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TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem oftools,libraries, andcommunity 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 within the Machine Intelligence team at Google Brain to conduct research in machine learning and neural networks. However, the framework is versatile enough to be used in other areas as well.
TensorFlow provides stablePython andC++ APIs, as well as a non-guaranteed backward compatible API forother languages.
Keep up-to-date with release announcements and security updates by subscribing toannounce@tensorflow.org. See all themailing lists.
See theTensorFlow install guide for thepip package, toenable GPU support, use aDocker container, andbuild from source.
To install the current release, which includes support forCUDA-enabled GPU cards(Ubuntu and Windows):
$ pip install tensorflow
Other devices (DirectX and MacOS-metal) are supported usingDevice 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 thetf-nightly andtf-nightly-cpu packages on PyPI.
$ python>>>import tensorflowas tf>>> tf.add(1,2).numpy()3>>> hello= tf.constant('Hello, TensorFlow!')>>> hello.numpy()b'Hello, TensorFlow!'
For more examples, see theTensorFlow Tutorials.
If you want to contribute to TensorFlow, be sure to review theContribution Guidelines. This project adheres to TensorFlow'sCode of Conduct. By participating, you are expected to uphold this code.
We useGitHub Issues for tracking requests and bugs, please seeTensorFlow Forum for general questions and discussion, and please direct specific questions toStack Overflow.
The TensorFlow project strives to abide by generally accepted best practices in open-source software development.
Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities:
r2.8 for version 2.8.You can find more community-supported platforms and configurations in theTensorFlow SIG Build Community Builds Table.
| Build Type | Status | Artifacts |
|---|---|---|
| Linux CPU |  | PyPI |
| Linux GPU |  | PyPI |
| Linux XLA |  | TBA |
| macOS |  | PyPI |
| Windows CPU |  | PyPI |
| Windows GPU |  | PyPI |
| Android |  | Download |
| Raspberry Pi 0 and 1 |  | Py3 |
| Raspberry Pi 2 and 3 |  | Py3 |
| Libtensorflow MacOS CPU | Status Temporarily Unavailable | Nightly BinaryOfficial GCS |
| Libtensorflow Linux CPU | Status Temporarily Unavailable | Nightly BinaryOfficial GCS |
| Libtensorflow Linux GPU | Status Temporarily Unavailable | Nightly BinaryOfficial GCS |
| Libtensorflow Windows CPU | Status Temporarily Unavailable | Nightly BinaryOfficial GCS |
| Libtensorflow Windows GPU | Status Temporarily Unavailable | Nightly BinaryOfficial GCS |
Learn more about theTensorFlow Community and how toContribute.