Open
Conversation
Summary: Add /N divisor syntax to --num-inputs for step-based input sampling Extend --num-inputs to accept a /N format (e.g., /2) that samples every Nth input shape, enabling faster benchmark runs with representative coverage across the full shape space without needing to know the total count upfront. usage: buck2 run mode/opt //pytorch/tritonbench:run -- --op softmax --metrics latency,compile_time --num-inputs **/2** this change helps us to test equally spaced shape without needing to know number of shapes Differential Revision: D98962433
jhou-jpg
temporarily deployed
to
docker-s3-upload
GitHub Actions
Inactive
jhou-jpg
had a problem deploying
to
docker-s3-upload
GitHub Actions
Failure
jhou-jpg
temporarily deployed
to
docker-s3-upload
GitHub Actions
Inactive
xuzhao9
approved these changes
Apr 3, 2026
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
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary:
Add /N divisor syntax to --num-inputs for step-based input sampling
Extend --num-inputs to accept a /N format (e.g., /2) that samples every Nth
input shape, enabling faster benchmark runs with representative coverage
across the full shape space without needing to know the total count upfront.
usage: buck2 run mode/opt //pytorch/tritonbench:run -- --op softmax --metrics latency,compile_time --num-inputs /2
this change helps us to test equally spaced shape without needing to know number of shapes
Differential Revision: D98962433