marcc-hpc/tensorflow:1.10.1-gpu-py3

$ singularity pull shub://marcc-hpc/tensorflow:1.10.1-gpu-py3

Singularity Recipe

Bootstrap: docker
From: tensorflow/tensorflow:1.10.1-gpu-py3

%environment
  # use bash as default shell
  SHELL=/bin/bash
  export SHELL

%setup
  # runs on host - the path to the image is $SINGULARITY_ROOTFS

%post
  # post-setup script

  # load environment variables
  . /environment

  # use bash as default shell
  echo 'SHELL=/bin/bash' >> /environment

  # make environment file executable
  chmod +x /environment

  # additional packages
  apt-get update
  apt-get install -y python-tk
  apt-get install -y libsm6 libxext6
  pip install selenium
  pip install moviepy
  pip install lmdb
  pip install opencv-contrib-python
  pip install cryptography

%runscript
  # executes with the singularity run command
  # delete this section to use existing docker ENTRYPOINT command

%test
  # test that script is a success

Collection


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Metrics

key value
id /containers/marcc-hpc-tensorflow-1.10.1-gpu-py3
collection name marcc-hpc/tensorflow
branch 1.10.1-gpu-py3
tag 1.10.1-gpu-py3
commit 540f93135c8ea030c806a3a69fd060abdd103b2f
version (container hash) 58fdf2a39756797243f8c77322db8016
build date 2019-07-16T15:58:19.955Z
size (MB) 3214
size (bytes) 1558552607
SIF Download URL (please use pull with shub://)
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Singularity Recipe Singularity Recipe on Datalad
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