alex-chunhui-yang/container:tf_einops
$ singularity pull shub://alex-chunhui-yang/container:tf_einops
Singularity Recipe
Bootstrap: docker
From: tensorflow/tensorflow:2.3.0-custom-op-gpu-ubuntu16
%environment
# use bash as default shell
SHELL=/bin/bash
export SHELL
export HDF5_USE_FILE_LOCKING='FALSE'
%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 'SHELL=/bin/bash' >> /environment
# make environment file executable
chmod +x /environment
# default mount paths
mkdir /scratch
# fix this issue: https://github.com/singularityware/singularity/issues/1182#issuecomment-381796545
touch /usr/bin/nvidia-smi
apt-get update && apt-get -y install locales
locale-gen en_US.UTF-8
apt-get install -y git wget
apt-get clean
# scikit, scipy
apt-get install -y python3-scipy python3-sklearn python3-sklearn-lib
pip install --upgrade pip
pip install Pillow
pip install matplotlib
pip install simpleitk
pip install comet_ml
pip install pandas
pip install tqdm
pip install h5py
pip install spektral
pip install -e git+https://github.com/marcoancona/DeepExplain.git#egg=deepexplain
pip install tf-explain
pip install tensorflow-addons
pip install imgaug
pip install einops
%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: alex-chunhui-yang/container
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/alex-chunhui-yang-container-tf_einops |
collection name | alex-chunhui-yang/container |
branch | master |
tag | tf_einops |
commit | 968bcbc2986d57352ddd6c2fa6b808acb2c09100 |
version (container hash) | da07ad299800ff3bb98d9619335595a94121b632f9b7302b0c7efaa322e85f91 |
build date | 2021-04-04T23:08:49.085Z |
size (MB) | 4370.3984375 |
size (bytes) | 4582694912 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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