Rollback of PR #52316
PR #52316: Add support of filesystem_set_configuration to tensorflow core

Imported from GitHub PR https://github.com/tensorflow/tensorflow/pull/52316

This is a follow up to PR in https://github.com/tensorflow/io/pull/1443 to add set_configuration support to tensorflow core repo.

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
Copybara import of the project:

--
a11f08106c6aecb8969a033712cd7e8b30312994 by Yong Tang <yong.tang.github@outlook.com>:

Add support of filesystem_set_configuration to tensorflow core

This is a follow up to PR in https://github.com/tensorflow/io/pull/1443
to add set_configuration support to tensorflow core repo.

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

--
eb8559d94500e2f5184b83ac0dceef915a2fb00d by Yong Tang <yong.tang.github@outlook.com>:

Expose tf.experimental.filesystem_set_configuration API

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

--
16ad176163bdd9290a0761d1264c1f5630e26b6c by Yong Tang <yong.tang.github@outlook.com>:

Add placeholder SetOption for gcs file system

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
PiperOrigin-RevId: 406210322
Change-Id: Ia1fd891a522c6f6a81bfab5c86c00e9940b1084a
11 files changed
tree: ca9ab59d20fc254b5cc4e66efb8f613342cde4da
  1. .github/
  2. tensorflow/
  3. third_party/
  4. tools/
  5. .bazelrc
  6. .bazelversion
  7. .gitignore
  8. .zenodo.json
  9. ACKNOWLEDGMENTS
  10. arm_compiler.BUILD
  11. AUTHORS
  12. BUILD
  13. CITATION.cff
  14. CODE_OF_CONDUCT.md
  15. CODEOWNERS
  16. configure
  17. configure.cmd
  18. configure.py
  19. CONTRIBUTING.md
  20. ISSUE_TEMPLATE.md
  21. ISSUES.md
  22. LICENSE
  23. models.BUILD
  24. README.md
  25. RELEASE.md
  26. SECURITY.md
  27. WORKSPACE
README.md

Python PyPI DOI

Documentation
Documentation

TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization to conduct machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.

TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backward compatible API for other languages.

Keep up-to-date with release announcements and security updates by subscribing to announce@tensorflow.org. See all the mailing lists.

Install

See the TensorFlow install guide for the pip package, to enable GPU support, use a Docker container, and build from source.

To install the current release, which includes support for CUDA-enabled GPU cards (Ubuntu and Windows):

$ pip install tensorflow

A smaller CPU-only package is also available:

$ pip install tensorflow-cpu

To update TensorFlow to the latest version, add --upgrade flag to the above commands.

Nightly binaries are available for testing using the tf-nightly and tf-nightly-cpu packages on PyPi.

Try your first TensorFlow program

$ python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'

For more examples, see the TensorFlow tutorials.

Contribution guidelines

If you want to contribute to TensorFlow, be sure to review the contribution guidelines. This project adheres to TensorFlow's code of conduct. By participating, you are expected to uphold this code.

We use GitHub issues for tracking requests and bugs, please see TensorFlow Discuss for general questions and discussion, and please direct specific questions to Stack Overflow.

The TensorFlow project strives to abide by generally accepted best practices in open-source software development:

Fuzzing Status CII Best Practices Contributor Covenant

Continuous build status

You can find more community-supported platforms and configurations in the TensorFlow SIG Build community builds table.

Official Builds

Build TypeStatusArtifacts
Linux CPUStatusPyPI
Linux GPUStatusPyPI
Linux XLAStatusTBA
macOSStatusPyPI
Windows CPUStatusPyPI
Windows GPUStatusPyPI
AndroidStatusDownload
Raspberry Pi 0 and 1StatusPy3
Raspberry Pi 2 and 3StatusPy3
Libtensorflow MacOS CPUStatus Temporarily UnavailableNightly Binary Official GCS
Libtensorflow Linux CPUStatus Temporarily UnavailableNightly Binary Official GCS
Libtensorflow Linux GPUStatus Temporarily UnavailableNightly Binary Official GCS
Libtensorflow Windows CPUStatus Temporarily UnavailableNightly Binary Official GCS
Libtensorflow Windows GPUStatus Temporarily UnavailableNightly Binary Official GCS

Resources

Learn more about the TensorFlow community and how to contribute.

License

Apache License 2.0