seeder
util torch
util torch
To install this package, run one of the following:
# create conda environment
$ mamba env create -f env.yml
# update conda environment
$ mamba env update -n seeder --file env.yml
pip install -e .
conda environment
$ conda activate seeder
# make sure the seeder package is installed in development mode
$ pip install -e .
# make changes under nbs/ directory
# ...
# compile to have changes apply to the seeder package
$ nbdev_prepare
# publish to pypi
$ nbdev_pypi
# publish to conda
$ nbdev_conda --build_args '-c conda-forge'
$ nbdev_conda --mambabuild --build_args '-c conda-forge -c dsm-72'
Install latest from the GitHub repository:
$ pip install git+https://github.com/dsm-72/seeder.git
or from conda
$ conda install -c dsm-72 seeder
or from pypi
$ pip install seeder
Documentation can be found hosted on GitHub repository pages. Additionally you can find package manager specific guidelines on conda and pypi respectively.
TorchDatatorch.monitor.Eventtorchvisiontorchvision.Datasets.VisionDatasettorchvision.utils.flow_to_imageSummary
util torch
Last Updated
Apr 7, 2024 at 13:24
License
Apache Software
Total Downloads
44
Supported Platforms
GitHub Repository
https://github.com/dsm-72/seederDocumentation
https://dsm-72.github.io/seeder