1. 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
  2. 04 Sep, 2025 1 commit
    • Lei Wang's avatar
      [Refactor] Support python reflection for tile operators (#783) · 3cfefc8e
      Lei Wang authored
      * Implement Fill operator and related reflection methods in TileLang
      
      - Added Fill operator implementation in `fill.cc` and `fill.h` for element-wise filling of buffers.
      - Introduced reflection methods for Fill, AtomicAdd, Copy, Conv2DIm2Col, FinalizeReducer, Gemm, and Parallel operators to enhance introspection capabilities.
      - Updated relevant files to register reflection methods and ensure proper initialization in static blocks.
      - Removed outdated comments and unnecessary code in various operator files to improve clarity and maintainability.
      - Added new Python bindings for the Fill operator in `tilelang/ir/fill.py` and updated the module imports accordingly.
      
      * Refactor operator reflection methods and improve code clarity
      
      - Updated reflection methods for AtomicAdd, Copy, FinalizeReducer, Gemm, and Parallel operators to enhance readability by using `empty()` instead of size checks.
      - Consolidated static initialization blocks for various operators to a single line for improved consistency.
      - Cleaned up whitespace and formatting in multiple files to adhere to coding standards and improve maintainability.
      - Added new Python bindings for operators in the `tilelang/ir` module, ensuring proper registration and organization of imports.
      
      * Refactor GEMM and AtomicAdd operations for improved clarity
      
      - Updated the `GetArchInt` function in `atomic_add.cc` to use `std::string` and `std::stoi` for better readability and type safety.
      - Removed unnecessary variables and comments in `gemm_sp.cc` and `gemm.cc` to streamline the `ComputeWarpPartition` method.
      - Cleaned up the `layout_reducer.cc` file by removing unused variable declarations, enhancing code clarity.
      - Added import for the `ir` module in `tilelang/__init__.py` to ensure proper organization of module imports.
      
      * Remove deprecated operator files from the tilelang IR module
      
      - Deleted files for Fill, AtomicAdd, Copy, Gemm, GemmSP, FinalizeReducer, Parallel, Reduce, and Region operators to streamline the codebase.
      - This cleanup enhances maintainability by removing unused code and improving overall organization of the module.
      
      * Refactor imports in tilelang IR module for improved organization
      
      - Updated import statements in `tilelang/ir.py` to reflect changes in the TVM library structure, enhancing clarity and maintainability of the codebase.
      
      * lint fix
      
      * Refactor GEMM and GEMM-SP operations to enhance clarity and maintainability
      
      - Updated the `Gemm` and `GemmSP` classes to utilize a new `GemmWarpPolicy` object for warp partitioning, improving encapsulation and readability.
      - Removed deprecated `ComputeWarpPartition` methods and replaced them with calls to the new policy object, streamlining the code.
      - Cleaned up comments and unnecessary code in `gemm.cc`, `gemm_sp.cc`, and related header files to enhance overall clarity.
      - Introduced a new `GemmWarpPolicyNode` class to manage warp policy attributes and methods, facilitating better organization of related functionalities.
      - Updated reflection methods to include the new policy structure, ensuring proper registration and introspection capabilities.
      
      * Refactor Reduce operation to utilize ReduceType class for improved clarity and maintainability
      
      - Replaced multiple conditional checks for reduce types with a single ReduceType object, simplifying the code structure.
      - Introduced a new ReduceTypeNode class to encapsulate reduce type logic and methods, enhancing organization.
      - Updated MakeInitValue, MakeReduce, and Lower methods to leverage the new ReduceType class, improving readability.
      - Added Python bindings for the ReduceType class in tilelang IR module to ensure proper registration and usability.
      
      * comment
      
      * Refactor operator header files for improved readability
      
      - Cleaned up formatting and whitespace in `atomic_add.h`, `copy.h`, `fill.h`, `reduce.cc`, and `reduce.h` to enhance code clarity.
      - Consolidated comments and adjusted line breaks for better organization and maintainability across multiple operator definitions.
      
      * Refactor MakeReduce method in ReduceOpNode for clarity
      
      - Updated the parameter name in the MakeReduce method from `rhs` to `b` and assigned it to `rhs` for improved readability.
      - This change enhances the clarity of the method's purpose and aligns with the overall refactoring efforts in the Reduce operation.
      
      * Update Reduce operation type checks for consistency
      
      - Changed string comparisons for reduce types in the MakeReduce method from "abs_sum" to "abssum" and "abs_max" to "absmax" for uniformity.
      - This adjustment enhances the clarity and consistency of the reduce type handling in the codebase.
      3cfefc8e