f90/Wave-U-Net-Pytorch:latest
$ singularity pull shub://f90/Wave-U-Net-Pytorch:latest
Singularity Recipe
BootStrap: docker
From: nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
%post
# Downloads the latest package lists (important).
apt-get update -y
# Runs apt-get while ensuring that there are no user prompts that would
# cause the build process to hang.
# python3-tk is required by matplotlib.
# python3-dev is needed to require some packages.
DEBIAN_FRONTEND=noninteractive apt-get install -y \
python3 \
python3-tk \
python3-pip \
python3-dev \
libsndfile1 \
libsndfile1-dev \
ffmpeg \
git
# Reduce the size of the image by deleting the package lists we downloaded,
# which are useless now.
rm -rf /var/lib/apt/lists/*
# Install Pipenv.
pip3 install pipenv
# Install Python modules.
pip3 install future numpy librosa musdb museval h5py tqdm sortedcontainers soundfile
pip3 install torch==1.4.0 torchvision==0.5.0 tensorboard
%environment
# Pipenv requires a certain terminal encoding.
export LANG=C.UTF-8
export LC_ALL=C.UTF-8
# This configures Pipenv to store the packages in the current working
# directory.
export PIPENV_VENV_IN_PROJECT=1
Collection
- Name: f90/Wave-U-Net-Pytorch
- License: MIT License
View on Datalad
Metrics
key | value |
---|---|
id | /containers/f90-Wave-U-Net-Pytorch-latest |
collection name | f90/Wave-U-Net-Pytorch |
branch | master |
tag | latest |
commit | 56a7dd7e23ac85cce1d9df78f224bb1d522d1bcf |
version (container hash) | 3737aa309796d4164f02334a91a7819a |
build date | 2021-02-23T03:02:46.679Z |
size (MB) | 6696.0 |
size (bytes) | 4088889375 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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