XLA: The TensorFlow compiler framework



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. Initially, most users will not see large benefits from XLA, but are welcome to experiment by using XLA via just-in-time (JIT) compilaton or ahead-of-time (AOT) compilation. Developers targeting new hardware accelerators are especially encouraged to try out XLA.



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