1. 02 Nov, 2025 1 commit
    • Lei Wang's avatar
      [Language] Expose `T.warpgroup_fence_operand` for nvcc code motion (#986) · aef0a6bb
      Lei Wang authored
      
      
      * remove debug print
      
      * pipeline fix
      
      * use the correct buffer access scope
      
      * rs support
      
      * warp warpgroup_fence_operand
      
      * fix
      
      * fp8 dtype ptx enhance
      
      * mma fix
      
      * TCGEN05 Interface
      
      * tcgen05 support
      
      * rebase
      
      * update
      
      * Enhance TCGEN05 support by adding new intrinsic operations and descriptors. Introduced `ptx_tcgen05_mma_ts` for tensor-memory to shared-memory instructions and `tcgen05_mma_arrive` for signaling barrier completion. Updated existing descriptors and code generation logic to accommodate these changes, ensuring compatibility with new instruction sets. Refactored related allocation functions and improved handling of shared memory descriptors.
      
      * lint fix
      
      * Refactor buffer reference handling in CUDA code generation and update test execution in tilelang. Ensure default annotations for unrolling are set correctly in TIR IR module.
      
      * wgmma fix
      
      ---------
      Co-authored-by: default avatarZhiwen Mo <zm125@ic.ac.uk>
      aef0a6bb
  2. 31 Oct, 2025 1 commit
    • Lei Wang's avatar
      [FFI] Rebase tvm to v0.22.0 to utilize tvm-ffi (#1108) · 10911e28
      Lei Wang authored
      
      
      * 3rdparty tvm bump
      
      * bump tvm into v0.22.0
      
      * lint fix
      
      * rebase tvm
      
      * Update submodule tvm to latest commit 3085bc4
      
      * Refactor: Update configuration retrieval in CopyNode and adjust test registration in tilelang
      
      * test fix
      
      * add requirement
      
      * atomic_fix
      
      * atomic_fix
      
      * phaseout py39
      
      * optimize
      
      * optimize
      
      * lint fix
      
      * do not clean cache
      
      * do not clean cache
      
      * [Minor] Minor update for Python versions and dependencies
      
      * [Lint] fix lint for py39
      
      * [Lint] fix lint for ROCm
      
      * [Build][CI] Sync CI changes from upstream/sdist
      
      * [Lint] fix lint for ROCm
      
      * [Build][CI] Update `repair-wheel-command`
      
      * [Minor] update abi3audit result format
      
      * [Lint] fix lint for ROCm
      
      * [BugFix] fix build
      
      * [Lint] fix lint for ROCm
      
      * [BugFix] set rpath for libtvm and libtvm_runtime
      
      * [Deps] pin apache-tvm-ffi version
      
      * [Build] set Python 3.9 Limited API for Cython target
      
      * [Build] set Python 3.9 Limited API for Cython target
      
      * [Deps] Restore Python 3.8 support
      
      * [Build] use `apache-tvm-ffi`'s `libtvm_ffi`
      
      * [BugFix] use `;` as delimiter for RPATH on macOS
      
      * [BugFix] use `--ignore-missing-dependencies` for `delocate-wheel`
      
      * [Build] support `sccache` if available
      
      * [Build] add CIBW import test
      
      * [Build][CI] enable ccache for CIBW on Linux
      
      * [BugFix] set rpath for libtvm and libtvm_runtime
      
      * Revert "[Build][CI] enable ccache for CIBW on Linux"
      
      This reverts commit cd9ab57bb5ddd2572c60bcbbebde81480a658fd3.
      
      * [CI] fix perfbench bot
      
      * [BugFix] use Python 3.9 to build wheel
      
      * [Minor] update perfbench bot envs
      
      * [BugFix] fix CIBW environment on Linux
      
      * [CI] skip import test on CentOS 7
      
      * [CI] use Python urllib to download file instead of Wget
      
      ---------
      Co-authored-by: default avatarXuehai Pan <XuehaiPan@pku.edu.cn>
      10911e28
  3. 09 Oct, 2025 1 commit
    • Lei Wang's avatar
      [TileOp] Implement WGMMA for T.gemm_v2 (#813) · a13cde28
      Lei Wang authored
      * [Feature] Introduce WGMMA support and enhance GEMM layout handling
      
      - Added support for the WGMMA intrinsic in the TileLang framework, enabling efficient matrix multiplication on newer architectures.
      - Refactored GEMM layout functions to accept a boolean parameter for K dimension handling, improving flexibility in layout generation.
      - Updated layout inference logic to accommodate new WGMMA configurations and ensure compatibility with existing GEMM operations.
      - Enhanced Python bindings for layout functions, allowing for better integration and usability in user-defined operations.
      - Improved documentation for layout functions and GEMM operations to clarify usage and parameters.
      
      These changes enhance the performance and usability of GEMM operations, particularly for advanced architectures, while maintaining backward compatibility with existing implementations.
      
      * [Refactor] Clean up code formatting and enhance layout function readability
      
      - Improved code formatting across multiple files for better readability, including consistent indentation and line breaks.
      - Updated layout function signatures to enhance clarity, particularly in `gemm_layouts.cc`, `layout.cc`, and `layout.h`.
      - Refactored lambda functions in `builtin.cc` and `gemm_py.cc` for improved structure and maintainability.
      - Enhanced comments and documentation in layout-related files to clarify usage and parameters.
      
      These changes contribute to a cleaner codebase and improved maintainability of layout functions in the TileLang framework.
      
      * [Feature] Add descriptor initialization and offset manipulation for WGMMA
      
      - Introduced new TileLang builtins `initialize_descriptor` and `increase_descriptor_offset` to facilitate descriptor management for WGMMA operations.
      - Updated `builtin.cc` and `builtin.h` to define and document the new builtins, enhancing the framework's capabilities for descriptor handling.
      - Modified `codegen_cuda.cc` and `ptx.cc` to integrate the new builtins into the code generation process, ensuring proper assembly generation for WGMMA operations.
      - Enhanced the `GemmWGMMA` class to utilize the new descriptor functionalities, improving the efficiency of matrix multiplication operations.
      - Updated related tests and documentation to reflect the new features and ensure comprehensive coverage.
      
      These changes enhance the TileLang framework's support for advanced matrix operations on newer architectures, improving performance and usability.
      
      * [Refactor] Improve code formatting and readability in various files
      
      - Enhanced code formatting across multiple files for better readability, including consistent indentation and line breaks.
      - Updated function signatures and comments in `builtin.h`, `codegen_cuda.cc`, and `ptx.cc` to improve clarity.
      - Refactored descriptor initialization and offset manipulation functions in `builtin.py` and `wgmma_macro_generator.py` for improved structure.
      - Cleaned up unnecessary whitespace and improved alignment in `common.h` and `allocate.py`.
      
      These changes contribute to a cleaner and more maintainable codebase in the TileLang framework.
      
      * [Update] Update subproject commit and refactor layout function call
      
      - Updated the subproject commit for `cutlass` to indicate a dirty state.
      - Refactored the `UpdateAnalyzer` function in `layout.cc` to call `LayoutNode::getVarMap()` instead of `getVarMap()`, improving clarity and ensuring proper context for variable mapping.
      
      These changes enhance the maintainability and clarity of the layout handling in the TileLang framework.
      
      * support more data types
      
      * gemm_rs support
      
      * lint fix
      
      * wgmma wrapper
      
      * Remove debug logging for wgmma assembly code and refactor swizzle byte size calculations in wgmma macro generator. Enhanced handling of leading and stride byte offsets based on swizzle mode, improving clarity and performance in tensor core intrinsic emissions.
      
      * Refactor GEMM layout functions to replace 'kfactor' with 'k_inner' for improved clarity and consistency. Update includes necessary changes in error messages for Hopper and Sm100 layouts. Additionally, include a new header for CUTE utilities in common.h.
      
      * Comprehensively support WGMMA GEMM SS
      
      * remove debug print
      
      * lint fix
      
      * remove debug print
      
      * reduce bwd test shape
      
      * lint fix
      
      * clear cache for pytest
      
      * lint fix
      
      * Update sparse MLA examples to support SKV adjustment and correctness checks
      
      - Changed SKV parameter from 32768 to 8192 in sparse MLA backward and forward tests.
      - Added check_correctness parameter to test functions for validation of outputs.
      - Updated test cases to reflect new SKV values and correctness checks.
      
      * test fix
      
      * adjust test case
      
      * test fix
      
      * skip some test currently
      a13cde28
  4. 02 Oct, 2025 1 commit
    • Zhiwen Mo's avatar
      [Bugfix] Fix tensor memory copy layout (#933) · 5ccac4fa
      Zhiwen Mo authored
      * Implements tcgen05.ld instruction support for copying from shared.tmem
        to local.fragment on SM100/Blackwell architecture. Adds layout inference
        and lowering logic for tensor memory operations with proper physical
        coordinate range analysis and warpgroup alignment checks.
      
        Changes:
        - Add kTMemLoad and kTMemStore to CopyInst enumeration
        - Implement CheckTMemLoad() and CheckTMemStore() validation functions
        - Add LowerTmemCopy() to generate tcgen05.ld/st/cp PTX intrinsics
        - Add tmem layout inference in InferLayout() using expandTcgen05Layout
        - Support multiple instruction variants (32dp32b/64b/128b/256b)
        - Add physical layout bounds analysis for tmem coordinates
        - Change clear_accum from bool to PrimExpr in GEMM operations
        - Fix std::optional access checks in layout_inference.cc
        - Add tmem_allocate/deallocate PTX intrinsic support
        - Fix cooperative_groups grid.sync() code generation
      
      * fix
      
      * pipeline fix
      
      * bug fix
      
      * bool fix
      5ccac4fa
  5. 28 Sep, 2025 1 commit
    • Zhiwen Mo's avatar
      [SM100] Add sm100 GEMM layouts and tcgen05 support (#887) · f58bcd43
      Zhiwen Mo authored
      * update sm100 related utcmma, tmem, ld/st256 in src
      * update sm100 related utcmma, tmem, ld/st256 in tilelang
      * Remove deprecated GEMM examples and related README documentation for SM100 architecture support
      * Update GEMM implementation to replace UTCMMA with TCGEN5MMA across relevant files
      * Remove gemm_umma.py example and update README to reflect TCGEN5MMA terminology changes
      * Update README.md for gemm_sm100 example by removing outdated API sections and streamlining documentation
      * Update README and source files to reflect TCGEN5.MMA terminology changes
      * Refactor CUDA GEMM header for improved readability
      f58bcd43
  6. 10 Sep, 2025 1 commit
    • Lei Wang's avatar
      [TileOp] Introduce a experimental python defined `T.gemm_v2` (#793) · 91a7bb2b
      Lei Wang authored
      * Refactor GEMM and GEMM-SP operations to enhance clarity and maintainability
      
      - Removed deprecated prime factorization functions from `gemm.cc` and `gemm_sp.cc`.
      - Introduced a new `GemmWarpPolicy` class to manage warp policy attributes and methods, improving encapsulation.
      - Updated reflection methods to include the new policy structure, ensuring proper registration and introspection capabilities.
      - Enhanced `GetArchInt` function in `utils.cc` for better readability and type safety.
      - Added new `gemm_v2` function in `gemm.py` for improved GEMM operation with additional parameters and checks.
      
      * Refactor GEMM and frontend legalize operations for improved clarity and functionality
      
      - Updated `gemm_py.h` to include the correct header for GEMM operations.
      - Renamed `FrontendLegalizer` class to `LetInliner` and updated related methods to reflect this change, enhancing code clarity.
      - Modified the pass function from `FrontendLegalize` to `LetInline` for better alignment with its purpose.
      - Updated test cases to utilize the new `gemm_v2` function and adjusted the testing framework for improved output and clarity.
      - Removed obsolete test file `test_tilelang_transform_frontend_legalize.py` to streamline the test suite.
      - Enhanced the `LowerAndLegalize` function to utilize the new `LetInline` pass, improving the overall transformation process.
      
      * Enhance CUDA code generation and testing for GEMM operations
      
      - Added indentation printing in `codegen_cuda.cc` for improved assembly code formatting.
      - Updated `test_tilelang_tilelibrary_gemm.py` to include additional GEMM test cases and shared memory allocation with specified scope.
      - Introduced new `matmul_sr` and `run_gemm_sr` functions for GEMM operations with shared and fragment memory layouts.
      - Refactored layout inference in `mma_macro_generator.py` to improve clarity and correctness in shared memory handling.
      - Enhanced `gemm/__init__.py` to support new GEMM operation combinations and layout inference logic.
      
      These changes improve the clarity, functionality, and testing coverage of GEMM operations in the TileLang framework.
      
      * Refactor GEMM layout and testing for improved clarity and functionality
      
      - Updated `gemm_layouts.cc` to enhance the layout generation logic for transposed and non-transposed GEMM operations.
      - Renamed and modified functions in `test_tilelang_tilelibrary_gemm.py` to reflect changes in GEMM function signatures and improve test coverage.
      - Introduced new GEMM operation combinations in `gemm/__init__.py` to support additional layouts and configurations.
      - Enhanced layout inference in `mma_layout.py` and `mma_macro_generator.py` for better handling of shared memory layouts.
      
      These changes improve the clarity, functionality, and testing coverage of GEMM operations in the TileLang framework.
      
      * Refactor GEMM layout and Python integration for improved functionality
      
      - Updated `gemm_layouts.cc` to correct the order of layout replication and repetition for transposed and non-transposed GEMM operations.
      - Enhanced `gemm_py.cc` to handle block realization more robustly, ensuring correct assignment of global symbols and block attributes.
      - Refactored `inject_pipeline.cc` to streamline buffer read/write region handling, improving clarity and maintainability.
      - Cleaned up test cases in `test_tilelang_tilelibrary_gemm.py` by removing unnecessary print statements and adjusting function calls for better test execution flow.
      
      These changes enhance the clarity, functionality, and robustness of GEMM operations and their testing in the TileLang framework.
      
      * Refactor GEMM layout and testing for improved clarity and functionality
      
      - Updated `gemm_layouts.cc` to enhance layout generation logic for transposed and non-transposed GEMM operations.
      - Improved block realization handling in `gemm_py.cc` for better assignment of global symbols.
      - Streamlined buffer read/write region handling in `inject_pipeline.cc` for clarity.
      - Enhanced test cases in `test_tilelang_tilelibrary_gemm.py` by adjusting function calls and adding new GEMM operation combinations.
      
      These changes improve the clarity, functionality, and robustness of GEMM operations and their testing in the TileLang framework.
      
      * tfloat32 support.
      
      * lint fix
      
      * lint fix
      
      * Refactor shared memory allocation in GEMM tests
      
      - Removed unnecessary scope specification in shared memory allocation for matrices A and B in `test_tilelang_tilelibrary_gemm.py`.
      - This change simplifies the allocation process and aligns with the updated GEMM function signatures.
      91a7bb2b