# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel_22-04.html#rel_22-04 FROM nvcr.io/nvidia/pytorch:22.04-py3 LABEL maintainer="Hugging Face" ARG DEBIAN_FRONTEND=noninteractive ARG PYTORCH='1.13.0' # Example: `cu102`, `cu113`, etc. ARG CUDA='cu116' RUN apt -y update RUN apt install -y libaio-dev RUN python3 -m pip install --no-cache-dir --upgrade pip ARG REF=main RUN git clone https://github.com/huggingface/transformers && cd transformers && git checkout $REF # Install latest release PyTorch # (PyTorch must be installed before pre-compiling any DeepSpeed c++/cuda ops.) # (https://www.deepspeed.ai/tutorials/advanced-install/#pre-install-deepspeed-ops) RUN python3 -m pip install --no-cache-dir -U torch==$PYTORCH torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA RUN python3 -m pip install --no-cache-dir ./transformers[deepspeed-testing] # The base image ships with `torch_tensorrt` which currently causes the DeepSpeed CI fail from test collection RUN python3 -m pip uninstall -y torch_tensorrt # Pre-build **latest** DeepSpeed, so it would be ready for testing (otherwise, the 1st deepspeed test will timeout) RUN python3 -m pip uninstall -y deepspeed # This has to be run (again) inside the GPU VMs running the tests. # The installation works here, but some tests fail, if we don't pre-build deepspeed again in the VMs running the tests. # TODO: Find out why test fail. RUN DS_BUILD_CPU_ADAM=1 DS_BUILD_FUSED_ADAM=1 DS_BUILD_AIO=1 DS_BUILD_UTILS=1 python3 -m pip install deepspeed --global-option="build_ext" --global-option="-j8" --no-cache -v --disable-pip-version-check 2>&1 # When installing in editable mode, `transformers` is not recognized as a package. # this line must be added in order for python to be aware of transformers. RUN cd transformers && python3 setup.py develop # The base image ships with `pydantic==1.8.2` which is not working - i.e. the next command fails RUN python3 -m pip install -U --no-cache-dir pydantic RUN python3 -c "from deepspeed.launcher.runner import main"