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use nvidia/cuda:10.1-base-ubuntu18.04 as base image
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# Use NVIDIA CUDA as base image and run the same installation as in the other packages. | ||
# The version of cudatoolkit must match those of the base image, see Dockerfile.pytorch | ||
FROM nvidia/cuda:10.1-base-ubuntu18.04 | ||
LABEL maintainer="Christoph Schranz <[email protected]>" | ||
FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 | ||
LABEL authors="Christoph Schranz <[email protected]>, Mathematical Michael <[email protected]>" | ||
# This is a concatenated Dockerfile, the maintainers of subsequent sections may vary. | ||
RUN chmod 1777 /tmp && chmod 1777 /var/tmp | ||
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@@ -41,7 +41,6 @@ RUN apt-get update \ | |
locales \ | ||
fonts-liberation \ | ||
run-one \ | ||
openssh-client \ | ||
&& apt-get clean && rm -rf /var/lib/apt/lists/* | ||
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RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \ | ||
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@@ -385,11 +384,6 @@ LABEL maintainer="Christoph Schranz <[email protected]>" | |
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# Install Tensorflow, check compatibility here: https://www.tensorflow.org/install/gpu | ||
# installation via conda leads to errors in version 4.8.2 | ||
#RUN conda install --quiet --yes \ | ||
# 'tensorflow-gpu=2.1*' \ | ||
# 'keras-gpu' && \ | ||
# fix-permissions $CONDA_DIR && \ | ||
# fix-permissions /home/$NB_USER | ||
RUN pip install --upgrade pip && \ | ||
pip install --no-cache-dir "tensorflow-gpu>=2.1.*" && \ | ||
pip install --no-cache-dir keras | ||
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@@ -414,7 +408,7 @@ RUN conda clean --all -f -y && \ | |
############################ Useful packages ############################### | ||
############################################################################ | ||
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LABEL maintainer="Christoph Schranz <[email protected]>" | ||
LABEL authors="Christoph Schranz <[email protected]>, Mathematical Michael <[email protected]>" | ||
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USER root | ||
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@@ -432,7 +426,7 @@ RUN set -ex \ | |
graphviz==0.11 \ | ||
' \ | ||
&& apt-get update \ | ||
&& apt-get -y install htop apt-utils graphviz libgraphviz-dev \ | ||
&& apt-get -y install htop apt-utils graphviz libgraphviz-dev openssh-client \ | ||
&& pip install --no-cache-dir $buildDeps | ||
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# Install various extensions | ||
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|
@@ -2,11 +2,6 @@ LABEL maintainer="Christoph Schranz <[email protected]>" | |
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||
# Install Tensorflow, check compatibility here: https://www.tensorflow.org/install/gpu | ||
# installation via conda leads to errors in version 4.8.2 | ||
#RUN conda install --quiet --yes \ | ||
# 'tensorflow-gpu=2.1*' \ | ||
# 'keras-gpu' && \ | ||
# fix-permissions $CONDA_DIR && \ | ||
# fix-permissions /home/$NB_USER | ||
RUN pip install --upgrade pip && \ | ||
pip install --no-cache-dir "tensorflow-gpu>=2.1.*" && \ | ||
pip install --no-cache-dir keras | ||
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@@ -15,9 +10,6 @@ RUN pip install --upgrade pip && \ | |
RUN conda install --quiet --yes \ | ||
pyyaml mkl mkl-include setuptools cmake cffi typing | ||
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# Deep-NN libs | ||
RUN apt-get update && apt-get install -y libcudnn7-dev && rm -rf /var/lib/apt/lists/* | ||
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# Check compatibility here: https://pytorch.org/get-started/locally/ | ||
RUN conda install --quiet --yes \ | ||
pytorch \ | ||
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# Use NVIDIA CUDA as base image and run the same installation as in the other packages. | ||
# The version of cudatoolkit must match those of the base image, see Dockerfile.pytorch | ||
FROM nvidia/cuda:10.1-base-ubuntu18.04 | ||
LABEL maintainer="Christoph Schranz <[email protected]>" | ||
FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 | ||
LABEL authors="Christoph Schranz <[email protected]>, Mathematical Michael <[email protected]>" | ||
# This is a concatenated Dockerfile, the maintainers of subsequent sections may vary. | ||
RUN chmod 1777 /tmp && chmod 1777 /var/tmp |