Skip to content
An Open Source Machine Learning Framework for Everyone
Branch: master
Clone or download
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.github/ISSUE_TEMPLATE Fix formatting for docs issue May 6, 2019
tensorflow Update API docs of ClusterResolver and all its implementations. Jul 22, 2019
third_party Merge pull request #30238 from ROCmSoftwarePlatform:google-upstream-p… Jul 18, 2019
tools Merge pull request #25673 from Ryan-Qiyu-Jiang:env_capture_script_mor… Jun 20, 2019
.bazelrc Automated rollback of commit 7a2ce46 Jul 17, 2019
.gitignore Adds CocoaPods support to the Swift test app. May 3, 2019
ACKNOWLEDGMENTS TensorFlow: Improve performance of Alexnet Nov 20, 2015
ADOPTERS.md Internal file cleanup. Oct 18, 2016
AUTHORS Merge changes from github. Dec 7, 2017
BUILD Export 'configure' and 'configure.py' to allow inverse dependent repo… Nov 2, 2018
CODEOWNERS Update eager code owners Jun 14, 2019
CODE_OF_CONDUCT.md Merge pull request #23063 from bfinan:bfinan-patch-1 Oct 19, 2018
CONTRIBUTING.md Merge pull request #30681 from BBQuercus:patch-2 Jul 16, 2019
ISSUES.md Fix minor errors in ISSUES.md Jun 4, 2019
ISSUE_TEMPLATE.md feat: update issue template command to 2.0.0 Apr 5, 2019
LICENSE revert line 1 Jun 13, 2019
README.md Use blog.tensorflow.org domain Jul 3, 2019
RELEASE.md Merge pull request #30544 from tensorflow:mm-fix-release-notes Jul 10, 2019
SECURITY.md fix md link format Jun 13, 2018
WORKSPACE Fix tf_workspace for projects use TensorFlow as an external repository. Jun 24, 2019
arm_compiler.BUILD Put arm_compiler.BUILD into the right spot. Dec 10, 2018
configure Merge changes from github. Mar 13, 2018
configure.cmd build: introduce `configure.cmd` Jun 21, 2019
configure.py Add spaces to make string replace match Jul 15, 2019
models.BUILD Make models.BUILD filegroup include everything but metadata files and… Jan 10, 2017

README.md


Documentation
Documentation

TensorFlow is an open source software library for numerical computation using data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.

TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization for the purposes of conducting 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 backwards compatible API's for C++, Go, Java, JavaScript, and Swift.

Keep up to date with release announcements and security updates by subscribing to announce@tensorflow.org.

Installation

To install the current release for CPU-only:

pip install tensorflow

Use the GPU package for CUDA-enabled GPU cards:

pip install tensorflow-gpu

See Installing TensorFlow for detailed instructions, and how to build from source.

People who are a little more adventurous can also try our nightly binaries:

Nightly pip packages * We are pleased to announce that TensorFlow now offers nightly pip packages under the tf-nightly and tf-nightly-gpu project on PyPi. Simply run pip install tf-nightly or pip install tf-nightly-gpu in a clean environment to install the nightly TensorFlow build. We support CPU and GPU packages on Linux, Mac, and Windows.

Try your first TensorFlow program

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

Learn more examples about how to do specific tasks in TensorFlow at the tutorials page of tensorflow.org.

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:

CII Best Practices Contributor Covenant

Continuous build status

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 Status Py2 Py3
Raspberry Pi 2 and 3 Status Status Py2 Py3

Community Supported Builds

Build Type Status Artifacts
Linux s390x Nightly Build Status Nightly
Linux s390x CPU Stable Release Build Status Release
Linux ppc64le CPU Nightly Build Status Nightly
Linux ppc64le CPU Stable Release Build Status Release
Linux ppc64le GPU Nightly Build Status Nightly
Linux ppc64le GPU Stable Release Build Status Release
Linux CPU with Intel® MKL-DNN Nightly Build Status Nightly
Linux CPU with Intel® MKL-DNN
Supports Python 2.7, 3.4, 3.5, and 3.6
Build Status 1.13.1 pypi
Red Hat® Enterprise Linux® 7.6 CPU & GPU
Python 2.7, 3.6
Build Status 1.13.1 pypi

For more information

Learn more about the TensorFlow community at the community page of tensorflow.org for a few ways to participate.

License

Apache License 2.0

You can’t perform that action at this time.