Implement new experimental lookup-based matrix multiplication method(TMAC) #26695
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
Signed-off-by: Liqun Fu <liqun.fu@microsoft.com>
Signed-off-by: Liqun Fu <liqun.fu@microsoft.com>
Signed-off-by: Liqun Fu <liqun.fu@microsoft.com>
Signed-off-by: Liqun Fu <liqun.fu@microsoft.com>
Signed-off-by: Liqun Fu <liqun.fu@microsoft.com>
Signed-off-by: Liqun Fu <liqun.fu@microsoft.com>
Signed-off-by: Liqun Fu <liqun.fu@microsoft.com>
…as kernel not implemented for fp32. Also, I need to write the packing logic for the scales as well.
…ssert issue with the data shuffling in prepack
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Outdated suggestions cannot be applied.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.
Description
This PR introduces a new experimental lookup-table(LUT) based matrix multiplication method inspired from T-MAC paper and T-MAC repository to speed up low bit LLM inference.
Unlike the existing quant-dequant methods, the LUT-based method directly supports mixed-precision-GEMM without dequantization. It uses bit-wise table lookup to eliminate multiplications and reduce additions required in matrix multiplication.
This PR:
mlas.use_lut_gemmsession option allowing use of LUT GEMM inside matmulnbits when it is availableHow to test
Perf
Future Work