ISU-HPC/machine-learning:cu80dnn7
$ singularity pull shub://ISU-HPC/machine-learning:cu80dnn7
Singularity Recipe
bootstrap:shub
From:ISU-HPC/ml-base:cu80dnn7
%labels
AUTHOR Yasasvy Nanyam ynanyam@iastate.edu
%post
pip3 --no-cache-dir install \
h5py \
ipykernel \
jupyter \
matplotlib \
numpy \
pandas \
Pillow \
scipy \
sklearn \
opencv-python \
mxnet-cu80 \
common \
python-utils \
requests \
future \
hypothesis \
scikit-learn
python36 -m ipykernel.kernelspec
echo "/usr/local/cuda-8.0/lib64/" >/etc/ld.so.conf.d/cuda.conf
echo "/usr/local/cuda/extras/CUPTI/lib64/" >>/etc/ld.so.conf.d/cuda.conf
# Install TensorFlow GPU version
pip3 --no-cache-dir install --upgrade tensorflow-gpu==1.4
# keras
pip3 --no-cache-dir install --upgrade keras
# Lasagne
pip3 --no-cache-dir install git+git://github.com/Lasagne/Lasagne
# dlib
pip3 --no-cache-dir install dlib
# pytorch
pip3 --no-cache-dir install torch torchvision
############################
# for pip2
pip2 --no-cache-dir install --upgrade pip
pip2 --no-cache-dir install \
h5py \
ipykernel \
jupyter \
matplotlib \
numpy \
pandas \
Pillow \
scipy \
sklearn \
opencv-python \
mxnet-cu80 \
common \
requests \
future \
hypothesis \
scikit-learn
# Install TensorFlow GPU version
pip2 --no-cache-dir install --upgrade tensorflow-gpu==1.4
# keras
pip2 --no-cache-dir install --upgrade keras
# Lasagne
pip2 --no-cache-dir install git+git://github.com/Lasagne/Lasagne
# dlib
pip2 --no-cache-dir install dlib
#pytorch
pip2 --no-cache-dir install torch torchvision
Collection
- Name: ISU-HPC/machine-learning
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/ISU-HPC-machine-learning-cu80dnn7 |
collection name | ISU-HPC/machine-learning |
branch | master |
tag | cu80dnn7 |
commit | 399ce915ab6cd09cc1451fc38508f9ab6e2994f2 |
version (container hash) | 9a7039b28d9a52a2dcf6e85c350c12be |
build date | 2020-03-14T03:19:39.957Z |
size (MB) | 8083 |
size (bytes) | 3263725599 |
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.