Skip to content
OpenCL port of TensorFlow using SYCL, generic instructions for building are here:
Branch: master
Clone or download
Pull request Compare This branch is 758 commits ahead, 20143 commits behind tensorflow:master.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
tensorflow [SYCL] Force instantiation of two LaunchConv2DBackpropOp Apr 18, 2019
third_party [SYCL] Add flag for more debug information Jan 18, 2019
tools [SYCL] Disable skinny contractions again Dec 1, 2018
.gitignore Merge changes from github. May 1, 2018
ACKNOWLEDGMENTS
ADOPTERS.md Internal file cleanup. Oct 18, 2016
AUTHORS Merge changes from github. Dec 7, 2017
BUILD Make LICENSE visible to bazel. Jan 2, 2018
CODEOWNERS Merge changes from github. Apr 24, 2018
CODE_OF_CONDUCT.md Merge changes from github. Dec 29, 2017
CONTRIBUTING.md Merge changes from github. May 25, 2018
ISSUE_TEMPLATE.md Merge changes from github. Feb 7, 2018
LICENSE Merge changes from github. Jan 4, 2018
README.md Rename programmers_guide/ directory to guide/. Jun 25, 2018
RELEASE.md Potential fix for how pip installs headers used for custom ops. Jun 28, 2018
SECURITY.md Add security notices for recently discovered and patched vulnerabilit… May 29, 2018
WORKSPACE Merge changes from github. Apr 24, 2018
arm_compiler.BUILD Merge changes from github. Jul 28, 2017
configure Merge changes from github. Mar 13, 2018
configure.py
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.

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

Installation

See Installing TensorFlow for instructions on how to install our release binaries or 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
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> sess.run(hello)
'Hello, TensorFlow!'
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> sess.run(a + b)
42
>>> sess.close()

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. So 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

Continuous build status

Official Builds

Build Type Status Artifacts
Linux CPU Status pypi
Linux GPU Status pypi
Linux XLA TBA TBA
MacOS Status pypi
Windows CPU Status pypi
Windows GPU Status pypi
Android Status Download demo APK, native libs build history

Community Supported Builds

Build Type Status Artifacts
IBM s390x Build Status TBA
IBM ppc64le CPU Build Status TBA

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.