SIG IO - TensorFlow data formats and file systems group
Objective
TensorFlow has built-in support for accessing a small set of file systems and data formats. This SIG aims to add support for more file systems and file formats.
The group evaluates proposals and designs in this area and maintains code in the
tensorflow/io repository. The repository should contain only subclasses of
tf.data.Dataset and TensorFlow filesystems, as well as supporting code.
Membership
Everybody with an interest in improving TensorFlow interoperability is welcome to join the SIG. To participate, request an invitation to join the mailing list. Archives of the mailing list are publicly accessible.
Resources
- SIG IO mailing list: io@tensorflow.org
- Gitter room: tensorflow/sig-io
- Github repository: github.com/tensorflow/io
- Python package repository: tensorflow-io
- R package repository: tfio
Releases
Information about SIG IO releases and the release team could be found in RELEASE.md.
Contacts
- Project leads:
- Yong Tang @yongtang - yong.tang.github@outlook.com
- Anthony Dmitriev @dmitrievanthony - dmitrievanthony@gmail.com
- TensorFlow technical contact @jsimsa - jsimsa@google.com
- For administrative questions, contact Edd Wilder-James @ewilderj - ewj at google
Code of Conduct
As with all forums and spaces related to TensorFlow, SIG-I/O is subject to the TensorFlow Code of Conduct.