[WIP][ROCm] Add AITER hipblaslt preshuffled gemm kernel#29981
Draft
kliuae wants to merge 3 commits intovllm-project:mainfrom
Draft
[WIP][ROCm] Add AITER hipblaslt preshuffled gemm kernel#29981kliuae wants to merge 3 commits intovllm-project:mainfrom
kliuae wants to merge 3 commits intovllm-project:mainfrom
Conversation
Signed-off-by: kliuae <kuanfu.liu@embeddedllm.com>
Signed-off-by: kliuae <kuanfu.liu@embeddedllm.com>
Signed-off-by: kliuae <kuanfu.liu@embeddedllm.com>
|
This pull request has merge conflicts that must be resolved before it can be |
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Purpose
This PR adds weight-shuffled gemm kernel from aiter for ROCm.
The kernel supports weight shuffling for both quantized and unquantized gemm, and in this PR unquantized linear and PTPC GEMMs are targeted.
Note: In #28837 the post-processing of FP8 weights and the linear weights will be refactored, and this PR will adapt to the refactoring after it gets merged.
Test Plan
lm_eval accuracy test and benchmarking of PTPC-FP8 models.
Test Result
Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.