gpu-libs installer instead of splitted tensorflow and pytorch
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23
src/Dockerfile.gpulibs
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23
src/Dockerfile.gpulibs
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# Install Tensorflow
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RUN conda install --quiet --yes \
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'tensorflow=1.13*' \
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'keras=2.2*' && \
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conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install PyTorch dependencies
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RUN conda install --quiet --yes \
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pyyaml mkl mkl-include setuptools cmake cffi typing && \
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conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install PyTorch, version of cudatoolkit must match those of the base image
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RUN conda install -y -c pytorch \
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cudatoolkit=10.1 \
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'pytorch=1.3.1' \
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torchvision && \
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conda clean --all -f -y && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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