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How Google XLA Decides Which Code to Run
The way it works is that we have the same called numerical definitions and so if you think about your your machine learning model it's implemented using those numerical definitions. We can compile that subset of a lickserv that you have in there to the CPU or the GPU with Google XLA which is the library that actually compiles the graph to theCPU or NVIDIA Kuda. So when you when you're going to run something when you pass this flag somewhere is basically saying well when I see some numerical definition in the future like I passed the status and now we build the same graph regardless if it's host or if it’sGPU we build the Same Graph.