* [Enhancement] Update global load/store functions for CUDA compatibility (#1652)
Refactor the `ld_global_256` and `st_global_256` functions to support both CUDA versions above 12.9 and earlier versions. This change ensures that 256-bit loads and stores are handled correctly across different CUDA versions, improving performance and compatibility. The implementation now uses two 128-bit loads/stores for older versions, enhancing the robustness of the codebase.
* Update comments in global load/store functions for CUDA compatibility
Clarified comments in `ld_global_256` and `st_global_256` functions to indicate that the fallback for CUDA versions below 12.9 may have performance regressions. This change enhances code readability and provides better context for developers working with different CUDA versions.
* Update submodule and enhance LetStmt handling in inject_pipeline.cc
- Updated the TVM submodule to the latest commit.
- Improved the handling of LetStmt in the inject_pipeline.cc file to account for transitive dependencies on loop variables, ensuring correct variable substitution in rewritten blocks.
- Adjusted test_tilelang_issue_1263.py to remove unnecessary jit decorator and updated the kernel compilation process with specific pass configurations.
* lint fix
* revert tvm
* remove unused test
* test fix
* Remove JIT decorator from elementwise_add function in examples
* fix kernel compilation without autotune
* Refactor main function to accept parameters and update tests for autotune option
* Refactor autotune test function for morden style
* [Feature] Add 1D TMA support
- Check the contiguous conditions of 1D TMA copy
- Add new interface and params order of `tma_load` and `tma_store` call
- Add 1D `tma_store` interface in sm90 template
- Add elementwise kernel for 1D TMA example
* [Lint]
* [BugFix] Add conditions for 1D TMA copy on non-swizzle shared tensors
* [Lint]
* [BugFix] 1D TMA load
* [README] Update GDN README for clarity and add acknowledgements (#758)
- Improved formatting and clarity of the GDN kernel implementation description.
- Updated requirement section to list dependencies in a clearer format.
- Added an acknowledgements section to credit the developers and the Xiaomi LLM-Core Team for their contributions.
* cutlass v4.2.0 supporting cuda 13 (#760)
* [Lint]
* [Lint]
* [MXFP4] Add test for bf16&mxfp4 gemm
* [BugFix]
* [Lint]
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Co-authored-by: Yu Cheng <54519279+chengyupku@users.noreply.github.com>
Co-authored-by: Johnny <johnnync13@gmail.com>
Lei Wang