XLA is a compiler that optimizes TensorFlow computations.

XLA (Accelerated Linear Algebra) 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. The XLA framework is experimental and in active development. For details, read the XLA guide.