XLA - TensorFlow, compiled- Google Developers Blog

What this post added

This post introduces XLA (Accelerated Linear Algebra) as a compiler for TensorFlow. XLA aims to optimize TensorFlow computations by compiling TensorFlow graphs into highly optimized kernels for various hardware accelerators (CPUs, GPUs, TPUs). It achieves this by performing optimizations like operator fusion, constant folding, and memory layout optimization. The post highlights that XLA can significantly improve performance for certain models and provides instructions on how to enable it in TensorFlow.