ucr-singularity/ml-anaconda-3:latest
$ singularity pull shub://ucr-singularity/ml-anaconda-3:latest
Singularity Recipe
Bootstrap: docker
From: nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
%environment
PATH=/opt/conda/bin:$PATH
export PATH
%post
# Update list of packages
apt-get update
# Install dependencies
apt-get install -y --no-install-recommends build-essential cmake git curl vim ca-certificates libjpeg-dev libpng-dev
# Clean up
rm -rf /var/lib/apt/lists/*
# Install miniconda
cd /opt
curl -o /opt/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod +x /opt/miniconda.sh
/opt/miniconda.sh -b -p /opt/conda
rm /opt/miniconda.sh
/opt/conda/bin/conda install numpy pyyaml scipy ipython mkl mkl-include
/opt/conda/bin/conda install -c soumith magma-cuda90
/opt/conda/bin/conda clean -ya
# Install the released version of Pytorch.
/opt/conda/bin/conda install pytorch torchvision cuda90 -c pytorch
echo 'export PATH=/opt/conda/bin:$PATH' >>$SINGULARITY_ENVIRONMENT
Collection
- Name: ucr-singularity/ml-anaconda-3
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/ucr-singularity-ml-anaconda-3-latest |
collection name | ucr-singularity/ml-anaconda-3 |
branch | master |
tag | latest |
commit | 4f9142d3defb77e1a02783bb9ba33110da28e3dc |
version (container hash) | ef37689b027341f2ef67174583f3e246 |
build date | 2019-11-06T19:43:52.894Z |
size (MB) | 5670 |
size (bytes) | 3085008927 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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