Dockerfile

ARG PYTORCH="1.6.0"
ARG CUDA="10.1"
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))/../"

RUN rm /etc/apt/sources.list.d/cuda.list
RUN rm /etc/apt/sources.list.d/nvidia-ml.list
RUN apt-key del 7fa2af80
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 ffmpeg \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Install mmcv-full
RUN pip install mmcv-full==1.5.0 -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html mmdet==2.19.0
RUN pip install webcolors
RUN pip install moviepy
RUN pip install timm
RUN pip install ffmpeg-python
RUN pip install xlrd==1.2.0

# Install MMAction2
RUN conda clean --all
RUN git clone https://github.com/open-mmlab/mmaction2.git /mmaction2
COPY . /mmaction2
RUN cd /mmaction2
WORKDIR /mmaction2
RUN mkdir -p /mmaction2/data
RUN chmod 777 /mmaction2
ENV FORCE_CUDA="1"
RUN pip install cython --no-cache-dir
RUN pip install --no-cache-dir -e .
RUN cp base.py mmaction/datasets/
RUN export TORCH_HOME=.