[deepseek][blackwell] add manual looping group gemm to enable base working inference on Blackwell #1272
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
facebook-github-bot
added
the
CLA Signed
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Outdated suggestions cannot be applied.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.
This PR enables deepseek inference to run on Blackwell (B200).
Currently, torch._grouped_mm is specific to Hopper...thus trying to run on B200 via TorchBF16GroupGEMM yields:
thus this PR adds a manual looping group gemm to get ds inference working on Blackwell.
*Note that you must use Symmetric Memory for the all2all, dist.all2all_single does not yet work on Blackwell.
Wtih this PR:
Token per second of 1.21 is not great, but we have moved now from 'not working' to a working inference on B200.