- 24 Jul, 2025 1 commit
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Lei Wang authored
* [Enhancement] Improve buffer conflict detection in thread storage synchronization - Added a new boolean variable `range_is_overlap` to accurately determine if buffer indices overlap, enhancing the conflict detection logic in `thread_storage_sync.cc`. - Updated the return logic to reflect the overlap status, ensuring correct conflict resolution based on buffer index comparisons. - Removed an unnecessary comment in `OptimizeForTarget` to streamline the code and improve clarity. * example fix * enhancement * improve ci
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- 16 Jul, 2025 1 commit
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Lei Wang authored
* [Enhancement] Improve memory access condition checks in GlobalMemChecker - Updated the condition checks in the GlobalMemChecker to utilize symbolic bounds in the CanProve method, enhancing the accuracy of memory access validations. - This change ensures that both upper and lower bound conditions are evaluated with improved proof strength, contributing to more robust memory access analysis. * lintfix * [Enhancement] Add legality checks for shared memory and global range in LowerBulkCopy - Implemented checks to ensure that the shared memory range and global range are legal during the bulk copy operation. - Added assertions to validate that the extents of global and shared ranges match, improving the robustness of memory access validation in the LowerBulkCopy function. * [Refactor] Update barrier and clear operations in warp specialization examples - Replaced `mbarrier_wait_parity` and `mbarrier_arrive` with `barrier_wait` and `barrier_arrive` for improved clarity and consistency in synchronization. - Adjusted the order of `clear` operations for local fragments in `example_warp_specialize_gemm_copy_1_gemm_0` to enhance parallel execution efficiency. * [Enhancement] Implement thread partial synchronization and improve shared memory allocation handling - Added support for thread partial barrier synchronization in CUDA, allowing for more flexible thread management. - Enhanced the `MergeSharedMemoryAllocations` function to accept alignment bytes, improving memory allocation efficiency based on target requirements. - Updated the `Lower` methods in `Copy` and `Fill` classes to include conditional predicates for thread execution, ensuring better control over thread behavior. - Refactored the `print` function to include warp group and warp IDs for more detailed debugging output. - Improved the handling of dynamic shared memory allocations in the `LowerAndLegalize` function to align with target-specific requirements. * [Enhancement] Add support for disabling TMA in Copy operations - Introduced a new `disable_tma` parameter in the `Copy` class to control thread memory access behavior. - Updated the `Lower` method to conditionally execute bulk copy operations based on the `disable_tma` flag. - Enhanced the `copy` function to accept the `disable_tma` argument, allowing for more flexible memory copy operations. - Improved handling of `coalesced_width` to ensure it defaults to -1 when not provided, enhancing robustness in memory operations. * [Refactor] Clean up whitespace and formatting in multiple files - Removed unnecessary blank lines and adjusted line breaks for improved code readability in `example_mla_decode.py`, `example_warp_specialize_gemm_copy_gemm_0_1.py`, `phase.py`, and `copy.py`. - Ensured consistent formatting across functions to enhance maintainability and clarity of the codebase. * [Enhancement] Refactor flash attention implementation for improved performance and configurability - Split the shared memory allocations for query and key-value pairs to optimize memory usage. - Introduced command-line arguments for batch size, number of heads, and dimensions, enhancing flexibility in running the example. - Updated kernel execution parameters to improve thread management and synchronization. - Enhanced the overall structure of the flash attention function for better readability and maintainability. * fix * Update layout inference in ParallelOp to account for thread bounds; remove debug print in OptimizeForTarget * Refactor barrier handling and update example configurations - Replaced commented-out barrier creation with new barrier allocation in GEMM example. - Updated kernel configuration in warp specialization example to include async copy settings. - Enhanced barrier management in the phase optimization process to improve synchronization handling. - Introduced new barrier allocation function for better memory management in shared contexts. * Refactor barrier handling in LowerAndLegalize and OptimizeForTarget - Reintroduced barrier lowering in OptimizeForTarget to enhance synchronization. - Removed commented-out barrier lowering in LowerAndLegalize for cleaner code. - Added exit() call in OptimizeForTarget to halt execution after barrier lowering. * Enhance CMake configuration and clean up example scripts - Enabled compile command export in CMakeLists.txt for better build integration. - Removed unnecessary print statement in the warp specialization example. - Cleaned up commented-out code in GEMM example for improved readability. - Updated barrier handling in shared memory allocation transformations for better synchronization. * Refactor barrier handling in warp specialization examples - Replaced commented-out mbarrier code with new barrier allocation using T.alloc_barrier for improved synchronization. - Updated barrier wait and arrive calls to align with the new allocation method across multiple example scripts. - Enhanced code readability by removing unnecessary comments and ensuring consistent barrier management. * Update lower_shared_barrier.cc * Update phase.py * Update warp specialization example and Cython wrapper - Removed commented-out pass configuration options in the warp specialization example for clarity. - Added functionality to write the generated kernel source to a file named "kernel.cu". - Enhanced Cython wrapper to support boolean type conversion for improved type handling. * Add storage synchronization call in shared barrier transformation - Introduced a new evaluation statement to call the TVM storage sync function with "shared" as an argument, enhancing synchronization in the shared barrier handling process. * remove debug files * Remove kernel source output to file in warp specialization example * remove comments * Refactor tensor handling and update test execution in TileLang - Changed `Buffer` to `Tensor` in `customize.py` for better type consistency. - Updated `mbarrier_wait_parity` and `mbarrier_arrive` functions in `builtin.py` to use `tir.BufferLoad` instead of `BufferLoad`. - Commented out the main testing function in `test_tilelang_language_reshape.py` and replaced it with a direct call to `run_reshape_smem` for streamlined testing. - Removed unnecessary NVCC compiler flags in `libgen.py` to reduce verbosity. * Update test_tilelang_language_reshape.py
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- 20 Jun, 2025 1 commit
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Lei Wang authored
* [Enhancement] Update `pythonic_expr` to format type casts and improve tensor validation in Cython wrapper - Enhanced `pythonic_expr` to represent type casts as `(type)value` for better clarity in expression representation. - Modified tensor validation in `CythonKernelWrapper` to conditionally check for tensor contiguity based on a new `skip_tensor_validation` parameter. - Improved type mapping in `map_torch_type` to include version checks for new float8 types, ensuring compatibility with specific PyTorch versions. * [Feature] Implement dynamic shared memory allocation alignment - Added a new transformation pass `AlignDynamicSharedMemoryAllocations` to align dynamic shared memory allocations to specified byte boundaries, enhancing memory access efficiency. - Introduced a new utility class `TileLangAlignDynamicSharedMemoryAllocations` to handle the alignment logic for both allocation and buffer operations. - Updated the `LowerAndLegalize` function to apply the alignment transformation based on the target device's capabilities, ensuring compatibility with different architectures. * [Enhancement] Update dtype and argument defaults in GEMM autotuning example - Changed data type from `float16` to `bfloat16` for improved precision in computations. - Updated the default value of the `--with_roller` argument from `True` to `False` to modify the behavior of the autotuning process. * [Enhancement] Improve thread range computation in storage access - Added a new method `ComputeThreadRange` to calculate the range of threads for better access tracking. - Updated `AccessEntry` structure to include `thread_range`. - Modified various visitor methods to utilize `IRVisitorWithAnalyzer` for improved analysis during expression and statement visits. - Ensured thread range is computed and stored during buffer load and store operations, enhancing memory access efficiency. * [Refactor] Update comments for clarity in dynamic shared memory allocation alignment - Translated comments in `align_dynamic_shared_memory_allocations.cc` from Chinese to English for better understanding. - Removed an unnecessary call to `IRVisitorWithAnalyzer::VisitStmt_` in `storage_access.cc`. - Added a blank line for improved readability in `thread_storage_sync.cc`. * [Refactor] Enhance storage access analysis and thread range computation - Introduced `ExtractRealCondition` to improve condition handling in `IfThenElseNode` visits. - Updated `ComputeThreadRange` to use `Var` instead of `IterVar` for thread range mapping, enhancing clarity and consistency. - Wrapped statement visits in `With<arith::ConstraintContext>` to ensure proper analysis context during condition evaluations. * [Enhancement] Update default matrix dimensions in GEMM autotune example - Changed default values for matrix dimensions M, N, and K from 16384 to 4096 in `example_gemm_autotune.py` to facilitate quicker testing and benchmarking. * typo fix * enhancement * [Fix] Add conflict detection for buffer index size mismatch in thread storage sync - Implemented a check to return true if the sizes of previous and current buffer indices do not match, indicating a conflict.
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- 11 Apr, 2025 1 commit
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Lei Wang authored
* [Enhancement] Introduce logical operations `any_of` and `all_of` for buffer checks - Added new logical operations `any_of` and `all_of` to the TileLang language interface, allowing users to check conditions across buffer elements. - Implemented corresponding intrinsic calls for CUDA, enhancing the functionality of the TileLang framework. - Updated the `allocate.py` to handle boolean types correctly in shared memory allocations. - Introduced tests for the new logical operations to ensure correctness and performance. Co-authored-by:
Zhiwen Mo <zhiwen.mo25@ic.ac.uk> * lint fix --------- Co-authored-by:
Zhiwen Mo <zhiwen.mo25@ic.ac.uk>
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- 14 Feb, 2025 1 commit
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Lei Wang authored
* bump version into v0.1.0 * [Enhancement] Add custom develop command for editable installs and update .gitignore * [Documentation] Update README to include system dependencies installation instructions * [Build] Update setup.py to support library file copying for both release and develop modes * [Build] Refactor library file copying logic in setup.py * [Documentation] Remove unnecessary install section header in Installation.md * [Build] Add tox configuration and local distribution script for multi-Python version support * [Build] Improve git submodule update function with better error handling * [Build] Update LLVM configuration path in ROCm installation script * [Build] Add .tox/ to .gitignore for tox testing environment * [Build] Add support for TVM prebuild path configuration in CMakeLists.txt * [Cleanup] Remove unused TVM runtime error codes header * [Cleanup] Fix TVM grid constant type reference in CUDA module * [Cleanup] Remove unused customized_code function from IR module * [Feature] Add TileLang thread synchronization and storage access analysis passes * [Build] Reorder DLL search path directories for more flexible library loading * [Refactor] Improve thread synchronization and library path handling - Rename ThreadSync and TileLangThreadSync functions in C++ code - Update Python docstring for ThreadSync with more detailed description - Reorder library path detection in tilelang environment setup - Minor comment and code cleanup in CUDA and warp specialization modules * [Refactor] Improve thread synchronization code style and formatting - Standardize pointer type spacing in storage_access.h and storage_access.cc - Update whitespace and indentation in thread_storage_sync.cc - Reorder include statements in thread_partial_sync.cc - Minor code formatting improvements across thread synchronization files * [Refactor] Fix global function registration for ThreadSync - Correct global function registration to use ThreadSync instead of TileLangThreadSync - Update TVM global registration to match recent refactoring efforts * [Refactor] Simplify ThreadSync global function registration - Remove unnecessary whitespace in global function registration - Compact the TVM global registration line for ThreadSync
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- 11 Jan, 2025 2 commits
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Lei Wang authored
* README.md fixed * update test ci * Lint and Typo Fix * Clang Format Lint Fix
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Lei Wang authored
* Add format.sh script for code formatting and linting * docs update * center align the title * lint fix * add ignore * Add .gitignore for 3rdparty directory * Add requirements-dev.txt, requirements-test.txt, and requirements.txt * 3rdparty * Add gemm.h, CMakeLists.txt, _ffi_api.py, __init__.py, runtime.h, reduce.h, loop_partition.h, utils.h, and loop_vectorize.h * Refactor CMakeLists.txt and include statements - Update CMakeLists.txt to use a newer version of CMake and add project name - Remove unnecessary include directories Fix include paths in layout.cc, codegen.cc, codegen.h, rt_mod.cc, frontend_legalize.cc, inject_pipeline.cc, layout_inference.cc, loop_vectorize.cc, and lower_tile_op.cc - Update include paths to use relative paths instead of absolute paths * Update submodule for 3rdparty/tvm * update * load dll first * Refactor CMakeLists.txt and include statements * Refactor CMakeLists.txt and include statements * git keep update * Refactor CMakeLists.txt and include statements * Refactor CMakeLists.txt and include statements * refactor code structure * Update Readme * CMakeLists Customized * update readme * update README * update readme * update usage * with TVM_IMPORT_PYTHON_PATH to handle own tvm build python import * annotate lower transform global func with `transform` prefix * Migrate Simplify Pass from tilelang tvm branch * enhance system environment handling with __init__ and CMake * Initial commit * CODE_OF_CONDUCT.md committed * LICENSE committed * README.md committed * SECURITY.md committed * SUPPORT.md committed * CODE_OF_CONDUCT Commit * LICENSE Commit * SECURITY Commit * SUPPORT Commit * Modify Support * Update README.md * security ci update * remove examples * Update and implement clang-format * add composable kernel components * Migrate from latest update * submodule update * Test update * Update License * Spell check * lint fix * add clang-tidy to apply static analysis for c source * update tilelang examples * Update Install Docs * Refactor filetree * Enhance Install * conflict resloved * annotate_version * Initial Update * test fix * install * Implement setup.py * lint fix * Separate Init * Separate test * docker file commit * add logo * Update Readme and Examples * update readme * update logo * Implement AMD Installation * Add License * Update AMD MI300x Benchmark * update README * update mi300 benchmark scripts * update ignore * enhance build scirpt * update image * enhance setup.py to remove duplicated libraries * remove debug files * update readme * update image * update gemm examples * update flashattention README * readme update * add cmake into requirements * libinfo fix * auto update submodule * lint fix * Fix AMD Build and Test * Update check for transpose attribute for CDNA Arch * typo fix for amd * Implement Matmul Benchmark * Refactor Code * [TypoFix] Fix GEMM Example * [Docs] Init Linear Attention README * [TYPO] Typo fix * [Lint] Lint Fix * enhance example with intrinsics * [Enhancement] Improve Buffer Collection during IR Parser * [Dev] Introduce Current classmethod to get current frame * submodule update * fake test pass update * support thread_extent_api * code optimize * Add GEMM function implementation for matrix multiplication * Update logging format to reflect TileLang in logger messages * Refactor CMakeLists.txt for improved readability and set default build type to Release * Support Gemm SS Primitives Implementation * [README] Upload Tile Language Logo (#5) * update logo * Update README.md to enhance formatting and center the title --------- Co-authored-by:
microsoft-github-operations[bot] <55726097+microsoft-github-operations[bot]@users.noreply.github.com> Co-authored-by:
Microsoft Open Source <microsoftopensource@users.noreply.github.com> Co-authored-by:
Yu Cheng <yu.cheng@pku.edu.cn>
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