DeepLearnPhysics/larcv3-singularity:centos7-cuda-tf-mpich-larcv

$ singularity pull shub://DeepLearnPhysics/larcv3-singularity:centos7-cuda-tf-mpich-larcv

Singularity Recipe

Bootstrap: shub
From: DeepLearnPhysics/larcv3-singularity:centos7-cuda-tf-mpich

%help
Centos7 with cuda9.0 cudnn7
ML/DL packages  : torchnightly sc-learn
Sci.  packages  : numpy pandas sc-image matplotlib opencv-python
Basic python    : ipython jupyter yaml pygments six zmq wheel h5py tqdm 
Development kit : g++/gcc cython nvcc libqt4-dev python-dev
Utility kit     : git wget emacs vim openssh-client swig larrcv

To start your container simply try
singularity exec THIS_CONTAINER.simg bash

To use GPUs, try
singularity exec --nv THIS_CONTAINER.simg bash

%labels
Maintainer coreyjadams
Version centos7-cuda-tf-mpich-larcv

#------------
# Global installation
#------------
%environment

%post
    
    # Using the app area to store software:
    mkdir /app
    cd /app

    scl enable devtoolset-4 bash
    scl enable rh-python36 bash

    pip3 install ninja

    #Install the latest larcv3:
    git clone https://github.com/DeepLearnPhysics/larcv3.git
    cd larcv3/
    python setup.py install --cmake-executable cmake3
    cd -

Collection


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Metrics

key value
id /containers/DeepLearnPhysics-larcv3-singularity-centos7-cuda-tf-mpich-larcv
collection name DeepLearnPhysics/larcv3-singularity
branch master
tag centos7-cuda-tf-mpich-larcv
commit 440d078e1c843dfdf9aad32a4d4fa97f7a057054
version (container hash) 894bc1330b231e28405f0db605fc2d67
build date 2020-05-07T01:17:54.050Z
size (MB) 7409
size (bytes) 3585843231
SIF Download URL (please use pull with shub://)
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Singularity Recipe Singularity Recipe on Datalad
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