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

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

Singularity Recipe

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

%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-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-larcv
collection name DeepLearnPhysics/larcv3-singularity
branch master
tag centos7-cuda-tf-larcv
commit 8c86bd90e0225b2db3d9e92246ab612e9dcd1433
version (container hash) 1934a05e8313713cbc4cf514e1cd5865
build date 2020-05-08T10:08:57.381Z
size (MB) 6269
size (bytes) 2900660255
SIF Download URL (please use pull with shub://)
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