TMhLUEF8PEQ6lDFwLOgqrCOcF9gI2ACD+7vsh+Q/2evOO8Wvw5O8L8ITwJPHi8cbyRvQr9rb3AvkE+oz7o/2j/5gB0AP6BUsIQQoPDKkNWA5bDo8NjwyKC8oJBAg9Bn0EtgICAYv/a/7G/Cj7Dfm+9rb0+/L08SLxPvDr7wTwtvAC8v/zGPbd99L4ffkc+hL7UPyN/WL+1P5I/wAA5gAMAQYBFQGpAe8CVQQ4BvEHhQjMCM4KAQ6HEaQSrRIwE8MUWRebGVAbJxw8G4EZIRjfF+UX9BXfEQ0N5wjpBe8CgP9S+8r2R/Jr7oDrw+kO6B/m2OPC4t3idePf43nkluVh55jpZuym7wHzPvZ0+df8qwBcBG8HJQpGDKQOABELE0UUlxRdFO4TKBP5ESMQOw5DDAoKYQi8Bm8FJAOKAJH9gfu7+Ur4afaK9NvypvEw8Svxt/FT8iLzxfMm9XL3O/qL/Br+nf+DAdIDtAWdB8kIWglKCf0IeAkNCgAKSQnCB8IG9gU6BRQE3gLlACf/Uf2y+3L6o/ik9o30svKC8evwS/Az8OLvnfCR8Tjz8/Rz9v33F/m8+gz8fP1N/gAAWwGcAugCOwOGA1MEaARXBKoDPgLFACn/9f/SAbQDsgSWBEQGsAl2Di8SPBSzFQMXRRiZGa4aDxtCGkAXghTJEgESKhC6DI0IWgU+A0YBqP8e/dT6nPeT9N7xgO/A7M/pQ+eX5dXkeuS55Frlmeae6PbqoO148E3zDvbo+Jb7g/4XAaoDoAV1BxQJnQoNDIENyg6aD4MQOBG8EeMRjxHkEOIPRA5TDCsKMwgCBjgDowAl/kH8MfrT+Jb3xPaM9Xv07vMu9HD0SfTc867z+/ON9Jr1KfYl9yD4jflt+1b9aP8TAYYCoAPZBCIGWAe/B6QHyAZlBr4FEAXaA1cCmQDQ/nz9x/w2/MT7Kfu5+sb6tvqW+mb60vlr+Tj52/gy+d75/voN/K78rP3F/g8AhAGWAi8DVAM5AqEBkwELA1EFcgaqBuMGmQhhDfURHxURFroVlBYkGOEZ5hqLGesVbhGbDYoL1QmCBpMBN/xS+NT2N/Ze9abzGvFV7/PtOu2C7Cfrvumv6DnoL+kX6hbrWOxD7gnx2vNl9jf5LPxc/3oCGAWmB7wJ9ArtC38M0Qy+DFoM6QuvCx4LlAptCUUIdAe0BiAGAwVnA58BBAD6/vH98/yJ+yD6i/ii9yr3JPeR98z3c/hS+Vb6n/vm/FX+mv+iADMBiwG0AUkC0gJKA1gDVAMiA0cDTgOyA9sDxQPbA9UDQgR9BJ8EsARpBDgEvQM3A0gC3QA3/8r9ufzl++z6N/qu+aj5NvpW+0b8Ef3J/Xz+ef8eAK4AKgFlAW0BuAAkAPP/sf8X/0X+c/06/dT8vfzF/Fv9w/3N/an9j/3Y/fP9mf3O/Ez8C/wY/L388P2m/4EBiQMfBkcJLwzTDn8QNhL+EjwTlBLMEeYQWA8cDX0KVwiHBtUEoAJTAOP9v/sN+pf4V/cF9pr0FPMz8r7xr/Ej8ZzwH/Bz8DrxXvJH8yr0PPVY9v73+fkn/Ev+GwC9AYgDoQU9B8IIngkvCqkK+QrWCn0K/gmSCcQIlwenBsUFHgUKBHsCMgHy/6v+P/3m+8v68vkl+bj4U/hM+Bb4Gvhv+CP5yPlU+sT6bft4/J79sP5M/7f/jgC8AdECxAOdBCQFvgWXBdcFXQa2BmMGiQX4BNgEPgRnA2ICaQHZAAsAAf/b/bT89vsj+276j/mF+ID33PZY9kj2D/a89V71S/Vw9br1kPWt9ej1qfYC+MD5pfuX/b7/pgKFBd4HJwosDF4PlxJhFTwXFxgIGaUaURwIHVQc5Rm7F7sVNxQzEg0PDgu/BpgCHACG/a36BfcG84jwve437cbrBOq36N7nZOf+58rom+lP6vLqpuwe79nxUPSN9p34cft3/ssBrATmBngIjAnHCj8Mhg1jDpMOow6RDnMObg5HDr8NiAylCggJpAcrBlwEnwI4ARUAxf7p/Tn9ofz6+1b7Rftb+yr78fp6+kD6Hfrr+Xf5Eflz+Ar4wfe791D4Uflm+pD7efyq/f7+9v+LAM0A1wCuAEEALQBHAHcAUQDe/5X/1/8GAF0AOADK/2P/Bv8S/z//Uv8s/63+M/6//b79Df5x/lj+N/4u/qf+Bv85//H+5v4U/8z/dQADAe0BOgNHBUEHCwnEClgMqA2PDoEPRBAvEFUPfg4JDggOQQ0tDOoKAAo1CW8Iegc1BlgEQgJfAJT+3Pzi+qr4m/Zm9KnyYPFQ8Hvv0O4b7gDuLO7g7gPwevHi8lf0ufVg90T5MvvM/P79I/9EAI8B9wJCBIAFbQZbBwgISwlECtwKDwv4Cs8KqAo1CqsJuwhgB+QFggQoA74BSgDY/mr9OPwB+xv6XPmz+Nv3GPef9lT27fXN9Z313/VO9vn27Pfp+Bj6iPsN/YP+wv/5AAIC0gJqA+cDHwQ0BNgDywPNA+ADngMIAzwCrAESAYMAs/+J/lH9UPyq+9f7ePyT/fP99f2O/mwA8wIEBVoGXgf6CDMLlA0WELsRIhLDEaERNBLQEkgSnBB7DgUNBQwWC6MJnAf9BGUCCQBG/mz8CfpF91H0+PE18PPuAe7A7NXrIusl677ru+ye7Tnu4O4W8JbxZPP79Ln2VPgj+vT7BP5NAHgCSAT7BfkHCQrKC04NWw4dD18PMg+tDv0NHQ0hDBAL3gnCCNcH1QbrBdEE0gOKAhkBk/87/gX94Ptn+vH4u/fi9kz2Dvbl9VP2t/Zz94z4pvnw+hP8Mv02/hb/uv8gAJAA1wAsATIBlwG+AQoCWwKcAvoC9wLCAq0CdAJ1AhIClQHxAF8A8v+J/yz/6/69/nL+S/5h/q/+EP8h/1T/S/9D/x//Bv/n/or+AP7d/ez9If4o/jH+xP6O/0cAWwE6AjAD0AOlBOMFEQcsCNgIFAmUCZIJ3QngCWcJ2Qi5B68GBAYJBQsEyQJEARwAC/8h/k/9EvzN+pX5x/gD+CP3IPY59WP0D/T781j0ufRN9TD2V/eZ+AH6dvvu/Cf+Uf82AOgAWQHiAXcCCgM5A4oDuwPkAyoEYgRcBC8EvwOAA2IDcgNIA8MCYwIlAuIByAGAARYBhQARALD/sv95/0f/LP8T/yb/a//R/yEAQABhAG8AnQCDAKAAoQCYAF8ASABXALEA+wBEAYQBiwGVAYABZwFKAc8ATwCe/wD/nv5u/iD+Bv6d/X39e/2T/d/9Kf5q/qz+t/4V/2//1f8tAFoApQD8AEQBzgE8ArwCAgMbA0UDQgMyAycD6wLmAn8CIgLqAaABTgEwAQABJwFJAVcBxgFIAqQCHwNhA6oDqgOlA1wDDwNiAq0BWQH6AJgAFgC2/1L/zP6V/kL+D/7J/aX9jv2x/cP9Ev79/Qz+EP7//QD+vP1W/QH9h/w3/Mb7dPtM+wz7zPrt+hz7rvsH/Fj81/xL/bj9Mf5K/iz++f2m/Vf9DP1w/CP89Pvi+wT8ZPzn/Kn94P09/jX+/f3n/VD9y/wK/Pn6XfrK+ff5uvri+3T9FP+3ACIDDgY8CeQLEw4OEBMS1hOXFZoW8hbIFiYW0hVjFY4UcxOlEbYP1g0NDNsJKwcFBPAAvP0L+yD4MvW78l7we+4E7efrR+vm6rjq9Op/6wjsMu1J7gDwuvF982b1RPc7+T77G/33/p4ACAJiA8wEBgZCBy0I7AhECbQJQAp8CkIK6AmpCWcJ1ggkCHkHmgZ/BXQEVwOsAqIBpQCe/8H+1/3+/Cr8jfvg+k/6RvpW+oj6y/oi+9T7mPyW/Xb+IP+z/1wA1gCAAcIB5wEGAvEBuwGrAYIBXQEIAeEA5QD1AJ0AZgA0AAkAo/9m/xL/lf4V/nf9E/2l/Dn83fuf+7v7qvv/+3j85/w2/Yr9zv2C/rL+1f75/t7+GP+u/yQA2QASAU0B3AFhAgoDowPyA1YEcwS0BBQFPQVRBToF5QSgBBgEuQNEA80CbwI7AtEBdwECAbYAagA5AO7/rP+D/y7/yf6g/oX+pv6T/nz+a/6H/qn+7v4k/17/UP9W/2j/Zv8q/9T+mP6A/nz+qv7K/v7+FP9t/6D/EwAXAD8AUgBHAEAAMgA5ADgAYwB5ALAA0QC0AKsAhwCiAH4ATQD0/8P/ef9U/zj/A/+w/pf+iP6P/q3+5v4o/6L/EwC/AHsBGwJiAqMCGAONA7wD0wPCA7QDlwOVA6QDsgNpA1QDDgP4ArACSgLjAUABiwDZ/xz/f/7C/fT8Vfzz+2T7DvvC+p/6evp6+rn6BPsq+2z7t/s3/HX8uPwB/U79Vf2i/fT9VP58/oj+sf7L/u/+8v7R/r/+af5T/nL+af4+/m3+gP7A/gr/WP+9/xcAeQDkADEBpgEMAp8CRgNBBN8EtgV7BlIHGwjlCIwJ4QkjCh0KAgrsCYkJ9ggpCGgHlAbCBdUE+gPsAvYB8gABAC//W/6B/df88/tU+9f6Yvr9+ZX5FPmy+Dr4JPgR+Bf4Sfhy+Nb4ffkZ+hz76vvT/JP9Pv4M/9r/WQDUADwBcAGcAQ4CTQKFAqcCvQLOAhYDHgMSA/IClwIZArIBPQG6AC0AoP8R/7j+Lv7z/aP9TP0h/S39Nf1h/YL9r/3U/TH+fv6p/sT+xf6h/r/+tv6n/pX+p/6u/sv+3v4Q/y//Z/95/4f/lP+g/4H/jP+K/33/hP+K/5X/s//Q/0QAwQA+AZcBCAKOAh0DNwNZA5YD3gPgA8oDvQPTA9ADzgPfAyAELgQ2BGcEfgSjBMAEvQTpBJ0EhQRTBAYEpwNKA/8CwQI3AqMBLwHTAEgAzf8P/1H+bv3C/CD8sfsr+3/6Ivo7+kL6afp1+mv6gvq3+v/6gPvA++T7KPyA/L38Iv1+/f79Ev5m/s7+K/+c/wkAiwArAZQB6AE9An0CigJvAj0CIAKsAS4BsgA/ALP/b/8e//b+qv6a/pL+lP7N/g3/Wf+5//n/YACuAAgBVgGVAc8B8wEDAiwCPgKHAogClgKRApoCnAK1ArcCjwImArIBfQFNAd0AWwDP/3L/+/6r/m3+W/5J/k/+UP5T/o3+4v46/4n/qP8YAF8AuwC/AMkA1gDqAMwAtwDjAMAAnwC2AMwABAEEAf8A7AD5AIAASQD4/3P/Cf+C/vr9a/3J/HT8PfxE/Gv8dvzm/If93f2E/h3/0P9aAPQAZAHTAfQBQwKXAskC3gLgAtEC3ALPAsMC0ALrAgADMQMwA0oDKwP4ArkCVwIMAqkBEgGYACQAyP9w/z///P7O/pP+c/4Y/tj9tf2Y/WH9X/1C/TD9D/0r/Sb9Q/1y/YT9jf2Z/cn9I/5U/nb+jv61/sP+uP63/sr+zv7X/sD+0v7h/uz+t/7J/tf+EP8z/z//V/+K/6T/+P8rAG0AugD4AC8BZAFzAZsBvAHrASkCVwJvAocCvwIgA0YDkgPUAxcEOQRKBFAEfgRzBGcELwQaBAQE8APDA5oDdQNqA0sDRAMjA9oCawLqAWkB7gBEAJn/6f4c/ln9ufwt/OT7c/sM+7X6ffoq+ij6Evou+kf6bvqa+sH64fo1+4z71vsq/HX83vxm/cT9a/7g/nX/EwB7AO8AbgGVAdUB/gEcAiYCDgIBAvkBrAGzAaYBrgGQAXYBcgFtAU4BTwFBAT0BEQHhALoAmABXADgANgA5ACIAJAA0AFwAaABtAI0AyADAAB4BIQFAATIBEwE0AUIBLwEVAfIA0gC5AM4ADAEQARkBbQFdAXQBbwFWAVUB/ACzAHcAAQDh/y3/0f7C/rf+vf7O/tH+9P4G/0D/hf+l//D/HQAvAIUAegCfAN4A2wC0AKkAlQCMAEsABgDg/9r/wf/b/+H/6P+T/0D/MP9Y//T+sf6K/kT+Hf4F/u79J/4N/v/9/f0y/oH+Zv6r/gz/9v5i/6L/5/8YAP3/BAAjAB8AZwBjAFsAdQBVAHAAqABMAGQAkQClAG0AOABJAEkADgAiABsADQAdAPH/4//8/9//1v+z/53/gP9//4b/v//H/+b/IwBiAHsAowDiACcBKQFnAVcBXwFGATQBSgE3ASYBGQHYANEAnwCAAGgAQwAzADAARQBzAFcAUgB3AJ0AgwCJAH0AcAA/AD8ASwBEAEQAQABBAF8ATgBLAFIAbgBFAEEALAAjAPv/wv9v/zn/AP/c/sH+z/7o/jb/jf+H/8X/FwAoAEMAMwAzAOr/NABCAEgAeQBhAJ0A4gDyAEMBGwFLAX4BiAFTASUBNwEmAZcAEAC6/6L/iv9G/x3/4v7A/rz+1/7s/sL+u/5D/hv+zP2L/ZD9Pv0W/fj82vxE/Tj9dv3K/R3+Yf7G/kX/yf8SAF8A2wA4AWoBnQHBARgCEQIeAl4CgQJ4AnMCaQJMAioCAwLkAfMBngF/AVMBKwEdAe8A7QDoAKAAbAAtAC4AFQAOAPr/BgAGAFoAoACoAMcA9AAWATAB7ADaALoAiwBgADMAHgAhAND/if+P/5j/rv+x/3//gf9m/3v/gv+V/1z/Tv9A/xP/6/7Z/rj+vv6S/nX+df5l/lX+av6P/rX+yP7d/vX+Iv8d/1D/aP9j/0r/f/+Z/53/o/+u/83/9/8UAF8AhQDaAOMA3wAUATsBFQH6AOUAzwClALQA1wDuABEB8gABAS0B/AAUAdAA0wCdAHAAeQBNADYAKgATADMAOQAkABQAEgDw/+r/t/+u/3f/cf9s/3L/Zf9f/3f/g/+A/47/1f8EAPz/NAB1AMkA8gArAVUBfwFJATwBWAEeAcIAdwA7ABAAsP+T/4f/eP8o//z+Q//7/+b/of+Q/5X/5v8AAP3/Uv/g/s/+hv64/uP+Pf8o/+L/wwDgACcBKQEYAXsBlAF6AWUBOQHtAMcAzADkAIQAdgA4AAAACAD7//r/DAAaACgAKQA4ACEA/P+s/3D/Sf9S/xv/XP+e/+n/DAAmALMAAAFcAXkBhAF9AVsBxAGwAb4BiwFRAYABewEoARUB1QCGACIASAApALT/hv98///+xv6X/mP+rv5B/if+lP7L/t3+iv4+/zT/3f50/yj/Pv+8/5P/o/8AAE8A1v+3/xIAQwDo/xMAlv+c/w0A0gCrADwAHgCA/5L/GACMAE3/gP4y/xcAbwDG/xb/gf8TABv/uf/q/3z/EAAW/3f/vf+q/yEAUv8LAK3/WADw/0L/2/9VABYBcQCqAKYAzgAJAJH/1v/cADsAfP+p/1QA5gGUANQAKgEmAVgCTAE+ArQBhwBQAYP+bQF7/xQB8QLo/SEBRQAs/lP+lAEdCSABkPsx//3+mQEVAd79dAD0A0sAJf3D+wcAsADv/AT/3vu9/o//e/5y/7z9i/6oALH9lPxi/+H78v+3/UT+6gGK/mQCdgHr/L8A7v4AApcBhP4QA00DBgHaAHICBQJKBKUAFAH/AXEBsgFaApz/TwEkAVX/cAMTA7D+QQB2/vD+rQHN/Z3/xwCA+iX9iAFB/+T/jP1o/qAB8gDz/Df8wv49A/oBwP25/f4CVQOw/tb/7AE1/wIAXgEF/UH/DgBO/Xj/cf2I/c4Bav4i/nAAz/0vAT0CAv83AJD95QAj/7X7yQAVAaf/HAOv/1EBwwaz/eYA4AQH/5YA4QO4AaoAfABkAYABGgBGASoDbwEh/Rn/zP6sAhwDLf6h/ccCiwG8+ycCvQCL/Sz/BP9PA4wCaf1u/5MAXgDMABj+wgB8AEj8HQG+ALP9/gEy/4j/yf+b/X/+6/6c/1H/lP37/UQANAA4Alj+Q/25ARsCHAFN/lcBxf7P/XwDof4pABME+/+U/yYCcf5SAusCKvy6AcQDgwAeAW8AufxXA28C8v9x/bb+OQCN+0UCs/06/j3+/v4cAdj/0/ym/SACYf8QAB37KADjAdz8X//jABsBRgJr/03/YQLfAvUCfP+i/WICeACjA1kAJwCEBL/+CQFlAYYBOgLG/Wr/YwOz/Yr+4ABr/eEBYP4N/SkDF/45AH77gf+UAb79tP9k/TUBKP84/AkA/QBj/xAA3/ts/+cCov9k/z//pwBRAaL/WQLMABQASf+OAagC9wHFAej+uQFF/8kBawFXAawBXv9RAVP/UgDp/xkCpvt0AKb9uP3tAYD8IQEN/Z0CK/7f/tr/+/8J/8r9lAK4/KX/sQDUAHQAFQHBAOwAHwKWAu/+t/8rAwD/ZgDUAOH+HgIFAQr/ygBG/VsAAgFQ/tEAiP7z/4n/t/9i/gYBe/78/o0AEf6vAhX9zwG+//kAdgH8AAcBM/6wAVz/oQNA/m0B2P/PAP4BNQAYAgL+8QFT/wABTv86AG8Bkv+7/iwAawHD/XEAD//t/2v/7f1JAG//WgCeAJD9K/8KAT0AYP8t//AAdAHV/+D/LwBeAcEB+f95AI7/MACwAHEAHAFjAI4AVAEeAHH/BgHE/57//f7M/zgAnf/J/xH/OgAqAGP/aP9lAED/Wv9BAA0Aev9yANkAWv90/+QAEwE8/8QACgBiAOj/ZQBmAOf/cAAZ//v+6f8JAUj/gf+L/z4AQv9Q/hUASQBnAFj+xv4yAEMBgQGZAMQAWQBoAHkASgGLAHsAVQA9AQUBtv9hADwCXQEkAToB0/4TAcoA8/8+/7wA8/8VAIn/SgAXAdT+YP9l/2wAHQD+/jD+TP9i/74Aev/z/wsA1v4xANL/LACh/zH/TP/F/8H+uf/Y/6H/H/9h/3v/JQAo/7v+rv/N/j3/Cf88/0z/EABg/8/+wP+k/3X/Tf8t/5sA2v8YAFoA3v+wAYoA4P/SAJEAvwDg/wAA9gE9AUABLQC5ANcBxQCsAIwAvwDXADoAev+tACEB/f/7AGEBNQB8AGYAiP+D/1sA0gDO/7X/bf8j//X//v/X/10Aqf9h/w8A3f8PANX/UP+e/2v/lv9//8T+p/4SAIEA1f/0/4MA6f+bAF8A8/+RAPT+d//k/zoAHQHN/yj/KQDy/wMAEAEoAFYAlP/g/2wAJwDcAJQAeABFAHkAJABgAHEAoACDAAoBLwBW/2r/BAD/AHIA0P++/qT/0f+VAE3/Fv82/8X/QwC5/5L/Sf8ZAB8AEgBp/77/C/9f/x4ABQAd/6z/cAAAAA8A7//T/03/tP/T/1wA5/87/5z/YAAGALwA8/8H/+b/xP/f/6T/FAAiACoAdQCnAHQAggAgAGn/cP91/4f/QP8F/wD/NQBRAGIAQQBZ/zz/WgBRAJP/EgC//8n/EABIAKwAOgH1AEwAZwDoAHUB3QC4AMAASQBvAIYApgDtAAcAw/8DAOL/BgAZAMb/7f/E/y3/Xv+Q/9H/bf8D/8D/AQDV/5D/ff/R/0YAAADp/z0AGQBCAKcAcwB9ALUAOAAUAC4ARABqAOT/5f9EAFwAbwAjAAoA3P+o/w8AvP/l//r/of+1/8b//P/r/37/YP/k/6//if8oANr/sP/s/8X/5/9CAOj/m/+g//n/6/8PAEsA0P/T/zQACQAwABkA1v/g/yYAOgAJAB4ALgBDAC4A9f/0/+7/JgBNAB0AWgBzAGwAXAB4AIQASgC3AHcA1v+o/w8AQQA3APv/Sf/b/2MAWQAiAFj/mv+x//f/KQDT/9//CQD4/0gAhwBbAOX/xv/f/0cAJQCo/7D/4P9XADYAUQCiADUA3//q/7P/+v/f/3L/gf/e/yYA9P+v/yb/2v8iALv//f7i/hH/v//R/7v/CgAcAPb/h//q/+H/6//l/8v/4P8rAAUAEgBlAIMAcAAoAL//k/8cALT/IgDy/87/FgD//0sAYgAYAOX/KAA4AEoAEAA/AJUApgBSACwASAB3ANAACAD7/xQAOABcAHwAgwBuAEEAbwBxABwAbABfAGYAAgCb/5r/yf+s/7n/nv9h/5L/of/b/8r/sP+0//f/4v+3/4L/w//H/w8AHwCf//T/dgCeAJYApwBoAKQAywCtAJUAXAB5AEMAZQCQAF0ARgBwADYAPABBAEAAKADE/73/JwAsANH/ef+N/+L/2f/A/5z/Yf+3/9n/y//7/8//y//Z/8n/y//d/9T/lP/G/xAA+/+3/7H/n//V/7n/v//p/+H/0v/U/+//AAAwAPb/6P8AAN7/uf++//v/u/+o/47/wf/y/+f/0//p/ykA6//z/ycACQDf/9P/9f8lABUA0/8TACAAPQA5ABoAaQCMAEoAPwBeAGgAaAA3AGgAsACYAF4AUAB5AGEATABYAEMAFgAcAPv/EwBhAB0Awv8FAAkACQA9AAAAk/+e/8D/3v8GANr/nf/B/8b/8v87AB4A+P/A//P/PQAEABgA5f/A/+H/4f/9/yYAAgD8/+7/EAD//7b/4v8SAAAAqv/D/xkAHQDb/8L/1f/v/wgA0f/W/+b/DQBNADIA7/8qABkA/P8kAPz/CAAcAMH/8v8lACIAHwDg/xoAGgDs/xsAAADx/yMAPgAgADoASwA+ACcANQAuABwALgA4AC8AQwBXAHgAewB2AEAALgA1AB8ABwAAAAYA7P/M/9z/5v/G/5r/jP+N/2X/Xf9s/2f/Zv9G/3L/n/+k/5n/lv/B/7b/yv82AIAAiQBPAH4AxADaANEAtQCOAKAAnACLAJEAgQBlACAALgBpACsA/P8GABoADQDt/8P/r/+l/6n/yP/D/8v/wv+p//D/BgAYABwA/v/q/wIASQA8AAAADQAdAB8APgBTAEwAMADg/8//2P/K/93/1/+y/8f/u//H/8H/mP+w/7L/l//K/9r/4v/r/wkAIQAZABUACQDu/wMAAQD4/wAA3P/5/ycAGAAOACgAOQAoAD8ASgAzACUABwAPAD0ALwAVAPX/AAASAPP/4P/e/8r/ov+6/+D/t/+s/8P/5//5/xEA9/8EAAgAGwA7AEsAPwAYAFMAagA9ADoAQQBBAEsASABPADsAJQAnADUAVwA6ABgAIQAbAAoABwARAP//6f/r/+j/7f/d/+b/1v+//97/+v/q/+b/DAA6ACEABwAEACMAKQAiAPv/5//5/wYAEgAiAB4ANwARABUAHADw//f/BgD5/9v/8/++/87/y/+4//r//f/X/4//sv/Q/+L/2//j/93/+f/j/+H/BQDy//b/0//x/wIA7f/p//L/OgBdAHMAVwBZADAAMABOAFwARQD9/xsAIwBHADgAKQARABEALQARABQA///t/+r/HwAXABUA7v8HAAIA/v/8/+z/+f/W/9b/6//S/77/wf/G/77/pf/F/63/q/+6/7f/2//Z/8P/q//d/9r/4v/Z/+X/5P/t/xIAGAAhADQARAA9AFoANwAvAEAAIQAjABsAGAAjADQANwAhAP//EQAsADYAOgAlAAcAKgArADEAJgAdAB4ALgAXABMACwAKABYABwAyADAANABRAFEARwBMAE8AOQBDADgAOQADABIAIgAaABwAEwAfAB0AGQAZADwAOQAuACkAHQAOANv/vv/R/+//3v/R/8b/yv+4/7X/wP+8/6n/nf+r/9L/vv+7/8j/xv/M/8z/1v/k/9b/2//w/wEAEAANAAwAEwAOAAUA9v8NAPn/5f/0//3/9v/f/+X/7f/l/+D/4v/p/9j/+P/3//z/AAAfABYAIwAMAAwAPAA3AEwAEAAVABYAQQBDAEMAVABHAFYANABVADoALwAxADQAPAA/AEUARQBOADwAMAA2ACAAGAAGAPT/0v/Q/9L/v//B/7j/rf+n/4z/k/+f/43/iv+q/73/yf/W/+f/4v/p//X/BAA1AEIAKwBBADEAKwA0AD8AYABYACwAPQBYAGAAWAA7ACIAJAAOAP7/AAD8/wIA9v/0//v/6//v/+r/3//6/wwAHwBBACwAOAA9AEAARwA8ACEAGgAVABwAIQAaABkAAwD1/xMA/f/S/8L/rf+i/8X/wv+x/5//if+h/6T/pf+w/6D/0f/e/+f/7f/2//r/BAAkACAADAD+//b/+//7/wYAAgABAPz/8/8FAAEAAADy/+D/+//f/+X/2P/W/+7/3//m//3/9/8AABwALwBAAE4AXwBqAGMAUgBMAEMASgBRAE4AXAA9ACoAMgA+ACoAIQAhABoAAADv//H/7v/v/+P/2//t/9//2//Z/8X/3f/W/7j/zP/Z/+r/8//u//7/FwAgADAAJAAxADcAMwA+ADYAMAA7ACoALAAkABwAMwBEADUALgAcABUADAD7//r/4v/i/+//1//K/8L/3f/m/9X/3f/3//H/3v/0/wEACQAVAPb/AQD9/wkA///5/w8A8//6//P/4f/V/9L/1//r////AAAbAP7/6//4//H/7P/q//P/+v/t/+X/+/8BAPz/AwDx/wIA9/8PAAoA9/8AAP//AgACAPT/7f/u//z/CwALAAwADwDz/+//BQAEACAAGAAOABUADwAdAA8AHAAMAAcAAgAIAAAAAQAUAA4AHAAXAAsAGQAWACAAGQAlADgANABBAEcAQwBOAE4APgBBAE0APAA8ACAAEAAiAA0A/f/w/+b/+P/T/7//w/+s/7b/s/+t/7D/o/+p/6v/vf/I/77/wP/e/9j/1P/U/97//P8CAP3/DgAKABQAGgAtADIAFwAsADsAIAAzACkAGgAxAEkAXQBsAFMATQBUAFAAXQBJAC0AHQANAAcA///z/+b/4v/h/+v/3f/b/+b/7//n//3/DAALAAoA8v8MAAgABQAHAP//BgD1/wAAGAAqACQALwAeACUAKgAhABsAHAAHAAkA///2//H/3P/h/9X/1f/J/7n/q/+d/57/p//B/7D/u//H/+X/1P/T/9v/2f/m/+3/+P8HABkAKQBIAEsAXABQAFUAXwAwAEEAOgA8ADgANAAXACkAEAABAAoA5//k/83/1v/K/8D/u//B/8X/zP/I/83/8//e//T/AQD9/wEABAAPACYAJwAkABcAHgAqACsAFAAJAPr/8v/+//H/4P/P/8//4f/P/+b/6//k//f/AAAHACgAKAAfACYAKgBIAEIAOAA9AEoAXwBuAGEASwBlAF8AWAA7ADEAIQADAPj/AADr/9X/x/++/9r/xv/S/93/0P/3/+P/7P/v/wEAHwARAB0APwAuACcAKQAcADEAEgAKABsACAAGAAwAEwAiABIAAwAKAPP/+v/p/+X/8//5/+X/4//b/+n/7f/o//X/4v/i/+v/5v/j/+r/3//g/+v/4f/x/+r/4//s/+n/AAAXAAoAJQAjAB0AMwAmADsANQA/AEwAMwBIAFUAUQBQAEkAPAA/ACYAFwD+//H/+v/4//D/9v/Y/+b/6f/V/+//7P/u//r/9v/9//f/5v/v//f/8f/v/+D/7f8GAPH/9v/z/+n/8P/T/9n/2P/N/9r/2P/G/9r/2v/U/+H/3P/M/9D/zP/T/+D/3P8AAAMAEgAlABUAJAAaABMAIQAKAAAAHAAVADQALQAcADYANwA/ADkAMABAACcAMQBGAEUAMAAsADQALAAlACoANAAoACUAJgAXABIACQAPAB0ADQAXAA4A8/8JAPT/9v/4/+X/6f/m/+T/zf+w/7L/s/++/7v/vv+5/8j/4P/r//v//f8AAAkAHQASAAUAEQAEAAwACQD+//z/+f/s/+3/AAADAPb/7f/v/+v/3//l/+7/9f/q//7/DgAYABcAGQA7AD4AQABPAEkAUABEAD8ASwBWADgAKgAqACQAIwAjAC0AFwAYABwABwAOAAYABQAHAPb/7v/o/8j/xP+t/7L/wP/J/87/zP/D/8T/uP/A/83/0//V/9X/6P8BAAEADgAmACMAIgAaABkAGwATACoAMgAyACYAJwAnAB0ACQAOACkAIwAaAAcAAgAOAOr/3//l/87/z//M/7f/t/+2/7P/yP/X/+j//P/+/x4AHQAdAD8AVgBXAGAAWQBkAF0AXQBqAFMAOQAtACUAPAAyABsAGQATAAAAAQD2//v/5v/D/8//wv+s/67/r/+n/5//rf+p/7X/sP/N/9n/5//3//b/DgAUABQACgASACIADgAeACsALAA1ADQAJAAsACcANwBKACsAHgAaACAAGQAFABcAEgANACAAFQAJAAgA+/8AABAADwAGABMAEwAVAAkABAAQABIA8f/q/+z/7P/l/9T/1//Y/9T/2v/f/9j/2f/f//P/AADw/wIAAAAOABMACQALAAkAFwAXABYAKAAdACoANwA3ACYAMQA9ACgAKAAqADwAKAAhADMAIQAfAPb/6//4/+//4v/v/+H/0P/F/8P/0f/N/8P/vf/A/9D/vf+8/83/wf+6/73/yP/T/83/3//w//n//P8FAPj/EgAMAAsAHgD8/wMACgDz//n/7P/3//r/8//9/wAA7f/l//P///8AAPX/8P/5////FwAXACYANgBCAE4AUwBVAEMANwAxADcAMAApACwAIAAjAA0ACAAHABAAEQAIAAkAAQD4/w0AAgD5/wMAAAAJABAACAACAAsAHwAaACkAHAAoAB0ADAAjAC0AMgAoACAALwAtACIAEwAFAAQAAwD6//f/7//1//j/+v8JABQABAAHAPX/5v/w/+X/0P/Q/87/2f/L/87/4f/U/8z/xv/N/9T/uf/D/9//+P/5//////8QAAkADwAeAAsABwArACIAMgBEACEAMQBBADUAMQAkABwAEwD1/+n/8f/0//D/4/8DAP3/9v/n/9r/7/8AAAIAFQAFABkAKAAeACUAFwAdACIAGAAfADQAMwAuAB8AEgAgABEAFwAUABUAAwD2//T//P/b/9P/x/+r/6//sv+1/7n/r/+s/8n/y//P/9b/yP/u/+3/9f/3//b/DAAOAAkAIQAoAB8ANgA3ADYAOwAxADIAOABRAEkAQwBEACwAKAAyACIAKQAhABQADgAMAAsADQD5/w4AGwAQABUADgAJAA4AAwAQAAwABgALAAoACgAKAAcADgASABIAFQAYAA8ABgAAAAAA9P/w/97/1P/F/7//vf++/8v/u//B/8//1//v/+P/5//3//f/AQALAAIAEwAaAC4AMwAzAC0AKgAnAB0AGgATAB0ACgAIABEAEAAWAP3//P8AABQAEgAIAAAA+f/3//3/DQARAAwABwAOABYADwAMABgAFgAQABsAGQAQAAAABwD7/wcAEQD+/wAADAD6//j/AgDy//f/9v/m/+X/0f/U/9L/2//V/8H/vv/H/8z/0//N/8H/wv/S/9D/4v/p/93/4//u//b/AADy//7/EQAXACYAMgA1AFAAVgBXAFEAPQBTAEAAPwBAAB8AGwAKAAcABwD5//3/CQD9/wkA9v/v//z/AgAAAAcABgAFAAAADAAGAAcABAD9/wMAEgAIABMAHAAZAB0AHAAaACcAFAANAAwABQD5/+b/1//S/8D/vP/G/8f/zP/b/+v/BAAAAPn/9//v/+7/+f/2//H/1P/b/+7/7//6//H/1P/a/9//4P/e/+H/9f8FABcALQA8AFcAYABPAGQAbwBRAF4AZwB9AIYAfwCCAH0AYgBgAFEAVABXAEMANwAjABwAFwAAAPH/7P/Y/+H/4f/E/8j/sP+4/77/sv+u/6X/pP+3/7b/sf++/9f/6v/y/+3/9P8BAP3/AAABAAEAGAAIAAoAEQAZAA4ABQAQABYAEwAKAAkADQAAAPf/6P/j/9//5//N/8z/2//d/+X/6P/n/+f/6v/x//L/8v/3/wAAAAAKAAgACwAOACAAJgAvACUAKwAmACIALwAyAC4ANgA0ACAAFgAcAAAA9P/q//b/AAADAPL/5f/9/+3/5f/0/+j/7f/i//v/CAD7//z/AgADAAcACQAMAA4ACgAGABcAGQAkAB0AFwAhABEACgATAAEAAADn/+T/7v/l/+j/9//r/+7/5P/q/wAABQAFABgADAAUACUAIgAkABYAEgAVABYAKAAtADEAQgA9ADgAOwAlADIALgArACQAJQAUAAgABwD7/+j/0v/a/8//zf/W/9H/zv/B/8T/zf/W/+D/+//4/x0AGAAVACkAGQANAAYABgAKABAACQAUACQAIgAtACgAMgAnAC0AIwAJAAcADQALAAMA+f///woACgD8//3/9//x//T/9v8AAPz/+/////n/8f/h/+L/6f/g//X/9v/e//D/tf+4/9T/2P/c/9b/5P/Z/8T/2f/v/+X/4P/6//P/9P/5/wMAHgAmACYAPABJAEcATwA9AEoASQA+AFQANQBCADQALQBLADwAPAAuACAAIgAVABMABgDy//L/9//m//3/9f/m//L/8v/9/wgADgAUAAYACwAZABYAIgAvAB0AEwD7//7/AAD9/wYAEwAMAAcAAgD+/wAA7v/p/+j/3//Y/7T/xP/Q/83/0//U/93/7v/3/+7/8P/p//H/CAACABgAGwAfAC0AKAAnADIAJwA7ACQAGgA5AC0AMQBFADoAPwA1ADEARAA4ADEAKQAgADwAKAAhAA8A6//s/+b/4P/k/8n/uP+4/63/s//N/7n/zf/U/9f/3v/L/9P/7f/O/9f/5f/e/wEA8f/9/wsABAAZABMADwALABQAFAAUAAIACAAEAAYA+f/s/+H/2f/Y/9z/2v/W/9n/2P/e/+T/5//1//X/BQAaAA8AJgApABoAIgASACYAKQAnADMANwAxAEIANQAkACQAJgAfAB0AJgAiABgAHgAZABEAGQAKAAUAIgD6//f/+P/1/xEAFQAZADAAJgAoAD4AQwBPADgAMAA2ACoALAAmACUAMAArAAwAGAD5/+v/7f/g/+T/z//T/9L/qv+r/7X/vP++/8P/yv/J/7//zP/M/9j/8P/n/+v/BgAAAP7///8NAAwAFQAaADMAOgBBAFIAQwA/AEYAQwBOADsAMgBDAEwAMgAuAC8AKgAbAPb/9v/x/+P/6P/n//n/5P/n/w8ACAADAA8ABQAIAPP///8BAPj///8AAPn/8v/x//L/9//r/93/8//7/wgAAwAPABoADQD///z//P8JAPD/7v/4/9//8P/v//H/7P/G/83/1f/U/8v/1f/H/9r/1//f/+r/5f/p/+f/5v/W/9f/2P/c/+f/6v/7/w0AIgAZAAgAHQAPAAcAKwAwAEwASABIAFUAWwBgAGAAaAB1AHsAfQCAAGYAUQBWAEMASgAmAAwADwACAAAA+//q/+v/3P/i/9r/z//f/9X/xP/K/7n/y//T/9j/3v/y//3//f/4//j/EwAkACAAHwAoACgAFwAiACkANwAhABQAGgAKAPf/5P/v//H/4v8EAAIADQADAPz/GgAPAAwADwABAAUA+f8AABEAEwAIAP7/BAARAPf/8P/7//n/8f8IAAAACgD+//b/AgD+/wMAAwAHAAIA7f/s//X/9P/3//b/6P/3//n/BAATAAcA9f/v/+H/5v/F/8n/3//U/+X/AAAAABoACwAQACkAGQAWABAAHwA0ABoAMwA7ADQAOwA1ADYALAAnAA8ACwAPAAUAFQAAAAQA7f/d/+j/6f/k/9D/3v/m/9P/7v/7/wEA//8AAPj//f/z//L//P/y/+v/3//Y/+r/4f/e/+T/6f/7//n/9P/4/+X/1//m/+L/6f/h/9z/6//p/+r/5v/h/+n/9P/o/xMAHgAhACgANAA6AD8ARABbAG8AcQB0AHwAeQBgAEoAOwAdABQADgD1/+z/7f/l/+r/5f/t/+X/0f/F/9P/zv/j/+L/5//2//T/FgAqAA8AGQATAAcADAAJACAAHQAHACUADwAAAAcA7f/e//D/9f8AAPf/8v8FAAsABwAJAAsAGQALABIAHQAZACAAEAAQAB8AGAAfAA8ADAAOABYAIQATABIADgATAAwAAAAEAAYAGgAIAA8ABgD0//7/DgATABMADgAUAA4AHgAcACMAMgAqACsAKQAwACoAGgAlABMACgAAAPb/AQD4/+j/+P/q/+j/0f/U/+j/2f/e/+H/5v/i/8D/0f/F/7f/wf/H/8v/0v+6/7//zv/N/87/1//l/+7/9P8EACQAIwAgADMAQABNADwAOgBNAEYARQBKADAATAA2ADMALAARABoABgD1/w4ACAAVABAABwAEAAQAEwAHAAAA///5//f/8v8AABEADgAHAAUABwANAAcACQD//xIADAAcACIAEQANABMAGwAYAAQA9//q/9X/0f/L/8r/2f/S/+z/9//t//r//P/w//H/8P/g/+L/3f/m//v/6P/0/+P/0//l/+j/3//m/+P/9v8AABEAHAAdAB8AHAAaADcANQA1AEAANwA6AEwAUgBTAFQAWgBcAFEAVQBUAD8AVgBDADEAKwARAAwABQD//wcA+//w//X/8f/y/wYA9f/m/9L/2f/R/8n/0P/M/9b/3v/W/+j/8//k//D/7v/q//v/8P/6/wQACwAOAAwAFgAOABsAIQAMAAEA/P8KAPr//v/j/+L/0//X/9T/wf/S/8z/2P/P/9D/1P/M/+T/1//1//T/5/8NAA0AGwAoAC4ALQAsADAAJAARAAsAEgAVACYAEgAVAAYA/v/q/9b/4f/m/+j//P/8//T//v8bAA0ACgAIAAMAEgADABkAFwAVADgAQwBTAFYARwBDADsAMQBGACUAMwAtABgAIAAoABYABQAGAP7/+v/2/+3/7f/i//D/8P/z/wIA7f/2//H/5//n/9P/4P/j/+H/6P/0/+3/+//4//3///8JAAoABAAJAA4AGQAWADYAOAAzAD0ANwA6ACoAMAAyADYANgAwAB0AIwAUAA4ABQD5//n/6//e/+D/yv/N/+P/4v/Z/9//4v/f/+f/8f/3//H/7f/2//3//P/y/xAAFQAVAAsACgANABgAGQAIAAsACwD6//T/9f/1//r//v/3//D/5//m/+///P/9//T/8f8AAPD/7//i/+r/7f/o//v/DgAJAAYA9v////P/5v/4/+7/8v/v/+X/9v/x//H/8v/u/+H/5P/o/wsADwAZAB4AGQAaABkAFgAaAA8AEwAcABwAKgAkACMALQAnACEALQAdABMAFQD//wsAAAAEAPj/+//1/w0ACAAFAAsA+v8RAAAACAASAAQABgADAA4AGQAXAAwAKAAqADIAKgAtADAAFAAZACYAFQAZABIADQAWAA4AAwDy//L/8f/h/9n/1//S/8//xv/G/9j/0v/g/93/6//3//z//f8EAP////8KAAQAIAAoACEAPgAwADEAMgA0ACIAGAAIABoAGQD6/wAA7v/9/wcABwAIAPv/9f/7/w4AAAASAAgABQABAAMACQADAAoABwDt/+f/2//N/7//wv/W/8//xv/X/9H/2P/p/+n/4P/z/+b/4f/j/9n/5v/t//z/AgDy//z/+v8AAAcACgARABIAFQAqACkAMQAqACoAMwAuAC8APgAzADAAOQA+AEAAUQBCAC8ALAAgABQAEgAQAPf///8PAAoADQAGAP3/8f8EAP//AAD3//7/AgDz/xMAJgAmACgAJgA0ACQAIwAYABUAGQAPAPX/9/8AAOn/5P/d/+D/2v/K/9j/yf/K/9X/zv+z/7n/vP/L/9z/3P/q/+f/7//3//T/7P/g/+r/7f/9/wQABwDy//T/8//8/wIACgAZADEALQBGAE0APgBHAFEAXgBuAGkAZQB0AFwAYgBcAEkASwAnACcADAAZAA4A/f////j/6//j/93/zf++/7n/uv+//7f/0//T/9X/4f/U/+b/8//q/+7/8//+//T/BgAFABUACQD5//3/8//6//f/AQAUAAkAEwASACEAFwAJAAQADQAbAAwABgABAAUA/P/9/w0A9v/t/+f/8v/u/+v//P8FAAYA+f/6/wQA+//8//H/AwD5/wIACwAFAAoAFwAjABsAGQAaABwALQAyAEUANQAsACgAEQAQABEA///9//L/7v/u/+7/5//k/93/6P/y//H/7f/z//j/DQAGAAAA+f8OAAoADgAaABwAHAAlACEAHAASAAYACwAAAAAA7f/d/9z/1v/a/9n/4v/Q/87/xv/S/8P/t//K/8X/yv/o//T////6//z/CQAgABoAFgAgACYAHgAiAC8AKwAtAC4AHQAqABgABwABAP7/+f/u/+r/+v/7//f/DwAVAA4AGAATABcAAwACAA4ABwARACAAFQAtACwAJAAhABoAIgAeABYALQAiABUADgAMABoAEAABAA8A8//y//X/8P8BAAAACAAWAPv/CwAZABcAHgAYABEAGAD6/+//+f/u/+r/4f/l//L/4P/z//X/9//4/wEAAwARAAkACwARAAAA9//y//T/+P/4/wUABAD//wYABwD//wEA+v/9//r/5//q//P/5P8EAAgACwAJAPz/AAD//wQADAAFAAUACwAOABkAHwAFAAIA7v/z//3/9//z//n/CwD8//j/BQAMAAMA/P8DABAAJwAiAB8AGwAXABQADgAKAAgA8f8DAAEACQAIAAkAAQAMAAUAAwACAOv/6v/s/9r/0P/V/8T/wP/M/83/v/+8/8f/xP/O/9n/2//U/+z/9P8DAAEAAwAUABQAFwAlAC0AMgAnADAALwAsACkALwAVACEAIQAaACcAEgAIAAAABgARAAUACAAAAAAA+v///wMABAADAAoABAD6/wcABgAJAB4ADwAbAB8AIQARACEANQAzACcANQA0ACcAJgAiACYAJQAcACYAJwAfABsAGwAgACYAGQAPABUACQABAPn/8P/4/9n/5v/R/9z/7P/e/9L/2//G/8v/uv+u/7H/sf/D/9T/4P/p//r/AQAFAA4AFwArACcAKwBDADUANQA/ADoAUQBMAEYAPQAyACkANQA2ADkAMAAqACkAHgARAA0ACgAVAAcAAgD3/+L/1v/g/9z/5//S/9b/2v/M/9r/0P/R/9H/yv/E/8b/z//I/9j/0f/U/8r/1f/o/+7/9v/+/wcABAD///j/8f/u//X/6//s/xYA/f8MAAkAAgACAPb/7//0//L///8BAAIADwAIAAMACQAAAAAACQAcACAAJwAqACwANQA+AEgARgA6AEMAOgBGAEkAUQBHADQAQgBCADQAPQApACMAGAAWACAAFwAQAAgA5f/p/+L/6P/p/+b/6//r/+3/+v8CAAEAAQALABkAIQAZABcAFwATAB4ACwD7/w4A7P/1/+v/3f/Q/9X/1v/R/8X/0//V/9D/3P/f/+n/6P/u/+H/5P/v//T/AQABABIACgAMAAAAAAADAPn/8v8HAP//DwAVAAgACQAHAA8ADwACAAUAAAD9/w8A///5//r/7v8AAPX/9f8AAAIA5//t//H/8f/q/+P/5//t/+D/7v/2//H/BAAEABQAAAAMACAACgAqACYALAA0ACoAIAAgABAAIgADAAAABAD3//L/9P8DAPr///8EAA8ACAAAAAYACAAMAPn/DAAIAAgABQASAAQABgAMAP3/AAADAAAAEAABAO7/7P8BAPv/6f/e/+D/2P/e/9X/2v/t/+n//P8IAPr/9/8AAAAABgAVABcAJAAdACEAFwAZAB4AIAAkACYAGgAaAA8ADQASABUAAwAKAP7/+f/3/wcAIQAJAAwADgD9//j/7//v//b/+/8BABgAFwAaABkAHAAcAB4AHwAfABUACgAQABgAEQAHAPf/7//c/9//3v/f/9z/1P/a/+v/2P/a/9z/3f/v/+b/6//y//H/AAAAAA0ADgADAAYAGAATACAAFQAVABYAEAAXACIAJwAZADkAOQBGAF0AYABZADgAPAA7AEgAQwA9ADcAMAAPABQADQAHAAAA9//0//n//P/t/+f/8P/k/+T/2f/c/9L/zP/Y/9//4//h/+3/9P/t/+3/8P/0//D/9f8DAAwA+/8JABUACAADAA0ADAANAAMA//8EAP//AAASABYAHAAOAP3/BgD+//v/9f/q//b/5//m/+b/6P/m//3/9f/6//z/8//z//r/BwAIAAgAHQAOABsAKAA3AD0ALABDAEoAPQBJAEsAUABQAEMANQBEADEAKwAbAB0AHgAaABMAEAD5//T/9f/w/+7/7v/w/wAA9v/t/+P/2v/f/+f/3//U/9X/wP+x/8j/zf/R/93/3//R/+T/5P/k/+n/6//v//T/7v/i/97/4P/d/9n/1//v/+b/7/8AAA0A/v8AAAMAEgAOAAsAFQAWACkAHQAiACwAJAAhABkAJgAkABUAGAAdAAkACwAbACAAGQAbAAsADgD1/+3//P8IAA8ADgAmADAAIQAmACIAMAApACAAEgAhABMABAAQAPP//P/5//v/CAD//wAA/P/6//b/9v/g/+j/6P/m/9n/8f/w/+b/2v/g/9//2//7//L/9v8BAAgAHwAcABEABwAMABcAEQANAB8AEwAcAB4AJwAaABUAIAApABUAJQAnABwAIAAYAA4ACgAAAOz/8v/4/+//6//p/+z/5P/e/9T/1//d/+P/7f/3/+f/9//3//X//P/0//P/8v/s//P/9P8DAAYABAAOABIA9f8AAAgACgAUAA8ADwAaAAsABgAIABIAFwAIAAsADAD0//X/6//t//T/4f/g/+D/zv/X/8n/2P/f/+X/8f8CAPz/AgANAAAAGQAhACkAOQArADMAJQAtADMANAAlACIAIwAZABgAEwASAAQA///+/+3//v/2//T/5v/1//z/CgAAAPn/CAAGABkAJgAlADUAMgAoADMALwAyADQAIgAvABgAEAAPAAwA//8AAAAACAD8//v/7P/r//f/7P/0//j/6v/r//f/+P/v/wYACAARAAoADQAXABQAHwApACkALAAsAB0AIAAUAAoAHgAYACIACwAMABQADwARABgABgD7/wIA/v/j/+L/4P/h/+f/7//k/9j/3//J/9X/3f/h/+r/0v/p/93/7//s/+P/7v/4/wAA7//u//X/9/8BAPj/AQD6/wcAAgADABAACAAgACkAHwAjAC8AJAAlADAALQA0ACcALwBJAD8ATwBZAEsATAAiADUAKgAlABYAFAAbACEAFAACABMABwAMAPb/8v/q/9D/0f/R/9//2v/w/+T/AwD4/+b/8P/9//7/AwAKAAkAAgAAAA0A9f/2//f/+P8AAOf/+P/y//L//v///w0ABwAAAOv/7f/0//r/+f/m/+j/2v/X/9n/6//z//L/3f/9//j/8v/7//n/8P8AAAEADwAGAP3/DQAGAAsAFgAnACUAJAAnACgAJQAbAB4AEwAsACAAGQAcABMAFwARAAAAEwDu/+f/8v/c/97/1//Y/9P/z//L/8D/zv/O/9P/0P/m/9z/1//g/+n/8f/3/wAADAAOABgALQA/ADQANAA8ADIAGAAZACYAIwAeACIAIgATAAEA+//6//b///8MAAkAGAAZACQALgA8ADkAKQA0ADQAHwAjACAAIwAgABwAGAAqABEADQAOABkAFgATAAoAEwAIAAIADQABAAAACAALAAMA+v/t//X/+/8CAPz/+/8AAO7/+f/5//r/9f/3/+3/7f/r/+L//P/y//P/7//i//X/6P/v//f/9v/o/+z/4//7/+j/1//s/9//7v/m/+z/9P/b/+n/5v/w/+7/7//2/wQA7//l//P/7v/4//j/+P8FAAcAFQAVAA4AHQAkACkAOgA4ADcAPQA0AD4AQgAsAEIAOQA7AFQASwBJADUAIwAjAAsAAAD9/wIA9P/x/+H/1P/L/8f/yv/P/8z/2v/H/9X/z//E/8//zP/V/9v/6f8CAPj/7f/7//r/BQAEAP//BQD3////BQASABYAFQAdACoAMQArAC4AJQAuADMALgA2ACwAKQAgABsAGQAiABgAGQASABEADQALAAYAAAACABkADgAKAAIADwAUAAUADgAKAAUA7/8DAAAAAwAOAAsAIAANABkAEAAUABUADgAEAAcA/v/1//b/9f/v//j//P8EAOv/8f/q/+P/6//n//T/+f/2//T/AQD8//v/BgD+/xEADwAeACUAGgAhACUAJgAiAA0AFQAZABEAFgANAP//AQDw/9b/3P/V/7//0f+8/8f/vP/F/77/vv/K/8//2P/j/+v/7f/3//b/+P8TABcAHQANAAYAAQD8/wMABgAXABMAGAAnACMAIgAZABcAGgAZABAAFAAUABoAEAASABUAHwAPAAAADgAEAAIADAAFAAkA/P8CAAcADwAWABAAAAAbABcADAAjAA0ADQAMABIAFgD4//3/8P/y//3/+v/6////8//u/+3/7P/z//n/AAD0/+v/7//r/+L/6f/t/+z/+//1/wIA+v/6/wYAAADt//n/9//9/w0AEAAJAAcADAAXAAQABwD9//D/AQAFAAYACQD6//b/AAD+/w4ACgAJABEACwAgACwAJwAzADwAPABOAD0APQBEADwAQAA7ACwAOwAjACIAEwAKABkAAQAFABAAAwAFAP3/9f/5//D/9P///+//9f/3/+v/+//w/+v/9P/p/+D/5f/p/+H/4v/d//D/3f/g/+r/8P8EAPP/9P////H/+P8MAA4AIwAhACEANAAVACMAGQAdACQAIwAdABAABQAJAAwAAQAJAAMABwAMAPr/+v/6/wIA+f8EAAQABgAAAOr/9P/u//n/8P/p//H/5P/7//L/8P/w//L/7/8JAAIA+f/+/wUADwAAAAYADgDv/+v/7P/w/+//6//t//j/4f/V/+T/3P/u/+v/6f/z//L/8f/r/+P//P/4//3/GQAOAAwAAAAHAAwAGQAdACsAIwAwAC8AMAAxAC8AHQAVAAoABwANAAwAEQAUABAACwALABQAFQAFAAgAAgAEAAwABwALAA4ADgAQABAAEAAaAAMAEQAKAA8AFwASABYAEAASAAcA+//8////CQAGAAkA+v/+////8P/+//r/6//w/+r/8P/p/+b/+P/1/+//AgD8/wEABQAAAP//BAACAAsABgAMAAwACAAGAAcADwAPAAUAAwAKAAwADgARAAoAFQAVABIAFQAWAAgAAAAHAAIA9P/z/+f/2P/g/+j/5v/y/97/5f/w//H/+//7//X/AAANABIAEgAQAB4AKAAUABsADQAZABwAHAAbAB8AJQAWABoAEAAOABcAGQAOAAQAAADn/+n/6v/h/9z/0v/O/8b/pv+p/7P/sf/C/8r/zP/a/8z/zv/a/9v/5//r//D/BQD8/wsAIwAhAC0ALQAkADgAMAA4AEUASwBEAEwAPQBCADMAJwAoAB0AKQAiABoAEgALAAcAAgDu/+v/8f/u//X/7v/u/+//7//5//r/+P/+/+z/9v/6/wkACAD9/wAACwD7//v/AAAFAAkABAADAAMA7v/9//z/9//0//T/8f/h/+f/2P/j/+P/3//x/+///P/0//L/AQAUAAoADwAXACgAGgASACkAGQArACQAHAAtABcAJAAlABoALAAdABoAMwAOAAwADAAFABYAEAANABoABwAPABYAFgAdAA8ABwAOAAgAAAD//wAA/f/5//r/BAD0/wAADAACABMADAAJAA8ABQD7//v/+//1/+X/4v/0/+b/5f/V/+3/+//s/+7//P/t//D/9f8BABEABwD//wcA/P/+/woAAwAMAAIAAgD3/+P/3P/V/9T/zf/L/8//4P/W/9H/1//h/+H/6P/5/wAA/f8AABIADwANABIAHQAdAAsACAALABoAEgAHAAoAHAATABUAGQArADAAKAAzACwAIAAgACIAKQAwAC8ANgA4ACYALwAnAC8ANwAlABsAGQAKAPv/+//5//b/9//w//X/4//V/9j/4f/h/+P/4//o//X/7v/4/wYACAACAAUA/P/8//v/+/8XAPz/+/8AAAQA+//6//r//f8EAPf/9//+/+v/0v/b/9j/3f/Y/9b/8f/b/+v/4//l/wAA9v8MAAQAAAD6//r/CwAHABIACQAKAAcAEAAPAAUADAAVABwAIAAVAA4AGAAUACEAJAAhACgAJgApACoAHgAdAAwABgARAPn/AgAJAPf/+f/s/+D/8P/m/9n/0v/Z/9r/1v/X/+P/0f/R/+H/0//c/+L/6f/9//H/+v8KABUAGQAYACMAHQAQAAUAEwAhAB4AFQANABsAAAD//wcADQAMAAAA/f8IAPv/AwAKAP//DwABAAcADQAAAPj//v/9/wUADwACABMAAwAJAAsAEAAWAAoAFQAaAAoACwAKAA8AHQAQAAsAGgAAAAAABAAWAAoA/f/8//T/6//r/+7/2P/u/+P/6f/6/9//6P/q/+//+f///wEACwD4/wUAFQAeACsAIQAjAC8ALQAqACMALAAnACsALQAiABsAEwAOABwAIQAOAA0ADgABAPb/7v/2//T/9f/t/+z/4//k/9v/7//0//f/+v/3/wAA7//8/wMAFgAcAAoAFgAGAPr/7//1/+3/9P/2//T/+//t//P//f/y//j/9v/+//3/+v8CAAAA/v8KAAkAEAAAAAEADAAZACEAHAAZAB8ADwADAAwACwAHAAsACwAMAP//AAABAAkABQD///3/9v/w/+H/2P/I/9f/4v/N/9P/0f/P/8X/3f/l/+X/4P/s//H/4v/i/+P/9f/9//f/EwASAAgAEQASABsAHAAhACkAHQAfACYAJQAiABcAHAAwABgAHgAXAB4AKQAfACUAJgAoABUADwAQAAwAGQATABcAAQAOAA0ABAAQAAsAIAAVAAcABQAKABMAEAAMAAsAGgD7//f/+P////7//f8XAAwABAAMABAAHgAYABkACAAJAP//8P/9//H/6f/h/9v/2f/J/8f/z//R/9H/1v/P/97/1P/b/+T/6P/r//L/AAAMAAQAEwAbACMAKwAgACQAKwA1ACUAJAA3AC8AKAAWAB8AEAANABYAEgAXABMAFQAcABEADwALAA0ADwARAAkADgAIAAMADAAFAAMA9P/y/wAA9v/7/wkABAD8//r/9/8BAPn//v8AAAIA/f/y/+z/+v/x//f/AgAKABYADQANAB0ACwAQABwADgAPAPb/7P/z/+P/7P/k/+b/6//a/9z/5f/L/8//3f/Y/+3/3//d/97/1//h/+//9v/4//b//v8IAPz/CwAWABkAIAAiACcAKQAQABYAJQAoAC8AKgAqADQAKgAhACkAHQALABkADwAdABUACAAXABMADwAAAPz/AwD8/+//6//m/+T/5v/l/+v/3//h/9z/3v/k/+b/6v/t/+3/5v/2/wAACgAVAAMAEQAOAA8ACgAEAA4ABgAIAA4ABgDz//f/CAD6//H/5v/2/+n/7P/y/+//7//z/+//9//5//b/CAAJABwAGQASAB4AGgAfAB8AIQAgACkALAAmACQAJwAWABYAHAAOABMABwDy//j//P/z//7//f/u//f/+f/2//r/BAALAAoA//8OAAkADgAUAA4AFQAUAA8AGgAWAAcABgARAAwAAQAAAAsABwAEAA8AFAAQAAgAFAASAAkACAADAAcAAgAAAPj/AgD6//3/DgANAAYABgAHABUABgAKABIAEwAaAAoADgAXAAcAAQACABIACQAJAAQACwAHAP//AAD6/////f///wAA7f/r/+v/6P/m/9P/3//V/9H/0f/L/9P/xf/g/9j/3P/j/+L/+P8AAAAA/f/+/wAA+P/5/wAABwAHAAAA/P8FAPz//f8IAPz/BwAFAAAAEwACAPz//P8EAAsADAATABEADgAEAAUAEAANABEABAANAAUA9f/+//n/9//3//b/9P/x/+f/7P/r//P/8P/7//3/6//+/wYAGAAQABAAGwAwADQAMgBQAEUAQwBOAE8AXgBFADMALgA6ADYANwAuADsAIwAMAAwACAAFAAEA9v/z//P/7f/r/+L/8//q/+P/8P/X/9H/4f/V/9f/2v/Y/+X/3P/h/+P/7f/w//L/+v8DAAEA/P8JAAYAEQAXABcAHgAYABkAIwAtACwAJQAoACwAKQAiABQAHAAQABEACwAJAAcAAwAFAAAACwAFAPv/AwD8//X/9P/v//H/AADw//3/AAD9/w0ADgAfACoAIQAlACEADwAQABEAEwARAP///P/x//T/6P/i/+D/2P/d/+D/z//T/97/5P/k/+P/6//0/+n/7//q/+7/+v/s//j//f8AAAUAAwAHAAIABwAKAAoAAAAEAAoAAgAKAP7/9/8BAPj/8v/z//T/7//8//X/9f/v//b/AgAAAAYADwATABgAFgAYABsAFgAgACUAIgAkABgAFAAVABoAEAAIAAkADgAMAA0ACgD+/wsABgAAAAkAAAALAAgABAARAA4ABgAOAAgAAwAAAAYABAAAAP7/9//1/wIABgD///7/AwD5/wEA/P/5//f/9P/6//z/CwAHAA0AFAAdACUAEQAUAAQADwAWAA4AHQAPAAgACAADAAMA9v/6//b/9f/6/+7/4P/y/+v/5f/y//X/+P/1//T/AgD2//P/AgD8/wUA/f8FABUACgARABEADgAQAAwAFAAqABEAAAAAAAMABAD7//z//v/x//P/7f/4//j/6//3//3/9P/q//P/6v/t/+T/5v/6//D/+v/6/////f8AAAIAAAD9/wMADAAJAAsAAAAAAAgA+//5/+j/7P/5//j/9v/+//T/7P8EAAEA+f8DAAYACAADAAgAEAAHAAYADQAKAAsA//8AAAQACQAPAAYABgAVAAUACAAPAAsAFgAYAB4AIQAoAC0AKQAvACwAKwAtADcAKwAiAC0AJgAhABsAEQAWAAcABgAAAAEACAAAAAEABQACAPX/+P/v/+X/6v/e/+P/2//X/97/4P/s/+T/0f/U/9D/0//b/9z/4v/n/+v/+P/1//T/+f/+/wAACAANABAABgAIAAoAGgAhACMAIwApAC8AMgA2AC4ALQAfACgALgAgACcAIAAkACgAHwAbABsAFgAVAA4ACwAJAPn/9f/5/+L/4//b/9n/2v/Z/9X/2f/Y/9f/3v/d/+b/5P/m//v/8v/s////CgAJAAsAEgAQAAIADgASABIAFwAMAA4AFQASABAAEgANAAcABwACAAgA7v/k/+7/5v/h/9f/4P/e/9n/3//W/+L/6f/n/+j/9v/6////DAAbACsAKwApADIANgA7AEgARABFAEIAQgBAACkAJgAvACwAJgAXAAoAFwAGAP7/AAAKABIACgACAAMAAAD4/wAA/P/4//X/+v/+//v/BQAHAA4ADQANAA0AAwALABcAFQAYABYAEAAGAAUA/f/6////+f/t/+v/3P/l/+H/3P/n/+b/5v/V/97/5//h/+X/7v/2//H/8f/u//P/8P/t/+z/6f/v/+r/7P/7/+v/8v/y//z/AAD8/woABwADAAcABQAFAA4AEwAOABcADQAMABsAHQAQABEAFQARABgAEgANABQAEQATAAwADwAJAPz/AAAAAAAACwAAAAAAAAD/////9//6//H/7v/7//v/AQD5//j/BQD5/wIADQAFAA4ADAAWABYAEQAGAAYAAQD7//X/+v8AAPr//v8AAAgADgAYABIAEwALAAkAAgD6/wYACAACAAgAEAABAAUA+P/6/wQAAAAAAPz/8f/x/+f/6//w/+b/9P/4/+n/8P/q/+r/+P8CABUADwAPABUACQAKACAAGQAfACkAHAAjABEACQAWABMAGQARABIAKAAiABIAEQAbABMADwAPABQAEQALABQACwAJAA8AAAAHAAAAAwAMAAQAEAAFAAgABwAAAPb/7v/u//P//P/o/+v/1//U/93/3//o/+T/3P/m/+X/3v/n//X/8v8AAAMACQAXABAAEwARACAAGQAUABwAFAAPAAsADgAIAAYAAAAMAAYABAAJAAQAAwAAAAMABQD3/+7/+/8DAAMAAQD1/wcABAD1/wYABAANAAgABAAfACYAGAARAB0AGwAXABkADAAAAPf/BgAFAAEAAAD1/////f///wcAAwAYABgADQAdAAgADQAKAA4AHgAJAAUABgD5/+T/6//s//P/8f/k/+b/2v/j/97/3v/1/+z/8f/3//X/+P/w/wAAFAAKAPv/BgAFAAQADwAQAB0AIAAbACcAGQAUAB8AIgAlACoAKAAuACUAJAAdABkAHAATAAkAAQD1//X/8P/y//z/8f/u//D/5P/q/+r/6v/z//D/6P/7//7/9/8KAAIAAwAMAAcADQAVABUAFQAfABoAFAASABsAGQAGAAcA///3//b/6P/n/+H/7P/u/+f/7P/o/9v/3P/Q/9n/2f/Z/+//6v/z//f/9f8HAAkAEwAiACAAIQAiABoAEwAlACEAJwAaAB0AMwAjACMAIQAlACIAIgAYABsAHgAYAB8AHgAkABQAEAAbABYAEQALABEACQAFAAIAAAD2/+f/7P/u//D/4//d/+P/3f/R/9n/1//a/+b/2v/e/9n/4P/r//j//f/0//n/+/8AAPT/9v/5//z/9//3//j/7v/0//f//P/4/wcABAAIAAgAAwANAA4ADAACAAoAGAAJAA0AEAARABgACgACAAcAAAACAAEABQAAAPn////9//r/8//6//v/9P/7//v/AQD5//f/CQD9////DAALABQAEQAYABUAGwAgABsAHAAYABoAGQAqACIAIgAjABIAJQAVAAsACgAMAAwABAAAAPz//P/2//3/+f/9//v/+f/8/+//8v/+//b/9v/8//D/CQAFAAgAEAABAAYAAQADABIACQAAAAoACwAHAP3/+f8CAPn/9f/0//7/9v/r/+b/9//w/+z/9v/s//L/8P/z////8v8FAA0ABwANAA8ACQAcAB8AEwAcABwAIQAdACQALwAnACwALgAvADYAKQAYACMAGQAZABUAFAARAA4ADgAUABEAAAAHAP7/+f/3/wEA///0//z/BgD+//P//P/v//3/BQARAAkAAAAAAAAA9P/s/+7/5//l/+7/7//i/+b/6//v/+P/3//j/97/6f/m/+z/4//m//D/9v/7/+//+P8JAAQABQAaABcACAAVABkAJQAhACoAJQAqACQACwALAA0A/v/z//z//f/4//f/+P////3/9f/4/wUAAgD3//r/BAD///7/CQAKAAwACAD8/woA///4//////8MAPj/+/8SAAcA/v8EABIAAAD8//3/+v/3//j/BgAHAAUA9P/9/wwACAACAA4AEwAVACQADAAcAAwAEgAbABMACgD0/wMA9f/u/+n/5v/s/+P/2v/e/+//5f/Y/+j/7v/v//j//v8RAAAA/v8NAAsAFwASABoAIQAZABQAGwApACAAHgAVAB4AGwAMAA8A/P/1/+3/9f/3//T/+v/1/wEAAAABAAEACQADAAAABAAEAAAA8v/9/wgABQACAAUADQAOAAMAAwALAPz//f8GAAcADgD8//7/DQATABEAGwAjACAADwAAABMABwACAAkACgAHAP///v8MAP7/9f8AAAYADgACAP//BAD//wIAAwAOAA4AAgD7/wYAAQD9/wQA+/8IAAEAAgABAPb/+v/3/wYAEAAFAAYABwAIAAkABQAFAPT/8v/z//v/8f/4//n/8v8AAP3/9v/5/wAA+//2//b/+v/7/+v//v/3/+P/6f/l/+T/5P/n/+z/5//h/+7//P/+//P/+/8KAAIADwAWAAwAFwAZABsAHQAZABMAGQAtACwAHgAjACsAHQAeAB4AHQAZAA0AEQAJAPr/9v/6//r/6//1/+v/6f/p/+H/6f/m//P/7P/p//L/6//8//v/AQALAPP/6v/v//b//v/w//f/+P/0////+f/t//r/DwAZAAwACgASACQAGwAFABQAEQAMAAUAAAAOAAMAEgALAAoACwD9/wAABQAAAP//CAAPACEADwARACAAEAAjACkALgAqAB8AJwAjABAAFwAjACkAKQAhACUAIQASAAgAFAAIAAwAFAALAAUA8P/7//z/8//8//j/8P/7/+z/2//g/+b/6P/X/8//2v/U/8z/1//Z/+D/5v/q//L/8v/n/+r//v8AAPf//v8IAAIA+////xYAFAAOAAwAFwATAAsAEQANAAgAAAAAAAEADQAMAAcAAAD//wIAAAAHAP7/AQAPABkAFAALAAEAEQANAAYAEAAQAAcACQD+/wAA///y//X/9P8CAO3/0//m/8//zv/X/8X/zv/b/97/+v/8//7/BwAAABEADwAJAC4ALwAsADkAOgA6AEEARQBMADoALAArACYAMgAhAAwAGgAGAAUACgD3//X/7f/f/+L/5P/m/9//5//s/+j/6f/y//D/9v/4////AQABAAkAEgADAA0AGwAVACQAFgAQAAoACwAcACAALwAwAB0AGgAhAAkACQAQACIAIgAlACgAJQAWAAYAEAAJAP///f/2//X//f/v//P/DAAAAPP/3//h/9r/1P/d/93/5P/P/8T/x/+//8P/0f/W/97/3//c//r/9f/y/woAHwAWAB0AHwAjABkAFQAgACIAGQASABUAJQAIAAMADgAAAAAA/f/8//v/7v/l/+j/+v/0/+T/4v/p/+b/6v/o////DQASABUAFQAFAAQAEwAcABAADQARAB0ABQD0//T/AAD+//X/9v/x/+X/6P/c/+z/6f/m/+D/6P/o/+j/8f/t/wEAGwAVACsAFQASACIAKwBHADcAHQA2AEEAMQAlADAANQAaAAIAGAARAAQABQAIAAkADAABAP7/9f/s//b/FAAQAAQA9f/y/+n/3v/k/wsADgAJAPX/6f/b/8T/3/8FAPz/+v/9////8P/r//v/AQAJABsAHAAbAB0AFAAhACcAIQAyADkAPQAuACkALwA7ACYAKwALABAAGgANAPX/CQAQAAgAEAAlAAwA8P8VABUAAAATABUAFQABAPD/6f/a/+f/+/8QAAwAAADa/6H//v/7/+f/7/8QAAIAAgAdAPX/+/8oAB0AQgAVAPP/6/+q/8//+v8CAB8ACgAJALX/j//q/+T/BAA4AIQAUgDz/wwA8v8oALP/sP9SABIB6AAnAEkAIwA9AEYA8/+NAEkA2/+//5j/Zf9R/6j/z//E/33/xP7K/p7/6f8XADEAWv/C/53/XP/v/3f/Sf9C/3r/zv/K/+L/QAA1AFX/3f6bAC8Ckf6F/YMDEgMV+zL9rgwMHFQAx/BJBrAD3/6UA/X6KP9vAvzz8PxJAyf5Cvrg/ej8lP52AH/2rPnJDk7xJPRKD1r3Mv2d/qIB0Ah183QFmApd9/cLFgfk9tQITAEHEKICGOgBGlX/7PjYFYDs6wLXBqTzUg5z92H+CwVb9MYF4wEk+CD51gqc+zzv8AwF/B8Efv2S61ceIPew67cQLwEbAlf0JwIaEZTrAvp1KxreCO2oLHr16Pyd7LEJ2yVi1wv9sRn18tv98fVQG6MG9daMClkXT/YY8bIEyAuZAfDvWf2fFVD7zvRDCFL/uf3/A5D8VgLt+r36sxJi+RPzOAd9AJwBDQNH9OcAFwv7+ub98/meAoMJU/mC++IBNgTx9Y38OhG3/932xPqwA/AH/fzE+0H/zga//H38SAsu+eP5hgSD/G0JcAR88LUCWwdD/6D/IfS8BAAOrPb5+SMGHf3zANwHbP+28Lj+fQ5k/fv9PP8H+0L/VwW8AQMBaP7z+ZsBWgmG/Lz4oQIl/4QGdAIA9uv3kQzbDen0vvVe/2wDWg02AUjuSv/hDB0Cyvzh+Mr+dwXh/yQIZPlz9mMIowJSAu36GADUAasAdv9C+UwJWAO1+WT/KPoGB9ICzvyLAJj6BwKzAbYBFfx1Aq/7RvxLBYX/iP0hAF4Cuv8DBvL3ugA7ATsBLQT69uj/xgNs/8f9ZQJHARUBtgNA/2D0NAbAAA3/TACv/boK3/hh8zEF8xXG9KLwRgRHBroFMf6n+CH4XQ1XAYX7Tft2/aMKvP/x/R0BN/3sADwFHv7dAsD8Uv25AoACf/x7/ccHQATh+3b1FQVrBeUC0vsB+S4BrwDGAuMB1ACm/REBd//l/Ij6zgYYCGr3NvZY/qwLxf85+jr+tP6uAGr9nwOT/4IDs/0a+4kIB/4s+mj9SwTmBmsA6viy/WAGzwEh+oH/0QbS/b4Az/x2/jEF8f+Z+rv+tP42BYUDYfuQAq74PgKhAN398wCf/JoDygDF99f62wpDCFL70PaR/kUH6QhZ/lT4fPh6BLIMWQJF+PD7YAhgAtX/Evmw/VAJAQLT/TL/e//q/OABZQA4AmT+W/m8/9MDTQM6/Qf87AAVAO76sAOTAe79zAIPA7f/UvlmALEE5v96AeQCt/nT+WIGAAQE///7CgKdAdj7lP8r/AcD3wHUA1wDgP0D/vv8pwBRA0EAzvtC/gQAJAYo/6j7mPz3/iwJ8wGi+bL6gf5pApgGHP8H/WH8BQZpCgT79fsOAtUFPQAG+i/8eQFgA7//dQG4/gv6CQCUBIgCbv1h+Zr+nASOAcL9/Pz3APkCsgCL/H37ZQWdBlsDd/2q+I/+5wWABPf/av3I+2P+ZALS/6X6tP7ZAbYD9QFC/JP86ALzAa39ZQCg+7cCkgWR/aL8qP0GBW0CEv7y/PQC4QMA/Wz7s/8vBEYAfgHt/1H60/9tBJr/ePsq+1cCywWW/+j5TQBbA1v+vv+9Ayz//vlIBP0Dr/wDAFwDPgKFAV7/e/2UAsgA/P1SAFcCtQCb/BT/fQPD/Sb8Rf/rAMr9rvpmA6QEO/70/FoAUwNT/tH7HAQJA5f8uPxQ/roG/ATS/5EBzP/s/cv99v+DA9wDbv+q/rX+hP1MAJ7++/73Ao0AOv5v/74CsP6s/fgA6/9pAPr+Pv6Z/iEDMwSJ/Pv25/3z/wECpQN1/s76n/uVAb8BeAOsAVD9Gf/LAh4CdgMUA1MARgOS//77ZQJ6BPv+Evwt/9AEYgIf/4n+5vsr/iMB//9mA28Dsf+V/3b+YgAFAo/8af/hATT/tP0t/QoA/P9u/rL+AQBp/10BJAD1/or+J/4YAC8ArAC/AWoAxf7TAHQAh/8O/swBgv6E+rb/HwRhA+z+4v7/AbH9uvqh/4oAKgSHAoL8Lv0Y/gkAXANaAGr9lv6XAEsDYAG1/csC/QOA/8f9k/sfAa0FXwPfAOH8a/9MBGkDjAC4/fX/lgB4/zP+pwGFA9L+2/4XAHkA8f/b/OcAiAHL/M39mQDjAcgBIABH/2YAyf/D/6z9E/81AokBLwIYAjIA1/xr/q0DiAUrAM764vn3+/n8IwBQA/gAxAIfAUT9If3v/XUB1AOT/1z8nfti/UgEHQNUAUQA+P+5AjUBp/9cAW8B4QExA37/C/yu/KYAKQWkAiz8rvy0/8wCFACQ+7D7cvwYAP0DlwTs/jb71P7lArcBoQAC/97/ZgHy/kj+fgA+AnkCdv8z/Qf+W/8QA/4AAf57/sD9RAIoA9wAbwBa/Dv8T/3+/RwEkgRlAZL/vP8gAfz9A/2p/4QA+QDm/l3+SwRKAzT/8v+rAjABPPrk/NUCXAV5A8T+gv6c/hz+GQHVAmMAw/0JAR0D+P9D/9L/1v8aABv+nv2D/fb6NPw+AlgEbQDf+ZH6/v/xACMB8QGKAhIBPwCvAFUA+ABiBPsEGwJ0AfwADQE3AuoAuf8AAAQBZQJqAMH+xv8l/9P9Kv4f/Kj8MP9z/sn9Pf5m/vz9A/01/S7/KwIpAWEAPAFZA3oCRP+R/+/+nP/UAAICCwXNBUIBTP7j/dAAYwJ7ARwEXQN4ANj+L/34/sIBuf6t/Yb+VP8jAIb+Lv+qAbz/OgCKAAf/+AC4AJECPgMk/If7cP2n+ln9s/4zANABWfxh+0v88PvE/x0EmgTaA0kAUgGBBJkFMQhIBZoAq/3E/MX9jP8W/u/+Vf+q/KH7Gf3IAOwBOwKh/xz/3gDuAVMANACx//X+6AA8A34CdwHBABf/agAd/5f9R/2M/U7+3f+iAAQBSwOfBZUIGAXFAE7+efwWAHMBP/5A/gT+dP8lAmkBEgFgAED9c/i+9oj4F/ue/HP+uv+m/aP9xv6l/zQAc/6s/YgBrQTdA6UC0ALEAR8BVQICA2ACAwNbAvf/IgDoAVYCZP/i+lT4hvrq/Iv98v6C/Y/+5v/3/RT9Wfsw/PQBcQWsBV4F8wNQAnUDGwWeBKUFXQfUCNQH8ATMBNcGqAk3B1MDJ/5r/I///AFtBN8C9fxb+1r7nvoK/+z+FPyB/Fb7H/ou+kP7Ivzv+gv7w/m19035ZfZx9z/9NP87/0X8ufoW/Un7BvnP+G351vyJ/BP86P9r//P80vws/rQA2/xM+sn9Cv6sAC4Avf2j/cD8C/98BXEFKgInATwAPwLoAckDlQfQCdQL6Q1oD3wQGg9nDv8RcBjsG1IbBhhqFOgW1RREDwkJvAEz/mH9Svys+QL27+9c7Inr6urQ6zvry+0z8AXwNfHR9Yv4LfmM95z0G/Xz9Zj3nvnb+Yv7pPxk+hv6JvkS+Mb4wflx+cX13/N29gn4afZF9yr1i/KV8OLtTfAd9Zr5hf+XAjv/ufli9A75gAjfGkYwDDpmOOg7rD+XPng9NzgcM5Us6yG4HOsYABGIBzX3lu7R6aXgA+Bs3ynf0OBK33XjB+ca50DtOfRn+MX83vul/fAAi/8w//X6qPYa9X7za/TI9c/00fOT88Xxau9F7HvuqfAQ8D3wce0n6STp3erX61bsw+qP6sDu9vJO9rH8V/0b/gv4hfO3/MkUnjTYQSlDGzvHN8w5rzxiQIo+lzZfMhUpUSRyITwVTRGsB6r7d/b45mva59lM2ZbhaeeN59novenK6fnpVfC++QP9xfzX+6T6/v4LAJX+dAE4AGf7VvbP8q7xhPF98GnvIO4P7q/sfen/6I3ov+nW6ZTqoenR6bPtpu727ILuffHY8bL1G/qJ/LH+c/oj92f99BWyL6pB6kNxNCsu5zaTOuU5uDtlN1Y3KzNzI60aPBWdCqMEo/as6XPkXNoR1y3bJOJV5oLn1efv5/Trb/O/+FIAngPgAXYCiAENAaoEnARVA8ECPv8h/2P7ufQI9BvyzfAp7zHqxukD6K7m1Oqy62bqZubc5AznyOeV57fqVu4I8B/zEPY++tz75f9YAIj7TvVK9pwSMzNFSP9Kmz2FOac/yjrWNgU0ITLBNHgwNSTPFlUK8v039pjqheBV3B3Vw9Kz06/UudrI4Qzm8+uI8D30RP4tCf4QlhQBESEPNhCKERUSRA4yC1QHkQMdAVf+HvkC9LfwNeuF5kjem9vl3Ave9uKV5E7liuQJ4NHfFuK0567s+O367tvx1PVb/I4ALQHUAt3+kP4eENAoYTpHQto6djTAOZM7xDuMOrw2hTTILV4h/RVmDjkEl/kf8nfn+d2D19PRKdEL1VTXTNtl4XXo8O9x9Zr7GgOdCb0PXhUhGiQcGBoeF8EVtBEtDlALOwaBAEP7e/d680vvfekR5F/g1N2N2xvahtvG3H3iJOih6IPpJepF6PToWOu+6wXvEfT49+H+TAAs/Nn5kwmgIgI45ELTOYMvAS+lMeU08zf1OqI8XzfILKIfGBIxBof6J+5N6NTiFdnw1IDRjtEl2jDejtwC31/hpeho9oIBZAuQE5EXdhlcGiEZVBnIG6AbYBhQEjgLqwRlAc38Qfq19ZrvaugG4TPcStYR163YCtwz4frjjufX6ZDmXufN6LvtvvFw793ume/C8Rf0AflJ/UMESQ0+H0QxRT6dPKMyUy+BLAYxRDghOOM5EDVgKjAhLxURCND8bPKU6xfmM93219DR6dGe14jaJeGL6f7ttvK69v37kwaPEOUYeRtBGUYY1xUhE3EU3BEkDr4JTgPeAev9zPg79T3vEOrV5ZvfqdqQ2t7cMOK05tbqaeuM6YXmaeUh6G3unPDI8q7y9PKg80zyZPN58d725AOKHdkxZju8N78qTCXkJzUq8S45Nug4SDyqNV4oQRy8EH8Cl/Vp61rn8uHy3UneV+Hd5qroDudP5eHlSesZ9DH73gICC5oPGBSIFa4S3hDlDSEMgwqeBLkAlAEMAaD+gvqX9KzudepH58zii+EI5Ivmx+gl7Ansk+zN7KbrJeuy64ntsO8r8lXyJvJY8zz2+/br9oDvwfLpAw4bVzIhOFUx4ipTI9kgkSN0InAtOjVNN/gz6icnGZUNwf5N9ezxZ+z/6ZHlRuaq6Jjniujb6GzpifAf9B/2AvvI/NgBhgliDD8O7g49DcQLogieBRYDo/+T+jb54ffu9BrzIu9a7nrsfug/6O3oYunT68rvgvKV9SL0VvP88FHwQfO789z20fYy92v29fQA9Efugu79/DkQciH+LMUlch7wHmccxR/qJFUo1DFENaovxShWHs4SbQpGAMX62Pg78mbvV+1i6dPpleht6ATsyu168af20Pi6/D7/GgAnA54DqAbnBzoGvgdMCHcHXgRQAln/PfuW+R75avnV96LzDPEt71bsHO0B8FDxmPFz81T0LPPH8tvxkvG98yb0ePNE9Wn20/Us9d3ylu4V8fL2AQQbDqoTthjsGp4cuBz3G5AfJichKi4swis2KxAorh01FHIMNQWJAWf7sfMy8XrtB+xP7gPt++0L7kbuBfNK9FL2lvi59/77tP0d/ngDJAP6AkgDtwD/AGsAHP5w/f760Pkp+ib5EPo/+XL1//Wj9AX1MvjQ+Ef5HvkE9YHyufBh7dfuZe8T8o3zWvPL8YTvbO3Y6TXoV+65/DgK4hbDHZQe2R3AG90XgBqNIuUoKjG8NvM1XTQ9K+0e/BTjC1gIqAT7AND+TPd68CPsNeeX6V3sb+qe7efvzfOe+NL0NfK08eTvGvUe+TH5nf14/3sAygSeAxwCwf8I+zb6Pvk8+Nz4uPhT+9X9mf2U/QD7dPZA9DnxkPAk8wf01fSH9Hz0X/Q48w3ydPJq82b00vB57Dbv4/UNA4wOlBYsGe0XYhRLD8QPlBWbH3QqyDBeMM0rTyRvGmQSpA0GDTAMiAoGBvv+C/ce8AXt+uyJ7bjuTfGE9C/38vVx8+Pxa/Al8bjz6vfW+/L9OwAOAkECMAHr/Z363fmC+UT6Wfrc+KX5OfsD/Yj++/0k/Zb8ffq39/T04PQz9sX2/ffm96v3gveM9wP6yPmK+D/1TfHG8575/P+UCL4MKA/AELYN+w1wDl0P1RWAGWMdsyHrH8wbjhSyDGEMHAtBCiwKrARQAmH+4fgC+Ir1x/OD9EPzefNE9MnyefSC9oX4WvkJ+Sn6n/lO/Ob/MwHvA/oEowR0Ap7+B/yV/Hv9Bf4n/kj+X/79+2/6h/rh+aX5rfpb+qn7pvrd9wb5Y/rW/c//8QAgATP/Rf3X+836dv3XAIQD0wcgCK4GXgQiAb8BnANICF4M2A91EpARwQ0vCKMD7AOdBmAIeQgxBTUDIgJ7/en5nviq9h73SPYa9fL2FfZ69U72Tfh5+kL85f3+ALoD/wW0BiEEnQL3ACX/7/9ZAIgAeAKrAV4Ay/3I+Ub5MPo8/KD+qf5Q/s796fxw/Wr+//8IAoQDawS+BM8EqQK0/0j+2/19/jL9s/6eAHACawIPAQP/FwC3ALoAhgEiABYDPwaOBxsJ/ggJB1EGVgLS/3n+vPwD/x7/gP/T/wL/4P4P/TT5vPjO+Bj5pPod+139sgBWArsCPgO4AeoAUwKhAYUB/QEvAtIDlwOBAmkBh/+//Gn6J/rP+t77rPxM/RT9bP7g/icAJQGIAToCxQPEA3ABUQDk/ssAfwKIAiUCBwAZ/i7+OP8CAkIEiwPiAaz/4P7U/n/+0P6r/4MAMQFjAXoAuP0y/Tj96/xY/MH8Ev4oAUkBBQCoAOT/wf5p/cz9EgAqA9kEnAR3BGQEGARNA9ICnQLjA+wECgViA7UAXv///lf/z/7y/Q78PfsY+wz8Sv3d/Rn/AQCjAVIBiv+Y/ej9dP5dAIECfgMsAyECeQAS/p79iP2A/eD9cv0p/Qn+mv24/XL+cf5T/hn+ev7U/0IBKgJOA1UDVwNdATT/l/5V/t7+5v8QAFIAggCL/6H/rf55/Q/+cf5dAH8BsgAUAS8BYwFIA64DsQOKA8IBxQGqAhYCWAK5AhoDPQNAAQn/+f3t/Gr7Uftx/Mv9Ff8WAIQBRQKQAZ7+IP0l/TP++v+pAUcCvALlAs4B5P+8/cz9ov6v/xIAtv9o/0z/xP9v/5P/Gf8R/yz/tP7s/uH/egABAboAe/+n/mH+Rf97AMEACwBb/4T/sv9V/7b+Qv/NAM0BigEiAfv/oP/z/wUAEgFBAtwCdwNwA9oCqgLsArsCMAJCATYA4P9s/7r+Qf4l/hn+ov4R/27+yP0X/fH82/zm/Az9+P2G/nH/NgDsAJgBSAE3AeIBiwJCAj4CTQIHA+kDoAMPA9sBdQCM/oj9aP2O/bj9Mv6P/j3+uP1W/Y39Y/71/s//PwDO/9X/3QAgAmcDxgPmAhkCHAFFALf/Rv8X/+b+V/4d/p/+gv7G/sX+Ov+JANMBNgJxAaIA6/+h//f++f2K/rz/NgGPAbMBXwEqAP/+4v1V/Qn9+Pzo/H7+7f8cAOP/7f62/oP+Av9//wEAVgCFABABzgHvAeD/IP5m/UL9EP68/iD/e/+TAAUBlgEPAcn/8v+aANgB+gJLAycD3wLdAhoDCANoAsMCzAJYAqEBJwHoANsALwFDAXgBWgBJ/7j+Ev50/ib+R/7t/nv/ff/d/q/9Xvyc+2/7S/w6/rUAvALqA/8DeQLRAK7/Rf8T/1n/uf9zAMAAugB2AOX/ov9J/1D+yPw3/E39ZP/4AMYARP+m/Zz8JvxN/Jn81f08/6AAfwEtAREA8/7M/m//rgBGAoMDhQTnBJIEKARLBCsE1gPNA5QDtgPvA2UDIAMuA0gDogLCAAX+PfwB/NH81P16/sb+ef5W/SX8PfsU+5n7+fwJ/2AAKAFwAasBdAKPAgECkgH9AGQABAA5/9n+CP4R/Tz9r/3K/Rz9pvs8+8P7avzJ/dD+Gv/s/oj91fz//L79Y//YAPYB9wI4A9EC4wGqAGwAOAEvAhcDQgMeA60CgwKcAmcCQAILAiUC9gFQAUUB7gFQA6wDMQMMAnkAL/9T/sT9tv1f/ur+WP+2/23/Ef+L/jj+C/4Z/oP+O/9cAJwBHgIDAlsByADBAFoAe/+4/oD+t/6L/jn+3/3h/W79rPxn/KD87fxg/Y39av0y/Qn9PP2+/QL+3/0a/rv+3/6O/5oAfgEuAn4C3wIpAwADPwKnAREC9QLYA1YEiQTGA/QC7gEnASkBQwFqAV0BDQHnAD0BUwENAdoA7gDyADgAO/+E/g3/KwAVARIBmQD///L/DAAjAG0AcwCLAIMATgBdAG0AeAAnAJ//dv/2/jL+hv3d/Mz8//wy/UL9Uv12/Nr7ePsu+5v7Z/yR/eT+e/8t/43+U/7y/iIAUAGWAs0DdAQEBO8C5gG8ASECbwKGAm8CjgIrA44DnAOmAtgA9f6p/R/9Mv0M/qD/SgFVAhYCCgHD/6P+AP45/tD+Uf9y/4X/w/88APYAHwHNACAANv+i/mf+y/5X/1UACQH8AFEAn/93/7n/iv/J/mX+X/6O/tP++P74/mH+Zf2V/Er8cfwA/W790/3G/Yr9u/0O/pT+ov+3AMUBSwKoAgUDMwMfA3sDQgQRBXsF7wQOBEIDpQIeAokB9QAzAGn/4P57/u396f1c/nb/TADaABwBnAB4/37+jf4M/7P/BQBHAI0AhwB0AAQAwf8X/3f+Vf7f/sv/sABmAYcBPgGiAKj/Ef/S/in/tv+n/wH/WP6w/Sn9pfyq/D/9j/1W/bj8Z/yj/Pf8wv3+/jgAYQFzAjUDtAOoA3MDTAOMA6EDmQPmAxEEzQMfAzUCjwEhAfEArABAAJX/Bv+5/p3+7P5b/5v/r/+m/xQAaQBXAD8ABwAvAFYAOQAuAN3/+f9DAJUAxwBoAKf/Xf+M//H//v/O/8//z/+z/3D/5/41/ov9Kv05/V79b/2g/Xb9Af1C/Pf7R/z5/Nb91f57/5v/D/9g/pL+0/9eAfgC9AMBBGkDZgLJAeMBRgLtAoEDkwMWA24CzwFZAa8AUgBcAH0ARgAlACQAXAB/AO//L/9p/lX+0f58/xwAQgBJADIAtP/o/k7+Ov6k/vH+Qv+h/wAALAAwABUABACB/zr/Wv+w/8z/pP9Y/0z/Ef+1/lT+Cv43/rT+Q/80/6L+Jv4j/qv+b/9QAPYAUwEmAbcANwCq/53/XwBQASYCqwLxAvQC8wJwAuoBiwFrASgB+QA4AYsBxwG9AbQBWQGGAMH/e//7/8kATwFLAbYA5v9f/zb/mv/0/1sA3wBAAfgA6P+3/u39u/0x/rP+Qf+M/1//5/5w/iX+mP70/rn+Ov6v/ZL91P0W/mj+uf7V/gH/Ev/7/rf+Hv4C/h/+xP6H////UABmADcACgCc/zD/rf6g/kD/EwDcADEBLAEWAcYAkgB7AHgAtAD/AFcB7AExAi4CuQE1AeMA+gCbAVICIANwAxgDQgIFASkA/v9dAOsAiwF4ARIBWgCD/wH/g/4S/kn+qf4F/w//uP6C/mf+4v1Y/S39cv2l/bf9r/3Q/ST+k/4q/63/CgBRAGsAMgAFAO7/RgAdAdMBaQIEAosB1QBiABUAZv/f/qz+J/+i/3X/C/9+/k/+lv4Z/2T/q//a/1sALgHJATkC9QGTAVIBVAHnAeMC4wMhBPgDVANlAmcBsACHAOcAMAFuAS0BtAAnANL/5/+T///+P/6j/bn9GP6u/gj/D/+1/l3+Av67/WP9PP1w/cX9Pf6C/sz+Vf+m/9r/0v/r//j/HQAbAP//8v/r/0sAtgDHAJAALQDR/2D/n/5K/nj+zf6o/zMAaQAcAJ//bP+e/wAAUAC+AHUB5wFxAp4CLgLnAScC6wLvA3wENQRmAzEC+AD5/07/l/8iAIMARwCt//b+OP4D/uv9cv3r/JP82/xA/fL9kP4d/2v/J//a/qb+p/77/lb/uf8LACgABAC9/2//zf9VANoALgFMAQoBMQBI/8r+Ev+5/xIAHgAKANv/Z//v/qD+//59/z0AggBJACEA9//U/33/Nf9r/w4AxAAvAZgBFQJfAm8CbAKGAqQCmAKKAoACpAJxAgMCTAFtAKr/bf9v/43/fv8x/6D+y/0Z/Z38oPxP/RT+8v5n/3D/+P4x/rr91f15/nX/UwC6AKcAUAAnABwA3P/b/wcAbADvABQB/wC0AO7/qf9s/3//oP+u/8b/pf+E/1j/UP9h/0v/Fv8k/1v/eP+2/+X/BQAAAB0ASQCyACMBlAEFAsQCTgOQA6sDYwPyAooC1gEDATEAq/+e/9r//f/r/5r/LP+W/hr+wP2H/an9G/7X/nr/sf/C/3r/MP/M/o3+QP5K/qj+RP8dAHYAXgBhADkACACx/2r/Sf/d/3UAxADbAHsAbgA4ACEANAAlAF8AMADe/2r/6f7K/uL+Df+V/7r/3v/5/8T/w/++/+X/LQBTAKgA7QCKAeIBEQICAv4BNgIEAkUBjQBCAGsAoQBoACsADAANAEEAJQALALr/Wv9r/4b/cf9b/yf/cv/O/8f/zf+c/6L/qP9d/9r+Gf4S/nL+/f5q/yoAyQDnAKUALADx/zIAdwBZADoAKgCm/y//8P4s/4H/2/8eAAIAXf/H/nL+pf5N//H/gQDQAKYAZAAvANz/x//d/1UAPQHsATwCLALDARUBpwByAGEAEwAdAI4A0gCcAHMADAC6/1H/xv5u/hv+8v3W/bX9u/35/VH+x/5h/8n/KgB6ALgAowCJACsAqf8a/2T/gQDbARcDLQNvAgQBwv9O/zD/Zv9G/1//ov+O/3H/Mv/t/oj/m/9T/yj/CP86/27/sv8GAGEA2QD4APUAPAFvAUUBHgHuAM8AoACiAOcABQH6APgAnQAhANr/CQCCAOIAFgE0Ae4AjwAEAH//Iv8M//H+Ef9V/3D/eP+k/43/ef/E/9P/j/9+/3v/m//Z/wcAHwAEAGD/s/6I/hT/AwARAaABpwE/AZEAm/+P/jv+n/50/zwARQAwAPj/pv9O/97+rP61/t/+bP8KAGsAYQBSAEwAJwDE/6z/1/9YAOoATQFFARABpwCk/x3///49/0UAEAH+AW8CWwKwAQQBfAANAOP/0v8pAFkAggBYAMf/SP8I/yH/T/+S/27/GP+b/mb+bv7R/qH/hwD6ABcBngBEAEMAKABTAJcA4QAyAekAVgDa/1z/H/8b/0f/vP9QABQBTQE4AYkAUP+g/mL+a/7s/gf/Ff8N/z3/gv9f/wD/sf6//hj/cP/G/ysAkwD6AFcBrgH0ATECMAL8AfcBXgFFAQwBmwBcAO7/PgAKAOL/vgB9AJ3/yP1Q/KD8Yv1p/jL/Pf9L/+v+If73/en9HP7V/nv/gwAGAb0BgQINA8gDqgMkA44CtgGBAZIBJgEKAcsAmwC8AAYAqv9r/zz/gv/Z/wYARQAmALX/Yv+4/gj+Uf0U/Yf9qf3b/Sz+hP7S/iL/a/+w/3v/fv9PAAwBqAGgAXgBsAEQAdEAswCbAOYADQEYAVsBCAGXADsAeP+2/or9H/0U/T39Tv5c/0YAcgCFACoAc//g/sH+JP/t/78A1wFBAqcCTQJLARMBTwEiAc8A2QDjAKQB6wGZAbgA1P+g/zr/r/7l/jL/Mv/l/xkAAQCr/2j/o/50/l7+Lv7G/Sb+Zv6p/pT/Fv8o/3D/3/6i/if/gP9pABkB4QDkAJMA2ADuAQYCvgFNA3QDnwM/A7sCeQSjArv/PP6y+cz4a/rV+hj93/71AV4DMQJEAQz+jvwk/sn9vP0C/5QAIQLMAvoCdAGoAhQElATFBVIFRQRxAjoAYP5D/TL8Z/sK+0X88f0I/8YAhwGBAIT/Xf8G/Q/8P/2U/kP+BP/tABwBGgGDARgCHgKSAboA+wA0AFP/kf+r/17/qP/bAL0AKABXAOoANf/Q/ff9Zf7V/+kB3QKKArIB9AAY/w391f0C/qX97/0B/gr/l//SABkBmP8OABQBFADuAaEB5wAlAhcBYAAU/3H+2/4qAX4Aw//bAHsD+gUsAxkCsABw/dj7NPz2+pT7DQBAAtEBCgPiA8AATv2q++/6xfmg+vz8//za/gQBFwFuAuUDNgQGA+oBwv4a/DD8NP6YAmcEHgX9AfIEdgYRAur/d/9dALH/RgDy/mH+g/2H/b7+7QJ3BkEBiPwF/WgAAQAA+o360/wx9+D9vP55/pAIywPKAQwE6gQ/A2L9r/7PAuL9M//PAVv+BgW9AkwAJwS8AjwE4gOUAOoD/v8r+pT82/gL+Gf77fsy/6j/Tfxg/43/FPoL+6f7nf/hAI0CWQMhAxsFTQRaAsEBmgOu/FQA0gDcAaAHBAiKCaEGGwjBA4v70vZ8++f5Kfa1/D0I6QriAycDzQEkBmsA0/Zl9dv5m/rv9/MA4AKf/3P/+v6x+5r8rvp/+0YARQBg/14DCwQOAYEGvgCeBIsEE/sqArL9o//hAskAVP/o/78EbgD6+nMAdwHG963/1f+z/esAyPyD/c8DcwZq/kkBNAHZ/+oAc/03/aj9GAEQA2MBXwDM/qH+hgSJA3/64gEqBTr54vsvBXcDUP/i/oYA0f5jAcEA4QMFAXf6+AUr+pn3fQVtBnb8WvZUBuQG6/+M+kX7UwC2AlUBDwDoBW4Iqghp/ZP9aABc+ZP+bwCA+v0HeAWU9hICrvqr/cgCzAKzAET0FADjAcj3X/5BBdb+8wQ1AAz21gm1AGr1mAPRCNH8l/ifAhMIPAAl+IoN8/0C+r8FCf+zA03/c/7fALAA/vtRAkT8JAG9/jH5rQRdADb/dQPu+KoGSwEn7agTKPz4+P4HVfxAA7wBuwADBBgEhv8I/fr5xhLa7SH1MglB+wcHJfjHB8cFif6y+hMC2fw7+bD7+gAZC3/xqP9XD+8Jdvi59oz/eAuM97YBMAyn9AwBXAfEB33y7QzF8qf1nxXC9675RwfyB5L/vPgF8okKNAOJ/Kb1cwcHCEjjLQ6JECnxNgA0+yAJDQPv7BEaYQLX674VgP5E8aoHoPZVA0cTnvjh/tsFQP9T/hr/Nfd8B6IBGf2SBlzuYQlABgP8cQGD8yEK6wZw53j/UBfWAFD3lPOzCmEJe/GF9+UBiAHKAwr7pv9oFA0AkP8w8jkGPwdv84sCQ/yPCWwLXfpT9r8O2v89AczxAPOpFfTylgXn/VP8nwyM/pgIvPTN+xoMs/ag/uUHMuSFBmIj6fR86pYF/QblCwn3JeW+G/sIH+4P8XoUywpd5xQBEgYCCaP37Oi3DA4Y/Opj8o8NfR8z/vfWogvHH6PoDvsKB98G3/uq/C4NfPbL/LwF8/3l8qUMeP5HBpn5vgG6A6z2sBEt8sv9UQApEAz75PtqA5zyRghk/xMDjPNADtgE6eiVDnYSMulS++UR7fa9+acAUwYB+7j15xdj/n3ytQZI/LMJNvbS+QURx/q+8+IClP5AFKnoyAD3D0jtIxOz6tP6MB5B6zz8qhbA7xYMEu1LDNoV3tS2Do0Se+uV/6UCbv5QCdAICe0P+HMcke2R9BEPMv3lBQ8JW+8mDV7/9QCmABT27gQ++8UD9wLx/ysETflY91civfNG5goTxwem7xv8N//mBZEFJv6C+2r/xQWw/tb5TvkJEAgBLeoQIJn7V+vnG8HxxvV7ExsEGOExFuUB3+rnGHj/oNunGIsbHeAB7/sczQZ/4H4DkA28/ij48AbR+8wU7e9F/TgBzP92C8Tx1/gmD5ANDObpEwf/uwHpAJz0WgEQA8UMMOpx/J4XfQC75Y8ZLf6E8XwNZfa6ASEEeAHY65QhyfLR4Tgm/QfB3McH9Blj6GEBtfTHElwCAQRf9Ln0CxwT8o3+yfPYH+zmNPbCFUz5own55DUI4hMN+KLjERB5BLQRa9xm8uJGPdE15e4tNP/83O0MwgF6D6PtAwCNHSHlwAxG6WIKJhmS1JsPtx4Y25MD8SpQ14UJpAlA61UXSfyU+TLx/SCi+1PupgV7CAf5k/bwDPP04xSB6IUBxCFW5wL5lR7g4kQH6glk45wU6ADbCI/ezRxGB2vdZhr5/Rj7YfpYBhkGiQbo258Gai+m5e/buQpUR1DB0eMQPGD1U/0P7W4LNQKOB9T2iO/dFQwOmNTGDBwibNG5GwwEYtilKTH/dOFbDH4WOfTI6tQVyxJ731MAGRS9+dACC/JMFuf1IfFMFu//7uWuGsLzyfabK/PM3fr2Lkj+DtWyCO0dRfoy4BkOsCEB3t72+QoEI5bUYvdaJNcAHeki9TonqPT/7cgOvwKL68YaretgCvAGlueYF3rsJQlIFBzlIfxtDtUM/er96UMu5vVl12osEfAO9UcRc//C+0ftWRen+h/3vALVDIvyn/9vGjXgDQx6D97xr/5M8tUjMf31zWc8pfYV3kcRDglCEQ7CZxoDG7/uzfEGBPr9PBl46Zb6cxY54x8Xd/RtA+/xDw3vCQP1e/ATHaP6DOZ9IXztHQwBCNTQcjeh/dnVNyj83wYP7x0N0HYaY/Q0/VM1RLIAFSYqq88TFCXxbQS4GEjltwuvAefpvyaP9tLXnilj87T8FQ7W7TEcX+dp9voyct955jEk//3L9hr6u/OiNMjkHdN6NYr2IfKkA0Tv/hPxAWz16PzF/R8lJ9dQ+NAqheV9+dcKFAbO8Z/w3THP60LZiT9T3CrvbSwM2UsHLCAf104PEgofAg/55ubVOOTfvd8PMbv1WehjF733mAP3/PT+thIJz6ooqgiOzWMpLvUsAiIJDuI0HXsUG8VWGAIgd+mt+6vyTSzj4M/plifVAT/mJwYD/UsSEQK72HYcQAqt/qPTGx/yIPvL2/x+IJQFReTODRnz1wo0Dxzeyw8IC+HlWBWZB7DZqxw1DNvioQt6ABYBlA8Q2yYHAyK768Pp6R+bA3rirAZiGaTxX9soNETvRPYLBAL3fBqm7J31oBIaCXTeTB9L9/H0+BnS3uwfF/c6+WUFnQsT7GAF0h/SxvUsbgPy53H+RCOv3GIBgis9xQUim/DGFRrpTPLwMLTMDR6S7tgDOhAd6YIDEBNE7ij2Xxv83Lkkw+FMA1ggM+TkB+/4sgg1ENnlnvj2E5IB9f0b5B4eqA3i32MHTQ2w+qMCou2rCnsLkvZd+wf2xxOsAQr7e/Ly/zQOrgpz5bL9VR3z/RLlevoTNTXlPtbBLl0UG9fX80UkJQ6N0qYCNiLW/NDwQOXYJloDYvDR+cDzximy9JTGpjPWGLq80SRaBU7vABUd3ioTfw+z4wgWvd8zH18cdq20LMUVO+px/lvwWCz46RvQNkHB+2LU6yWy9bsFVvui8rEeduIyAHAnwsLGKigdw5t0VRsD9MJgNOvhAQoRHijJ6B7aBhPkhCo24zL66Ba07cIZsO7E4lkso/m28xUEuu9jIdrougdvCL/dDits+Z/n1fcqGmQGO+qq9v0VcAK3+DEChesIHznnxQFCGqnjkQEg/eoSpgQR12MYaxY2240O2P/q/y4DBvMyDF0OVOYR/TcXpPxm+KjyhRP/Bw74CPXSA1wCfhoE5gLkQy0kAJzmgP7SDLQKnvAy/70QsPBZAsABMfy7Ba35t/wxF5bi+gEMKCLJlhFFJ33KmgVsIbXxVupDDo4SSOuK+fAXd+549bMiiumy8AQafv1k+EIC+vBuHMn4AeX7FCT7MAwd+mfrpQ9UErbvzOPtKIL5JunVBtgBDgv9BaHtGfILMBjpMvVDBCMAjRII6t3vMC7A9QLk7AjDCngK/vN82zopqBfryYYVnPUjGg8CBN6/A6EdFOp4BrX40/QQL1DKYR4tBnrdpSYU5y0E4RTB6P4HOQK0Bs3zE/m3JOzkGuwCIgcFq+108Zogf/m65i0TsvIQGdbxsujWJNPnLwgdAUv5WQao9HoK9PWl/ToWmfIE71MS4QHSA1DynflcFob52vqE+hoE1xSC82DophTwGl3grvG6He0G1eYz/1QSKvui+WUJTPvt+LEFEASv/0TqIQ2lCavzAAlW8ZcA5BH4+Fz1QQGvBdcHzfrf9F0BEg7FAmDxvfeuF20AyfG5AI8JgPzt+y4OTOm1DSIBkvnQBj79HPu9A6T8gf8pCz3qUgQ+EYL3LfHQDd8Ly+rS+GgSPwqu8KDrAxrdEYriOPWWGZcLmerJ9zcTMf+E9ssKHvgTBVgDu/fKB774/AX3+2gAIAGY/poAnPxgB1j3EgFdA/4DtfUy/5YJ+Pwl/AMFBwPV79ELdAlj+Ar6IAIYAvD/vwBE/DMAivxZB7cCxvie+ccI5AWj+un3LP6LB8wD+vpW9kgEFAfc/CD9XAFtA9f/ofg9A+oCNv+x+xUFHP4c/sMHiPl4Ae8ALQWy/ob25gvJ/wn0ZAtoAcT2KgLEBIYBYPtF/NMD2wLS/KT8mwFoA+36dABUAs/6ewSaAcH7fv0CBBwDkfZHArIEz/+f/WT9IQKX/zb/6P6l//8A8AD4/BcAaQU5/EQAff+N/XMH5Pqs/L8DUgHuAMn9vQA5/pb+3gXX/fv6TgeX+zj9MgVH/gb+rP92BQr/Cv3h//EFHf3W+9cFyABA/VIA4QOq/WAAcQJJ+6IDDgG2+fUCFgLO/i78vwFQAs3+Y/5w/RsEvf68/SkA0gLyAAb8BwIxAuD+j/82/+MA+gD0/u7+XP9OAi4ADP5C/2wDYf1y/48ACv76AnH7l/5DBcv+7frKAg3/PwTA/B/6fgRkAoH95/pkBWUAW/8m/yMATQE+ARb+Tv6DBDEC6vlCAQMIl/u0AE3+zAD1Amn+8P2hAGkDNf9S/K4A/QX893oA5AI1/ZIB1ftMAnwCkPzm//oAzP5GAOn/ov4TAWsBAAAp/3D/0AFd/kYAjgE3/uYAKQB4/7wAOQKJ/kD/KgFc//T/+P5WAT/+yf/D/1IBM//L/QMDU/4A/0z+nAEJ/vX9hwPW/Gr//QAdAZv9f/9vAZT/u/6T/qEDwgBO/lr/+QM7AG79PwHTAUEA5/4B/q0CyQGC/d//2/+BA7v8Wf5XA9v/xv4p/0kAxf8IAR/+yP5cAWEBCP6zALoA6P11AeD//QB//dMA2v8l/1sBx//rAA0B0P9A/dcCIgAg/3b9bQD4AUX/8v5q/vYE3/xw/rwCfv5n/kEAxAH0/QwASP4fAmwCyPtCAa4ASQBKAEL9LAPpAFP/JABIACkC1PwkAUoCD/9f/wsCIf6XAEcBS/0CAgEANABh/qP/HQLx/qf+m//TAD8CMvs9/6EEWf/u+zP/PAVY/kn/sf2jAhwBP/3fAH7/UQM+AM/+yP5eA/z+KACL/77+HgN8/VoBdP6GAPj/cf+o/8H+nf+2AIUAIf7xAJv9lQG6AK79p/97ARkAHf5SAeEAHgDL/qX//QIa/qf+0wGt/cYCt/4G/uYA8v/O/zf+YgDF/zQBTf61/m0B6//7/gr/4gHo/0sASf/J/xgB1f9a/+IA/ABd/vYAMgBhAL/+sf+FAjz/H/8SAc//igC0/2P+dAImAEX/zQDxAGMArP7BADMAov7lAMABtf2WAc4Ab/5SAqD+fAGR/iUAigNy/c0AZQBQ/ugB1/87AJ3+d/19BDEATfuNAPEBvgC7/Bf+5QLN/hP9CQK5/0z+BwJZ/pr/JQFV/zEA5f5JAH4AB/+1/j4B2QD4/cMAm/9/AJYAf/1WAeIBA/4DADwB0gCs/2n/lAH2AFL/e/8AA2T+qgA+AB8AOQHi/icBg/9MAAT/iQEw/97+3wFY//z/cf4PAa0A0P7V/9T/VQFG/lwBtv6S/5QCf/5f/pkACAJ+/XUALv/sAS3/W/76ANn/cv9mAFgAq/2JAgH/MgHk/28Bdf7T/ksDZ/51/57+BwLgALv97v/EAcX+q/9x/7wAJQDc/vz/0//BAKv+/v+VARIAQv2cAn//6v5dAej+8gCJ/5wAK/8XALEAAAHp/Y//WQKs/+T/+f7bAbUA7f6aAMX/owBYAGL/hAAC/8oA0v8O/3IAY//B/8D/ogBw/1T+Xv/+Abr+NP7F/0MBkv9s/t7/YgECAJf+vACF/wgAoP+mANr/QAAx/tgA6gBO/8IA7f1WAx8AQP49AJcA+/+J/47+HwEgAUX+7AEl/tMCbv+U/WwBXv/Q/7n/NwDq/4YAJwB1Adb+SwGC/5//0f/NAA0B9P1nApQAgwBeAPEAw/4BAHQAJgASADT/4wB6/9f/tf96AeL9NABc/8L+6gDN/z//Zv8JAdkAVv4D/7sCdP/s/hoAQgIX/1UAKQGm/k4BhQFI/yUAWgCN/9sAeP7CAY7+VQG+/t391AMJ/i3+LQBkATgAsfz+AG8AJv8OArP+of9+AjUAkv4NATL/agJK/wr/FQJq/kUBOADz/s8AaABK/3kANwHo/i4ApQCS/oX/CwEAAGv+zwA1/vb++QHO/379XP9kAYP/Qv6h/5QBJ/9IAIEAqv9qAAUAnP+8/9UB4P4JAr//2P6MASr/9ACO/j8BKgCH/vj/2f+0AcL9nv9j/58ABwJc/Kr/IgHC//z+rv82AWMAW/7B/j0BAwAFAKb9MQK5AWL9HwIl/8QAjv7N/1ACLP19/ywBLQAP/1MACwAWAJD/JgCe/Y/+KwLD/9H8CwK9ARf9rgCKADMBVABs/tL/LwTy/zv/wP9mACYBwvwdB2AElgKE//37vgFE/qT+5/6GAVYA/PwR//wB9v8V/c/+2/9fACcAhP1iAJ4A7f6e/3z/AwC2/gABRP82ATYB2P5eAer//v5EAd8A8/6FAP0AVv7l/xECTf4XACkC3P6W/vgAw/9i/8P/EgBfAQP/z/+W/ZsBGwCs/pf/u/4kARb/OQAR/qMBmf6k/hj/9/7BAKn/8f7J/xIFYv+v/Un+VgFhA87/D/4z/hED4wH5+u4AOgQL//3+Gv7RAowArP1/ADAAkgV0/lr8cADOABj/4wC6/5f6vwPN/isCuwD4+98CuP5yAdn8+/75Axz/IvoxAdUDt/sUAtYBjP/IAC8AcfzxAb8EffnlAFYEE/4n/zr53QdPBTn57P4G/9cFxATK+pb2If3yAVgC+AETCVAF9PoL+FL85/10C4kD/wKi+nL1zQOiAssLLP2mAfj90/48/0P8Sf2BAioFtPxzAyP+b/xX/8gF9AYd/lD6j/j7+cABAwN1Akr9DPlQAYoB8vs/AHz4EwMvAy37zQX0BCb9V/gkA9D+kwSaALP9FQTDAVYGIv46/gwCVv7DAXYBNQMx/Zb64gI8APAEXgBd/iX8UAL+/qP4zQM+/2sB2vzR/3MDG/9YAK35Hfs1ACIH6QJUAEP7ifoBAvb9ygjmB8n/r/1n9tj9tQbDCogBbfi297cAeQkK/qf5rfwAAvQE5QQU/Aj8PP0T+50G7ATL/zD6t/lH/lYFzgZm+7j8lgRZAe37ywMZAQX+BgCt/8kG7ASE+y78sf0r/7kDmv6hA3P+WvZL/20A7gKvASP6ef1i/1f7RwBeB20BM/o1/BwJJgI5AVcCQfSy+soKygzC/CEGTAK+8bUBLQvGCOn/n/s8+1gBKgQZ+/v8NP+kB8sCvPl19OX8VAnl+ssA7AJM+rX8vvp8/OoHcQXH+WH+0v9N/iL+8wZcBFz/qv7F+yb+CAdbBtz7kPxoABAKMv06BNv+JvaQBqoCF/6O/4n+1/z9A3H9MQHX/Qv4YgBAArkH7vqJ+fz95/0aBtX/hv1pAqf8kvl3A1cFdQAo/T/8YQIqAoYEMgFj+kr+zgGTAw0EIv/F/vL9//0yBOMDCQDCAQ7/QPx4Akz/dAPtCVL3cPktB8UByPxX+wwEwv63+iL+TAHQBZT+yfj7+5UAa/20AO0CUPm6/mEGMvxJ+G0BAgjM/438af1J+hsAYAfiB+sBIfuU+hf/ygOjAxgBXP1PAtYFggGLA7r7yvq7ACMD2QN+/in74v40BHgDpwT7+/79SgDx+2MBKQGXAwb/Kfx5AiEA3v/oAHj8yP+7AsYEygFo+If92ACwAg0GXf5T+zgAwfw3/tkER/+7/h/+IP4YBCH+rf+w/+j4HAKgBO//NQHc/575N/8QAh4BTANp/S4CHgE9/N/+jQXtBC396vzI/pwDe/8//4MCMv5t/wAAQALdABr+tfyJ/lID3QKX/x77Gv3f/sMEXQR5/hv9VPq3AKcD5QAWAd3+e/+I/yn/lAGaAoQAxv1r/gQBCAFVAL0Bjv4bAUACjABwANH+k/zN/s4C0f47AJQBOPvb/IMAbP/bAXcA//sg/Wz/ywEKAMYAiACU/Wj//gHmAX7+V/+R/kkC+APnAbD/qv7o/2r/+QPxAO8BtwHj/B/8m/3bA4wCowH0/5f9Lf7o/6gAiQCYACb9jf0q/dn+PALEAX//v/6MAB0Agf+E/0z/qgFNAMX+JAGOAYr/9v6tAMwBnACP//v/rf5f/uIA5wHIAJABdACUAbD/UP4AAAMAEgH4/2QCQgEM/iH9o/5oApUEewD4/W/+B/4u/7gBywEdAeAA+/xw/kIAAAADAMX+FP8P/4UBnQHs/tf/pv9c/0ACEv8R/Tn/HgBvAn4AT/73/gUB/QC1/lP/3gAa/8n/IQBP/vgAagLk/uL+EgCb//QAA/+WAGEAmgDbABv/OP92AB4B4/6CAKf/VACfADz/hAHCAEgAxP6n/okA4P9D/6IAhwK+/0oBv//Y+uj+PwOXAw4BSf6D+3P++AHXAWQBlgFB//z9kf/h/z4BbwFCAJn/FgHXADv/uf8a/wwAEgH0ALb/xv/t/XP8AAFsAjABCAAF/uL+CgKc/1X+lAAuALD/4wASATn/BwCX/1r/WgFBAVz/P/6Q/8H/iACmAAT/lv/0/p3/h/+c//P/Bf4D/+4AvwBa/xH/Xf///xgA1P7HAA4A8v/g/lj+QwHgAH3/fv86AgsA6P45/xgAOwEAACMBXQB5/zH/a/8gAYsBxAD7/4r/TP+X/z8ApP9vACcBcf8b/yoBlgHS/xX/JQGT/67+yQEjAeT+dP1//7sB7P8uAeL/1fy1/yQAuwDjAJn/pv/A/hsAiQFq/yD+ef8C/g8A0gFCAOn/1v1v/qH/EQHuAI7/Av+H/sABtQHO/y//AAA1AJYAVQED/z7/Kv8fAFMBdwFOAhoAs/6j/jQAvAD6AJABsv8e/04BbQEh/wv/e/93ARwC9v81/nD+8wB8AWsAEwBLAMH+kv56/zMAcQDqAIv/6/5fAOj+TQDUAKv/ZP+c/iD/sP8tAZcAIv+6/6v/XP+BADgBEf/B/2X/Qf9WAUcBYQBa/2cB7f8dAEYBQf+E/3AAQgDy//0ATwDc/9D/j/9w/6H/XADb/p/+0/9RAGj/RQBjANL+aP66/zcAM/8YALUAbADk//D/BAANADYA8gDWAKj/of8HAEQA0P9CAKsBSwAn/0sA6P/L/7MAqQDw/xcAvP86/of+CQEmAfT/P/9J/nn/sQCFALj/lf44ANj/3P66ADMASf8DAJ4Ao/9BACQBm//6/hQAFwHT/ysAOgCa/5AA4wC7AOP/P/8/AAYAxf/+/24AHgAN/lH/5ABcABgA+P/e/3z/yP6l/60A4QATAYf/Lv5A/wUBDgH3/7T/6/9BAN0AwwBgAIX/eP8oAPYAMwCL/13/I/8gAc4BGQBV/0r/EQAqAC8AeQCC/8z/YAAbAD0A8gAAAW7/x/4eAPP/wf+bAIkAUv9a/1EBdQDJ/0EAOQCT/yX/PwD+/0IALQGk/17/FQC+/14AGADz/i7/Av9BALUAe/+C/9r/5P5MAA8AxP6S/8b+f/8rAIABRgH0/ln/HgD//k3/bgE3ASwAGv+E/tf/ggDrAIkAW/8M/9v+UAACAUMAGACw/8P/tABZABMAtf9S/1cACgFjAbr/6f5WAKf/2wD6ARIA1P6x/xwApQCAAZoA7v9F/xUAQwDb/8j/6P5AARgBgf8pANf+QP+fAEH/m/9tACP/xP52/+4AjgB5/93/YP6E/98AQ/9UAJYAkP/H/xkAPQHCAHT/agAZALv+NwGxAIj/QwAo/2YBBQFp/uD/4v9tAN0Anf4eAPQAh/+bACwAvv8FAG//TwGJAKL+3QDz/+f/LgE2/20AswDD/iwA+//4/wsBa/+X/3z/J//EAL3/aAAeAFz+TgAdAFf/KQF8/y7/HABf/2wAqv+0/1MAbv8LAOv/f/+BALH/af7x/1oAIAA1AHL/LwBZAJv/EQATAOD/w/9O/ygAWQDw/5YATQAYANr+df+qAbAAp/4//xcANwBrAJgAKgAl/1f/PQCjAJMAPwBs/4L/WwCLAEUAvQBUAB3/MQClAHYA0wBGANH/TwC9AL//2f+5ADsAwQDH/1//5v8iACkBWAA9/+f/hABGACEAAAAHALz/uP/O/xsARQDk/w8ATf/A/30AAACf/6z/MACR/7b/pwB6AOf/ev/R/+b/KwChAHr/Hf9eAA4AnwAyAKn/RwB6/9//AQHKABMAHP+1/+wAggAWABMAXgCYAOf/rf+ZAAAAsP8RAAIAXgA6AOb/cv/O/28ARQDP/7f/gP8BAP7/lv8lADYAl/8UADgAwf+mAL8A6//e/ysAx/+O/w4AogC1ALX/j/+Z/73/PgAYAGn/mf/x/+z/6v/l/93/+v5a/0wASwDm/y//4v7A/1wAPAD//0D/lP+H/5b/QwBbAHoADACI/9L/FACsAD0ABQBGACkAAQAJAKcAiQDo/67///+RALEABQCG/04AdgC0/+n/CgALADMA1/+F/7//WwAJADsAjQAHALL/FAA2ACUAPgD8/8v/jf/1/1wA9P/b/6n/vv///4AAAAAo/6P/IAD3/wEAhgBNAHT/4f+QAEwA//83ADIAJgBKAOH/2P9CAJEArQBHAAoA/v/+/yoAsgB6AKz/sv9UAI0A6f8/ANMAnv/E/yYAwf/n//j/QQD+/yn/iP81AMX/hP9C/zT/LABuAKD/+/67/xEAff/9/60Ab/8g/+T/6v+7AIsATf+y/3UAjwA7ALT/JwBRAOr/VQA5APr//v8RAE4AAQDd/0MAuv/q/xkAo//M/6//5P8IAJH/0/8QAOr/vv+3/83/+/8vAA4A2v/1/xMAHgAAAIUAUQDZ/0UABAARAFUA0v8LAM7/+/+1AKn/Xv9w/5P/MwCb/6P/t/9C/6//0f+g/3MAf/8W/ysACwAxAMD/v//2/4r/ZQCIAAAAGwDE/wwAjQB9AMIA8P/L//T/UQCtAEYA/P+X/9T/VAByABwAcf/T/zwADQA/AAcAsP/8/xcAGgAOAP3/LgA5ALT/OgBWAO3/IgASAAsAHACdAEwAjP/+/ycACwBOAFgABQDq/8v/t/8QALMAIwB2/6f/7/9JAA0A0f/R/xwAHQDv/wMA3P/y/5//4f/L/8b/DgC3/1P/QP/S/3EA//8V/4z/bQApAIT/wv+QAPz/9f9PAFMAhAD6////sABIAMj/FQCbAIAATgBYABsA//+GAAMBagDw/yAA6f8kAJsAqgBUAO7/vv8UADYA4v8EABgAnP+4//L/6P/Z/5D/a//n/+7/af9+//b/rv9p/77/lf91/8r/4//H/1n/ff/2/+//uv/d/w0A1v+h/wkAGAAdAPz/EAAhAAoA5P/T/zUA9/+K/0IAVwBg/7//UAAiADsACQDP/+L/bgAwAO3/pgCoAAMA+v9LAFYAAAAbAEQAFgDV//3/IgBIAC0A0f8UAB0AEgAgAMv/uv/g/00ANQDR/5//JgBSAAgALQA8ABUA8P9WAIcALQD3/9b/TwCLAEAA5P/Y//v/EAACACoAQgCE/3X/9//3/+L/rv+I/6f/8//B/9v/zP/H/wAApf+Y/w0ARAAsAN3/vv/F/w8AVAA+AAEAJwD3/wQAUwALAPn/GgAzAAkAJQBrAOD/6f97AI8ALwD3/xkAFgAXAB4A7/8eAAoAx//4/0QAFAD+/7v/vf/8/9v/2f8nAP7/zv/f/8z/CwAlAKz/1/8aAOv/0P8BANP/2/8CAM3/yv/u//j/xf+f/97/8P/h//T/GQDM/7n/9v9FACwAnf/B/3cALACz/wUAIADN/xoAdAAgALr/1P8YAEcAQgAGAIf/j//H//7/XAAxAJn/mP/8/yQAGQBLAPv/av+k/97/9f8YAOT/nf+L/7z/9/9HAAwAmv+m/yoAIgDe/w4ANgAIAAAAPwA6AP7/CgBBADEAAQAVAPz/DAAiAEcAJQDo/wkA+//P//v/DwD8/yMADwCr//T/VQAjAOL//f/I/ycAjQAxAAwA8/8fALcAnQAyAP//OgBZAIgAfgAeAP//IgAmAGAAWwD7/83/tP+p/9v/OgAAAFn/Xf+s/9P/rv95/2L/o/+X/53/sf+v/6j/4v8UAOX/o//C/wkAEAAIAF8ATgDe/wUAWgBuAFkAOQBJAH4AhAA4ACUAYACeAIAARQAXACoACAD9/yMAZwAjALP/5v8jAAQANQAAAN3/NAB0APD/kv8iACsA9v8CABUADgDR/87/4P8TADYADwCf/9r/y//T/zMACgDO/8z/8v/Y/7//DAD6/9T/8//y/8b//v8PANr/5f8dANn/xv/y/+H/2P/M/73/zf/T/8L/s/+t/7T//f/D/6j/1/8TAAQA0f/l/xAAHwAjACYAAADy//f/TwCXAO3/6P/8/x8AZwAjAA8ADwDr/ykAaQAwAB0ABQDj/xQAOABxAEgAKAAFACIAXAA5AAAA9v/X/w0AIgDu/9D/5v/4//H/7P+3/8H/AADt/8b/yP/R/9H/JQAcACIAzP+8//3/+f8RAAIA9//b/9T/vf///zMA+/+3/4v/AQAaANH/zP/1/+P/0//i/zwAGgDF/97/8P8ZABgA9/8hAAYA7v8LAFcAUQBDACgAOgBAAFwAYAAHACIAawAoAA8AKwAkAP//zP8hAHAAPgAVANr/IwBPADUALAAnAAsA9f8wAGkAVAAmAAUAEAAYAEIAIgATALj/8f9VADEA6f+D/5f/7/8CAOL/qf9//4r/qP+d/6//f/+B/4D/of/e/8P/af+M/+H/5v/+//v/0f/b/wYAIgA1AEAAMgAaAD8AjABrAFgAOACKAI0ANwA6AFMALAAnADIACwBLAEcA0v+9/+X/AADD/8//1/+W/5P/4//a/7b/p/+t//L/AwDi/8z/xf/f/wkATAA5AO7/t//k/w4AGwAuABgAwP/G/wMAAAC//+v/5f/K/+P/BQDX/7j//v/3/wsAKQAOAAwAGwBJACEADQAiAFcALwAWADAAEADw/wwAHgAAAP3/GAD9/+f/HAA2AOT/BwBmAEAA+f8KABMAGQAqADUA+P/b/+P/BwDt/wEA7v/E/97/AAAFAML/v//2//v/AAAlADUA0v/a/wEALgAoAP//2v/L/wYAJAAiAOv/u//k/woAFAD8/+//zv/M/+b/HQAKAN7/tf/P/wIA7/8FABsABwD6//L/BAAfAEQALQBCAFIASgA1AE4ASwBbAGQAWgA1ACUANAA4ADoAQQAuAA4AFAAIANj/9P/w/+z/1P/J//f/DQDq/+7/4//X//3/+//H/7X/0f/x/+//CgDQ/8T/0f8AAAwA4v++/5n/pP/7/yYA9v/c/+P/CADv/8L/9/8JAAUA3f8DAAsAFADm/+L/BgAOAAMA3P8NACsA/P8BAA4AJQAaABAAFwAeAP3/CQARAAgAJwASAOf/BAAHAAwAHgAkAPb/DQAgABoADQAVACgAKAAFAPv/JABDAAwAAAAfACsAHwAhABYADAAPAAkA7f8EAB0A+v/X//3/DgDY/83/8P/N/43/mv/U/8j/sP+3/8j/m/+1/8j/2P/C/87/2//5/+r/8P8WAAEADgD6/woAKQAyAEEAHQARAAYALgBEABwABgAmABsACwAVABoACAAkAAAAAADx//3/DwAMAP//4P/r/wYA7v///wMA+/8CACAAFwD5//b/JQAfAA8ADAALAPz/JQA0ACUAIgAJAA0AJQArADAAEwAKABkAKQA9ADcADAAWAA4AHgAvABAA8f///wIA7//W/+H//P/L/8j/EwDt/8H/2f/o/83/0f/P/+//1v/r//f/5P8IAAwAMgAxABwAMgAeADYAZABYAEIAXwBXAFQASwAwACEALQBFACsACgAYAPL/4v/7/xoA9//u/+b//f/5/xQAGAAEAOn/tP/R/+v/1P++/7j/0f+9/7//z/+8/4z/kf+e/5D/l/+y/47/iv+k/7//8P/4/8D/7f8AAAEA9P8OABIA8f8LACUAOQAtABsAEwD5/zEAOAAtADgAPwAvAFQAhABxAEQAQABPAEoAOAA3ADIAPAA2ACoAAgD6/+7/5//6/+X/yv/I/5H/lP+n/7r/xf+8/8P/2v/e//j/9v8EAAwAAwAiAC0AHgAkAA8ADwALAB0ADwD8//b/6P/e/wAA/v/x/+H/2//Y/9j/6P/q/9v/6P/5/xMABAALAAUA/v8pADYACAARADoAOAAhADwAQwAuACkARwBEADoANAA2ADYAKQAcACcAGQAhAAoAAgAMAB8AIgAWABYAFwAXACQAFAAhABcAGwAVAP//CQAHAOH/6P/9/wIA0P/S/9z/wv+9/9T/zP/G/7z/rf+1/8P/0v/V/7D/uv/f/+L/sv+9/8v/1P/T/8//0//n/+r/AgAAAAIA9v/x//P/GAAiACYAPwAhACkAYgAoAP//BAAXACIA+f/d//H/3f/9/wgA5v/X/+D/5P8LAPL//P8UAPX//f8rABkA/P/x/xgAGAAEAAEAFQAmACcACQAKAB0AEgAXAB4AGwAhACQALAAiADwAJwARABcAIQAoACEAFgAQAAUA/v/z/wkA/v/y//L/FAAbAAYADAAtABEA+f8gAB0A5/8DACEAHAAPAB8ACQD1/xAAHAAZACIAFwACAPv/DQAFAPz/5f8BAP//8f/8/+P/8f/5/+T/8f/l/+z/9//8/9H/zP/v//f/vP/Q/9f/xv+9/8f/1f/i/9v/5f/p/9j/2f/9/w8A/f8FAAYAGwAhACEAFgD+/xkADwAnABgA8v/l/x0AFAAAAA4ADAD//wgAJQAeAAcAKQALABYAOwADABQAMQAvAEUAJgAsADMAKQArACIAOQAzAAEAEAAgABkABAAJANf/1P/K/+X/0P+Z/6v/pf+T/77/vf+0/7f/tf/U/9//CwASAOn/+//m/wkAKQA3AB4AIAA2AEgARgBCAD4AUwA6ACQATQAzADAAJgAYADUAIgArAB4ACAD+/ycAEwAXABoAAQDk/+j/+v/d/+3/+//g/+j/5v/s/+L/3v/s//P/GQAiAA0AGgAdADIAJQA/AD4AOQAoADkAOQAxADYASgA5AC0AIwANAAwA9//s/+7/8//g/7v/0f/E/7P/uP/X/9D/y/+z/7L/q//T/8j/zv/M/9D/2v/B/73/t/+2/8H/1P/m/9j/yP/M/+z/8f/y//v/8v/3/w8ADwAdABsAKAAuAC8ANgBIAEEAMQBAAGEANABSAEwAUQBuAGQAVABaAEwAJQAkACQAFwAAAP//6P/8/wYA5f/s/9T/tf/R//T/0f/H/8n/3P++/9f/2//M/9H/9f/m/9P/6//x/+///v8MAAkADgAHAAEA/f8BABoABQANAPr/BgDy/97/6P/1/w0A7//J/+v/6//n//n/6P/i/w0AAAD5//7/7v/9/w8AGQA5ABIAGAAcACYATABCAEAAWwBGACkAOQA1ABgAIAAbADEAOgA5AAsA+/8DAAwAAgDy//L/4//Z/+f/0//m/+H/9P/+/+j/5f8NACEAEwD4//7/7//N/9v/6f/v//3/AgAIAPb/AwAGAAIABQAmABYACwAkADIAQABMAEAAUgBbAEAAIAAkACoAGgAOABkA7v/l/+X/BAANAPb/7v/r//L//f8EAPv/AADi/9v/CQALAAcA6v/0/+f//v8FAOT/4//m/9f/z//K/9v/yP/N/+j/8v/c/+b/5//P/8v/5//p/+D/8/8CAOz/7v/1/wYA5//h/+D/CAD///f/+P8AABoAEgASABkAHwD3/wMAGgD///H/+f/6/8j/4//v/+D/2v/u/9v/7f/t/9D/0v/w/9z/6//2/wYACQD9/xUAFwAGAAsAIwATACIAMwAmAB0AGwApAOv/8P8hABcA7P8AAA0AEgATAA4AEwAfAA8AEgAkACMACQAUABwAFAAdADgAJwAaAAYADgAYACMAEAAKABkAEAAGAAsA/f8IABwAAAAAABEA3v/6/x4AGgD+/wEACgAgABwADgD8/wEAGwAoABAACQD//wQAEgAPAPr/CAAJAAIA6//l/wQA8P/h/+f/AgAFAN3/7f8CAAAA4P/5/+H/7//z//7/AQDn/+r/6v/2/woA9P8RACgAKgA8AFUAUABRAEcAWgBaAD8AMAAnAD8AWwApAB0ADgAfAFIATQAQAAMAHABAAE8AMAD+/8v/zP/b/9T/9//Y/6//i/+Q/7X/yf+Z/5b/p/+7/+H/4v+l/7//yP/J/9j/2P/o/+j/BwAZABoAKQARAAwACgAqADEAMQA+AFYANwAsACQAHwAbAC4AIAARAAoA8P/2//r/7f/q/8D/uf/E/7r/uf+7/8n/4f/J//3/+P8FADIANAA8AFAAVQBbAEgAUABFAEAAOwBVAEEAKQAfABAALQAfAB8AJwAOACIAJgAcAAEA9v/W/93/7f/v/9H/3v/q/+L/8f/3/8n/5//o/+X/+//4//T/9f/c//P/4f/b//H/3P/n/wIA9f/7/+//3v/l////FAAbAPH/9//z/+///f8PAAUAEwD6/wkAHAD+/wAAGQAVAA8ADAAdAP//3v/w/xsAFAAEAAQAAgDk/+b/7P8SAP3/+/8IAPH/5v/v/wMADwD9/wYA9//2//D/9f/c/wcAGQAhABcA2//p/ywAIwAbACAARgAfAPP/FwBfAEUAKgBPAGoARgA3AEYAGwAUADkAKAAkABcA8P/1/w4A3P/j/9z/8v+x/7//1v/K/+X//f/g/w0ALQD4/wgANQArADAAgABsADwALQAQACgAJwAkACAAZQARAP3/GADp/+v/SQAUAN3/0v/2/7j/jP+1/6v/zP8AAOj/+v8LAAMAOwBYAAkASABWACwAJAABABsAOADz/w8AgwCGACMAJADm/9r/1f86AM//yf+JANn/l/9l/87/YP8j/nn8nv4cD1ESrf3t73r0RwFBCWgDBPkf+Sr9b/1+AC4CxQP+AXr7//rS/i8A+/9yAJv/r/xC/z0BQACdAdT+mv1fAt8DuP5m/6z+AAINBW//ef82/m0CDgNXACn+qP9bAsX+T/7CBigBbPapAPgEsP4PAWYErfl0/ukBBQDcBLcBy/Sa/AYMzAGW+5b3egPID+36a/gXAzj/BgAAAHEBGPwR/moFtf/B+nkMr/SZ6okWNQUmAqf/Ne00/swIzRLA/5Lt3/YUAyELawU0/g4BjfKE+awRAwxJ+F3xW/YZBIUd2vij8rwKev/u+PoApQwT/3/4LPqh/U0IPgai/Kb2+fv0CkEF3AKR7Y75pwhQAJQL6/bw+uEHgvFDCVwKYuyKACgF6gQ4+JcECgX+9cYCRgfkAsEAuP5j8lkODwO1/30KJ+wI/a0XygkJ9VTuBQ7FAAz+YAsw3iMZ/hcJ6nX5B/V0/34R+QAy8mj2dfLHEZkKn+XRAm8Df/uFDKfxEQYs/rj6yhNhBDjnZhbwArDy/hYJ56cPrg1v7ZgJ7wWl+fb7PQFwEBoBJvPa9gQDtgFaCQUAxvvDBLjkaALIGvzxCP14AbzzqBi77sf3ERPm6owTavsF80EUYe9wDgz9Zu8SGZf7wOnCCiQJjv1GAMH6IAtn+Br82gLGAHAHVfRlA0MH0f4i/Mj+evznChX9DPJ9Ds764gTJ/Sb52AWNAjr2UAOCEZHj/f96D7YCV/zm9eH83AYgEbr1be2ACQT+VACLDEX8TQBb8n0BAwkcDQz9fumCBmMF1gj/DEvpfe08Hb8A8vaLC8jmAAyREaLu0gXPCjTsSviAFsH4G/+AAbv/OvYoAqQPCf+f9PP87Ax39M8HNP4f/tsKveuVB2kR8vJnACn8M/STFzwD2vHR//MBfvSvD2kK8e43AaX7iwm0+1YOJfqP6w8PlABYBMYKrPK194gF3P3jEFPsWQLBB8X/+wIa6Y8VlP4692ILz/C5AQIUvO6Q914Oav+7A1r5qPmpBb7+3QF3AvL/UQAF/N30Ew7nBzfuLQUaBDr/7QFJ9TQDkQ729Qn65/9rAej8twUzDFL72PECBW0PLe+ICfYCpfyEA0zsYAn9FkvtGPs4C+vtMwxaAvX+Dfy47jsNvhLC+zDvHvr9BAAKyvvIA+j+t/yeAE3+ogXLCsH31fDhCXv8rQ6kA5HuiAK6Csj7/QE8BKf2lwB8/o8MNgiR8NnyHAtkA5kE+gKf8LEFQANx/DwVhuwl87cNuPpOErf64exJA9AA9QBnEeD2MO9BBXEKx/2I95AFagaN82ADBAt26IsKOQ/67zMEuP3u+6kJ6fdF/2IBGgxJBHDsjP+SC6MApPhSB8sHcPdH/Xf//vg/ELwML+vd+KUJKwVC+HL/6wzg82X9rQjv+xgA2fxc+p8Jof4GAjMHq/Sn/cwEBAIWBQL+pPvu/zsAYgV3+usILv9M88IMLgSY9l4Bqf4lAwoGb/NlA5oGrwB3/Wb+Nf/j/AcD1gXN+1n9yQLM+IELDvkD8JsUOgMk9TMCbPgr/oQJdAK7AEvxCwuIAgzxbhJH//Dx3AeTB+P3oATF+VH5uwhSCmcAXvLW+qQHYwOKAaECrPaOAUkEQAHgBZ766vr0/soCyAl19Bj8IQhNAOcCzf8270YDABAb+h31mgVnByP2jgkgA5/3SP29A9n+nPyfBav+2QJT/zD8twBcBKf40/4TAwAAOv/5+NcCtQiW/b35qggl/koAD/nz/wgGxvxvA6T/uQMn/ZTzfxBeCILyvQLx+EIIewAs+a0Lzvk0/5IDJPgcCKMFuPUx/Z//uAD0BWcAOP+C+d8AFgQaARr+vP83AUL05Q2mBMHu7gMmA38DpAIs/hsBB/aTCk8Co/YiD1H98fMaA5MCnwFXC5f6jvV2AxoEzgRj+7f0qwFgB6EDiv4b/vz4Nf+MC7L9nPpNAVv+2fnhB9sDnvt//+T8mv+kB5T9C/YiBNr+MgKDAlT/pgbe/gv74/5e/cMEvgce/dD4U/s8BpAJIvsr/yX/MfzrBCX9x/peBBkB1wDQ/QICzAIX9noBkgU3AT//OPrkAhUDyP1xA5b/XP1b/ywCAwUu+8H8UAVO/5EAdAfc/Aj//wMJ+7YADwDc/lwCgwI5+zcAyQck/zb9N/wLAd4BFf+1/vz/I//lAu3+wfyxA/r5YPxVCAT//PtPALv9W/8IAG8AFgSAAWP5k/ubAxMGXQE9+ugBLQZr+yEDdP+++8QEJwOaBFX+4/4B++MDpgZk++D+kACNAYkDDP0g+N8IEwQm9x4CJQis92z3fQXiB6kEVvhk+Q4DWwWY/x/+df7Z/XgBAAURAT78ovqe/6oIAwef+h73gwE4AIYDUAVw/db/nv3//iQBEAIeAXf+FQEv+2UBnf/oAIkE9Pti/6wBEACU/Pf9YQBrAb0DUgPV+Bv9TQN2/vYE0wLP+kr/nwFgABEAzv7X/xIAtgAzAO77nwAIAWz/mQH0+ob/wQMN/SX+VgRbAT78xwA6/1r7xP7xAkYC5wAsBWL8bfzjBt//7PyaADEAHv8IAr0A8v74BO0BSPxmAhP/6P1zAbP+bQCMA0b9+fv7A20CngDm/3D53f31BAoBsv6V/f795wBPAwcCYv/J/lb9cf/iAS0CLf+e/xABZABgA7YAi/3X/oT9R/+LAvcDDANB/b7/9AHAAKz/Qv1sAdb/Xf3QAIoAhP0RAtwCIwBNAsz88fYw/9kE6QAgAUYBwPwp/04D9gBp/RkAcv/C/tEAYv6BAGcBSQM7Ak7/S/9G/TsAlgSR/yz+0wEw/6UA6gCKAY3/5f/mA0cBaP5u/QT++QCGBbcBFv3A/p0BkQO2/Rn+cP+F/DYCZQG7/j7+QwCBAur9zf8z/z0BdQAA/DT9agK5AT/8nADMAfP/lv5J/jT/hv8gATgA6/+m/on8WAC2BJYBX/w4/Er9vgCUAU4AtgHfAOr9qfxBAHgAhP3H/kIDOQLfAK4AHP8ZAaIBpQBgACICPQAM/icBigLbBHkD2QAx/9P/CwKjAO//XP8pACcD6QEvADz/xAHSAjMDkAJB/rf9OAFbA4cAZQF4AOr8D/9cAp4BwP6//bf+lP66/Hv76fyu/lAAuPyJ+Qr95/zY/JH+EP1F+sf6nvp7/SoAbvty+e/9KQBg/zz9A/1U/en+if8Z/uH9gQCcAGQCdAJR//QA3gHEAmkEagPoAq0DmAM/AyQDDAdmBr8ERAaZBZQEIQWyBvwGmAiECFYHYwRhA/gE4AX2BnsHRwhyBgYFpgT7AXUCIQOBAgIAk/0q+o39VAE2AAT+mfdV9nb1afT49JL0AvV/9vX1A/LD8VfyRfO983P1aPRo8kX16/Mq9CH25fbd+Kv6BPlb9jf6H/xO/2r/xv6J/1P/WAB6/0AAbAE3A4MGPQsrD8QPGg/XDUsLtg95FQoUqhMPFcsaWh5zGZ8YvBv2GmEYtBTeEKwR5xOQD7cNJg1bC6wIhgMAAJr7u/rU92bzu/B78BHxJO5Y6+3piuvb5gjjm98X3rHiPOWm59PlT+TI5nLooujT6KTrT+9a8K3xuPRx9XD7Mf0t+sj8Xf+7/VX9of/oARwEfgHGAkkFdgdABekAlgOyCHkPDBAgENwMDQxREYAYrRg7GJoZXxsTHmQcZx6TGsQbaxyAHIkdoBmNGBYVRRZUGBcVfg9UDY4ILATrBF4DoQDq/jn7/fWj9Lfz2vFr8F/uTeqP5mbkhuNn5KbijOV15Ank++Pi4jLl2OVv58DlUOjl6VbtEPBN7w3wfPJT9pD3a/ge+AX5T/xhAdL+N/2g/LH/pAKp/2D+NgLcBc8DTP3r+q3/EQkHFrITFw7UC9ELgRIHFxsS1RWfG7EaERyeGAYdrCJWJHge6xqOGasX1RPbEjcU5xWVGDMQZwnvCHMHsQW7AoAAPP//+Dn4/vWn8gf1t/Ky8Mvvc+1T6+PnveRq6HDnjOiI6lzo2udk5eXozuum67zs/e1z7T3yW/MW7sjxdPTS+Ob5UPY79jP71/vP+7b5avwdAn/+fPzi+5X/sQFm/wv7wvrg+MkDPgQqDIUWsQkZDHsGwAXnERsVbBFlFxoYshkpG6oY8xs3H4gfixxDGOoVxBapE3oV6BX9Ft0Vcw0UCGYGjgTMBUUEz/68/Qv6H/hU+Uj3HvSy8I/u4e3X6LPo8es86zLsrunj6Mbtz+wX6q3pAOrw7nbwF/EO8+TxwfSF9ZX4evtY/Jv7oPw+/wT9E/2o/uT99vyG/nYBlgICAQb9I/zT/zQA8Psz+Sb4Mfrl90b6Uf3WB0kN7gZhBYsBTgr/D+AMWg3XD1MTiRgGF7sXJx3qH/QeHxpkFW8T6RTLFGATfxFNE8oQvw0kCDcGDwcpBnkDAftd+DP1bPVJ+a/5cPf39GLwbOxE7g/tXu0G7yTtjO297lHvAPOb8fDyPPbF8rfy+PRd9tP39feS+pn+w/8I/vn7MPsX/Ub+xf3P/Vj9Z/53/WD6cvpG/GH9RPkg9k33G/ng+bH3hfOT87f08+5i8e36kAHQBkUEW/1f/uIHfA37DHwLeQz+EPcXSBgwGwggSCQEJPYd4RhTFfYWuxluHMgbNxrLFoYR5Q9HDbYKxgerBAcAp/y3+7b76ft7+lv4IvMC747t9Ovb6gjuvO687JntdOtl6e7see/v7rHw7vD274zxqfUa+7f5Wvni+nL4r//F/XP5FfwJ/vsC3AOj/Lr7pf0O/B/9dfkq93X3VfiW+w37xPfv9a3xxfOc+Kj0RvB870L0wPkH/voBfgZqB9MC7gMTByUO8BE1EVoUzxjFHtQfch0vH3IjhSGNHtkcahusHo0eDhwcG/0Y6xXLEnQOTQm5BrYDEwJG/j/7VPiJ+Nj1dvEr7y3t+ujY6K/ogunq6lLp7uqU6SPr4+3G7tTuDO6E7cn1Dvk59tPzjvaB/pr/CPsw+OX+rP9T+8b7f/z+/dD8lvft94YDv/928vv0BvZ0/Br8K/Sk9L33Sflx92b4dvcz9Lv2v/wY/xn36/Rn+roEDg3TCmcE7AH5CDQStxJqD9cOqBbFHfEY0hVuFiMdvCKVIH4YixSqGNIaCBj/Fq4YRhXgE1wQPgmMCcIKiQZsBLwBPvxW+y/78vcC9yj0Y/SR8D3sdOt07FXvs+t3667qoeo868br3u2j7CLrFu8D9N/2xfRo72n2HPmp+jP4gPNY9aH/wwIY/Mr7pvun+28APQGl+az+FwMm/wz+EP/E/IkCjgi1/3j7M/xX/rYArQFo/oH8QgYVAmH8av90/t8BZwOl/8ICDgUSBbUFcQTXCH8MhgrtBTwJ6AoYDlANHQ1ZDFwNthJ2ELoMVg/yDXwOFg/ZB/kLJg3nCq0JbAWuAyIIYwd9BcgABfwxAF3/OP6M/dn3cvyH/s/1+/O987bzBPaP9c70Pvgg8jj0T/Lb8avyc/Bn/In3LO+q9vv3wvvh/Gz0fPiw+HP4Sf6d/mL6sv1f+q0BnAIp+7z+V/mN/wsGmvwo/F4BFwFaBEr/4AAIAcIAFgbpAn78U//b/1YCKAcUARf9u/9pBTwD3vzM+0IH0gqS/tr+OgXEA9wA6AfbA9wBlgnxA5sDCAmbCmMJoQejCBYIpAT9AkAGtQaxCaMHawEcCn0LQwXc/U381gbmBnD8P/0ZAfwADAMv97D/NQM/AjX4bvJd/ygAsv0o8UT+LP3z+pv3yPvQ/cXxoPf/+pT+FvuE80j6jv44+iv/gfRN/YL3wPtlA334yP2z+WkBlgYt+u75Of5kBO38cPclAusHPgqm+Tr1/QMeDeL+kP6U+v8A4QZfASf/cgGoA+8C+gwz9HoCVArw+nsFqgGX/6UInPyi/hAHWwBsBp37SAEmAJ8EFATq9S8KMP+9/lgFb/xMBHj9Q/4UB/n+N/5C/Q3+RgYAB4j8svs0BFQABgM8AxUDV/9P+R0C7wc9+ogAugBEAgEJUPiP/cAB1gQcA1f4hv2NBvf8HAYr/Jv9zQhI+dT9Qv8A+5r6XAVsCFn67/MCBFgD3fs2+r8GiPyC8TYGRP5V/vL8HPWWCF4A9PF5CQv4YP5nB0vzjwunA7r3MQXMAGwAWQHJ/ysRJvUR8QMV8f+l/5P91PLxEwUDE+S3GMb+3O2JCFb+6wSs/F/5ZPz7/4MHQQNk6AgH+Qgy+PD+I/lGDe8BIvMZASIIu/NJDTQBgPDUCHYHeQp5+af2BQlSC4r30A3y92L3FhAf/5wI1/wtAev/mPpYCOoEqPWBCI36jgAUDenxBwHj/YH81BNI6uD0YRBr7ZMfMu8h6KMS8QOd+e32PQFt/j4A7fS/E5/zbAGC/ogARwnI+6DxsgU7Cq331hDU5b4JVwZ+Cbf41/pqBer6WwTe/jcB9AFrBJb1KQmn/rYEzPLUB4j6FwkT/MDwJQ/vBq8DmuNyBqwHIQs+9ODyewZUDKz7G/Iz/+EQ7PT09BMOlvU2BmPuRg+oBvLlXQbRCHYAowbt4NINhBcJ70v/7QFT/kz6PxyJ8AwA/QCp//cFBPlOB9v3Sf/6AMECIf/kBzbq/QnEAnb/ef2N7+IRUALi+/ro0Rch/egGE/UO7ksquvTC+CTwoP9gLr30M+HLEn8MQQ5l7af9TRFOCf/51vX5DT0Lr//E6qgovO/Y8RYRW/uzCy/1P/xo/JsQUv6+9mvzKg8eAQPsxQubARP6cenTEzEEvOuDA2f6z/2n+KgG0vbuAAL+Gf2pBvL1UwXi90/82QPoC+31/+0TEHYQe+xMCRL65PAuHrbubwIK/FP5wQrDA9H11gIWAaP+zwN79UwFXQP0AI37/BD38qz8ugQrCWb5fwXXBrju0RhU8AMOHQil7/cGowsBAvD03/f1E0AXfNUoDScHGhHw9W7o5xD1A1EWLM4SFFgJuPh/BqDvxQN0Ffjr8u4gHMftTgUU9ZMMIgDC8/f9zP+jDyvvvvZ2ClcHy/Mh97EJWv+v/yn15ghmCCvutgQcB3L9vPoSCtHuchAJ9x4JMwP/7T4M4Py+GC/ctv2rGTAEmOuHAkgFF/88BEz2KgNk+tkMWAHE8NMCxxBz6jYKGQSk/bQFiP6C9IsSMgAH6hcfXuwmBQAHRgHi/FIJ0gPx6XYZnvqyAov/pPHhFPwASAGu8BoBNQlbCHH4Ze/4Es/7afhB/f4McgOa8frznAtVCrvzmus3EgEMOvOh+tH26BVcATjxkgN5+DsN1/mS+RAMSfvf/nACrAIc+RsCr/y3DPv25wOT/eEA+QCIAjX38gfaBejn3B4+7DoCeQA+BTsNh/QF72gRiwdi7tkDhwIaDHr0xvqjAUEKm/r++zz4hwRjCtT0j/4j/PQI2f3X+xQCpv+i/frzNxLy+2r25AUv/f4TmvXb4k8auhE17sDxUQktEzvtBASi+FcG5A3P96zxHAHuFDn4qOwaBj0dIdwRAe4RVfcoDjPm7/vwHLHulexIEVMEwgHj9lr+Dgfv/C0JvvRK/YQKF/1qBNcDyfM9CLALi/StB1b4TAMcAe0B0wrh7vH/nRNN98/1zQvo7iAQIP/g9rcEYv9oARr/uwbR+Sb6wAm3A1/woA0gBBfqUQqxE/by3vSDCpsKJPw4A4H2TgSMBKkBsgSR8AwOVAh27fQK5P+u/swAHwPP+qT9iQQL/M7/hfpSC2zwOAy7+tT6oQYW/YTvvgLOGi/u1uLvEfcXm+j7/ID0OxWO/mnyNwXd+tQKDveC/sIErQFy/sIAKwH9A7v/vPkZ/gYT+vgC9lkPPf2m/O7/AwRSApgE9PHREh/7ju/9Frv+7fMQB0UC1fkGDc/spAxMBbn8yPYD/akiceVe9LsbTfp99WwEDP0eEYD3PuqEGxgBSvAZCrTyuwuqAhTvpwsv/B4CywGm+bEAB/+z+JsGkQl16j/7Iwh8DAj91t8BE/IHPPf883z/VAql/4r2gfNvEb741gFb87IOLAQ+4kcTOQDd9eUKRvsoBrIGm+vhBiwN3/uA/jj5egk8DnzqHggNEG/1u/i6DpcATvYMCY3/fAsy9o34vxFJAyb5pAB8B8f/1gUc7U0TuBQL4KP9thJzD2Ds5veKDB0Bbv8s/u37aQd3/IP5qvsKFYnuz/RpC+EAJABq8VAANAs5BcLhDw7GCN32tvinBtr3KggeAhnnjQ0CDnD6DOrFApIZUPCB70kUagH26qIJsRFv86/2HwJoEOvvtv/BCMT4pQbiCSPy3/9JClIGzPYb9qEUnQBD8hwNewUV834J2gK4/fsD1f0P/HwG/vU8D9P6qfG2EmMGKPQA+pIB/QjBB6zrbQGdDJIDR/Qw+IMJ8QpN82P/tfRSEDcFs+/6Ca71LQeX/RcCb/RkB/b/LAIT+m75DQzk9Yn/4/1XBznxxQqk9ZP7whXk7KX6Kwi9AsD2qwKaB4n32/hFE271oPcBDDwElPrJAAMHM/wXBMD+OQMK+RkXe+v3Bp8G4fqQAWH/Swsn8/oLt/cBBD33lAvi9wQESQRD9REBgwLH/sD8sQaO9KkDG/05D/HrevoeFOLxHwBx/ukDkgqv80D0RBNEAeD3b/6e+iMbEvg65LgWnQdr9kICKvelET766Pc0C3vtehaaAnfd7xY6Bwnw6Qj5+vIBPfiqAsIG9Pub/b77EP25Bi4JHfRV8KAUaARD7PYEPgTL/nABYwXw6zQUAwaS6oYN+wPX+7//ZQWWBGj0rfzbF1H3uvrxC37wqhIQ++b3tQ1377YTk/548VMR4fkoAcT+dvmtCUUCP/yq834R1/xQ+ZgGk/nDAQwKnO13AgUQuPXvBEftpwoKF2Xo3vXzGfru0/3BA7D+TgTA9rQFoPkrA8gEmfLsBGUGXfay/Yz+sQ16+PzuwRDgBFfyqP1PAHgLfPPaBvj+ZfJeEPX7XwAd75EWz/vk+/L5qQYQAKkAXQSQ8bwSS+6xDef3Lv3TCun/0/LkECwEh+60A8wB6w1O+BD3ghDR8kIK8/5H9VUQlwVL8wjzmRvU/LH1ugAACyj3RwM7Auz7q/7SEEz0SPrI/OAQCv3g8ygINvWCHA/iif5mGMDxef/O/IT8/hU35ooEkAqw8GwUbeoD/wgWCPEe+PIFmP+lBhP1d/yPDfz5S/kzASoGqf0R/RzwDxSzBI7vFf+hDdj52u4lIf7skvY+BZkPNvur8IoHlf00BzwH//BXA3UKHPtu/lv+OwrfAPj3YQjWBx3rthWSA8jw/QW0DNf6vPKIEVwDpO1KDBsHqfMoDRH0mfcoHJH53OoP/IgTDRVyy4oPMRyB4DcKl/+J/YP7Hf+NBREBlOoyERcPY9kFEkEIO/HdA1n+lPxx/8IPWPLW8UcVbPlAApv2NwMTBfD/I/XEBAgSFOK8FWn3zwRaAcb2YAVsBNUE3OH3H4b+2vBsCOoFl/gJAsAGHe+NE4n7geziHwb4fOwEDj0MD+7b/4camOseA8n+9AZ8ASf8HAFnAvsBbPkvDc3uwgt5BDf1jQWiAMv7d/qmElLt8PuKDKYAyPqk9QIOC/h/+rYGBABA9gED8gHe+QAQJ/Vy8OMRAv7HAQ3uxgYSEOfu9Q3h7koABhoW7wHwCR3n8zf1shkC6xgFwAa3/I8Hbe3AC0IKRPJ2+YUKNQor8BcMpO5gC44NBe209vgD8Cqs0rD2ZSMq+//tyAN9Cwr1PBQh6WPzYB8W+aH8+vbWAMkSLPhU/Cr1DgQmG+DqcfErEVcCiAYE61wBohhZ9APi0CFUCqzd1gPuFpUDYdfHIE35//mSFZnTUCWgCJDXqRSmEULlDAOZE0rkSR+57+jxjhcl+1j8YvdHDkn55gBi/08FovRnDUL30Aiz+r30FhUR/Pj2Bvy/CeoB/QRn7FQNqvudDJ/4bvCsChwIigPS7w/4IBbEAnnjVRc6/6H2eP9TAjgDffdkBAcGJvG3Ai8YXeGGAFMdnu6m8n0KQwi68BMM/ARv48YPlRlj40v02RlV/VLu2wba/5sGRAIs79wJgAdn/YDyMgWdBzYE+vEX93QgPvLc88kDeBKy7mgAFhJU55YGoxzm4H3xOzSt4mL28hRd97MBYQVn9RQL0/wN+9H8Ngn8EZ7Znw9iEG34G/oOAu35uwpQCIzvOQH/84sogef+6sUeKu9VErLx0et1G2MNkt639nIqPfkX15QKJCUZ+b7O1BWPIYHtqe6s990hvAGt4EYATCUX54TsASS+87n75fQhFT7+EvGzCC/2WQt6A1r0bvOaG2b7O+rpEvL+PfaZ/yMM7P8J66EPwPwTBn37XfbgAXUbEfjWzqcxdgop5EL1BSg17yXs7RWk/aUJEPEMBH7/0gzt+97p2RfA+tgBiAAM+A8Bpw4994bwFBcw8y8NXuWyEKMIOulFEzXznAp1+EMQUdwlETgkJMQZHjkAsPjyBOn/cfMjFcIALtYaJSz5xBAF0sQcshCK3V8OyvyFGFDNwReXFiDiYvXjJBLt3viGA6T6mhbS6g/2dBF+AvP71/bjAbQdYclKLav1Cu4HHJHppAZNAWUMi++7CSLxhBh09mjrHCGS6UsGhf7jDNn4EvINGgXyu/6R/ycHbvcvARUO1OovE/H92u6qDVIPoOBJBcwraL0OJVoKAODhH0bwXPY1Cq4QF+JGBUgMWwXO6B4EeBNA9mX7S/zNB80LquUMEAoBUvjDDb7sfwawALcI9fbq/bj0GCgl2acBsh5A248WoOrfFOkG2tmGEnUWVOXRCVT+cvDfIFvu9fkkCl7t1yK58KT3PQmx688xXueF1L81Ighv2rASP/rgCVIKYuMkIXblbQ2QCWThpyR97NYB1xN22k4YlRCD11shXO1Q/P4fbc+yEhgcv9oVCP0Dq/wiCl32l+61FeT94/ICBYn8bBBb5wcHDg+p83v1nxA99XgUXOJX+hM5UM1A+4YbjQTt7hTrfBmQJI+5aw3cKQvrFPiq62kz8eQ57lsdB/Kt/XcI5AWg5ccLViG+2DTxYzhP5Rzq4BvU+7H4Jwqv+L3yyyOS+XzSniZXFQPTDg3yFJnmlgrfDOzkPxK6Cv/d4iDr/5fccCUO9o3rPxtJBYLXaxXNGx7mzOvzImzzVfgIH0HX8QhwFWTzHv5A/9P+khEi558Kjv3V+3YXAOJT/EYwyNdF7sEoUfT39uT7GwyL/dcDfewOD+8It/HN8sIj1Oav8SMjSv652RQcWxeEzCMqd+OQGGL04PMCFWf52wEa8uwW4u+7AlEQTuhP/Hoc5vmq3msc1ww25ir8KBXiBAXqPPXZGZMMfeYy8v8Q/Be87WLn7RNIGifVEhGdA4/9TwYr44Ue5Qdg5rP77BsU8cL+CwuI4RImBvB2+2wGlf9x/0cGpvmS9GYmZNLTF7YDuPcbAUL/ZQE4Awn+lPHHIAPjaAR+Ccn1pALsCdbx/PedIi3kN/mPEX8NudadDtIetOTs8qgSwggw9gT8/ub4P4bQu/VpJufvp/R7BGUgYNRWDUH/VRux7GbajjU79fb/uuSIGIQEdfJpCLT2BA0/7wwJyP62BejwaRHk+dvvhiIG4ucELAcd+KwSq+HCBG0pMtjr/XgRKQZQ8KsD2AL4+e0SIOY5Du/5uxIz+Kvieh8fDojYrAwYDOX+d/ZM7TMvC+Q17AIg4QMz230Z+fNnFVLxYfCiI3zaYh6z8Hj7FQMQGm7c8P47KEfb/Q518FoXu/xM5IMWfQlk62D7HRz87BACxPxEBokE//PzDR3q0hMDC6bk1vvrJcbz/dyjJrv3svpo+hIO3fw08HcZ9O9q/6EIHvZmCFwAaOr0GZf3nv4pDIPj1h3L9Yv4rRKt5NIL5xrt2IQA4DCIyfAYav/D/LkTQtT7HLQGWffu5qMgefsc/DH1uv91CRoG7QPCwNdIPvWk4YsILP9nHB7XSxNK9MUOQPku+wr9GQFTGqPa5A+b95EW5euv/z8DDgmI7MQZrue5+McvRtqo/7n4oi1Wz6QWegMG9YcIBff3A9MR/O3i8Ewi9e+NDGznFg1BCrb7a/cjABAPevuj65gWwg7p2/oLowyQBOjnPAYhEhj0U/UGEWABjOYDISzpnAAtDYQAW+YyEDkP2vAg9isGvRTv6iQCiO55KhvkXPZBCSgTwee4AaQL4Pue9lgF1ApF47Uu98KgLl34PutBFwr3evvzBr7/WfAjKB/HriJI/tIAdv5Z5OM1UuF89bEG1RY/9WDnnhhAB9f6ouDqImsPQN1q+64mn+pn8TMcBOxIE8zqpxMo9KP67x93378CTxYo8tX+fQMG+xkD3wUc/Rj2UAn+AAn+eP2Z+XEImAn15boIVhBO6jcDbA6G7lMBoQJvCV3yR/8rBNv4/gp1/hjuAAnEFlneDgxvCGz3jAKn+/oFeAoK5f8ATCcd7UfgOB0GCX30EvOSDlQPCtsGHAj2Jvy+Db7wmP+PIdTIZhquHmfKVB8v+HELVd8TIBn+a/Jl8fcoh/cc2HskgvWdDRTrYgeD+A0eTeEyA5YI/v1GEaHcOA7OE4ftz/xXDfH85AGS4VU7Rd6x5Co5s90HA/ILzvV2Bqr7cwDnCgnmmBLhBOv0G/gBDVcFruvs/FQdQ/RF3XAn5fju+LX1lRFX9HAKO/GGB4MJq+hqIOzh8RR+/UfyBQs9EzrdlxLEB9/gnS/v5LP13hod7TINq/hd9uIUT/da9gsFzRE661gEqQBiA0L+/foWBTv+QPy5AXcLyOhND/YEZvVz+PgP1gb13tcV+AcA9GABNwFBANoME+aZEDQECO9eENT31AG7AG380v0aDzb0ifYVC9cG6OpiFyPyC/NZGh329Ps4/8b9JQMKA336FAuw5qgWiAJz8zcCV/xcCWkFFPTE7rUpl+QLCGb8MwLeBvbyzQ6Y8dMLx/olAfr7XAQJBrj4vgLD9lAO9QTc5ssTEPf1Cbj9Pe5iFHUFb+d7CrkH8fWYC7nnXhZoAZrnHxX2/ID7cft7/0UTeukNAncN+fcX+lsG/Po/Ee/srvm0E2z/0vfo9b8TxfG0De341/2GAHoC0gPA/Lv9nv9EBN4CTv0s9oEMPgae7T4GQgvA8dkJjPr7/y8CTv8g/JMJxvok9aoFzg799gfsCQ9qCpD2LfGvEfP/+PNBBx4DwfZ0AmIM4+1AA+MJHfyQAQ7y4hMZ/xjz6wL9DP74XfhDCb/8kgr+9On9fAlg/kIGzPUs+csV7fRj/jj7EQatCKXy/gFpB7v8lfjtA7YEcQLZ8boE9QgV9VMGfPtb/cESnul9BGoK9vMwA5YETPkxAhMAlQGP+mIDSgpp7UD7jxvq8jjtkBv96bgVU/i25+cjiPYr7X0IhQaCA8HzEfuVEKv90Pfm+GARaP8Z9Dn57w3XBGH07gKK/WcRj+rcBjwNMPA5BuoCjPvrBNAEZPHMCTf/HANJ/GX5ow4j9jr7wQ11+Kz+Kv6LBBUCHvR4DJv+GfIxCa8LWfMP9sANmAXM+Jz2BASNC278Xfg9+dEWq/n477wGPgdvAtP6n/QiBzoSK+YBAYMPCv2Y+Bb5NAnOBWjyagGfBqf+e/1h+m4Kmv838tIIzAhe9oD9DwYcAmL+4/dwDOEC1fdA/f8BqA3q9972tQM4EVfzuvtSCsj7KP8Q/RgHGv06+WgHIf9d+/cJDfNwBEsE4vqDA8T48wdF+Sz+ogeeBgbtIAWnDlj1UAF+9RMSlftu+CwDzAF0BH35OwDx/ooNUfL8/koI9PtqBaj1bAXfAdv/7Pyb/24EUfopAtX8BwWq+yf+vQKj/EP+xwKCBjvxbAXGAZr7QAv381T4mAwoBUrwxQKXB2b6hwG4/2oCwf4/AUH0UwtrDhPw3vokCJQIbfWOA2gFkPiKA4cIH/iQ/soHvvzCBA/+PfsNA5wGEP6Y9DgDpgtF/N3w0QUpDCT21/bqCJQEA/YA+/sHcgN69r/8ogWWBGP3VP2KBCEB/P2h/TUAaP/wA8X/MfzTATQB0f7tABH/Vv3OAWEFkviWAIAH4fWaAT8G2vyV+/r+owSqArP5HP64B9P7oQBlAVv6RQfe/Tj+EgLT/1j+4AKrAdf5rwRwACr+a//YAGEBkP9MAMv9dQBkAY4AGf+4/JUBYwPU//X76v7NA0QDUfvj+0YHDv43+6MENgJX/v/60QPfBKn7nP2y/20Duf+i/O3+ugQZ/1v+9QAX/7UCO/14AMj+jgGnA0P8Ef51BN3+Bv5HBgT61wAIBhz5aP+/A5MAVQB1/j3+PABXBKP/MPuNAA0D1f3d/QsCNgJp/IP+QwNu/zj+XP/RAK/9BAKjASP7QgIBACn9sAIb/gkAmQHy+qkCXQM0+0QCEQBxAAgBIv29APkDSP+P/MUCOAFf/80AAwJS/IEA4gEKAqn9+v4YA+v9SQHS/+3+6f59ArP+kf/D/zP+MAJP/xz/i/5G/1wCVv7X/Yj/rACyAHX+ZAGI/BUC+v9q/lIBQACr/er+lQSg/RP/TgBaAQEAHf9PAXf9BgIWABn/BAFb/+b/AQAfAO3+8ABA/kUAdADf/wf+vv/DA2b85f0sAacB1v8+/ND+jwNSAWn74f/xAu//gv9K/rMBJgKC/pP/qwEnAQ0ANP/LAmv/TQDr/2AAOAQs/SEAvgCEAaT/Jf+pAQMBmf96/5n+7AA7A0X8c/8YA3AAkv35/ocBzgHq/Iz+JAO/AKz79P+6A3r+a/6V/vwCEgAt/Fr/QQEJAcT9ev2LAX8Cnvv0/5EACACU/UD/aAT3/LH9YwGfAeb8sgDQAFD++gH//iP/NQASAQwBGf4oAB8C6v/k/Q0D9ADu/PkBywI//679ZgJ0AJ8Anf9WABgAswAi/4wA6AAO/gQCNf4HAL8Clv2d/i8Djv1KAI3/7/53Alj/RP4z/ygDuv7F/n0AXANd/TP9oAMhABn/Nv8XAlAAy/1bAXIC3PsFAZ0BQP++/6P/gP9Y/9EDMvuNAG8Dz/4X/bwA6wJp/GQByP5aAUL/4v8SAgb9MAG7/yoBov4u/ocCKwDj/CYCh/96ABsAd/2wAqUAPfzTAUgBRP7aAYz91gHqAJD/n/8//7IAIgKa/YT//wH1/pEBkf7H/sIB8QCw/QMB7v+6/yn//P9WAbv/Sv2hAbcA3/2CAE0AigFK/B8BBwKZ/T3/gAKwAP786gBOAQYAvf4QAegAQ/43AZMAtAD2/iX/EALB/6n/9f5+AOQAgf9N/04A8/93/+v+qv/5AMP+nP8UAP3/n/+k//4AHP/4/3v/SQDR/8oA0f+P/lkCt/6QANT/4v53AfX/J/4YAZ4BWPz7AkwA1fylAh4Aav5DADUBi//y/o0AngBwAP/+iACc/2gARQA5/p8By/8vAH7/Vf88AaMApP3+ACgBEP5qABX/RgBz/1gAGABl/gIA2QFM/ckAmAAv/lYBDwADANH+iQC6ANP/Yf9aACIA5ACP/1f+KAGsAFH/5P62ACEBhP4A/rwBRwD5/Wn/zQDUANz9bP0YAzcBGvy8/+wAWQBw/yf+NAAIAVb/Rf/cAJD+dwDEAKr+/f+UAH0Atv+T/+AA3AFL/i8AygFGAOz/7P6BAk4AQv+YAEMAIwEk/70ACwEE/0IAnQD+/+j/9wCs/qIAOAAh/5ABBv8E/3YAvgED/m7/tQBLAIv/eP9bAaL+9f9YALYBOf62/qoBTQA7/57/rP8IAa4A4f1jAOkAO//O/sgA/P62//EA8v7o/iIBu/9c/tAAqf95/8P/2gCQ/pIAKwCd/2IAwP6YARQAxv49AR0B6P4gAXb/OQGeABL/wQBJAGAB4P78/24BTgG5/YYAGgG1AIL+7v8mAQIAcf/a/1UBy/35AZH+UgCt/wQALAC5/v8ATgB7/0r/pAAhALH/nf7BAfD+A/9BABkBuf79/p8AvAA6/03+4wAPACUAB//d/2gAGQAV//AA7v4PAAIApP++AFr+twB0APP/yP2DAu7+f/+mAAT/zgHq/ZkA4AA0AGf+RgCuAKIAsv7B/lgCcP/P//z+kAC4AGAApf53/64Ch/7J/g0BcQJs/Rz/7gLo/l3/0AA6AHr/WgBvANsBhPxHAZYCVP6H//L/yQF5/t8AoP98/+L/ZwHN/sT+RQJ6/YEBt/5LAcT+yP/sAFP/DgCi/qMCRf3QAaX+IACqAPX9JQHz/nwAK/8uAFv/agBw/uAAVgDT/g4AFABpAKP/tgBW/4EAZAAjAF3/iQESAIv+NQFvAS//Rf9HAboA2f4gAcX/I/+xAUn/GAC8/5QA3/7hAWj+AABIAAsAWgBP/q8Be/7H/zkAvgDm/dYAZwD0/+n+0/9pAiH+rv+SAPIBTf1wAO8BMv8I/+oAbADy/q0B5P0wAfIAov4jAP8A/v+C/7v/6ABIAND+PgHq/1D/CAC7AMn/bP+z/y8B3f8r/2r/ggE0/zH/7QCy/2AAlf4kAfUAsP6u/5kBFf/P/77/uv9lAWP97ADPAA3/AwC8/1r/nAAWAA/+6ACxAPv+gv+zAHUAif6AAO0A7f51AMT/Sf/EAZb/ov+Y/xsBmQB//u8Awv/p/8EAnv9V/0cBV/9g/8gANQDI/nkA0gDQ/jEA6P+ZAHr/sf83AKQA+v57/4kBc/4vALD/VwBd/5X/rQD3/noA6v7PAEP/ZgCx/hYBi/9P/9sBRP6jAFYAuAB6/t0AxwCy/zv/vwA4AW/+TQAnAA4Bev94/8H/ugEn/17/HAD+/0oBlf7D/4QA4gBW/gwARgGy/5n+xACCAXH/d/4/AZ4BMf45AEsA/gDQ/8/+JQBoAkb/wv1nARYCgv4i/m8CUABo/lIA9gDp/3//AAA2ALQAl/8b/w0BewBw/rcATQCv/uEAIQAq/6b/ZgBg/5r/X/9vAEP/iP+UAEj/ZP9A/4kBN/6u/wUApgCu/pL/0/////QAJf5qAK8Aof88AHkArv/0ABYACgBYAAMAIwF8/yEA0ACHAF8Ba/6NAGgBVwDC/wb/RQH0ALH+2/+kAKL/lP+z/6cAG//x/isB7P+G/p7/JQDDAKX+p/9/AJMACv9g/6UB2/93/ucA/ADv/oIArP8dALYAVf/Y/8EAlv8N/60ABgBs/2H/AQAkAIz/Sf+4/zkAav95/zEA5/9P/0IAZgAJ/y0ARwCYAAX/aABIAIb/uwCk/9T/9v/j//L/oQD//jAAugAw/4MA2P+a/yUBMv9Y/5IBTv8eAK3/GAA1AeL+MABSADAACgDd/77/4ADu/xP/bwA6AOcAav5t/zwCZf94/gcAgQHB/2P+SQD+AIv/wv6lAJcAqv+2/jEBiv+j//YAr/5jALcAt//J/2QA7//o/7T/QgHT/wv+dwI4AK7+8P+CAWoA+v77/z4BkwCW/vgA+v9nAAQAiP/GAKj/nQDa/+3/AQAzAKj/vgA9AGD+zwA2AOH/x/+Y/0EAm/+ZAMb/Vv7t//sA4v8A/6z//f8AAf/+tv9yAC//EgBVANT/+f83AA3/bwF9/23/EQAPAFMASv9p//j/6f+P/4v/wv8PACL/SAB//8T+0wAp/+v/FABB/88AiP8t/+MA7//D/1YBV/5qAUMAyP4fAsj/av+QAAsBa/8kAJz/OAGz/3f/gwFs/7T/6gAAAHD/YAEz/+f/uAD//5UAl/8dABQBN////7AA6v5GAH0AO//o/vYAAQDd/sb/lgDU/7H+1f/cACD/Kf9xANr/6/+r/wEAcwA6ALr/Yv/VAAMA4P+b/20A0QAG/yYAKgD4/2YAtP/W/0kAlv+OAAAANv+zAG8AVf9fANMAIv+KALIApv8OAN8Ay/9vAB0ADgAUAIkAHQCH/50Akv+qAOn/1f8RACIAXf+kAHoAs/1yAGwBtf+j/qH/2wEzAOz9qACjAIb/hf+T/+r/fAAG/4j/TwAFALr/b/8BAN3/mwDr/gAAyQDO/2b/QAA0AB0AYwDb/98Aw//g/7kAwP/YALUAcP84APQAcACZ/vIAJQBOAMT/ZP9mANcA2f9c/qEBl/9O/ycAaf/v/8QAXP9Y/zUA8f8pAd79dADEATD/MgAJAGn/DwEoALT+vP/iAJ8AVv6e//oAlv+q/yAAo/9C/0gAUQBXAIv/kAAdADH/vwEzAGL/iADS/5gArQAD/7sAYwCTAI3/TQDDAPD+hf/n/2sA1P4VAH7/4v9e/kv/of8tAP3+0P5LAH//CAB0/q8AK/++/8T/5f8TAAv/1QDBAMAAS//lAAsBbwA6AFsAiQG6ADEANADkAB0BAwCl/w4BWwFQ/7D/qwClAC8Ahf9xAFMBjf9Q/tkABgH9/pv/aAC0ABIA5P6x/w4BMP9u/wMAAADV/0L/mf9nAFgA5/7a/5kAkABA/z3/kAAG/w8AbgDR/2//6//7/77/bv8aAAsBVP8WAav/y/8yAAsAmQB9AKX/Ov87ASMBmQFL/zEAKQA4/7MAm/8+/xkAaf6ZAIYBEACPAGcAIgGq/yT++f71/Xj/xf+eAFEAcP6T/8n9O/91AKYAswAFAVX8TfwoAFcFYgZX/zMFzAKSBAoE3v36+3v+SgK3ASQCsP8UAFb9Hf7Q/nX+u/yJ+8L6+Pnk+iz7sf54/jn8MP7J/yj8GP1p/PH9yP8j/m3/VQHIAmwA5wIoBEcCoQHCAcsCoAL0ATYBGAO1BHEFewLZAVIBGf/1/1YBMgAZAK4AMwKiAX795P2r/zgBUf8a/vL+zv6z/4wAbABrASACoQF5ABb/rAAIAVP/VwFiA3kCvwBuAIsC4wD7/00AvgLCAf7/7gDT/wX+7f5gARYAQgC6AC//tf4C/qP8bP1G/kz+qP17/GP9Sv46/hz9rf6V/ur92/0L/m79X/5pAPT+BQBMAVUAmQHiAXQA6ADLAF0BbAIwApsDpgO5Al8ESgUFBJQCsgQDBVsEIAWkBf4E8AQeBgsG4QXEBEwHHAbZBMsFQAYGBk0F4wL2AW8A3/81/pT9av4p/A78YvnK+IX4ivSS8QryVPLr8VLxsvC/73Tv5+2h7H3tqu9i7yPtjO7m7+DxQvRM95f4uPmU+Zr75/0Y/xf86v2yBx8QDBS9D8wMbg3LD1oWJhnUGQkedB3QHOAdOxqZGMoYAxlDHPgeSRx3FVMOrgydDcsOxA7XCEMBo//9+w74Cvf286vxcPBr7+fsoOow5xbl9eSC6GHq6uch5Q3kI+ec6qDumO4i8OvxYvPX9dH3gfqm/IL9tP7+ARwE0gQHBWsFOwVeBaUF5QQEBhcGlgVSBtcD0QCW/5L+Cv9BAUD/7vy/+0X6tvtP/soDHwWwBjoCtPvd/SoEsAgFDM8LXwuSDVQMCww6DX8QyhKqEoYQpg5jDo0MxwyfDqgOaAx9CK8FHQS0AyQFnQF+/j7+sPuH+dL5ofp6+jz0WPEq8nXxcvML8ljxFvSA9Inz4/GA8OLyk/Rt+Nz5svj99Ev1+PgP/JT/a/1N/+b9kv2r/Un+of42AMb/yP88/jX8nPwk+iv+xf+j/5z8DPpU9rn3RPnd+uv44PQB/dEDPwsfCIn9RvQb91ACzxJLF2gSRA7MCLoLQg44EuIWnB0PHEUZ3BLHD2oRVRJ5F64ZXhhhEZMINASvBTAF9wedBCUAkP0V+Yf0a/PA9PryEfL17e7s3uvF6mfsZexw7Hnr6uoa6pDqlO2R8NDx0vEq8G7xG/Rx9vj7a/9L/nn9Sv6R/VP/+QOUBq4GvwRcAwQCbgMaBWgGFgc1BikBHQCU/wX9H/0V/e7+wvtM+dP4MQIUBVkGLgKD86jziPvrCNsRtBCCCEsCQP9pBaMLrhDeFcMUxRDNDOMIoAkgC3QPMxXQE8APKQpqA28CuwfmB8UHnwXLAqgAdf+R/on7GfqE+pn6aPu2+S33g/fd9Yv0hPNW82XzBfUO9Tf2JPbl9I7xnO9q8QD09vj3+mX5m/dH+FL2WvfY+g38UQANATT/3P42/wD/XgD/A8MDIQSLBDkDUgLmApAC+AIoBI4CCAMHA80B/AA3AjEBLgEq/rH9Ef6+/dH95P6VAQgDdwNv/Qv90P1jAn4E3QOWA08ChgTFAvECjgQoCRoKkApuCfcHEwjXBwsJOwshDu0NzAtdCvoK8AqjCnYJFwkACRUJOQiBB6IGfQNAApAAQP/a/mH+R/3L+3P4U/eY9qv0O/Uw9J70cPTF8Xzw0vCG787wn/FL8gX1+/NQ8sXx8PPL9D74gvoe+yD7ivz8/Ar9T/5//2ABxAFqAioBSwFjAawBiQLOAVQCEgKFAdgAxP+LAGwA0f0i+MnxmfLxAlkN5wy4AMPtaejR8/sJbROUEPADD/lK/DoDjQeaDjkTYhIwEroPFQujCqIOlxWwG8UYNhVpEucOSw+sEAgRvw42DXwM/ghnBRsDO/21+vT6Tvs2/Uj55vEE7+fri+sZ7tztN+2X7V/t6ulw6NPnx+mc7UXx3vOB9OPzL/Cl8Wz19vkA/hIARwGoANUAzwFnA7QGwgjuCMMIowbeBUwGCQW/BNkGcAbCA68B/gAHAK0A8f24+rn5s/l1+1D2CPVr8HHyFfHa+rEAnv1++/nqYuzy+TcINQ8PCq/9VgCkAq0M9RPbEkoYIRkAFg0V7RVcFhMdux1LH18cQhoGGPQWPxXuFP0SJg+cDSgLKglFBCkBe/yc+i735fUm83nv5u2q6XDpYuja56XmIuMH4kvkH+YQ5xHo/uVU5wnrfeyV8LTy+PGj9DL2d/lW/Wr+wv9LAEcFEAdpB4MJiAuvCvgLKwzJCnMMyQuXDJ8N9AqqBvEFrgSPBAIDpQHyACD+xf5d+XP1pfUR9cD5B/mu91DyDu9I+R3+q/07/RD13PIzAqwIOA13CWYC9wR4CvgOexVwFdkUlRhOE3sVnxQIF7wWuhgfF28SShPIEQkQCAw2C5oGYgXhBEkDlAAU/Iz48PWy8uHx0PH07+LuYOx86WfoTOcs51PpQOqw7RXtj+sH6sjpJO8K8yb2dfYt9u31hvm4+0/9E/5qAM0DNAXzBQ4FIAU2B08JlAmqCVcHsgj/CWUI5weGBZoETQX+BJEBbAGfAHH9nvwz+W35y/m193nz0/Xi+uX9yfjv7znuzfRqBWMNfQib927ywvU3BAMVxhbuFNEL8wmNCYAOQBN+FCgbChp2F6ISBRB0Eo8VyRTLEugSew8FDOMLWQeTAoQCcwL/AZIAVv9b+UX2RvJZ71Xx1+/L8JTxn+436fPlpuaB6CzsVO8C773sPemr61Tt0O728jX1Efcm91X63Pph+v78ev9lBEIGYwcDCDQIcAcZBnoI5wobDisOGQzOCu0GNwXRBpUHTgYYBmME1v8m/0//kvt0+r35Wvkc9zX3cvLp8Svx+vRNAO78q/cX7NvqDfciB0EO4glq+iD3Sv7nCDgUcBK0EjoOWw+SD/oQqxIHGDgcUBvsF0MSexMsFO8TvRO/ERoPQA63CmIIDgYQACT/IP/H/o38l/dU9a3xW+4m7mXthO0/7XXrSeqX6MXmGugg6QbqMuzu7iTuce1i71PxBvOU9Ar4h/lv/Gr8av0jAWcBRgN3BqgHUgneCXkIqggJCuEM5gwQDMcKKgkxCZoKBwhLB3gGHgK+ABYA6//l/e38DP2h+p/4TPgT98/1r/V+98HzkfBS8sP08/0Q/TL50fHW8RP8gQWYDbgICf/U+1wCcQt9Fb4UVRJMEg0PKREbE9cVyhnOGvkZAxYQE+kSIxNSExwT/g9zDWIMLAiCBhQDav8t/rD8PfwJ+8X00fA47+Xure2M6rzrfOxG6yTqjegA5t3nUOuN7GHuKe5Q7Z7uv/BF8+H1YPlB+178Rv4z/z8ABgMsBdEGjAnPCWAKBwv7CVQL2QtKDQYNGww4DaoK3AgGB7UGwwZFB5sEzgO0ALL8R/xc+7X7uvou+Iz27vTq8MzxhfD+8AX0Du6J7fLsJvGn/uf5Hveh79/n3/V4BKkLPQzRACr8HAHKBqUUwhd9Fo0VoBPGEmYUaBcJHVQfXB22Hv4YzBZ9GB8VyhZaFuASQhLDDTEK8AdMBMAB9/8M/i78o/m/9ebxWe5c7Ozq1+o26mbqiOnA5njkFeQj53vpeerC6SPqa+zO7TDxEvJb8uH1Hfpo/DP+3/9OAK4BiQTNB5kKvgvvCg8LPQvVC0QN+w2qDhANTgzBC+UIPAkQCccH6gSMAuYCqwERAY3+H/se+T/38vZd95H1dPOp8UnwEe/e75Lx4PDU72Lw//CH8JLwJ+4P8j4ADAWE/uL5bPNm+IMFhRQrFaUM8wcgB+QQ6xheHP8bQh3sGDcZ+RkzGuYawh7tIBUcKRl8FR4TwhE7EcAP6w04CwgHgAMwAHH8J/rw95j3e/Vx8uvv1upA6G3pVOiu6CboKeVo5IfkHObh52npEOpR6YvpNO4K8Gjz4/Xt85v3CPsR/eUAZAPKBFkGogfjCDcKMQwYDrUOnQ4BDj4PTQ/TD1QOlwxoCyEKAAt1CTEHTwVHBIcBvwBD//n8pvsD+r74p/ZO9tL0mPTW893w4e+c8DPvF/AU8cLv2fAO8ETyOPLK8pr0zPC78qz2ZwDzBacByvvl9q/6UwqQFFAWExO7CCQJDhBPGNQf0iG6HT8aYBpMGnwZRBvnHp8gZh6JGkAU3g5aD/gO7Q8KD9EKKgYTAMH57vfT+LP3x/Xg83/vaOoy56bluuV15mvodefI5EfkUOIa5L/mxujv6vDrAe4378Lw6fEh9Jb4I/xh/UAAiAEkAmQEtAdjCrwKlQv4C+kNig+hEKoQVhB4D5MONxAaD9UNqQ0tDBULlAnrB/wFMwRJAxgCQAAQ/s37rfoO+BX2RfV19O7zxvL071fvc+9Y7XDt7O2x7Wjunu3D7lzvW+728MvzKfXi9v34VPs8+Vj2lfxVAwoQ6g6IA5wDKQRlD4QbbB9vG4wRGA7OFJocuCMcJMQeqBpxF7cYShmIGf8aOBpFFnwUhw/1CuELaQhZBxQHVgJ7/zn8E/ht8zDxaPFc8crwLezb6Efo1+Zd5kXmleVR5RLnuOh26DTp5uio6eXrDO998pv0vvbH9S/35PqS/Cz/mwFjBLwGBgfCB6MI7QnlCzcN0Q4eD2gOOQ3iDMwN/A0WD/MOYA0bDHcJtAeFBqgH5wcwBr4EEwC4/cT9ivwf/eT8vvr295r2qPVP9In0vfNz8sTyVPKT8Kbww/D58IDxbfL78N3w9/AU84j0MPRs9gD4FfnI9tP2+vuIAyMK3wks/jgAnv02Cv4clhfvFlcK+AbeESwZmyBvILMZ+hd4EoYWahmoGdgerBoHFWYSNA7wDGAPeA2GDuQJogIQAW3+m/s1+kX3xPcO9sjxGe7p6wPrtuqQ62brcerz5jHmmeYS6Zfq4eqH7DbtUe087WbvP/IL9Qj4VPrV+S/6Y/vh/oIDEwUoB6AHeQeLB1QJ5Qy4DjYPtQ60DtMO+g18DQEPbw+oDo0NrAvtChQKWQiOB3oH5AUzBL0Co/+9/R3+rv1S/Wn7MfjM9f70FvZK9a30A/Rm8s7w/O827+Twb/Le8bbx4u8W8PrwvPPd9NnzG/Pa9Iv3x/kY+sX4tfrr+wz+Sf7x/7UCjAsJDGcHXAVsA0ALBRMYG6Ma0hJEC1YNihYLIXwiSx5JGa0Q+xR2F4IbeB0FGcEVjBG1DgEL2AvEDRkMLQg2Aw/+Jvqo+ej5B/js9TzxUu7o7L3qy+mt6R3pheiK6DjnruY05lrmkegP63vsvuxO7abvsPBM8oL15vYf+Yb7SfwV/t79NQDYBKwGuwe9BtkFeQdxCgQNyg6lDagL4wsYDFQNjQ5/D8gORgzQCjoKFQrYCQ0KYglRCcUFvgHVAXoClwI7AkgA5PzI+sD5Yvpj+vb5q/jb9vH2n/Vd9M/0LvXN9Vb15PXe9Wv0e/TR9Xb3Dfj99/n3Lvl0+on5SPrz+5n9L/45/mkB3AACAf8BpQJrAikD/wCTCZwRQQtDCiUBMQExCzgSsxfuF+AKZgPUBLUM0xgjGFQWKw1GB4MG4wgjDjcScBBiCRIFPgBN/90CEQX/BHIB4vuQ9+j0sfYT9333IviU9DfxK/D/7yTvifDP8YXyp/EV7yvv9u9d8o/0OvXE9UT2SPX+9g36d/pQ+6v7df1Q/wAAlQAHAecBwgJGBA0GOAfeBYwGNgc2B3YJwwlVCSIJ1AmICfsJagqGCewIlwlrCRYI0AhhB/gFKAaJBTYFAwWSA30CUAKuAPT95/5C/3T92Pw0+/X5JvoD+nv4LfiF96L2h/cm+Jn3m/YH9gf2E/ev+Kr4jPjf+Az58vnl+Zj5y/rk+xL87vxQ/cP83/yt/Oj9pP6t/gr/5f3t/pkA9P54/8r/2//RBMgEAgUMBNABEwOKBcQKOQzZCuMI1QdJCkcNQw6LDh0OTw3qDDEN/g3YDcgM0wzKDBwMqgkmBpgFIwYXBiMGnQMpANf9cvzj/E385frq+Nr3p/YV9c7zmPTO9Bf0t/RM8nTwtPH48pX0nfYi9V3z6fNA9ej3ofk5+Zr5QPpT+wz9Mv4z//H9Q//oAbgCEARJAxYC+gJ3AzMFRAj1B9YG0wXKBfIGQwdNCGIJHArtB8gF6AUlBzgIUAhHCEQH0gS4A+kEwwXWBOoC/gG8AaIB7P+v/qf+nv58/Rj8R/vW+oL6mvm/+Lz4cPjX9nj3Yvgm+MD2cvZ998n4zvhZ94T3b/gA+Tz5tvrK+m769Pk++4H8gPur+7787v2T/Wf9zPzb/IL9eP1C/3n/Av6w/br+7//AAIEBgwB//2wA+QOKB74ImwVyA7cDJAhYDGEP8BAFDcgJQQleDgoTCRWHE9MQrA6UDLoNsxGtE+gRGw75CX0HbwYvB50IOAgnAwv/Y/xQ+nP6Wvr4+Qj4nvTC8CHw5/B88O/wRfG37+Pt5Oys7dzvJ/Gz8bTxQfL08Ynyu/TS9vr3O/np+t37VPwi/Dr9o/8KAh0DsgMTBNgDsQMbBd8GgQdaCLsI5wgACOcGxQcXCuAKkgpqCS8IjQc2By8JCAq/CJwGOwUHBWsFTgWaBLADvwGRAFgAgABw/xD+w/x1+2H7ufu4+8j6Jfla9+T2Mvha+af5uvi+9xr3sfc4+fP5ePp4+uP6M/sx++/7nvxv/TP/uv8k/9n+lP6Z/zUBtQFaAVgBPQH6AB8BRgFuAZ0BCQIkAj0B9ADIAJIAUQFsAXYBXAEeAXEBZwG5AGIA6ADrAeICjgL7AWYBpQFKAhEDCAQWBIQDcwNABFwEYgStBEQFcgZcBusE3wQ4BcwFTQYMBpQF5wQ0BBIENwSUAx8D0QJ6AkACDAEy/wD/nf+I/1D+if2I/A/7UPuC+2b7j/p9+c74wvjx+G34g/jt+IP49Pft92z47vgH+ZP57flV+Qn5Bvoi+2f8i/xs/Ff9d/2W/YT+IAA8ANIA/gHeAbsBCQJXAsADlQVQBWgFJAUMA2gC+AQ3B5wHWwbbA9MCzgPnBBMGsgfVBR4DVALpAhUE8gQqBeoDKQKPAKUBtQMqBDIDxgE4AToBgQGSAoMCZAFcACUALgEiAdAAYwAVALX/Iv8q/xv/T/4p/jP+qf1O/R/8Evw4/FP8Cfwz+4b6CPqP+p771Pvs+nX66/lY+mv7Qfzh/B39bvzM+4X8d/2w/n3/cP/+/qb+5/65/30ALQHqAHYAXwAsAKAAFQH2AO0ABAFQACEAWgBEAF8AoQCRAMn/uP+0/9b/EADd/6L/Uv8z/2f/QgAtAFP/w/75/sn/PABJANz/Q/9N/9v/tAAlAa4AIwCl/1gAVgGqAdMB3wHKARABhQDyAd4EmwU8BWED1wHUAsAEJgibClsJJgUOA9AEoQgFCykLQglxBhwFQQX1BpoI9gd7BRoEZQIpAf0A/ACvABv/Xv2p+zD6MPmd+ET4GPi49gX1RfQc9Njzn/Mn9HL0NPQo9GP07/TL9an2cfeE+Hj50/n2+nv8Kf0p/pL/GQExArUCNAPPA/UEDwYzB+gHugd6BxoIxAg2CZYJFAl7CHMIagjpB5gHHAdMBucFiAXvBGcEygOjArcBLwFpAN//uv8q/xb++vx/++f6M/u1+537pPro+FP3qPe1+Mj5sPm5+Kv3Ufe/91D4Ovnr+QX6Lvp3+k36kfqY+zn9Pv6q/lP+F/6d/m7/rwC8AVkCHQI9Ap4C4QI0A2IDogM/BNYE9gTNBJEEQARCBPoEoAU6BusFAgWRBF0EvASsBQwGvAV0Bb4E+QPIA9sDDQRWBK0E6wOyAgUCZQG6AZoChwKcAZYAYP/m/jH/wP+8/8v+iv3E/NX8C/0s/cj8EPwC+3z66Pqw+7P76Ppe+g/6Ofrs+m37bvsM+7X6Efv3+3r8pvzW/BP9Nf1O/fT9iP71/jb/oP8HANP/k/8qAIcBJAIpAssBcgGtAWwCTAMCBDMEggMQA40D9wOABNkEoQR/BAMEjgOjAxYEEQSiA0IDqgJhAlMCcAJEAowB2QBLAIcAigDl/3z/Ff+4/sP+Af/W/kr+k/0g/UX92v1n/nn+7P0h/d/8Sf0o/h3/iv8u/xz+p/3B/cH+GwCUADsATv/E/oT+N/9NABgB/gAlAKv/Wf+d/04A8QBlAaEAnv+k/8H/NQBZAAsAwP91/0f/KP/v/o/+qP70/hn/4P5u/h3+2v0G/o7+q/7P/nz+Uf5W/g7+7f0N/nT+tP7w/tz+h/7e/df9uv6X////rv86/9v+Bv+w/4kAqwHPARUBdADBAGYCyQNVBMsD1wLVAgUEFQZyB1MHIwYGBVoFwwZoCCcJwAhHB4kFKQXABcwGmwfZBtsE7AJvAXoBqQL1Au0Bxf++/Zz8gPzR/O/8c/wB+1z5k/in+MP4tPhv+Fj44/dc90z3hffc90D4pfjU+O74xfhG+Q361Po4+3X7M/z0/Ir95P0q/sb+3f/UAI0BzQEBAvYBqgL2A+MEZwUnBcgE4ARwBRIGpga2BnUG0gWKBWkFfwXhBZ4FDQUvBEkDmwKMAqgCfgLVAVUA9v6T/sj+AP+i/tr9avxR+yv7dfsv/D/8V/sq+qf56fke+9z77/uh+xH75Pqi++/8gf2n/Xb9nf0G/pz+QP/E/zEAcQDXADoBSgFOAT0BgQGPAg0DGwOGAnsBhAEeAiADpQNtA18CbQGMAdQBhgLDAoACjwHeALkAxQA3AYEBbQEQAWsAxf8UAJUAvwCxAJEAOAAlAFQAbwDRAM4AvADYAB0B1gDDAOMApgDUAA8BNgEdAcEAaQBVACUAAwAOAD4AVwDk/07/p/6Z/gj/VP8d/6b+CP6b/fP9H/48/vT9sP2P/Yj94P0U/vH9s/2p/b791/3b/ST+Wv5//n/+Xv51/t7+Wv/Y/zUAAADw/xMAZQDxAGoBqAHwAeMBsgGbAdABlALsAvsCpAI6As8BzgFfAtECzgIEAlIBCAEvAVQBggF4Ab8A5P+E/7z/JAAlAM3/Yf/E/oP+rf4o/1P/B/9w/iH+Gv4b/nz+wf7C/oL+XP5H/kT+hf7u/iH/TP9I/y7/MP9i/8T/BQAOABMA9P/t/4MA3wDeAJ4AUwBMAIQA1gABAdIAdAADAPr/YgBsACIA0v/D/4T/df+I/5P/XP8E//v+LP+A/3f/JP8Z/xj/CP+A//b/NQAqAM//o//O/1wABwFzAUQB+QCaAMcAigE2ApcCRAK2ATkBaAEKAtwCGANrApMBBQFfARgC2QLaAt8BywBVAL8AfQHXAXcBhAB6/9v+O//V//T/j/+8/hr+iP2g/bz9zf3P/UH9Bv2v/Fz8Mfxh/Kv83Pzk/Lr8oPxm/LT8Af1p/QH+Xf4B/wz/4P7r/kb/LwD9AGUBUgH/AJsAKAEoArMCBgOTAjQCBgIFAooC0wLTAo0CEgK2AVgBVAGwAa0BOwG3AEMA6f/F/xwAnQA8AJT/HP+0/ub+d//m/w8Ab/+q/r3+Pv/o/0YAbQAnAJT/eP/4/64AMgE7AfIA1wCHAJMAFwF9AZsBUAHaAJQAewB/AK8A0QCSADYAAQD//9D/nv/a/87/kP9G/yH/AP/w/v7+Lf80/+r+q/6n/uH+yf7K/gz/Sf8A/6b+uv7z/i//Z/+d/2z/Dv/R/in/8f9XADIA5f+V/3v/w/8uAHIAYQDs/6r/wv8GADAAHAARAN//uP/J/9//1//D/4b/e/91/3X/iP9V/zL/Ef8C/x7/Jf/6/uz+5f7Z/vf+M/8p/+3+4/7z/kz/rv/x/83/ov+3////jgDbABcBEAHxANIAGwGmAfABHALwAcsBwQHIARACcwJ/AjUC3AHEAe4BFgIcAhACxgFRAf8AIgFmATAB3ABYAPX/xP/I/9j/0P+X/wP/oP6f/pb+qf63/rn+af7p/b799f03/kP+WP4u/hn+4v0F/nf+rf64/sz+1f7z/iP/PP9+/5j/1/8RAF8AjgByAGgAfgDKAFcBugHWAY8BPgFMAa0BBwJQAmgCQQLZAUwBZAHhATICHAK4AQwBpQCCAMoALQEIAWwAyf+W/1//ZP+S/3P/Df/J/on+cv55/n3+gv6K/nX+IP77/d792v0a/nL+tv6D/i3+Hf5K/rP+A/82/zj/5/7R/hD/ff/l/w0ACgAHAMr/x/8yALQA5ADDAH8AUwBlALAARgFgAR4BoQBSAFsAlwANATsB5wBxADQAPgB1AHIAhQCDADsA2v/E/+n/HQAsAP//4/+w/4L/cv/X/xoACgD4/7z/l/+4/+T/hgDxAOcApwBcALIANwGmATgCeALAAWQBgQHZAY8C8wK9AjYClwFRAbQBIQIvAp8BHgF9ADAAXwCGAEgA8P9z//j+//7J/s3+qf50/j3+E/4M/gn+Ff4J/ur9w/3z/f79KP43/ir+E/4P/iH+XP6U/oj+i/6G/q3+tv79/jP/N/8t/0L/ef+y/+n/AAAQAPT/GABiAKMA0ADtANMAuwDEAOQAIAFOAXEBOAEYAf4A5gD8AEQBZQFMAQMBuQCiAJIAxQDoAMgAiwBCAAEA9v8wAE8ASAAAAKn/bv9y/7b/wf/E/5f/Rv8U/w7/LP9I/13/Qf8Z//f+//4n/zH/Mv8z/0T/Zv9N/zz/Sv9j/5T/sv/M/9j/sv9//5v/4f8hACkAOAAyAAAADgA6AHsAiACCAHgAagBSAGUAqADNAMEAfgBpAHcAnQDPAO0AsQBaAEQAcAC+ALEAhABcAAsA8v/w/yYAaQBQACUA4//J/77/3v8UADUAEgDL/57/pf/Y/9j/CwAJAMf/m/+V/7D/zv/y/+f/0P+N/5j/vP/G/9X/z/+6/6b/rv/B/+z/2f/q/+7/+/8XAB4APABBADYANQBTAFoAcwB1AF0AdQB5AF8AcQBjAEsAVABrAHoAdQCMAG4AbQByAFsAaQBvAGYASgA9ACsAOwAuABUAFgAOAPL/4v/4/+X/1v+q/5v/qP+i/57/kv+W/27/Z/9y/5z/oP+E/4H/k/+3/4j/nv+4/4j/lv+c/77/0f/P/8z/2v/R/7z/7/8dACsADQDb/9r/6f8MADAALAAfAPz/1f/g/wMAHwBCAD8AJwD9/+D/7/8CADYANgAyABMA1f/G/7z/7/8XACIAAACi/3T/dv+k/9X/6P/H/37/QP9I/3j/nv/G/8L/iP9w/2n/bP+n/8n/2P/O/8r/xv/i/wQAEgAkAEUAXABVAHUAgQCJAKUAzwAHAR8B+gDtAAIBKgFXAXoBjQFlAUABPQExAUABcAGUAXUBOgH+ANIAzQDTAP4A7ACUADMACQAIAAIA5/+v/4D/Pf8l/y3/M/8A/9T+t/6a/pD+n/6i/o7+f/5i/mn+e/6X/rX+wv7U/sL+0/74/iT/T/+C/7H/xf+3/6T/1//g/wcASABuAIEASQA1AFUAhADBANgAygCpAH8AfgCmAO4A+wDuAMsAnAB8AIgAywDHAM4ArACGAI0AigDCANgA0wCUAFsAOQA3ADgAJAAJAKL/hv9y/2P/Vv8g/wX/4/7M/qz+mf6j/rL+qv6T/qP+tP7U/vD+HP9A/yr/Pf9s/5//wf/Z/9//8f8DACMASABMAFkAZwBzAIUAhgCMANMAywCyAMcAvwDYANEAwwDBALYAsQCzAK0ApwClAJsAmQB1AE4ANwA2AFIANwAaAB4A5f/D/9T/2f/s/+X/y/+1/6H/sv/A/+f/GgAFAOH/yv/C/+H/CAAhACsAFgDo/9L/4f8FAAwA/P/1/83/wf+6/8P/5P/i/+L/1//T/+n/AgAJAAwABgDr//j/9f/i/+L/y//f/+j/3P/Q/6j/rP+1/8L/z//I/73/tP+x/8X/7v/w/+z/6//j//P/AAAXAB4AKAAyADQARQBHAEwAXwBYAE8AXABQADoAPgA2ADAAMAATABAAAADu/+//5f/o/+j/1v+9/8b/uv+z/8H/xv/D/7//uf+m/7n/vv/A/8z/3//X/87/1f/G//j/CwAaADYALwA3AD0AQABcAGEAXgB6AIMAjwB6AGkAhACLAJUAoQCsAJAAhQB9AIoAoQCCAIUAbABZAEAANABAACwALAAQAAUA9f/h/8//2f/D/5v/m/+L/4P/Zv9Y/1b/XP9U/1j/Wf9I/y//JP9G/yz/Mv9G/0n/U/88/z3/X/9e/2H/jv+M/5D/m/+T/7f/xP/X//H/3v/e/+f/BQAyACsABAD2/+7/CgA0AFwAbgBLADwASwBwAJkAyQDJAMkAmQCuAN0A4wDyAN4A4wC0AJsApgC+ALEAqACYAHsAcABWAE4ASwBaAD4AIgADAOj/5f/d/+f/6f/l/+f/4P/T/7X/yv/Q/7L/vP/F/8D/v/+p/6H/u//I/9T/1v/e/7z/jP+L/5T/nv++/9n/tP+g/4H/jv+s/8T/3v/N/8T/wP+6/8n/6f8AABEA/v/y/wAAAQAQACMANAAzACQADAA2ADcAIQBAACcALwBRAEsAVQA9ADQANwAqAEkALwA7AFQAEwAQACAAHgArAD8AKwAJANn/2f/m/9z/7//f/8n/r/+C/3n/lf+w/8X/nf9t/2r/X/92/6f/y//I/5b/Xf9q/4D/pf/b/8//vf+a/3H/lv/S/+f/6//o/+//7//u/w4AJwBDAEIAPQBEAFMAUwBqAHcAcgCRAJMAkgCMAIMAlgCPAJoAnQCNAHoAYABUAGkAawBWAEUAIQARAAkAHwAlABcADgD8/+z/6f/6/wAA9//P/8n/vv/I/+L/3//l/8v/qP+m/6b/zf/m/8v/wP+q/5j/lv/B/+f/8P/l/8L/zv/o//X/FAAOABkAIwAGADgATABlAG8AVQBhAFsAUgBWAFkARQAxACEAGQAEAP3/+v/q/8v/qP+m/6L/rv+X/5b/e/9o/4L/bP9z/33/iP+I/4H/mf+j/6r/sf+t/7//x//X//f/+f8PAAwAFAAwAD8AVQBkAHkAiACRAIYAhwCTAJgAowCsAJUAhgB2AHgAggBjAFMAOwA7ADIAOAA4AEEAJQAKABoAIQA3AC8AIQAUAPP/6P/5/wQAIwAEAN//z/+1/7T/wf/V/9r/1f+9/8//vP+i/87/yf/C/6//lP+1/6D/t//C/7L/z//I/9P/zv/C/8j/4f8DABQACQAFAAsACAAjACUAKwAzACQA//8CAAEA+P8FAAoADgD9/+L/4v/q/+z/DgAdABYAAgALACAAFgAkADwAMAA1ACwAGAAlABAABwAAAPL/+P8HABAAAQDt/+P/7P/o/+//8P/4/wsA6//Z//z/BAALABwACQAAAPf/8v8BAAYABQDy/+H/5f/T/9L/5v/e/+L/zP+n/6//sv+z/7X/xP+z/7z/zf/N//P/BQASAAMA/v8AAAsAGQAhADQALAAmACUAKgA0AEwAUQBUAFsAYgBQAFUAUABBADMANgBeAFEAQAAsABwAGwAkAEYAMQAaABIA9/8FABMAIwAZAAcABADz//r/CwAVAAQA9v/m/83/2v/y//T/9P/Z/8L/yP+7/8b/3v/E/73/vv+h/63/0//N/87/yf+//7//wf/b/+7//P/w/9j/9P/n/+P/FQAgAB8ACgD9/x0ALgAlAE0AWQBeAF8APwBWAEwAWgBfAG8AcABJAEYATQBRAE0AVgAxADAAIgAgACIABgANAPb/8P/c/8H/uv++/7L/nf+N/3v/gP+P/43/f/97/23/ef+G/4X/g/96/47/kf+a/6j/vP+2/6//y//C/9H/5v/h/9n/1P/Z/+z/AgAAABgAGQAaAC4ALgA+AEIAOwA0ADoAOQBIAFEAWQBTADwASABGAFcAVgBBADUARQBMAEkAWgA4ADcAOwAdABgACAAUAAwAAwADAAAAGAAoACEAHQAeACAAKQAcACEAQAAxACIAKAAQAAIA9P/j/+v/6v/y//T/7v/Z/8r/wP/I/93/4v/k/8z/uP/J/8j/1v/O/9T/5//Q/+T/3P/e/+D/1v+//8X/2f/i/+v/5v/s/9H/1P/j/wAADQAJAPj//v8EAAcAOwA5ADEALAAYABwAGAAjAC0AOgAnAPj/9/////P/7v/1/+r/7P/t/+3/AQD9/wIAEgAPAB8AEAD5/xoAEwAqABoAJAAsABMAHgAnACcADwAvABQADgAeAA0ACADr/+v/5P/0/+v/0v/Q/+H/z//D/9X/0f/b/9D/1P/d/+v/8/8NABMAEwD9//D/DgABAAkABwACAPz/8v/w/+D/4//2/+b/+v///+r/5v/4//7/9f8LAAkABgATACgAMgAsACkANwAwAD0ANABAAEkAKAA4ADMAMAAnACQAHAAWAAoACAAUABcAAAD1//L/6v/q/+//9P/X/9n/zv/I/8L/rv+v/7L/qv+o/6v/sf/C/7f/u/+y/8j/z//d//X/8v/a/9v/6v/s/xYAEwAsADEAIgA3AEkATABOAF0AZQB7AGMAawCCAIMAfwBjAGYAbgBbAFwAWgA/AEAAKAAkACYAFAAIABEA9P/p/97/xv/Y/8z/x//L/9H/zf/a/9T/3v/f/+7/+//7//v/8f/y//v/9P/p////5//l/9r/0v/d/7r/x//S/8H/vP+Z/4L/k/+N/5n/oP+n/6b/t//E/7j/zP/P/9z/0f/w//r/9f8GAP7/EQAHABAAHQAOAPz/FAAZAAgAKAAmACoAMgAhAC0APgA9AFEASQBDADwAMABKADsAPABKAEUANwAvAC8AOAA/ADAALwAlABEAGAAWAB4AEQADAAAA8f8IABYAEgAFAAgA/P8AAPX/6P/y/+n/+//d/8//z//j//L/7f8AAPT////t//T/BgAFAAcADQAPAPL/8f8DABEAGgAQAAcADgABABIAFAATABQAFAARABcAEwAbADYAGAAsACEAHQAUAAYAAAD7/wkACwATAPn/+//o/9r/+P/p/93/0/+5/8v/qv+7/+L/vP/O/9D/3P/h/97/3//v/wgAFgAHAP3/+//j//T/7P8DAAsA7v/4//L/6P/0/wEAFgAMABcAEQAQABIADwAjABIALAAqAC0AKgAaAAcADAAaAAcA/P/r/+j/6f/g/83/5f/v/+3/0//j/9D/yv/U/83/7//m/+z/6//p//H/+f8AAAYADQAKAAkADAAQABIAEQAAAPz//P/9//H/5////wMA9P8AAAkACQATAB0AJwD//xIAMAApADIALQA1AD8ANwAxADcAKgBJAEsAQABAADYALAAkADMANAAnACAAJAANABEACwASAB4A///1/+7/8v/3/+T/6v/3/+3/7P/0//j/4f/R/9H/2P/b/9T/3//Z/+b/3f/h//H/8v/r/+v/5v/Y/+P/6v8GAPD/9/8OAAgAGgAXAB0AIQAYABAAFQAoAC8AKQAWACUALQAhABkABQAFAA8AFgAfABIACgATAA8ADQAKABMAHQAIAAMA+v/5/wwACAANABAACwD///j//v////L/2v/X/+L/6v/8//H/2v/d/+D/7P/z//v/AwAAAPb/+P8BABAABwD7/wIACgAMAA8AAADs/9v/zv/Q/+P/5v/h/8X/y//N/8H/2P/a/+f/2v/P/9n/3P/a//j/6f/p//L/7/8NABIAIAAhACsAKgAcABwAJwAvAEoAPgA4AEUATABYAFUATgBDAFUAVABMAE8ARwA4ACsAKQAwACQAFAAKAAIA/f/u//X/5f/q/+T/0P/P/7//rv+2/9//0f/b/+L/zv/b/9j/y//g/+f/4v/b/87/5v/o/wAACAD8/wMAAwD4//b/8P/v//7/BQAQAAkADwAbAB0AEAAPAA0AJAAkABIALwAqACAAJgAVAA8A9v/s//j/+/8DABYAIwAZACMAJQAZACkAHQA5ACQADgAaAPr/BgAEABAAEQAJAB4AGQADAAAA4v/P/+X/x//F/8v/x//D/7D/tP/K/8//4v/u/+v/9P/d/+z/CQDr//b/AQAHABsAIAAaAA4ADQAWABoABAAAAPr/BwACANn/3//y/+f//P/9//P/AwD5/wcABgARACAAGQAQAAEABgD+//z/+v/s/83/0f/V/9b/7f/z/+j/4P/Y/+7/8f/h/+b/7P/v/+7//v8NABIA+v8NABIA/P8GABYACwAKAA8ABQANABEALgAzADUATwAyADUARAAxAEIAQwBDAGAAUABAAE4AUwBZAEMATQBTAD8ATABPAD0APAAwAEAAXwBKADoAKgAbAAgA9v/y/+n/6v/p/97/zP/J/8D/sf+6/6z/nf+u/6//tf+k/5//yv+8/77/1v/U/87/4f/s//j/CwASAAUABAAdAC4ALgAkACcALQAyABEAFgAKAAEAEwADAPn/8v/y//P/9f/v/+j/7//4/+//8v8DABwAGwATABYADAAoAEIAQQAsABEAIQAoACMAMgAoAB0AGAALABMAFgAfABoADQAPAAUAAQAJABAADAAIAPT/7f/u//L///8PAAQA9//7/xkAGgDV//L/8//g//j/3P/k/8v/xP/U/8T/sf+w/9H/x//T//j/7P/Q/9r/CgAWACgAGAAfAD0AQwBoAIkAlACjAHsAbQBsADwAPAA2AD8AMADn/9X/2v+k/4P/e/+J/7b/mv+g/5T/mf+u/9H/+/8bAP7/BgAUAPv/JgA2AGwAbAAYADYAUABlAGkAOABBAEsAKABCACoAMgBSAEMAWgB5AIIArgCZAJEAkABCAAYAQQBNAEMATgABAAQAUwAPANb/kv+7/1IA9P8rAPz/3f89AN7/6P+X/4n/zP+b/+7/2P+E/3f/U/+g/2D/ff+R/+H/x/9y/wAATQDt/wEAowCVAFIAqf/Y//X/MwB3ADoApwCEAKwAAABHAMwAVgDm/xIAkQBFAKj/YgBLAFMAdgAK/9z/nQTyBWP9Kvph/eAAdwHb/zz+Cv7oAIIBUAGU/27+0f/b/w0AywHb/pz4IP0yBBgD/f/qBq4JEPx//Or+vwH/Axr7n/vR/sUBEv8x/k4F3v8+AFsAaQKsA7H1WP6KAfX+GgMG+t36KAUl+h3/fAQC/DEEpQD/AR4DQwNe/jb+rQMhA4D+cvxoA6n+5vx5/279YQww/BL1Kwxa9mYAVgd09xgHEf8889MEMwiV/Or3aASHBhv6MAC7BAr73/5RBhcCqv73+iMAoQ+k/IruEAnUA1IItP9l85QFGQFw+QsE5QSr9GkEygCi+gIF7/pSCkgC8OwYCcUGy/+P+kb6Tg1a+5z94gMD9rcCCgtw9WoBTgVB+I7/ZwoJ+yH1kQAOAmQDlAFuAen61gLt/W4HgQb37lv7BRQOBz73sfbDBZIJ6PwU9EMAcRDRBzL1Su/XCNUMlP/88ekNWALE+uj+Zv8AAAL7XQlO7NMBKA0n8PoA3PytAUQL1fCrADX6awNGCFH2ov7h/+QOkfJI+OcSofwo9z0B3gUICEH7m/wmA7gGQPtj/4IGyvvDBo32IAFQBVv/ZgEu9cYFkgUi9J8CUfyDBqkAufU9A/0BTwDj/JADEwF5/VL0IBPdByvryf3JDoMGF/cH8O8JahPI7zT8oAa2CWr8uO5KAnkSqvsU9In80wreDHTswgAJAiH8+gyd+ATzLAr2A9MBuQIN8xsEKghk/tv4oP75CzP99PtoAyj9gQpx+/X59QMxAGsNbOnOAj4P/fmEA/P18QCDC0H+7/EWCMkDdffj8tQLLwr/+LH8vv4g/4MDuf8+7oQTDgOv/vLykgWgDyn0wwAOAmr9EgTABYbyJwtu/JYDXv1u/VAFwP8f+csKlAff6OMDnQ0LA/Lqqw21Av0A8Pa/+ewNjwl/7xz0tRva+7f68fxO/J0OKv227pYKg//mA2gBq/QSBZUAFwTRAuz1Hvl8C4EJsfc97KMQRw5K7RQEqfwDAl4JOvIr/wEGkfw1DSXvUfsUF5X2T/S/CKQAXfnlDN/r/wwsDI7wnvk8/ZceR/WK55AJUw2z/Pb8UPd4DSv5jAPQCMXrTwsfA738ovszBr//3v9q+kH/avz6CHsDFffhAyf/mAbj/Nr1qAf2BET5lgWt++L/QwRl+PYIUgIJ+IkEAP5I+MMNJgsZ6AT6Xxoc+kPurhXG+Rj4C/5VEID5RvXNEbf0NP3bD+Lyo/iIFqHqGAjzA3L9NP1uAJQBYwR09HX4mxCD/Sj9AfixA0EJQgJ4/Ant2QU9JKnj6Pi1DWT+1gk18SQD+QmM9ub/5Ad9Aj3+4vtQ/MAI+Pr0A2j3GQK1DkPz/Adr98D2Kg34Da/qXvNREBQKrvx56nYNggO//YD8z/v3DUj5RfS5A4EQRvcM/CD9/w04/G3x3w4+/4//UgHd/QcBtQSl/1z7jgSL/1X9Yf2u/yIAMATJC4DnMQw4BIHzdBNe8sz4SgdF/uALPfkn/NcHivQd+6YYqvEp874K2wfLANDxSAJtCOAJ//YA9fnx+yoK9GLq+At6+10Q+fzh5jEOpw2Z8HsMmeyhCjsA+wGmAFr3yQc1BlnzH/rDE6fz4Q5h5NAIBxmp56sGK/py+3wZ4/YZ8DILVAA0CBvzOAEBCNn91PnP/6kIKxA64gkC5x8A55f2mRDLBmf3svdY/SUPgQB09WT3RxAABzXoLPyxGlfw/wJL+1H1SyZr3yMEPQhy6/8boO7P9ToeE+ww9DYOZAYA/4vy3AKCAjUC7gALBULxZg0X/S75uhX67YP5XwaPDEYHoeUk9Vkrn/DF8WoCTAaKD2nqu/wHEYEHK/NL99kGdwzm8sz6BxLi/O7ynANG/xsJTwNv6UcDJxqH9WvnJBKqBpT3YAQ7+9X7SgEdEcXv6fbPDO37Qw1R7KEC5Qye+AcGMvMv/5ATfQDc6tP++hALB5LxQfMrFiv99/VsDX30MgGiCMj1JQ8A+ejvYBaw+o7v1g78BzryWARrAR4EqPxG9+EG5wMCAT706QmFBjj3cvvMAgEIB/9h/kv4/wV6CzHyEQGV/NkC6xDd46cEtByd8ILp+xDT/5ANGfJC7Don6e68+IYCHwK0Cwjwv/0VCXH/VQWz9n36wQ71BI7liQq8FtTniv4ICTADCvpM/4767QfMAF71dAo7+k/+pwXl9kgIWwZu5rsP/A3t74359gLzCmr/gPXDAjAG6PzLBSz6YPWjDhQK+OMJBzUWi/lP9Sz76A4JCD3rRgJOAXf/9RBC6QoF4A4W8uL0iBQiBErxZPia/+IXxvJO904Ohfp3AWQE7/SzAwH9OgcdA8byLwm4B/DzAAJ6CKD/w/k86ecZrxbK7SzopwvIGtzw1vK/AskJ7fwtBXT6Y/z5Bs/7zgT5+kL6IgOuDT3yy/ghDyv7zv3IBPX+7v0qALb5iARvCBP1AgOwAUX+cguN8uf+kwPsA1wB9fUGAPwI0/oUApUDD+wPHon+Z9u7DewclPlM4ZALiA9//Kn5rfuFBKoEDf839yUE7Ax7/ZDqAQB9HIf8leKYCUMcyek5+jQMJfhnCJT9H/cDAQMP//wC6mEKFBV/8xvzLAbLCf0DbOfkBugbrfSF5M0JxheF9qv0WPo7D6oEBPiQ8wYLAwl+8+z+Sv9JD/L0xv5gB0r28QEQB2H1UP/wEgr3P/ZkCfD4PgYBDMnm3QJvDWUA1/t6+SwBrAyD+yXsXBI8BUHzeQC5//wHrABV9VYFagOE/cbzUw7CD0jicQAhFXD9JfP5CHv6SwMLBc326gRS/bMJAfvd9+0DQwbO/n0FifYr+AAMsP9yA9n2IvwAB8QF3/ZJ/0ELlfWcAM39tf9sBNf8RQNyARz4lf6hEjX3Oe5YEAj9oPwsDGP6FPX4AIkQyPxz8BMNYP6e9hQQh/199gf6Pg0TB7Pz+vmRB/IC0fXNBzAAFf8M/aMC/P6t/1gJW+qKAQMZtfHR+tkDjPsmDsX/GfKI/0IExwg1/Bjx5wjrD333cPzA+XsARBoZ6P313BeA95MBFf9f/DkGgwA3/3bzFAcZD5vx0P0xBwX5Fwa4AWT1jQcuCZn82vL6+hobPfgj7lQHWgKEDajsr/vzDrsG9PYS8QAFgBRz+yXhXBezBwnzOQDc/DoNuf049PL/yQe5A5f4IPXwEEgCPPkqA4f0QwjnAgn/ufp6/7j/vg7++Fz4LQgV+VYLHPWPAVEMlPq/9BIN1wCn8o4H+gMfAz74p/xhBBAIgfez/z4E6fsr/kr/kAjaAKj0BvyyDYj+7P+M+u39eAMiAUAE9/vY+rwJDwAd9vIBugQ9ByT5vPQXCIcJyPUOBiD87/nsCW7+bvjfArcFP/o7/NYIdv++9NENmf6j8eH/5RNA/PHsMAGdE/EEROoC/pQIRgwk+lLumQk8EP/zr/ZOCuoCMAS/8w3+6hGJ9l76fQO2BQ8CXfe9+dcNfAKo88j+DA39+ob42gZEAaT9rP3oB0f3ZvrIChMDGfadAKkJb/2u774JtQoy8nIBLwDDAE0JyPvb9DID1AjV+xYBvPum+8YEyQPH/50AuQFU9DgGXAHOApAHmelQByIR3fol+5v9zAYFAen8nQK7/1L1SgqSAwYA3vhm/MgPoPlS9zz/BgmD/YD8wPnDCRcJFu8sADULFvl/920D7wio/zHw3AahEPb2ifYg+l0Kfw/+88DpYQsJFzbzCvLbCJILXfS6ACP7XAtBCHnjRwbhEff7mviUAT/81QUbA+z9h/RI/VEWmfvY7CQHlgYf/9L2oAJrCqH4owBG+fIGmwNh+Oz4Bg6++sn5EQ+K9dEBNf3FB8H+hO/GEK4H9uwHAz8B5QWsCgjq1/tIEdsB/PRd+VQKyQOa/ab8Qf3vCt35RPbXCpsEsPhQAqb1nAmSBWP4zf3FA6MKoOjIDZYA8/nDBuj9m/vNAIQEm/2HCB30/fxZ/qQR+ACw4mcTlghl9pX5/wcdDIDqGwB7D+cFFOfuBpoT5/eW9cn++BI5+032YPkyCtUL1PgX9vn5uhTpBAzotP2iEDYEVPgV8YUE/A9497sBA/uu/i0NC+2XAOYTxfjy8e0BIQ4J/cD7WPcFCmsMm+r1/eQLcgA4AUv1pAdXCXzwmwHKCXT7Y/l/A38DmwBo/EsJVvNfBGMDrfLME23vvPxIFLv0APyrBs79Dwi19Sr5Rg8J9ecGiAI59nEKOfhtBvUBBPYSBev6eQZjCFnvFgCOC9UDrvhn9M4JdAdE9h0FGgAr+qwDQv6ACjb4e/VcDMECEPy9+4D4hA/4AnHvVQALC3MFRvMH+mQKngYA9ML+lgGvBtT8aPUgD7z8YP1J+/MBOg4l8Dn6dxB/+7b4OAfe/tQDB/tS+p8HiADC/Iv+sgHcBQ/2ZQRcCl/0gP0uCE/8ZgB8A6n7OQKp/9MGPvkfAaX9JwNzBR34+wDO/rgLCgAs7lUChRTF+arwMQRbCd0DpPUg/1sDqAPe+e38Swff/9371/ZaC0IG5PWz+j8DnQXvAK72NP75B7oD7vhi/sgFhfvh/8MFKfu4+70DGf13B/f+6vZuB4UALf6aA3D2LQR1BXP3VAYr/lMERwCh8M0LwgoO8ZL5xgKEC9wBQ+4RA1QNYQNR7Sj+XQ4p/rb9CfrJ/H8MEQpb7zf81Q6gAAP3b/7g/X4IwgPd9kT/6wXlBsv1vf18A2EAJvwfAA0DEf5/AoP6t/8sAzIA3v+T+039DQIKAugCe/yf+mYDGAT2/Br9TgEmAAsDVf5S/v8BfP4YAg8AmftLBacArfsfAt3+sAIlAVn8w/76A0sAnAGs/n4AgPwP/rwGC//jAZL6zwIFA3z/fv1n/OoGKgGZ+pL86QeC/lr/CgLj+j4Do/6yADoFGPmG+cMDqAkHAE73BQAEBGQC3flLAaIErABD9qAD7A3g9W79xwGZA3r73vwRBj3+DP89ABMCW/+R/r3+H/1WA+4Dlvql/c4ELwBMA1v81/xwAfwCwAK69VMF6QUY+h0AzgOOAen5JP7KBRL8cgBjAtL7RwR+APH8a//aAtkACfva/8ICIAGjAMf7WwNn/v3+FgUB9+QCLQN4++T/FQRcAgv11gRFBKz6pQIl/d/+dANCAdz/sfu0A6v/fv0cBdL65QFpA7f9TABB/P8BJwko95X/Qf0/A2EHt/PsAroBAQKGAPb8Rv2tBMD8PgFkAgn+iwA//G4GmAA+/NL8/ASxAfz91vdqBr4GvPky/Uf+7QkW/KD6Y/9WA14BM/7G/UYE9f28/fADn/0yBPX5PQMOAl//pgKy+78B3gTD+rsDWgDq+ZIHDf5a/TEA3v90A6b+nvwEAAQB+AP99hUBPgbJ/Ij8OADKBZv8TvxQAqgBZgAG/T//vwVX/dH+m/9Z/20DEAEK/1D+KADNA5r8XQDhAdX9KgL6/lwBiv46Alb+1P7gArD9YP1pBHkAtflAAn0AugMW/Gz+/QHj/awCH/3P/KYC/wME/Ub9e/9/AjwBSft4An3/Uv7LA279bf92Aoz/5v1eAsn+eADEAgz89ACCAyABkfy0/ZwEGwIB/HYApwJF/4sAcP2xAVkDpvvx/2IBVwAlAAT+ugAvAfX+0AHt/lj/NwJM/iMASgEoAIAAT/5NA4j/if8ZASr+lQFb/9EBhf2Q/3MAeQLk/yn94P8VAMcCh/w5AIQAOP5Q/9f/4gLw/gb+XP2HA40BG/sNAXf/kQA5/+r/0QLb/Vz9OwMzAcz86/9pAOUCvv1+/84CFACtAMj8bQABA8H+yv4FAVUCtv+7/AoB8gHe/yz/RP+5ABYBEQCs/ycAwv99AQH//wBI/u0AjQGu/WMAcf8iAcv/Df8DAeYA/P2WAOwAkABk/s//6ACZAAf/8/4wAU4Bwv5+/JoCWwJx/Cz8UwMpBPH9p/m1AXoDFQD2+33+qAPmAWv+fvsLA+oB1P9H/b/+XwJ/AWX+gP+C/1AAgwIz/oD/EgDtAWr+CP+TAdIApf9//v3/mgCgAbn97/4iAvf/0P7O/00AdwAr/5//HQA6AfUB5vsLAIQCAQIE/2b91gFOAp7/Gv71AZoA7v5T/7ICNQBq/TgBrwDL/6z/IwCh/63+ZAH2AZD+I/4iAI0CkQD3/Bz/LAEtAXT/P/5RAbACQ/0OAN8ACP8uAdb9cwBAAO8A7/5lAHUAtv9i/5X/5AGs/aAArwAFAGkAWgDk/hcCUP+q/8sAtv/qAOn+oQG8/xMAkQCP/4L/hAGS/tr/Zv/NAOb/5v3EAXT/Tf/u/3b/A//mAJ7+z/4EAer/vv/t/6P+KwCHAKr/mP/d/ugBWwDy/tQA5f8rAG3/mP/HAbD+LQAVArT/Cv+NAMEBof+y/h4BiQHy/rz/QwHn/8kAfv9b/qUBi/8X/6YAP/81AAb/gf9hAcn9JwCj/xf/+wBQ/7AAMv+3/qoALwFi/m//ywB5AFP/SgD5/0QA6ACt/yIAy/+LAZb/7f9YAKX/qwA9ATD/4f6nAqz+If+7ADwAjABe/v7/igFq/7H/R/+x/74BQv5X/28BdP90ACf/4P8qAkP+JADTAPL+JQH5/g4AMgJ2/tH/TgFk/w0Au/84AJ8AGP8eAf3/Ff/sAF3/QQHX/rn+hABUAcH/x/0XAfUB0P0g/4oCgv4r/5//bwGJAUL+1P56AlH/zf6DAaj+cQCc/+8AMwAJ/wIAMADbAOz/5v1zASMBAf5kAXD/mADsAFr/OgDC/1kAdADX/6QAGABMAJ7/UQBPAff92wD+ALv+QwBeAAn/aQEFAGn+AQG7AOX/SP80ABoBCv9e/wABNAB6AJ7+1P+qACkADwBf/kAB0gAQ/80A8v95/0sATwDo/4P/iAAeAKkAaP8//0sAMwBt/0n+TAAUAQsA3P1r/3EBugDC/br+CAG5AN/+aP7KAfz/Uv9Q/zoA9gAF/47/mQCoAML/Bf9cAEYBV/+w/q0ANAEn/83+wAFmAL3+Yv/HACoBIv4E/zsB9gA1/xP/HABfATUA6f6+/2MA6AHZ/hv/fgG+AFX/rf+qAOT/OgCo//b/qQAkAA//OAAtATT/av+iADYASf9tAJL/gf8sAfX/Nf8VALYAff8JAAsAw//H/9X/4ACg/4T/UADr//b/WQAh/zYAOAD8/9v/df/aAD0Am/8gAL4AAADG//3/tADi/zr/DQFoANb+WwCNAJr/SAAO/0sAiQCm/+z/LP/rACQAi/57AHsADv/Q/68AGAC9//T+ZwCpACkAa/9t/3IBRAD//tb/KAEhAHb/e/93AKsA//9A/w4ALQHa/3v/v/9MAc7/yf/9/3//oAAEAbT+L//kAZr/Y/5oAFkAi/8Y/5f/xABrAH/+y/6sAcj/0v56/9AA+f+1/0IAz/+k/0sAugDz/nkAAACrAB0AGACa/xkBlgBB/08AOABWAYf+IgC2ACIAcv99AL7/u/7cAXH/4P5kAD0BG/88/2EANACJAFH/z/4HAaAAkf7f/8r/8f/+//L+CACiADf/vP85/2QAPwDL/osAFwD9/+//AQBhAD0Arv/B/6YAff+R/w8BdADW/x4A8QDs/9X/dQBnAA8AWwC2//8AEgDl/wwBAP9BAEIAcACA/ykAbACk/x0AQQALAJD/2/9UAJ8Ayf9x/7T/XgEmAEb/lAAWAEsAyQAzAOH/nP8pAbEAh/+M/10AlQDp/4P/vP9LAN3/CQDt/l4ADgBt/3L/mv88AFn/o//m/uz/iwBP/+3+3/95AKP/3f46AML/9P9VABf/JwB7ALb/BADB/0YAIABb/wABJgBF/+j/dQD/AHj/sf/WAPL/6f/FAK//QAAlACUAbgCd/xsAQAATAEX/jwBkANb/cf/u/4cAZP9aAC3/3f/aAIP/h/8GANz/AQDG/xkAqf/8/10Ahf9NANH/dQABAO3/tgCQ/1UAJwCr/1wADgCo/0kA6//i/7j/5v/j/+v/XACg/9D/+v94ALz/Vf8UACgAmwBS/xwAVQCPAJn/xf/OAL7/vgD+/wsAewDIAMn/KQCfAGgArf9JAEUBmf+KAAYAqQAFAAUAiAADAJr/ewBYANj/AgBc/6oAw/+Y/zP/qwBJAN/+XADn/83/j/9DAPH/wf/a/1gAmv/X/zoA1P8BAB///wAGAF//Uv9iAKUAXv+0/5f/owDh/1r/X/86Ac3/I//Y/4kA3ABv/kYAlQBgANH/8P4jATkBwP7X/+IARwCX/yj/GgGb/6P/7//l/0UAlv8GAOD/PwB5/57/0AApAA//if/YAM0ANP/t/v4AowBq/+3+MQERAYf+NgDUADQAJf8jAO8Au/9w/9UA2P+T//wAQv82ANP/hQDA/3j/HQDk/08Aiv8QALf/jQD//7v/nP8LABgACADE/w//mgC9/xsAw/+m/7j/6f9TAEz/1//q/8v/XgCi/zL/0wCi/3v/RwCO/2gArv8wABcACgA9APn/mABfACMAbgB8AAoAKgB8ADAA2P+XAAAADADHAOf/CgBOAE0A7f+s/2YA9v+m/0oAZ/+8ALD/Dv/+AIz/2//J/7P/eQBj/+D/GwDW/97/qf8mAEsAk/8BAA8A4v9bABsA2P/r/80AHABx/20AgQAEANn/LgBSAC4Ap//+/ycAGADB/7j/CQDl/9D/t/8EAAUAfv+D/7//NgCJ/4j/NwDS/+f/h//s/x0AR//9/9r/2/8IAFn/SgAxAE//XgBEANn/uv9OAJ8Ap//S/2YALgAkAGn/mf+tABkAtv+E/10AtwDL/6L/tv/QAFYAQv/J/68ApgCd/0v/3QCEAEj/tP94AK4Ah/+D/4IADAB7/zMA//+M/9r/GgACALz/4f+7/4cA0/+6/0kAxf8vABgAZgAwAJH/cACSAEsAzf/r/xsBKQBn/4QASQAuALr/fP+8AEoA//4m/3sAbwAV/yX/3v9CAKn/KP+z/zQA3f9u/6v/vgArAFD/QACJAD4AKQDe/3QAfAA1ADQA6f+MAHUA8f9XAAYAaAB9AOD/UwAgAFkA9/+y/8EA+v/b/yYATAAqAI7/2P9DAAoAy/+K//H/NQD8/6//E/8EAHQAV/9B/+f/RgD0/1X/8/8nAKr/8//z/xAAzP+a/xsAUwCh/9j/DgA0AKn/p/86AM//9v/4/zYAHAC+/yUARAAFANz/EwD3/y0AHwDb/8//YQBTAL7/+P9FACgA3P8kAFMAMgAXAA4AKABKADsABgAkABAA//84AB8AyP/4/3EASgDH/+L/KQBrAP3/sf8eAGQA8P+3/87/LwDi/3j/4f/v//r/xP+O//v/KwC4/4P/3P9HANX/UP8OAEwACgCx/8L/VgBLAM//r/8TAF4Awf/V/xcA+//t/8z/2v/n//P/9f/j/7D/rv8UABYAmv/F/zoAJAATANv/LQA3AOr/HwAhAPn/LgAZANr/BQDV/////f+k/+7/6P/I/8D/3P/U/8f/6//Z/1n/JQAFACn/tP8wAPP/I/+B/48A//9C/5H/UACJAJD/h/9LAGYAIACF/wcArwDw/53/cABaAA0ABQBMADEAEQA0AF4AZgAaAEwAiQBWACwAMAA5AIMADwDD/3wAPgDy/8f///8oALz/z/8SAOD/AACk/63/MwCo/4z/+//2/8L/yf8IACsABwDc/wIAUgBOAOz/HgBuAHoAIgD+/10AaQAYABEALwAmACAAOQDd//H/LgD+/9X/vv/y/zwA8/+A/9D/IAC//3b/h/8qAN3/Vf+9/xYA0P+n/6H/5P/8/3//2f8yAL7/xP9BAEEA8P8kAHwAIQD6/4IAjgAWAA4AuABZAP//PQBfAH0AMQDy/zsAjAD4/7j/QAA0ALn/0v8pAOj/4v/9/xQA+f/9/5z/rf93ACYAN//N/5AA7/9S/4r/OwDa/z7/uv/w/7z/b/+j/xIA8P9W/4L/GgD6/3v/ff/w//b/mP/X/+D/yf/9/zAACQC5/+X/TQAHAK//AQBYAB8Ao//m/28APQCy/47/NgByAM//fv9JAH4A8/+5/ycAbAArAL3/6f+NAE8A/v/+/2MAqgD8/7f/YgC4APj/+v98AJoAGQAUAE4AdgB2AP3/EQCTAEUAm//u/4QAIAB7/6r/MgAxAKb/Z/8PABgAhP9j/9//1f+h/5z/sv/8/8X/nf/t/+L/2v/y/wEAGgAxAAAA+f9AAGQAFAAFAFoAhAAcAAgAYABjAPf/KgB1APn/CQBuADAA2f8AAFcAAgDi/97/KgAWAKn/xv8AAOH/yv/p/93/8f8SALf/qf8cACIA6v/x/xkALADu/+j/7v8cAB0A+P+t/9n/KgDT/3z/zv/z/7//qP/V//f/2//X/8T/vv8JAAEAp/+y/xkAAwDH/9r/RQD7/77//v8gAAgA///g////IwAEAMD/o//4/wAAxv/L/+v/DQDn/77//f8zAOP/5P85AHIAIQD//zQAWQBvADoA6v80AFkACgD0/xEAMwAhAOz/9f///+r/4f/f/wYAFQD0/+L/8f80APv/xv/M/zsALgDJ//j/PQD7/9T/BgAZAOz/1P/v/wAA3P/d/+r/AADz/9X/2v/j//D/+//5/9r/7P9LAPr/yP8XADgAAwAGAC8APQAdAAYAMgBUABcA+f8PACIAEAAOAPX/2v/1/xwABQDv/+H///8gAPL/4v8IABcACwDJ/9r/GgAlAPH/4/8dADEAz//V/ysAPQDl/7P/KgBIALX/t/85AEYAvv/N/1EAUwDV/6n/LgBpAP//rv/2/2MAMADU/97/VQBOANP/uP8iACoA+f/N/8T/1f/e/8D/lP+S/+H/+P+Y/7D/FgDm/7D/4f8oAPb/vf/1/0IANAAeABoAcgBkAA8AKQBfAEkACgAoAEQAKwAIAAgAJAAsAA4A7v8fAB8A9//w/ygAHgAjAPb/EAAgAPn/KQADALv/0v/6//D/o/+3/9X/tf+O/67/ov+E/3z/if+V/4//i/+c/6X/w//f/8//qf/z/x8A4//M//7/JgAdAAYAIwBVAFsAFwA+AFQARgBAACwAWQB+AEkACgAfAFoAJAD5/wAALgAEAOL/yv/I//f/v/+n/8z/1f/i/8H/xv/V/+v/vv/J/w4ACwD9//v/HAAxABsAMgAyAEwAOgAcAEsAOQAuAGMAOAAEAAwATwASAMn/9f8/ABYA5f8NABkA7v/X/8n/6f/9//L/zv/p/zEAAAC+/+L/MwA5AOz/AwA3AC8AAgAoADEASABLADQARgA1ADkASABKAGYAJwAiAFEAVQAhAAwAHQArAA8A4P/n/wUA3/+3/6f/2f+q/3L/qP+v/5z/kv+s/6j/lv+b/6n/t/+A/7L/1P/G/57/sv/f/+f/2v/Q/xMADwDu/wMAFAARAPj/HwA3ADgABgAEACwATAA1AA0AGgBkAFUABwADAGUAWADg//j/UQA7ANz/5/84AB0A2P/R/xEA8P/Z/9D/AADy/9f/0f/u/xEA///S/9f/BADi/9T/7v8AAPf/4f/b/9f/5P/Z/+X/5f/y//T/+v/q//j/DQAaAOf/6/8ZABkA4f/R/yMADwDh//3/GQAPAPb/DAD8/xwA9v/p/wAAFAAIAPr/7P8JACYA/P/y/xYAAAD6/w8A/v8AAP7/+v/c//v/MgAPAAwAGQBIAEgAMAAJAFsARQATADYARwA2AA8AMQBKAE0ASAA8ADsAIAAlAB0ABAD0/ygAAQAEAPT/0f/l/9T/1v/N/8j/6f/j/7X/v/////j/1P/L/+r//v/u/8z/xf/Y/+f/0v/Z/+L////Q/9j/+P/x/+r/8f////z/7//y//j/GQAQAO3//f8rABcAEAAFADEAIAD7/wkAFQAAAAkABQAWAAsA+v8MAAEACgDl//v/HwDN/9L/FwAJAML/0f8GAPz/rf/L/9v/+v/m/8f/+f/3/9b/+P8OAPb/9P/j/+//GAD2/+f/BwAsAPb/8P8pABQA8P8IAO//8f/1//v////r/9r/5P/r/+j/0//u//X/8v/x/+v/CAAGANj/9/8cAAkA3v/9/0YAVQAOAAgATgB/AD0AIQBXAHkATgBJAEYAcgCMAFcASwBuAHwAPQAbAEQAWABQAAUADABWAEYA4v/N//r/9/+q/6b/qP+s/47/Zf+P/6f/jv+e/7r/uf+j/7r/x//L//H/FQADAAoAHwAoABYAJQBBAGUASQA1AGIAbAAbAAEAQABDABgAHAAsAD0AAADq/xkAJADm/+X/AAAXAAYA4v/0/xUA6P/i/wcADADm/+f/CAD1/87/3//r/9j/5//X/8H/8P/j/9n/2f/q/93/3//5/wMA7f/9/x0AGQAEAAoAFAA2AAcA0f8GAEoAAgCq/8H/DgD6/7T/rP8EAAwAtv+2//X/5v+w/7P/9P/k/8z/2v/2/+3/6//5/w0A/P8JAA8AEAD+/xcAGwDz/xAAIAAgAC0AKgA5ACAAPgA5ABsAGgAtAC0AGAAOABwAMQAUAP//KQAWAAoADgAAAPb/7v/o/9z/x//i/9L/yf+t/9H/0f/A/7P/yf/R/73/u/+2//P/+P/P/8X/7P8SAOX/xf/o/xUA9v/r//P/IwAZAAAAAAAuAFIAWwAlAC0AfgBjADcASwBpAIMAQQApAEoASAAdAAkAEgAcAOP/5/8MABQA+f/q//r/+//u/+3/BAAAAP3/EgAKADAAMgAsACoATQBbAC0ADwAkAC0AJQAEACwAKAADAPr/EQAQAOL/wf/I/9r/yv+d/7X/z/+//6b/sf+9/8r/r/+r/6f/yv/W/7D/w//m/+X/7v/L/9j/AADv/+H/+/8aAAkA4v/c/9X/0P/C/7//uv/D/8D/2v/m/+j/1v/k/+v/CwDx/+f/AgAIABAAHgAjAC4AMQAkACUANABDAFQAIAAJAB0ATgBWACIAMQB7AD8AKgBRAGkARQAvADsAMAA0ABAA7v8ZAAoAz//A/7r/yP/L/7L/tf/J/+n/vv+t/77/9v/4//j/6//y/wYA///r/wQAAQD1/wMAFwAaABkAAwARABYABAAJAA4AKwAtAAYAGgAGABMAJAAZAAsAGwA1ACgAFgA9AEkAQgAcAEEAZwA5ACYARgBIADYANAA1ADEAIgAWACcAGAAZAAQAAgD5/w4ACQD4//T/EAAOAO//6P8JAP7/yP/O/9r/1f/N/7v/z//a/8P/tf/K/8r/w/+1/8T/1f/h/83/z//M/8//zP/N/7v/xv/N/9n/CQAUAPH/HQAxABwAHQAyAFYAZABPAGgAeQBWAEIAYABkAGsAUQBOAF0ATgAdA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 </div>
 <br />
-<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes  5.134 seconds)</p>
+<br /><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes  48.784 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-tutorials-tacotron2-pipeline-tutorial-py">
 <div class="sphx-glr-download sphx-glr-download-python docutils container">
 <p><a class="reference download internal" download="" href="../_downloads/9772cbd0af96f57f17a2da758b365a43/tacotron2_pipeline_tutorial.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">tacotron2_pipeline_tutorial.py</span></code></a></p>
diff --git a/main/utils.html b/main/utils.html
index 29f8d0bc24..21b112a1cc 100644
--- a/main/utils.html
+++ b/main/utils.html
@@ -10,7 +10,7 @@
 
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   
-  <title>torchaudio.utils &mdash; Torchaudio 2.5.0.dev20241017 documentation</title>
+  <title>torchaudio.utils &mdash; Torchaudio 2.5.0.dev20241104 documentation</title>
   
 
   
@@ -224,7 +224,7 @@
           <div class="pytorch-left-menu-search">
             
     <div class="version">
-      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241017 &#x25BC</span></a>
+      <a href="../versions.html"><span style="font-size:110%">2.5.0.dev20241104 &#x25BC</span></a>
     </div>
     
 
diff --git a/stable b/stable
index 9183195ace..68151b2e10 120000
--- a/stable
+++ b/stable
@@ -1 +1 @@
-2.4.0
\ No newline at end of file
+2.5
\ No newline at end of file
diff --git a/versions.html b/versions.html
index 1fb9089670..0ed4c98a5b 100644
--- a/versions.html
+++ b/versions.html
@@ -21,7 +21,10 @@ <h1> PyTorch Documentation </h1>
           <a class="reference internal" href="main/">main (unstable)</a>
         </li>
         <li class="toctree-l1">
-          <a class="reference internal" href="2.4.0/">v2.4.0 (stable release)</a>
+          <a class="reference internal" href="2.5.0/">v2.5.0 (stable release)</a>
+        </li>
+        <li class="toctree-l1">
+          <a class="reference internal" href="2.4.0/">v2.4.0</a>
         </li>
         <li class="toctree-l1">
           <a class="reference internal" href="2.3.0/">v2.3.0</a>