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
- Name: marcc-hpc/tensorflow
- License: MIT License
View on Datalad
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://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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