adityabalu/TorchMPISingularity:latest
$ singularity pull shub://adityabalu/TorchMPISingularity:latest
Singularity Recipe
Bootstrap: docker
From: nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04
%environment
# use bash as default shell
SHELL=/bin/bash
# add CUDA paths
CPATH="/usr/local/cuda/include:$CPATH"
PATH="/usr/local/cuda/bin:$PATH"
LD_LIBRARY_PATH="/usr/local/cuda/lib64:$LD_LIBRARY_PATH"
CUDA_HOME="/usr/local/cuda"
# add Anaconda path
PATH="/usr/local/miniconda3/bin:$PATH"
export PATH LD_LIBRARY_PATH CPATH CUDA_HOME
%setup
# runs on host
# the path to the image is $SINGULARITY_ROOTFS
%post
# post-setup script
# load environment variables
. /environment
# use bash as default shell
echo "\n #Using bash as default shell \n" >> /environment
echo 'SHELL=/bin/bash' >> /environment
# make environment file executable
chmod +x /environment
# default mount paths
mkdir /scratch /data
#Add CUDA paths
echo "\n #Cuda paths \n" >> /environment
echo 'export CPATH="/usr/local/cuda/include:$CPATH"' >> /environment
echo 'export PATH="/usr/local/cuda/bin:/usr/openmpi/bin:$PATH"' >> /environment
echo 'export LD_LIBRARY_PATH="/usr/local/cuda/lib64:/usr/openmpi/lib:$LD_LIBRARY_PATH"' >> /environment
echo 'export CUDA_HOME="/usr/local/cuda"' >> /environment
# updating and getting required packages
apt-get update
apt-get install -y software-properties-common
add-apt-repository main
add-apt-repository universe
add-apt-repository restricted
add-apt-repository multiverse
apt-get update
apt-get install -y wget git vim build-essential cmake
apt-get autoremove -y && apt-get clean
# creates a build directory
mkdir build
cd build
# download and install Anaconda
CONDA_INSTALL_PATH="/usr/local/miniconda3"
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod +x Miniconda3-latest-Linux-x86_64.sh
./Miniconda3-latest-Linux-x86_64.sh -b -p $CONDA_INSTALL_PATH
conda install python=3.6 pip cudatoolkit cudnn numba
conda clean --tarballs
wget -O openmpi.tar.gz https://www.open-mpi.org/software/ompi/v4.0/downloads/openmpi-4.0.0.tar.gz
tar xvzf openmpi.tar.gz && rm openmpi.tar.gz
ls
cd openmpi-4.0.0 && ./configure --prefix=/usr/openmpi && make all install
PATH="$PATH:/home/usr/openmpi/bin"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/home/usr/openmpi/lib/"
conda clean --tarballs
pip --no-cache-dir install \
h5py \
ipykernel \
jupyter \
matplotlib \
numpy \
pandas \
Pillow \
scipy \
sklearn \
python-utils \
requests \
future \
hypothesis \
scikit-learn \
scikit-image \
visdom \
tqdm
# mpi4py
conda install -c conda-forge/label/cf201901 opencv
conda clean --tarballs
conda install numpy pyyaml mkl mkl-include setuptools cmake cffi typing
conda clean --tarballs
#git clone --recursive -b v1.0.0 https://github.com/pytorch/pytorch
#CMAKE_PREFIX_PATH=$CONDA_INSTALL_PATH/bin
#cd pytorch && python setup.py install
%runscript
# executes with the singularity run command
# delete this section to use existing docker ENTRYPOINT command
%test
# test that script is a success
Collection
- Name: adityabalu/TorchMPISingularity
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/adityabalu-TorchMPISingularity-latest |
collection name | adityabalu/TorchMPISingularity |
branch | master |
tag | latest |
commit | e16af9a44067041b90a93849258e419db712ae88 |
version (container hash) | c974f0b1bd6824a8f9e1201512f2772b |
build date | 2020-03-21T19:54:17.831Z |
size (MB) | 8396 |
size (bytes) | 3913941023 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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