N-cunningham/FYP:latest

$ singularity pull shub://N-cunningham/FYP:latest

Singularity Recipe

Bootstrap: docker
From: tensorflow/tensorflow:1.9.0-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

  # default mount paths
  mkdir /scratch /data

  # additional packages
  apt-get update
  apt-get install -y python-tk
  apt-get install -y python3-numpy python3-scipy
  apt-get install -y python3-pip python3-dev build-essential
  apt-get install python3-tk


  pip install scikit-learn
  pip install nltk
  pip install matplotlib

%runscript
  RUN python -m nltk.downloader punkt
  # 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/N-cunningham-FYP-latest
collection name N-cunningham/FYP
branch master
tag latest
commit 11a124e3a0e1ebbe800e10e16ba7746fe41da13b
version (container hash) 2c0fb76c72f26942065d3a8e4bb56ac5
build date 2019-03-26T16:54:25.213Z
size (MB) 3041
size (bytes) 1407197215
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.