mirror of https://github.com/open-mmlab/mmocr.git
parent
39f99ac720
commit
b64565c10f
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@ -1,13 +1,9 @@
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ARG PYTORCH="1.6.0"
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ARG CUDA="10.1"
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ARG CUDNN="7"
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ARG PYTORCH="1.9.0"
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ARG CUDA="11.1"
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ARG CUDNN="8"
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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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@ -16,13 +12,13 @@ RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 lib
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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RUN conda clean --all
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RUN pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.6.0/index.html
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RUN pip install mmdet
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RUN pip install -U openmim
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RUN mim install mmengine
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RUN mim install 'mmcv>=2.0.0rc1'
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RUN pip install 'mmdet>=3.0.0rc0'
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RUN git clone https://github.com/open-mmlab/mmocr.git /mmocr
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WORKDIR /mmocr
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ENV FORCE_CUDA="1"
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RUN pip install -r requirements.txt
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RUN pip install --no-cache-dir -e .
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RUN pip install -r requirements/albu.txt
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