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tensorflow

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tensorflow /tensorflow

An Open Source Machine Learning Framework for Everyone

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PythonPyPI

**``` Documentation


[TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of[tools](https://www.tensorflow.org/resources/tools),[libraries](https://www.tensorflow.org/resources/libraries-extensions), and[community](https://www.tensorflow.org/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](https://www.tensorflow.org/api_docs/python)and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as non-guaranteed backward compatible API for[other languages](https://www.tensorflow.org/api_docs).

Keep up-to-date with release announcements and security updates by subscribing to[[email protected]](https://groups.google.com/a/tensorflow.org/forum/#!forum/announce). See all the [mailing lists](https://www.tensorflow.org/community/forums).

## Install

See the [TensorFlow install guide](https://www.tensorflow.org/install) for the[pip package](https://www.tensorflow.org/install/pip), to[enable GPU support](https://www.tensorflow.org/install/gpu), use a[Docker container](https://www.tensorflow.org/install/docker), and[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) _(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](https://pypi.python.org/pypi/tf-nightly) and[tf-nightly-cpu](https://pypi.python.org/pypi/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 theTensorFlow tutorials.

Contribution guidelines

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 use GitHub issues for tracking requests and bugs, please seeTensorFlow Discussfor 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:

Fuzzing StatusCII Best PracticesContributor Covenant

Continuous build status

Official Builds

Build Type | Status | Artifacts ------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------Linux CPU | Status | PyPILinux GPU | Status | PyPILinux XLA | Status | TBAmacOS | Status | PyPIWindows CPU | Status | PyPIWindows GPU | Status | PyPIAndroid | Status | DownloadRaspberry Pi 0 and 1 | Status | Py3Raspberry Pi 2 and 3 | Status | Py3Libtensorflow MacOS CPU | Status | GCSLibtensorflow Linux CPU | Status | GCSLibtensorflow Linux GPU | Status | GCSLibtensorflow Windows CPU | Status | GCSLibtensorflow Windows GPU | Status | GCS

Community Supported Builds

Build Type | Status | Artifacts ----------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------Linux AMD ROCm GPU Nightly | Build Status | NightlyLinux AMD ROCm GPU Stable Release | Build Status | Release 1.15 / 2.xLinux s390x Nightly | Build Status | NightlyLinux s390x CPU Stable Release | Build Status | ReleaseLinux ppc64le CPU Nightly | Build Status | NightlyLinux ppc64le CPU Stable Release | Build Status | Release 1.15 / 2.xLinux ppc64le GPU Nightly | Build Status | NightlyLinux ppc64le GPU Stable Release | Build Status | Release 1.15 / 2.xLinux CPU with Intel oneAPI Deep Neural Network Library (oneDNN) Nightly | Build Status | NightlyLinux CPU with Intel oneAPI Deep Neural Network Library (oneDNN) Stable Release | Build Status | Release 1.15 / 2.xRed Hat® Enterprise Linux® 7.6 CPU & GPU
Python 2.7, 3.6 | Build Status | 1.13.1 PyPI

Resources

Learn more about theTensorFlow community and how tocontribute.

License

Apache License 2.0

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