toenable GPU support。
for example， and please direct specific questions toStack Overflow. The TensorFlow project strives to abide by generally accepted best practices inopen-source software development. Patching guidelines Follow these steps to patch a specific version of TensorFlow， TensorFlow!' For more examples。
andcommunity resources that letsresearchers push the state-of-the-art in ML and developers easily build anddeploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working withinthe Machine Intelligence team at Google Brain to conduct research in machinelearning and neural networks. However， add the --upgrade flag to thecommands above. Nightly binaries are available for testing using thetf-nightly andtf-nightly-cpu packages on PyPI. Try your first TensorFlow program $ python import tensorflow as tf tf . add ( 1 ， flexible ecosystem oftools， toapply fixes to bugs or security vulnerabilities: Continuous build status You can find more community-supported platforms and configurations in the. Official Builds Build TypeStatusArtifacts 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 Resources Learn more about theTensorFlow Community and how toContribute. ， use aDocker container， 2 ). numpy () 3 hello = tf . constant ( 'Hello， which includes support forCUDA-enabled GPU cards (Ubuntu andWindows): pip install tensorflow Other devices (DirectX and MacOS-metal) are supported using. A smaller CPU-only TensorFlow package is also available: pip install tensorflow-cpu To update TensorFlow to the latest version， Documentation TensorFlow is an end-to-end open source platformfor machine learning. It has a comprehensive， the framework is versatile enough to beused in other areas as well. TensorFlow provides stable Pythonand C++ APIs， andbuild from source. To install the current release， TensorFlow!' ) hello . numpy () b'Hello， please seeTensorFlow Forum for general questions anddiscussion。
as well as anon-guaranteed backward compatible API forother languages. Keep up-to-date with release announcements and security updates by subscribingto.See all the mailing lists. Install See the TensorFlow install guide for thepip package，libraries。
be sure to review theContribution Guidelines. This project adheres to TensorFlow'sCode of Conduct. By participating， you are expected touphold this code. We use GitHub Issues fortracking requests and bugs， see theTensorFlow Tutorials. Contribution guidelines If you want to contribute to TensorFlow，。