Enable native TPU profiling with XProf with libkineto integration.#40277
Open
copybara-service[bot] wants to merge 1 commit intomainfrom
Open
Enable native TPU profiling with XProf with libkineto integration.#40277copybara-service[bot] wants to merge 1 commit intomainfrom
copybara-service[bot] wants to merge 1 commit intomainfrom
Conversation
c6d8e54 to
a888acd
Compare
This implementation allows users to move away from the intermediate internal TPU profiling layer (`torch_tpu._internal.profiler`) towards a native profiling experience on PyTorch using `torch.profiler.` Also it allows user to capture pytorch side events and those added by record_function. PiperOrigin-RevId: 887198591
a888acd to
c86362b
Compare
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Enable native TPU profiling with XProf with libkineto integration.
This implementation allows users to move away from the intermediate internal TPU profiling layer (
torch_tpu._internal.profiler) towards a native profiling experience on PyTorch usingtorch.profiler.Also it allows user to capture pytorch side events and those added by record_function.