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Relanding scheduler graph dump #677
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Reland #665.
Previously reverted by #673, because waiting for a pytorch PR to land - pytorch/pytorch#82368. Now the pytorch PR is landed.
creates a fx graph of the buffers generated by lowering
with this patch you can run e.g.
INDUCTOR_SCHEDULER_GRAPH=1 python benchmarks/torchbench.py --training --devices=cuda --inductor --skip-accuracy-check -n 1 --isolate -k hf_Bert
to dump the forward and backward graphs of compute-buffers of hf_Bert. The resulting svg file will be in torchbenchmark/.
The dumped files' names are in the format of {model_name}_{graph_type}.svg.
If #673 is not in pytorch, the dumped graph's name is model.svg.
Also the dumping is quite slow, so for large models like hf_Bert, you would want to change the number of layers to a small number.
The graph dumped looks like this: https://www.svgviewer.dev/s/PpmacAjw