added me as maintainer
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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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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# The maintainers of subsequent sections may vary
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############################################################################
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#################### Dependency: jupyter/base-image ########################
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@ -356,6 +357,8 @@ RUN julia -e 'import Pkg; Pkg.update()' && \
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########################## Dependency: gpulibs #############################
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############################################################################
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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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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@ -384,6 +387,8 @@ RUN conda install -y -c pytorch \
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############################ Useful packages ###############################
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############################################################################
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# Update conda
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RUN conda update -n base conda -y
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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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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# 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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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# The maintainers of subsequent sections may vary
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@ -1,3 +1,5 @@
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LABEL maintainer="Christoph Schranz <christoph.schranz@salzburgresearch.at>"
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# Update conda
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RUN conda update -n base conda -y
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