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GeezerVison is showing android.googlesource.com — platform/external/tensorflow - Git at Google

android/platform/external/tensorflow

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  1. da8b09a Force tensorflow to use _FORTIFY_SOURCE=2 since it uses malloc_usable_size by Sharjeel Khan · 1 year, 8 months ago main master
  2. 11e7ede Merge "Bundle tflite proguard rules with static lib" into main am: 7e8b886b06 by Jared Duke · 1 year, 9 months ago
  3. 7e8b886 Merge "Bundle tflite proguard rules with static lib" into main by Jared Duke · 1 year, 9 months ago
  4. 5013397 Add jdduke to tensorflow/OWNERS am: 2d8b517747 by Jared Duke · 1 year, 9 months ago
  5. 2d8b517 Add jdduke to tensorflow/OWNERS by Jared Duke · 1 year, 9 months ago

Python PyPI DOI CII Best Practices OpenSSF Scorecard Fuzzing Status Fuzzing Status Contributor Covenant

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 [email protected]. 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

Other devices (DirectX and MacOS-metal) are supported using Device plugins.

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.

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

  • TensorFlow.org
  • TensorFlow Tutorials
  • TensorFlow Official Models
  • TensorFlow Examples
  • TensorFlow Codelabs
  • TensorFlow Blog
  • Learn ML with TensorFlow
  • TensorFlow Twitter
  • TensorFlow YouTube
  • TensorFlow model optimization roadmap
  • TensorFlow White Papers
  • TensorBoard Visualization Toolkit
  • TensorFlow Code Search

Learn more about the TensorFlow community and how to contribute.

Courses

  • Deep Learning with Tensorflow from Edx
  • DeepLearning.AI TensorFlow Developer Professional Certificate from Coursera
  • TensorFlow: Data and Deployment from Coursera
  • Getting Started with TensorFlow 2 from Coursera
  • TensorFlow: Advanced Techniques from Coursera
  • TensorFlow 2 for Deep Learning Specialization from Coursera
  • Intro to TensorFlow for A.I, M.L, and D.L from Coursera
  • Machine Learning with TensorFlow on GCP from Coursera
  • Intro to TensorFlow for Deep Learning from Udacity
  • Introduction to TensorFlow Lite from Udacity

License

Apache License 2.0

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