-
Notifications
You must be signed in to change notification settings - Fork 331
[Refactor] Update GEMM layout and operand traits for improved CUDA compatibility #500
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
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
* Added detailed documentation for the makeGemmABLayout function, explaining parameters and layout selection strategies. * Updated the layout selection logic to use mat_continuous consistently, enhancing clarity and correctness in memory layout calculations. * Adjusted the InferLayout method to reflect changes in the layout function, ensuring accurate matrix dimension handling for transposed cases.
…mpatibility * Adjusted the InferLayout method in gemm.cc to include trans_A in fragment creation, enhancing layout inference for transposed matrices. * Updated OperandTraits in gemm_sm89.h and gemm_sm90.h to change the Copy type from SM75_U16x4_LDSM_N to SM75_U16x4_LDSM_T, optimizing memory access patterns for different warp configurations. * Enhanced static assertions in gemm_sm90.h to clarify requirements for num_warp_m, ensuring compatibility with Hopper architecture.
|
👋 Hi! Thank you for contributing to the TileLang project. Please remember to run We appreciate you taking this step! Our team will review your contribution, and we look forward to your awesome work! 🚀 |
* Simplified the formatting of the fragment creation in the InferLayout method of gemm.cc for better readability. * Adjusted the static assertion message in gemm_sm90.h to enhance clarity regarding the num_warp_m requirement for Hopper architecture.
LeiWang1999
added a commit
to LeiWang1999/tilelang
that referenced
this pull request
Jul 18, 2025
…mpatibility (tile-ai#500) * [Enhancement] Improve GEMM layout function and documentation * Added detailed documentation for the makeGemmABLayout function, explaining parameters and layout selection strategies. * Updated the layout selection logic to use mat_continuous consistently, enhancing clarity and correctness in memory layout calculations. * Adjusted the InferLayout method to reflect changes in the layout function, ensuring accurate matrix dimension handling for transposed cases. * lint fix * [Refactor] Update GEMM layout and operand traits for improved CUDA compatibility * Adjusted the InferLayout method in gemm.cc to include trans_A in fragment creation, enhancing layout inference for transposed matrices. * Updated OperandTraits in gemm_sm89.h and gemm_sm90.h to change the Copy type from SM75_U16x4_LDSM_N to SM75_U16x4_LDSM_T, optimizing memory access patterns for different warp configurations. * Enhanced static assertions in gemm_sm90.h to clarify requirements for num_warp_m, ensuring compatibility with Hopper architecture. * [Refactor] Clean up formatting in GEMM implementation and CUDA templates * Simplified the formatting of the fragment creation in the InferLayout method of gemm.cc for better readability. * Adjusted the static assertion message in gemm_sm90.h to enhance clarity regarding the num_warp_m requirement for Hopper architecture.
LeiWang1999
added a commit
to LeiWang1999/tilelang
that referenced
this pull request
Jul 20, 2025
…mpatibility (tile-ai#500) * [Enhancement] Improve GEMM layout function and documentation * Added detailed documentation for the makeGemmABLayout function, explaining parameters and layout selection strategies. * Updated the layout selection logic to use mat_continuous consistently, enhancing clarity and correctness in memory layout calculations. * Adjusted the InferLayout method to reflect changes in the layout function, ensuring accurate matrix dimension handling for transposed cases. * lint fix * [Refactor] Update GEMM layout and operand traits for improved CUDA compatibility * Adjusted the InferLayout method in gemm.cc to include trans_A in fragment creation, enhancing layout inference for transposed matrices. * Updated OperandTraits in gemm_sm89.h and gemm_sm90.h to change the Copy type from SM75_U16x4_LDSM_N to SM75_U16x4_LDSM_T, optimizing memory access patterns for different warp configurations. * Enhanced static assertions in gemm_sm90.h to clarify requirements for num_warp_m, ensuring compatibility with Hopper architecture. * [Refactor] Clean up formatting in GEMM implementation and CUDA templates * Simplified the formatting of the fragment creation in the InferLayout method of gemm.cc for better readability. * Adjusted the static assertion message in gemm_sm90.h to enhance clarity regarding the num_warp_m requirement for Hopper architecture.
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.
6x4_LDSM_T, optimizing memory access patterns for different warp configurations.