build image in .build/
nvidia/cuda:10.2-base-ubuntu18.04
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		@@ -1,5 +1,6 @@
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# Use NVIDIA CUDA as base image and run the same installation as in the other packages.
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FROM nvidia/cuda:10.1-base-ubuntu18.04
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# The version of cudatoolkit must match those of the base image, see Dockerfile.pytorch
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FROM nvidia/cuda:10.2-base-ubuntu18.04
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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############################################################################
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@@ -377,9 +378,9 @@ RUN conda install --quiet --yes \
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    fix-permissions $CONDA_DIR && \
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    fix-permissions /home/$NB_USER
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# Install PyTorch
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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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    cudatoolkit=10.2 \
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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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