gnperdue/singularity_imgs:py3_trch041
$ singularity pull shub://gnperdue/singularity_imgs:py3_trch041
Singularity Recipe
Bootstrap: docker
From: nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
%help
To start your container simply try
singularity exec THIS_CONTAINER.simg bash
To use GPUs, try
singularity exec --nv THIS_CONTAINER.simg bash
Container based on recipe by drinkingkazu
%labels
Maintainer gnperdue
Version ubuntu16.04-py3-trch041
#------------
# Global installation
#------------
%environment
export XDG_RUNTIME_DIR=/tmp/$USER
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:${LD_LIBRARY_PATH}
export CUDA_DEVICE_ORDER=PCI_BUS_ID
%post
# add wilson cluster mount points
mkdir /scratch /data /lfstev
# apt-get
apt-get -y update
apt-get -y install dpkg-dev g++ gcc binutils libqt4-dev python3-dev python3-tk python3-pip
# pip
python3 -m pip install torch torchvision
python3 -m pip install h5py matplotlib pandas scikit-image scikit-learn Pillow tqdm
Collection
- Name: gnperdue/singularity_imgs
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/gnperdue-singularity_imgs-py3_trch041 |
collection name | gnperdue/singularity_imgs |
branch | master |
tag | py3_trch041 |
commit | 1da39fd694ece6fd2483f200193e2100ae1f1fef |
version (container hash) | 81395287f88b77bce9bf2890abca4dc2 |
build date | 2018-11-24T04:49:41.195Z |
size (MB) | 4848 |
size (bytes) | 2916507679 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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