DeepLearnPhysics/larcv2-singularity:ub16.04-pytorch0.4.1-root6.14.04
$ singularity pull shub://DeepLearnPhysics/larcv2-singularity:ub16.04-pytorch0.4.1-root6.14.04
Singularity Recipe
Bootstrap: docker
From: deeplearnphysics/ml-larcv2:pytorch-0.4.1
%help
Ubuntu16.04 with cuda9.0 cudnn7
ML/DL packages : pytorch (0.4.1) sc-learn
Sci. packages : numpy pandas sc-image matplotlib opencv-python root root_numpy
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
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 drinkingkazu
Version ub16.04-pytorch0.4.1-root6.14.04
#------------
# Global installation
#------------
%environment
export XDG_RUNTIME_DIR=/tmp/$USER
export CUDA_DEVICE_ORDER=PCI_BUS_ID
Collection
- Name: DeepLearnPhysics/larcv2-singularity
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/DeepLearnPhysics-larcv2-singularity-ub16.04-pytorch0.4.1-root6.14.04 |
collection name | DeepLearnPhysics/larcv2-singularity |
branch | master |
tag | ub16.04-pytorch0.4.1-root6.14.04 |
commit | be669c05e76561b11127f7a5bb690329353b8bab |
version (container hash) | 5dcff977ce83fdd7a35d7773d31a83e6 |
build date | 2020-06-08T21:06:38.482Z |
size (MB) | 5698 |
size (bytes) | 2721341471 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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