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