mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-03 12:50:06 +06:00
83 lines
4.0 KiB
Docker
83 lines
4.0 KiB
Docker
FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04
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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='2.6.0'
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# (not always a valid torch version)
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ARG INTEL_TORCH_EXT='2.3.0'
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# Example: `cu102`, `cu113`, etc.
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ARG CUDA='cu121'
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# Disable kernel mapping for now until all tests pass
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ENV DISABLE_KERNEL_MAPPING=1
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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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# 1. Put several commands in a single `RUN` to avoid image/layer exporting issue. Could be revised in the future.
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# 2. Regarding `torch` part, We might need to specify proper versions for `torchvision` and `torchaudio`.
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# Currently, let's not bother to specify their versions explicitly (so installed with their latest release versions).
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RUN python3 -m pip install --no-cache-dir -U tensorflow==2.13 protobuf==3.20.3 "tensorflow_text<2.16" "tensorflow_probability<0.22" && python3 -m pip install --no-cache-dir -e ./transformers[dev,onnxruntime] && [ ${#PYTORCH} -gt 0 -a "$PYTORCH" != "pre" ] && VERSION='torch=='$PYTORCH'.*' || VERSION='torch'; echo "export VERSION='$VERSION'" >> ~/.profile && echo torch=$VERSION && [ "$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/$CUDA
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RUN python3 -m pip uninstall -y flax jax
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RUN python3 -m pip install --no-cache-dir intel_extension_for_pytorch==$INTEL_TORCH_EXT -f https://developer.intel.com/ipex-whl-stable-cpu
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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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RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/peft@main#egg=peft
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# For bettertransformer
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RUN python3 -m pip install --no-cache-dir git+https://github.com/huggingface/optimum@main#egg=optimum
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# For video model testing
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RUN python3 -m pip install --no-cache-dir av
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# Some slow tests require bnb
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RUN python3 -m pip install --no-cache-dir bitsandbytes
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# Some tests require quanto
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RUN python3 -m pip install --no-cache-dir quanto
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# `quanto` will install `ninja` which leads to many `CUDA error: an illegal memory access ...` in some model tests
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# (`deformable_detr`, `rwkv`, `mra`)
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RUN python3 -m pip uninstall -y ninja
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# For `dinat` model
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# The `XXX` part in `torchXXX` needs to match `PYTORCH` (to some extent)
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# pin `0.17.4` otherwise `cannot import name 'natten2dav' from 'natten.functional'`
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RUN python3 -m pip install --no-cache-dir natten==0.17.4+torch250cu121 -f https://shi-labs.com/natten/wheels
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# For `nougat` tokenizer
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RUN python3 -m pip install --no-cache-dir python-Levenshtein
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# For `FastSpeech2ConformerTokenizer` tokenizer
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RUN python3 -m pip install --no-cache-dir g2p-en
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# For Some bitsandbytes tests
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RUN python3 -m pip install --no-cache-dir einops
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# For Some tests with `@require_liger_kernel`
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RUN python3 -m pip install --no-cache-dir liger-kernel
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# `kernels` may give different outputs (within 1e-5 range) even with the same model (weights) and the same inputs
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RUN python3 -m pip uninstall -y kernels
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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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