joaocaldeira/singularity_imgs:py3_tf112

$ singularity pull shub://joaocaldeira/singularity_imgs:py3_tf112

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 caldeira
Version ubuntu16.04-py3-tf112-gpu

#------------
# 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 --upgrade setuptools pip
    python3 -m pip install tensorflow-gpu==1.12.0
    python3 -m pip install h5py

Collection


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Metrics

key value
id /containers/joaocaldeira-singularity_imgs-py3_tf112
collection name joaocaldeira/singularity_imgs
branch master
tag py3_tf112
commit e896f5a0ea25e27b56820cea602896190420b42a
version (container hash) 9342e07443ad4f4483f06ca6918dfbf1
build date 2019-06-18T22:10:58.374Z
size (MB) 4423
size (bytes) 2372816927
SIF Download URL (please use pull with shub://)
Datalad URL View on Datalad
Singularity Recipe Singularity Recipe on Datalad
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