pkmital / cyclegan Goto Github PK

~/CycleGAN$ sudo nvidia-docker build -t cyclegan-gpu -f Dockerfile-gpu .
Sending build context to Docker daemon  14.17MB
Step 1/16 : FROM nvidia/cuda:9.0-cudnn7-runtime-ubuntu16.04
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Step 2/16 : ENV LD_LIBRARY_PATH $LD_LIBRARY_PATH:/usr/local/cuda/lib64
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Step 3/16 : ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
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Step 4/16 : RUN apt-get update --fix-missing && apt-get install -y wget bzip2 ca-certificates     libglib2.0-0 libxext6 libsm6 libxrender1     git mercurial subversion
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Step 5/16 : RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh &&     wget --quiet https://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh -O ~/anaconda.sh &&     /bin/bash ~/anaconda.sh -b -p /opt/conda &&     rm ~/anaconda.sh
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Step 6/16 : RUN apt-get install -y curl grep sed dpkg &&     TINI_VERSION=`curl https://github.com/krallin/tini/releases/latest | grep -o "/v.*\"" | sed 's:^..\(.*\).$:\1:'` &&     curl -L "https://github.com/krallin/tini/releases/download/v${TINI_VERSION}/tini_${TINI_VERSION}.deb" > tini.deb &&     dpkg -i tini.deb && rm tini.deb &&     apt-get clean
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Step 7/16 : ENV PATH /opt/conda/bin:$PATH
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Step 8/16 : ENV TENSORFLOW_VERSION 1.5.0
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Step 9/16 : RUN pip install tensorflow-gpu==$TENSORFLOW_VERSION
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Step 10/16 : COPY jupyter_notebook_config.py /root/.jupyter/
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Step 11/16 : COPY run_jupyter.sh /
COPY failed: stat /var/lib/docker/tmp/docker-builder196118151/run_jupyter.sh: no such file or directory```