📦 tensorflow/ tensorflow

Install

See the TensorFlow install guide for the pip package, to enable GPU support, use a Docker container, and build from source.

To install the current release, which includes support for CUDA-enabled GPU cards (Ubuntu and Windows):

 pip install tensorflow

Other devices (DirectX and MacOS-metal) are supported using Device Plugins.

A smaller CPU-only TensorFlow package is also available:

 pip install tensorflow-cpu

To update TensorFlow to the latest version, add the --upgrade flag to the commands above.

Nightly binaries are available for testing using the tf-nightly and 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 the TensorFlow Tutorials.