Collected in this section is information about experimental features included in Tensorflow. These features are either not complete or not included as part of core Tensorflow.


XLA is a domain-specific compiler for linear algebra that optimizes TensorFlow computations. The results are improvements in speed, memory usage, and portability on server and mobile platforms.

Learn more about XLA