- 31 Mar, 2025 2 commits
-
-
Lei Wang authored
* Remove logging statement from LoopVectorizerDynamic Substitute method for cleaner output. * Refactor flashattn example to improve CUDA configuration handling - Updated the `flashattn` function in `example_gqa_decode.py` to utilize a heuristic configuration based on CUDA device capabilities, enhancing compatibility with different architectures. - Replaced local variable allocations with more efficient constructs and removed unnecessary logging statements for cleaner output. - Adjusted the `do_bench` method call to streamline performance profiling. * lint fix
-
Lei Wang authored
* [Enhancement] Improve error message for RampNode in CUDA codegen - Updated the error message in the VisitExpr_ method for RampNode to include the specific Ramp node and lane count when the lane count exceeds the limit of 4. This change enhances debugging by providing clearer context for the error. - Refactored the loop vectorization logic in loop_vectorize_dynamic.cc to improve readability and maintainability, ensuring that dynamic vectorization checks are performed correctly and efficiently. * lint fix
-
- 29 Mar, 2025 1 commit
-
-
Zhengju Tang authored
* [Dynamic Symbolic] Refactor passes with dynamic symbolic and check shape bound precisely * lint fix * update license --------- Co-authored-by:LeiWang1999 <leiwang1999@outlook.com>
-
- 13 Mar, 2025 1 commit
-
-
zqh-wz authored
* upgrade cutlass to upstream v3.8.0 * Implement fp8 gemm and add example script * Fix dtype retrieval with map_torch_type for fp8 inputs * Disable vectorization of fp8 values * Make MMA declaration compatible with cutlass 3.4.0+ * Add test for fp8 T.gemm * fix indent * fix indent * Add copyright and license header * Add copyright and license header * lint fix * Refactor matmul_nt and assert_matmul_correctness functions for improved readability by consolidating parameter definitions and adjusting formatting. * clang format lint --------- Co-authored-by:
Lei Wang <34334180+LeiWang1999@users.noreply.github.com> Co-authored-by:
-
- 09 Mar, 2025 1 commit
-
-
Lei Wang authored
* [Refactor] Update BitBLAS Benchmark with TileLang Carver Imports and Roller Hints Generation - Replace BitBLAS imports with TileLang Carver imports in benchmark_matmul.py - Modify roller hints generation using new TileLang Carver template and utility functions - Update get_roller_hints_from_func to handle None cases and improve return logic - Adjust DefaultPolicy to handle different codegen dictionary formats * [Refactor] Update Thread Binding and Import Statements in TileLang Kernels - Replace T.thread_binding() with T.get_thread_binding() across multiple kernel test files - Update import statements for MMA layout and macro generator in dequantize GEMM and FP8 examples - Move map_torch_type utility function to tilelang.utils.tensor - Remove unnecessary imports and improve code organization * Refactor Native Sparse Attention Example with Enhanced Triton Kernel - Update parallel_nsa_fwd_kernel to support more flexible sparse attention computation - Add support for block counts and offsets in the Triton kernel - Modify kernel grid and computation logic for improved performance - Update example script to use naive_nsa_simple reference implementation - Improve type hints and kernel configuration * Add Native Sparse Attention Examples with Tilelang and Triton Implementations - Introduce new example scripts for native sparse attention: * example_tilelang_nsa_fwd.py: Forward pass implementation using TileLang * example_tilelang_nsa_decode.py: Decoding-specific sparse attention implementation * example_triton_nsa_fwd.py: Triton-based sparse attention forward pass - Update reference.py with naive implementations for sparse attention - Support different sparse attention scenarios including forward pass and inference - Add comprehensive testing and validation against reference implementations * lint fix * Add Variable-Length Native Sparse Attention Examples for TileLang and Triton - Introduce new example scripts for variable-length native sparse attention: * example_tilelang_nsa_fwd_varlen.py: TileLang implementation with variable sequence lengths * example_triton_nsa_fwd_varlen.py: Triton implementation with variable sequence lengths - Update reference.py to support variable-length sparse attention scenarios - Enhance existing sparse attention implementations to handle variable-length inputs - Add comprehensive testing and validation for variable-length sparse attention * Refactor Native Sparse Attention Examples: Code Style and Formatting Improvements - Standardize function and parameter formatting across NSA example files - Improve code readability by adjusting indentation and line breaks - Enhance type hints and parameter alignment - Remove unnecessary whitespaces and optimize imports - Maintain consistent code style across TileLang and Triton implementations * Add debug logging and extend execution backend in JIT and loop vectorization - Add detailed logging in loop vectorization to help diagnose buffer shape handling - Extend JIT execution backend to include 'cython' option - Improve boundary condition checks in BufferLoadNode visit method * Remove debug logging in loop vectorization BufferLoadNode visit method - Remove unnecessary INFO log statements in VisitExpr_ method - Simplify code by eliminating redundant logging - Maintain core logic for handling buffer load node visits
-
- 15 Feb, 2025 1 commit
-
-
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 * [Feature] Add WebGPU code generation support in TileLang - Implement WebGPU code generator (codegen_webgpu.cc and codegen_webgpu.h) - Add WebGPU target support in lower.py and target.py - Update CMakeLists.txt to include WebGPU codegen source files - Introduce WebGPU-specific code generation for WGSL shader language * [Refactor] Improve WebGPU code generation formatting and readability - Enhance code formatting in codegen_webgpu.cc and codegen_webgpu.h - Standardize pointer type spacing and indentation - Improve line breaks and reduce line length for better readability - Minor code style improvements in WebGPU code generation * [Test] Add WebGPU matrix multiplication code generation test - Implement test_webgpu_codegen.py for WebGPU matrix multiplication - Add assert_gemm_codegen function to validate WebGPU code generation - Include basic matrix multiplication kernel test case * Update README with WebGPU codegen support announcement
-
- 11 Jan, 2025 2 commits
-
-
Lei Wang authored
* README.md fixed * update test ci * Lint and Typo Fix * Clang Format Lint Fix
-
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>
-
