PFIO is an IO abstraction library developed by PFN, optimized for deep learning training with batteries included. It supports
Installation
$ git clone https://github.com/pfnet/pfio.git
$ cd pfio
$ pip install .
Documentation
$ cd pfio/docs
$ make html
$ open build/html/index.html
Please refer to the official document for more information about the usage.
Check the official document for latest release procedure.
Run tests locally:
$ pip install tox
$ tox
Bump version numbers in pfio/version.py .
Push and open a pull request to invoke CI. Once CI passed and the pull request merged, tag a release:
$ git tag -s X.Y.Z
$ git push --tags
Build:
$ rm -rf dist
$ pip3 install --user build
$ python3 -m build
Release to PyPI:
$ python3 -m pip install --user --upgrade twine
$ python3 -m twine upload --repository testpypi dist/*
FAQs
PFN IO library
We found that pfio demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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