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Mircea Trofin
62fc44ca3c
Different training algorithms may produce models that, besides the main policy output (i.e. inline/don't inline), produce additional outputs that are necessary for the next training stage. To facilitate this, in development mode, we require the training policy infrastructure produce a description of the outputs that are interesting to it, in the form of a JSON file. We special-case the first entry in the JSON file as the inlining decision - we care about its value, so we can guide inlining during training - but treat the rest as opaque data that we just copy over to the training log. Differential Revision: https://reviews.llvm.org/D85674