gnperdue/singularity_imgs:py3_tf1gnt

$ singularity pull shub://gnperdue/singularity_imgs:py3_tf1gnt

Singularity Recipe

Bootstrap: docker
From: nvidia/cuda:10.0-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-tf-alpha-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 --no-cache-dir --upgrade tf-nightly-gpu tf-agents-nightly tfp-nightly tensorflow-datasets
    python3 -m pip install --no-cache-dir matplotlib seaborn scikit-image
    python3 -m pip install --no-cache-dir 'gym[atari,box2d,classic_control]'
    python3 -m pip install https://github.com/gnperdue/gym-oscillator/zipball/master

Collection


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Metrics

key value
id /containers/gnperdue-singularity_imgs-py3_tf1gnt
collection name gnperdue/singularity_imgs
branch master
tag py3_tf1gnt
commit a589ee0649656b1bcc07ddeeea071828fc8f0a0d
version (container hash) b0bc712897d318d923390c6fb1452c39
build date 2019-08-21T19:05:21.176Z
size (MB) 4353
size (bytes) 1975730207
SIF Download URL (please use pull with shub://)
Datalad URL View on Datalad
Singularity Recipe Singularity Recipe on Datalad
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