What is XLA?

XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes TensorFlow computations. It's used to improve performance on a variety of hardware platforms, including CPUs, GPUs, and custom accelerators. XLA takes TensorFlow graphs as input and transforms them into optimized sequences of machine code for the target architecture, leading to faster execution and reduced memory usage. It achieves this through techniques like just-in-time (JIT) compilation, operator fusion, and memory allocation optimization.