From 8e12fb860819b86b37afd7cf8ae83bd490260895 Mon Sep 17 00:00:00 2001 From: tocean Date: Sun, 18 Feb 2024 07:41:33 +0000 Subject: [PATCH] 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 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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 ```