reorder_batched_ad_indices_kernel on IFR/CFR shape results #4393
Conversation
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
Summary: To reproduce the results, you could copy the shape from P1843971961 (for IFR) or P1845133642 (for CFR) to create the shape.csv. (6+ hours for the baseline to process 62k+ cases. As such, I select 1000 cases randomly to test the results). v=1: baseline (or v=0, but I recommend to use v=1 to eliminate additional overhead) v=2: optimized kernel Test results https://docs.google.com/spreadsheets/d/19bDXYYQngP5IQ567OiWYHikq-Ga521ElfrkGJqKIw1o/edit?usp=sharing Differential Revision: D77066925
✅ Deploy Preview for pytorch-fbgemm-docs ready!
To edit notification comments on pull requests, go to your Netlify project configuration. |
|
This pull request was exported from Phabricator. Differential Revision: D77066925 |
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Outdated suggestions cannot be applied.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.
Summary:
To reproduce the results, you could copy the shape from P1843971961 (for IFR) or P1845133642 (for CFR) to create the shape.csv. (6+ hours for the baseline to process 62k+ cases. As such, I select 1000 cases randomly to test the results).
v=1: baseline (or v=0, but I recommend to use v=1 to eliminate additional overhead)
v=2: optimized kernel
Test results
https://docs.google.com/spreadsheets/d/19bDXYYQngP5IQ567OiWYHikq-Ga521ElfrkGJqKIw1o/edit?usp=sharing
Differential Revision: D77066925