change to cuda 10.2
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@ -1,4 +1,4 @@
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# Use NVIDIA CUDA as base image and run the same installation as in the other packages.
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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:10.1-base-ubuntu18.04
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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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@ -7,7 +7,7 @@ RUN conda install --quiet --yes \
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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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