FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04 LABEL maintainer="Hugging Face" ARG DEBIAN_FRONTEND=noninteractive # Use login shell to read variables from `~/.profile` (to pass dynamic created variables between RUN commands) SHELL ["sh", "-lc"] # The following `ARG` are mainly used to specify the versions explicitly & directly in this docker file, and not meant # to be used as arguments for docker build (so far). ARG PYTORCH='2.0.1' # (not always a valid torch version) ARG INTEL_TORCH_EXT='1.11.0' # Example: `cu102`, `cu113`, etc. ARG CUDA='cu118' RUN apt update RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg git-lfs RUN git lfs install 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 # TODO: Handle these in a python utility script RUN [ ${#PYTORCH} -gt 0 -a "$PYTORCH" != "pre" ] && VERSION='torch=='$PYTORCH'.*' || VERSION='torch'; echo "export VERSION='$VERSION'" >> ~/.profile RUN echo torch=$VERSION # `torchvision` and `torchaudio` should be installed along with `torch`, especially for nightly build. # Currently, let's just use their latest releases (when `torch` is installed with a release version) # TODO: We might need to specify proper versions that work with a specific torch version (especially for past CI). RUN [ "$PYTORCH" != "pre" ] && python3 -m pip install --no-cache-dir -U $VERSION torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/$CUDA || python3 -m pip install --no-cache-dir -U --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/$CUDA RUN python3 -m pip install --no-cache-dir -U tensorflow==2.13 protobuf==3.20.3 tensorflow_text tensorflow_probability RUN python3 -m pip install --no-cache-dir -e ./transformers[dev,onnxruntime] RUN python3 -m pip uninstall -y flax jax RUN python3 -m pip install --no-cache-dir intel_extension_for_pytorch==$INTEL_TORCH_EXT+cpu -f https://developer.intel.com/ipex-whl-stable-cpu RUN python3 -m pip install --no-cache-dir git+https://github.com/facebookresearch/detectron2.git pytesseract RUN python3 -m pip install -U "itsdangerous<2.1.0" RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/peft@main#egg=peft # Add bitsandbytes for mixed int8 testing RUN python3 -m pip install --no-cache-dir bitsandbytes # Add auto-gptq for gtpq quantization testing RUN python3 -m pip install --no-cache-dir auto-gptq --extra-index-url https://huggingface.github.io/autogptq-index/whl/cu118/ # Add einops for additional model testing RUN python3 -m pip install --no-cache-dir einops # For bettertransformer + gptq RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/optimum@main#egg=optimum # For video model testing RUN python3 -m pip install --no-cache-dir decord av==9.2.0 # For `dinat` model RUN python3 -m pip install --no-cache-dir natten -f https://shi-labs.com/natten/wheels/$CUDA/ # 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