From 8e12fb860819b86b37afd7cf8ae83bd490260895 Mon Sep 17 00:00:00 2001
From: tocean <yuxiangyang@microsoft.com>
Date: Sun, 18 Feb 2024 07:41:33 +0000
Subject: [PATCH 1/3] update document

---
 .github/workflows/unit-tests.yaml        |   6 +++---
 dockerfile/entrypoint.sh                 |   5 +++++
 dockerfile/torch1.14-cuda11.8.dockerfile |   5 +++++
 dockerfile/torch2.1-cuda12.2.dockerfile  |  11 +++++++----
 docs/assets/gpt-performance.png          | Bin 120241 -> 110315 bytes
 docs/getting-started/installation.mdx    |   8 ++++----
 6 files changed, 24 insertions(+), 11 deletions(-)
 create mode 100644 dockerfile/entrypoint.sh

diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml
index 6c28b8ce..e739be01 100644
--- a/.github/workflows/unit-tests.yaml
+++ b/.github/workflows/unit-tests.yaml
@@ -16,11 +16,11 @@ jobs:
         # 1.14.0a0+410ce96
         - torch: "1.14"
           nvcr: 22.12-py3
-          dir: torch1
-        # 2.1.0a0+fe05266f
+          dir: ../torch1
+        # 2.1.0a0+32f93b1
         - torch: "2.1"
           nvcr: 23.10-py3
-          dir: torch2
+          dir: ../torch2
     container:
       image: nvcr.io/nvidia/pytorch:${{ matrix.nvcr }}
       options: --privileged --ipc=host --gpus=all
diff --git a/dockerfile/entrypoint.sh b/dockerfile/entrypoint.sh
new file mode 100644
index 00000000..9e42135f
--- /dev/null
+++ b/dockerfile/entrypoint.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+
+ldconfig
+
+exec "$@"
\ No newline at end of file
diff --git a/dockerfile/torch1.14-cuda11.8.dockerfile b/dockerfile/torch1.14-cuda11.8.dockerfile
index 7f178b7c..8b159501 100644
--- a/dockerfile/torch1.14-cuda11.8.dockerfile
+++ b/dockerfile/torch1.14-cuda11.8.dockerfile
@@ -57,3 +57,8 @@ RUN python3 -m pip install . && \
     make postinstall
 
 ENV LD_PRELOAD="/usr/local/lib/libmsamp_dist.so:/usr/local/lib/libnccl.so:${LD_PRELOAD}"
+
+# Set up entrypoint
+COPY dockerfile/entrypoint.sh /entrypoint.sh
+RUN chmod +x /entrypoint.sh
+ENTRYPOINT ["/entrypoint.sh"]
diff --git a/dockerfile/torch2.1-cuda12.2.dockerfile b/dockerfile/torch2.1-cuda12.2.dockerfile
index 96deb9ac..4dee17bb 100644
--- a/dockerfile/torch2.1-cuda12.2.dockerfile
+++ b/dockerfile/torch2.1-cuda12.2.dockerfile
@@ -1,11 +1,11 @@
 FROM nvcr.io/nvidia/pytorch:23.10-py3
 
 # Ubuntu: 22.04
-# Python: 3.8
+# Python: 3.10
 # CUDA: 12.2.0
 # cuDNN: 8.9.5
 # NCCL: v2.16.2-1 + FP8 Support
-# PyTorch: 2.1.0a0+fe05266f
+# PyTorch: 2.1.0a0+32f93b1
 
 LABEL maintainer="MS-AMP"
 
@@ -44,8 +44,6 @@ WORKDIR /opt/msamp
 ADD third_party third_party
 RUN cd third_party/msccl && \
     make -j ${NUM_MAKE_JOBS} src.build NVCC_GENCODE="\
-    -gencode=arch=compute_70,code=sm_70 \
-    -gencode=arch=compute_80,code=sm_80 \
     -gencode=arch=compute_90,code=sm_90" && \
     make install
 # cache TE build to save time in CI
@@ -57,3 +55,8 @@ RUN python3 -m pip install . && \
     make postinstall
 
 ENV LD_PRELOAD="/usr/local/lib/libmsamp_dist.so:/usr/local/lib/libnccl.so:${LD_PRELOAD}"
+
+# Set up entrypoint
+COPY dockerfile/entrypoint.sh /entrypoint.sh
+RUN chmod +x /entrypoint.sh
+ENTRYPOINT ["/entrypoint.sh"]
diff --git a/docs/assets/gpt-performance.png b/docs/assets/gpt-performance.png
index 8269d60d3e660d0430444ad14b64430fb7cefa3b..a54241c4556fa71ea7d72335dddab79123e50adc 100644
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diff --git a/docs/getting-started/installation.mdx b/docs/getting-started/installation.mdx
index f8c2caa3..de8b9b0b 100644
--- a/docs/getting-started/installation.mdx
+++ b/docs/getting-started/installation.mdx
@@ -18,7 +18,7 @@ Here're the system requirements for MS-AMP.
 * CUDA version 11 or later (which can be checked by running `nvcc --version`).
 * PyTorch version 1.14 or later (which can be checked by running `python -c "import torch; print(torch.__version__)"`).
 
-You can try MS-AMP in two ways: Using Docker or installing from source:  
+You can try MS-AMP in two ways: Using Docker or installing from source.  
 
 * Using Docker is a convenient way to get started with MS-AMP. You can use the pre-built Docker image to quickly set up an environment for running MS-AMP.  
 * On the other hand, installing from source gives you more control over the installation process and allows you to customize the installation to your needs.
@@ -28,8 +28,8 @@ You can try MS-AMP in two ways: Using Docker or installing from source:
 You can try the latest MS-AMP Docker container with the following commands:
 
 ```bash
-sudo docker run -it -d --name=msampcu121 --privileged --net=host --ipc=host --gpus=all -v /:/hostroot ghcr.io/azure/msamp:main-cuda12.1 bash
-sudo docker exec -it msampcu121 bash
+sudo docker run -it -d --name=msampcu122 --privileged --net=host --ipc=host --gpus=all -v /:/hostroot ghcr.io/azure/msamp:main-cuda12.2 bash
+sudo docker exec -it msampcu122 bash
 ```
 
 MS-AMP is pre-installed in Docker container and you can verify it by running:
@@ -46,7 +46,7 @@ We strongly recommend using [PyTorch NGC Container](https://catalog.ngc.nvidia.c
 For example, to start PyTorch 2.1 container, run the following command:
 
 ```bash
-sudo docker run -it -d --name=msamp --privileged --net=host --ipc=host --gpus=all nvcr.io/nvidia/pytorch:23.04-py3 bash
+sudo docker run -it -d --name=msamp --privileged --net=host --ipc=host --gpus=all nvcr.io/nvidia/pytorch:23.10-py3 bash
 sudo docker exec -it msamp bash
 ```
 

From 4aa84a3dd85c222d62dd36744a81de089ab25607 Mon Sep 17 00:00:00 2001
From: tocean <yuxiangyang@microsoft.com>
Date: Sun, 18 Feb 2024 07:53:00 +0000
Subject: [PATCH 2/3] fix bug

---
 .github/workflows/unit-tests.yaml       | 4 ++--
 dockerfile/torch2.1-cuda12.2.dockerfile | 2 ++
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml
index e739be01..fae3a106 100644
--- a/.github/workflows/unit-tests.yaml
+++ b/.github/workflows/unit-tests.yaml
@@ -16,11 +16,11 @@ jobs:
         # 1.14.0a0+410ce96
         - torch: "1.14"
           nvcr: 22.12-py3
-          dir: ../torch1
+          dir: torch1
         # 2.1.0a0+32f93b1
         - torch: "2.1"
           nvcr: 23.10-py3
-          dir: ../torch2
+          dir: torch2
     container:
       image: nvcr.io/nvidia/pytorch:${{ matrix.nvcr }}
       options: --privileged --ipc=host --gpus=all
diff --git a/dockerfile/torch2.1-cuda12.2.dockerfile b/dockerfile/torch2.1-cuda12.2.dockerfile
index 4dee17bb..3fd0a0e8 100644
--- a/dockerfile/torch2.1-cuda12.2.dockerfile
+++ b/dockerfile/torch2.1-cuda12.2.dockerfile
@@ -44,6 +44,8 @@ WORKDIR /opt/msamp
 ADD third_party third_party
 RUN cd third_party/msccl && \
     make -j ${NUM_MAKE_JOBS} src.build NVCC_GENCODE="\
+    -gencode=arch=compute_70,code=sm_70 \
+    -gencode=arch=compute_80,code=sm_80 \
     -gencode=arch=compute_90,code=sm_90" && \
     make install
 # cache TE build to save time in CI

From 880d20faa8224ae6d5f7d3a8fb0f1b92a54f7f5b Mon Sep 17 00:00:00 2001
From: tocean <yuxiangyang@microsoft.com>
Date: Mon, 19 Feb 2024 00:47:36 +0000
Subject: [PATCH 3/3] fix bug

---
 .github/workflows/unit-tests.yaml | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/.github/workflows/unit-tests.yaml b/.github/workflows/unit-tests.yaml
index fae3a106..5680f381 100644
--- a/.github/workflows/unit-tests.yaml
+++ b/.github/workflows/unit-tests.yaml
@@ -57,6 +57,10 @@ jobs:
         export LD_PRELOAD="/usr/local/lib/libmsamp_dist.so:/usr/local/lib/libnccl.so:${LD_PRELOAD}"
         cd ${{ matrix.dir }}/
         python3 setup.py test
+    - name: Clean repository
+      if: always()
+      run: |
+        rm -rf ${{ matrix.dir }}/
     # - name: Report coverage results
     #   run: |
     #     bash <(curl -s https://codecov.io/bash)