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clean up runtime dockerfile, use cuda 9 package (#7230)
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@ -10,17 +10,15 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
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libpng-dev && \
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rm -rf /var/lib/apt/lists/*
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ENV PYTHON_VERSION=3.6
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RUN curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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chmod +x ~/miniconda.sh && \
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~/miniconda.sh -b -p /opt/conda && \
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rm ~/miniconda.sh && \
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/opt/conda/bin/conda install conda-build && \
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/opt/conda/bin/conda create -y --name pytorch-py$PYTHON_VERSION python=$PYTHON_VERSION numpy pyyaml scipy ipython mkl&& \
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/opt/conda/bin/conda install numpy pyyaml scipy ipython&& \
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/opt/conda/bin/conda clean -ya
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ENV PATH opt/conda/bin:/opt/conda/envs/pytorch-py$PYTHON_VERSION/bin:$PATH
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RUN conda install --name pytorch-py$PYTHON_VERSION -c pytorch magma-cuda80 && /opt/conda/bin/conda clean -ya
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RUN conda install --name pytorch-py$PYTHON_VERSION pytorch torchvision cuda80 -c pytorch && /opt/conda/bin/conda clean -ya
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ENV PATH /opt/conda/bin:$PATH
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RUN conda install pytorch torchvision cuda90 -c pytorch && /opt/conda/bin/conda clean -ya
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ENV NVIDIA_VISIBLE_DEVICES all
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ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
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