mirror of
https://github.com/huggingface/transformers.git
synced 2025-10-20 17:13:56 +08:00
36 lines
1.9 KiB
Docker
36 lines
1.9 KiB
Docker
FROM python:3.10-slim
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ENV PYTHONDONTWRITEBYTECODE=1
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ARG REF=main
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USER root
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RUN apt-get update && apt-get install -y libsndfile1-dev espeak-ng time git cmake wget xz-utils build-essential g++5 libprotobuf-dev protobuf-compiler git-lfs curl
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ENV UV_PYTHON=/usr/local/bin/python
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RUN pip --no-cache-dir install uv && uv pip install --no-cache-dir -U pip setuptools
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RUN wget https://github.com/ku-nlp/jumanpp/releases/download/v2.0.0-rc3/jumanpp-2.0.0-rc3.tar.xz
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RUN tar xvf jumanpp-2.0.0-rc3.tar.xz
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RUN mkdir jumanpp-2.0.0-rc3/bld
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WORKDIR ./jumanpp-2.0.0-rc3/bld
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RUN wget -LO catch.hpp https://github.com/catchorg/Catch2/releases/download/v2.13.8/catch.hpp
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RUN mv catch.hpp ../libs/
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RUN cmake .. -DCMAKE_INSTALL_PREFIX=/usr/local
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RUN make install -j 10
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WORKDIR /
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RUN uv pip install --no-cache --upgrade 'torch<2.9' --index-url https://download.pytorch.org/whl/cpu
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RUN uv pip install --no-cache-dir --no-deps accelerate --extra-index-url https://download.pytorch.org/whl/cpu
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RUN uv pip install --no-cache-dir "git+https://github.com/huggingface/transformers.git@${REF}#egg=transformers[ja,testing,sentencepiece,spacy,ftfy,rjieba]" unidic unidic-lite
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# spacy is not used so not tested. Causes to failures. TODO fix later
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RUN uv run python -m unidic download
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# fetch test data and hub objects within CircleCI docker images to reduce even more connections
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# we don't need a full clone of `transformers` to run `fetch_hub_objects_for_ci.py`
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# the data are downloaded to the directory `/test_data` and during CircleCI's CI runtime, we need to move them to the root of `transformers`
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RUN mkdir test_data && cd test_data && curl -O https://raw.githubusercontent.com/huggingface/transformers/${REF}/utils/fetch_hub_objects_for_ci.py && python3 fetch_hub_objects_for_ci.py
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RUN uv pip uninstall transformers
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RUN apt-get clean && rm -rf /var/lib/apt/lists/*
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RUN apt remove -y g++ cmake xz-utils libprotobuf-dev protobuf-compiler
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