XUtils

tensorflow

The most popular Deep Learning framework created by Google.


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.

Patching guidelines

Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities:

  • Clone the TensorFlow repo and switch to the corresponding branch for your desired TensorFlow version, for example, branch r2.8 for version 2.8.
  • Apply (that is, cherry-pick) the desired changes and resolve any code conflicts.
  • Run TensorFlow tests and ensure they pass.
  • Build the TensorFlow pip package from source.

Official Builds

Build Type Status Artifacts
Linux CPU Status PyPI
Linux GPU Status PyPI
Linux XLA Status TBA
macOS Status PyPI
Windows CPU Status PyPI
Windows GPU Status PyPI
Android Status Download
Raspberry Pi 0 and 1 Status Py3
Raspberry Pi 2 and 3 Status Py3
Libtensorflow MacOS CPU Status Temporarily Unavailable Nightly Binary Official GCS
Libtensorflow Linux CPU Status Temporarily Unavailable Nightly Binary Official GCS
Libtensorflow Linux GPU Status Temporarily Unavailable Nightly Binary Official GCS
Libtensorflow Windows CPU Status Temporarily Unavailable Nightly Binary Official GCS
Libtensorflow Windows GPU Status Temporarily Unavailable Nightly Binary Official GCS

Resources

Learn more about the TensorFlow community and how to contribute.

Courses


Articles

  • coming soon...