mirror of https://github.com/open-mmlab/mmpose
35 lines
1.1 KiB
Docker
35 lines
1.1 KiB
Docker
ARG PYTORCH="1.8.1"
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ARG CUDA="10.2"
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ARG CUDNN="7"
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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
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ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
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ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
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ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"
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# To fix GPG key error when running apt-get update
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RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
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RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
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RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx\
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Install xtcocotools
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RUN pip install cython
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RUN pip install xtcocotools
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# Install MMEngine and MMCV
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RUN pip install openmim
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RUN mim install mmengine "mmcv>=2.0.0"
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# Install MMPose
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RUN conda clean --all
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RUN git clone https://github.com/open-mmlab/mmpose.git /mmpose
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WORKDIR /mmpose
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RUN git checkout main
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ENV FORCE_CUDA="1"
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RUN pip install -r requirements/build.txt
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RUN pip install --no-cache-dir -e .
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