Update info about ResNet-18-w3d4 model

osmr · Aug 31, 2018 · c163028 · c163028
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Showing 5 changed files with 6 additions and 2 deletions.
diff --git a/README.md b/README.md
@@ -61,6 +61,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | ResNet-16 | 33.57 | 12.50 | 6,968,872 | 1,586.95M | 1-stage training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet16-1250-fc901840.params.log)) |
 | ResNet-18 x0.25 | 53.13 | 27.77 | 831,096 | 136.64M | 1-stage training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet18_wd4-2777-42c5a34c.params.log)) |
 | ResNet-18 x0.5 | 38.94 | 16.46 | 3,055,880 | 485.22M | 1-stage training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet18_wd2-1646-99006438.params.log)) |
+| ResNet-18 x0.75 | 33.25 | 12.54 | 6,675,352 | 1,045.75M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.18/resnet18_w3d4-1254-d6548612.params.log)) |
 | ResNet-18 | 29.13 | 9.94 | 11,689,512 | 1,818.21M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet18-0994-ae25f2b2.params.log)) |
 | ResNet-34 | 25.34 | 7.92 | 21,797,672 | 3,669.16M | Converted from Gluon Model Zoo ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet34-0792-5b875f49.params.log)) |
 | ResNet-50 | 23.50 | 6.87 | 25,557,032 | 3,868.96M | Converted from Gluon Model Zoo ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet50-0687-79fae958.params.log)) |
@@ -126,6 +127,7 @@ bottleneck block. Respectively a network without b-suffix has the stride in the
 | ResNet-16 | 33.73 | 12.87 | 6,968,872 | 1,586.95M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet16-1287-bdb0b7fa.pth.log)) |
 | ResNet-18 x0.25 | 53.37 | 28.06 | 831,096 | 136.64M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet18_wd4-2806-d0cda855.pth.log)) |
 | ResNet-18 x0.5 | 39.31 | 16.79 | 3,055,880 | 485.22M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet18_wd2-1679-12f81d73.pth.log)) |
+| ResNet-18 x0.75 | 33.61 | 12.85 | 6,675,352 | 1,045.75M | Training ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.18/resnet18_w3d4-1285-94713e0e.pth.log)) |
 | ResNet-18 | 29.52 | 10.21 | 11,689,512 | 1,818.21M | Converted from GL model ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet18-1021-b0d7daea.pth.log)) |
 | ResNet-34 | 25.66 | 8.18 | 21,797,672 | 3,669.16M | Converted from Gluon Model Zoo ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet34-0818-6f947d40.pth.log)) |
 | ResNet-50 | 23.79 | 7.05 | 25,557,032 | 3,868.96M | Converted from Gluon Model Zoo ([log](https://github.com/osmr/imgclsmob/releases/download/v0.0.1/resnet50-0705-f7a2027e.pth.log)) |

diff --git a/gluon/models/model_store.py b/gluon/models/model_store.py
@@ -16,6 +16,7 @@
     ('resnet16', '1250', 'fc901840ae90db3c2b4c388feb129baeed74ed6b', 'v0.0.1'),
     ('resnet18_wd4', '2777', '42c5a34cb9380f89377bb2122664ebbe087dd49d', 'v0.0.1'),
     ('resnet18_wd2', '1646', '99006438e7f89c0e46cfd5535ced5e173b6417a5', 'v0.0.1'),
+    ('resnet18_w3d4', '1254', 'd654861258936f678b928a92d88fd205a20777af', 'v0.0.18'),
     ('resnet18', '0994', 'ae25f2b27603955a3888f15286692a45d7396045', 'v0.0.1'),
     ('resnet34', '0792', '5b875f4934da8d83d44afc30d8e91362d3103115', 'v0.0.1'),
     ('resnet50', '0687', '79fae958a0acd7a66d688f6453b2bbbc5fe8b3d3', 'v0.0.1'),

diff --git a/gluon/models/resnet.py b/gluon/models/resnet.py
@@ -968,7 +968,7 @@ def _test():
         resnet16,
         resnet18_wd4,
         resnet18_wd2,
-        #resnet18_w3d4,
+        resnet18_w3d4,
 
         resnet18,
         resnet34,

diff --git a/pytorch/models/model_store.py b/pytorch/models/model_store.py
@@ -17,6 +17,7 @@
     ('resnet16', '1287', 'bdb0b7fa741ddab726bb85fb8311fa90bd80a859', 'v0.0.1'),
     ('resnet18_wd4', '2806', 'd0cda855f8772dddf3efef5cbd6ac5874d166ab4', 'v0.0.1'),
     ('resnet18_wd2', '1679', '12f81d7315e798ec944bb52bd492bdfed667fca4', 'v0.0.1'),
+    ('resnet18_w3d4', '1285', '94713e0e1780a9f19b2a5f4575eb254f8a67b556', 'v0.0.18'),
     ('resnet18', '1021', 'b0d7daeaab950f2a7106c8062c7435627b3fe3da', 'v0.0.1'),
     ('resnet34', '0818', '6f947d409313c862a1ef22c46e29b09c85eb9abf', 'v0.0.1'),
     ('resnet50', '0705', 'f7a2027ee704dac27a9b5184276dd7fd7969b9e8', 'v0.0.1'),

diff --git a/pytorch/models/resnet.py b/pytorch/models/resnet.py
@@ -868,7 +868,7 @@ def _test():
         resnet16,
         resnet18_wd4,
         resnet18_wd2,
-        # resnet18_w3d4,
+        resnet18_w3d4,
 
         resnet18,
         resnet34,