antoniomagnani/tensorflow:1.10.1-gpu

$ singularity pull shub://antoniomagnani/tensorflow:1.10.1-gpu

Singularity Recipe

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

%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

  # default mount paths
  mkdir /scratch /data 

  # 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/antoniomagnani-tensorflow-1.10.1-gpu
collection name antoniomagnani/tensorflow
branch master
tag 1.10.1-gpu
commit e760bee866eff8f8a486d509373d672249c639f9
version (container hash) 3fd69040bafe38e39a7bc3f363252b64
build date 2019-02-25T20:22:55.915Z
size (MB) 3205
size (bytes) 1547288607
SIF Download URL (please use pull with shub://)
Datalad URL View on Datalad
Singularity Recipe Singularity Recipe on Datalad
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