satra/om-images:keras-gpu
$ singularity pull shub://satra/om-images:keras-gpu
Singularity Recipe
# To modify this file for your own system, use nvidia-smi
# to check your driver version and adjust the variable
# NV_DRIVER_VERSION below.
# Check sections <---- EDIT:
BootStrap: docker
From: tensorflow/tensorflow:1.1.0-rc1-gpu-py3
%runscript
# When executed, the container will run Python with the TensorFlow module
exec /usr/bin/python "$@"
%post
# Set up some required environment defaults
export LC_ALL=C
export PATH=/bin:/sbin:/usr/bin:/usr/sbin:$PATH
# add universe repo and install some packages
sed -i '/xenial.*universe/s/^#//g' /etc/apt/sources.list
locale-gen en_US.UTF-8
apt-get -y update && apt-get -y install wget
pip install keras
pip install nibabel
apt-get clean
NV_DRIVER_VERSION=375.20 # <---- EDIT: CHANGE THIS FOR YOUR SYSTEM
NV_DRIVER_FILE=NVIDIA-Linux-x86_64-${NV_DRIVER_VERSION}.run
working_dir=$(pwd)
# download and run NIH NVIDIA driver installer
wget http://us.download.nvidia.com/XFree86/Linux-x86_64/${NV_DRIVER_VERSION}/NVIDIA-Linux-x86_64-${NV_DRIVER_VERSION}.run
echo "Unpacking NVIDIA driver into container..."
cd /usr/local/
sh ${working_dir}/${NV_DRIVER_FILE} -x
rm ${working_dir}/${NV_DRIVER_FILE}
mv NVIDIA-Linux-x86_64-${NV_DRIVER_VERSION} NVIDIA-Linux-x86_64
cd NVIDIA-Linux-x86_64/
for n in *.$NV_DRIVER_VERSION; do
ln -v -s $n ${n%.375.20} # <---- EDIT: CHANGE THIS IF DRIVER VERSION
done
ln -v -s libnvidia-ml.so.$NV_DRIVER_VERSION libnvidia-ml.so.1
ln -v -s libcuda.so.$NV_DRIVER_VERSION libcuda.so.1
cd $working_dir
echo "Adding NVIDIA PATHs to /environment..."
NV_DRIVER_PATH=/usr/local/NVIDIA-Linux-x86_64
echo "
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$NV_DRIVER_PATH:\$LD_LIBRARY_PATH
PATH=$NV_DRIVER_PATH:\$PATH
export PATH LD_LIBRARY_PATH
" >> /environment
%test
# Ensure that TensorFlow can be imported
/usr/bin/python -c "import tensorflow as tf"
# Ensure that keras can be imported
/usr/bin/python -c "from keras.models import Sequential"
# Ensure that nibabel can be imported
/usr/bin/python -c "import nibabel as nb"
Collection
- Name: satra/om-images
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/satra-om-images-keras-gpu |
collection name | satra/om-images |
branch | keras-gpu |
tag | keras-gpu |
commit | e4871c3694fc5ad76efb3a08f8aed1201661317f |
version (container hash) | e195e797f84ec0159d26b23257c6b1da |
build date | 2019-07-31T07:07:05.691Z |
size (MB) | 3446 |
size (bytes) | 1562221744 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
Feedback
Was this page helpful?
Glad to hear it! Please tell us how we can improve.
Sorry to hear that. Please tell us how we can improve.