56 lines
2.7 KiB
Docker
56 lines
2.7 KiB
Docker
# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-23-11.html#rel-23-11
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FROM nvcr.io/nvidia/pytorch:23.11-py3
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LABEL maintainer="Hugging Face"
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ARG DEBIAN_FRONTEND=noninteractive
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ARG PYTORCH='2.1.0'
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# Example: `cu102`, `cu113`, etc.
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ARG CUDA='cu121'
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RUN apt -y update
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RUN apt install -y libaio-dev
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RUN python3 -m pip install --no-cache-dir --upgrade pip
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ARG REF=main
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RUN git clone https://github.com/huggingface/transformers && cd transformers && git checkout $REF
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RUN python3 -m pip uninstall -y torch torchvision torchaudio
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# Install latest release PyTorch
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# (PyTorch must be installed before pre-compiling any DeepSpeed c++/cuda ops.)
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# (https://www.deepspeed.ai/tutorials/advanced-install/#pre-install-deepspeed-ops)
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RUN python3 -m pip install --no-cache-dir -U torch==$PYTORCH torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA
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RUN python3 -m pip install --no-cache-dir ./transformers[deepspeed-testing]
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RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate
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# Uninstall `transformer-engine` shipped with the base image
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RUN python3 -m pip uninstall -y transformer-engine
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# Uninstall `torch-tensorrt` shipped with the base image
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RUN python3 -m pip uninstall -y torch-tensorrt
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# recompile apex
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RUN python3 -m pip uninstall -y apex
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# RUN git clone https://github.com/NVIDIA/apex
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# `MAX_JOBS=1` disables parallel building to avoid cpu memory OOM when building image on GitHub Action (standard) runners
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# TODO: check if there is alternative way to install latest apex
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# RUN cd apex && MAX_JOBS=1 python3 -m pip install --global-option="--cpp_ext" --global-option="--cuda_ext" --no-cache -v --disable-pip-version-check .
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# Pre-build **latest** DeepSpeed, so it would be ready for testing (otherwise, the 1st deepspeed test will timeout)
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RUN python3 -m pip uninstall -y deepspeed
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# This has to be run (again) inside the GPU VMs running the tests.
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# The installation works here, but some tests fail, if we don't pre-build deepspeed again in the VMs running the tests.
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# TODO: Find out why test fail.
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RUN DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 python3 -m pip install deepspeed --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check 2>&1
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# When installing in editable mode, `transformers` is not recognized as a package.
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# this line must be added in order for python to be aware of transformers.
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RUN cd transformers && python3 setup.py develop
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# The base image ships with `pydantic==1.8.2` which is not working - i.e. the next command fails
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RUN python3 -m pip install -U --no-cache-dir "pydantic<2"
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RUN python3 -c "from deepspeed.launcher.runner import main"
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