marcc-hpc/tensorflow:1.10.1-gpu

$ singularity pull shub://marcc-hpc/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


View on Datalad

Metrics

key value
id /containers/marcc-hpc-tensorflow-1.10.1-gpu
collection name marcc-hpc/tensorflow
branch 1.10.1-gpu
tag 1.10.1-gpu
commit e760bee866eff8f8a486d509373d672249c639f9
version (container hash) cc8406dbe9689ab5efc2622bf2456807
build date 2018-09-10T04:18:53.013Z
size (MB) 3199
size (bytes) 1544396831
SIF Download URL (please use pull with shub://)
Datalad URL View on Datalad
Singularity Recipe Singularity Recipe on Datalad
We cannot guarantee that all containers will still exist on GitHub.