You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
According to the CUBLAS document, this flag is being deprecated. We also made some tests previously around this flag, and found that it is effective even for float32, meaning that CUBLAS kernel internally casts float32 to float16, does the computation, and casts the results back. As a result, this flag may introduce accuracy issue.
@comaniac Disabling the flag makes the tests pass. What should we do here? Accept lower accuracy for performance?
I personally prefer to keep the accuracy, because it seems not right to tolerate 1e-2 for a single batch_matmul op. It means the end-to-end accuracy of all models with cublas.batch_matmul may be larger than 1e-2. cc @Hzfengsy@Laurawly as they added this flag at the time it hasn't been deprecated.
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
@tkonolige@tqchen