Is there any documentation on the sequence of fx passes that are run by Inductor?
E.g., in the Writing Custom Backends Guide, dynamo passes a torch.fx.GraphModule to the backend. However, this graph is at a high level and some normalization needs to be done to decompose this IR into core aten ops and an IR more amenable for analysis / optimization.
I’ve found scattered bits around pattern_matcher that does this decomp and fx_passes in the inductor source directory that further lowers the normalized IR, but don’t have a clear picture of the entire flow from high level fx.GraphModule to optimized triton code.
Is there any documentation on the step by step flow that Inductor performs from the input graph from dynamo to optimized kernels / graph and how these map to the torch._inductor source directory?