mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-19 12:38:23 +06:00
3412f5979d
* Use PyAV instead of Decord * Get frame indices * Fix number of frames * Update src/transformers/models/videomae/image_processing_videomae.py * Fix up * Fix copies * Update timesformer doctests * Update docstrings
63 lines
3.3 KiB
Docker
63 lines
3.3 KiB
Docker
FROM nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04
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LABEL maintainer="Hugging Face"
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ARG DEBIAN_FRONTEND=noninteractive
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# Use login shell to read variables from `~/.profile` (to pass dynamic created variables between RUN commands)
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SHELL ["sh", "-lc"]
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# The following `ARG` are mainly used to specify the versions explicitly & directly in this docker file, and not meant
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# to be used as arguments for docker build (so far).
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ARG PYTORCH='1.13.1'
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# (not always a valid torch version)
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ARG INTEL_TORCH_EXT='1.11.0'
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# Example: `cu102`, `cu113`, etc.
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ARG CUDA='cu116'
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RUN apt update
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RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg git-lfs
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RUN git lfs install
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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 install --no-cache-dir -e ./transformers[dev,onnxruntime]
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# TODO: Handle these in a python utility script
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RUN [ ${#PYTORCH} -gt 0 -a "$PYTORCH" != "pre" ] && VERSION='torch=='$PYTORCH'.*' || VERSION='torch'; echo "export VERSION='$VERSION'" >> ~/.profile
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RUN echo torch=$VERSION
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# `torchvision` and `torchaudio` should be installed along with `torch`, especially for nightly build.
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# Currently, let's just use their latest releases (when `torch` is installed with a release version)
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# TODO: We might need to specify proper versions that work with a specific torch version (especially for past CI).
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RUN [ "$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/$CUDA
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RUN python3 -m pip install --no-cache-dir -U tensorflow==2.11
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RUN python3 -m pip install --no-cache-dir -U tensorflow_probability
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RUN python3 -m pip uninstall -y flax jax
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# To include the change in this commit https://github.com/onnx/tensorflow-onnx/commit/ddca3a5eb2d912f20fe7e0568dd1a3013aee9fa3
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# Otherwise, we get tf2onnx==1.8 (caused by `flatbuffers` version), and some tests fail with `ValueError: from_keras requires input_signature`.
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# TODO: remove this line once the conflict is resolved in these libraries.
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RUN python3 -m pip install --no-cache-dir git+https://github.com/onnx/tensorflow-onnx.git@ddca3a5eb2d912f20fe7e0568dd1a3013aee9fa3
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RUN python3 -m pip install --no-cache-dir intel_extension_for_pytorch==$INTEL_TORCH_EXT+cpu -f https://software.intel.com/ipex-whl-stable
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RUN python3 -m pip install --no-cache-dir git+https://github.com/facebookresearch/detectron2.git pytesseract
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RUN python3 -m pip install -U "itsdangerous<2.1.0"
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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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# Add bitsandbytes for mixed int8 testing
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RUN python3 -m pip install --no-cache-dir bitsandbytes
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# For video model testing
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RUN python3 -m pip install --no-cache-dir decord av==9.2.0
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# For `dinat` model
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RUN python3 -m pip install --no-cache-dir natten -f https://shi-labs.com/natten/wheels/$CUDA/
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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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