[logging] Clean up dynamo_timed usages in cudagraph_trees #152136
Closed
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Stack from ghstack (oldest at bottom):
Summary: I'm investigating differences in total torch.compile overhead in our two main internal sources: dynamo_compile and pt2_compile_events. One source of discrepancy is due to cudagraphs overheads. Currently, we have a context manager that optionally attributes a dynamo_timed region to a cudagraph-related column logged to dynamo_compile, but all dynamo_timed regions show up in pt2_compile_events (hence the discrepancy; pt2_compile_events is overcounting). We could filter out these specific events from pt2_compile_events when measuring overall overhead. But I'm going to argue that those timed regions that we DO NOT consider as a compiler-related overhead don't have much value in logging in the first place. So I'm suggesting we just remove those instances.
Here's the production job with the discrepancy:
Test Plan:
torchbench nanogpt:
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov