- 22 Apr, 2025 1 commit
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Lei Wang authored
* [Enhancement] Introduce thread range management in layout and operation handling * Added `SetThreadRange` method to `FragmentNode` for managing thread ranges. * Updated `LayoutNode::Inverse` to provide more informative error messages. * Refactored layout inference and operation lowering to utilize `thread_bounds` instead of `block_size`, enhancing flexibility for thread management. * Introduced new tests for tilelang operations to validate thread range functionality and ensure correctness in parallel execution scenarios. * lint fix * [Refactor] Improve thread variable handling in layout inference and operation lowering * Removed workaround for undefined thread_var in layout inference, ensuring proper handling of thread bounds. * Updated logic to define thread bounds based on the presence of thread_var, enhancing robustness in thread management. * Refactored thread_var initialization in lower_tile_op to maintain consistency across the codebase. * [Refactor] Update thread variable handling in layout inference and operation lowering * Refactored thread variable checks to ensure bounds are only accessed when defined, improving safety and clarity. * Initialized thread_var with a default range to prevent undefined behavior. * Updated logic in lower_tile_op to align with new thread variable handling, enhancing consistency across the codebase.
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- 09 Mar, 2025 1 commit
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Lei Wang authored
* Add TMA lowering configuration option and update copyright notices This commit introduces a new configuration option to disable TMA (Tensor Memory Access) lowering and updates copyright notices across multiple files. Key changes include: - Add `kDisableTMALower` configuration option in builtin.h and builtin.cc - Update copyright notices from Microsoft Corporation to Tile-AI Corporation - Modify `LowerArgs` struct to include `disable_tma_lower` flag - Update JIT compilation interfaces to support pass configuration - Enhance error reporting in bulk copy lowering - Propagate pass configuration through various adapter layers * lint fix
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- 28 Feb, 2025 1 commit
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Lei Wang authored
* Add DeepSeek MLA decode example with Flash Attention implementation * Add GEMM SplitK and StreamK example implementations This commit introduces two new example scripts demonstrating advanced GEMM (matrix multiplication) techniques: - `example_tilelang_gemm_splitk.py`: Implements a Split-K GEMM kernel using TileLang - `example_tilelang_gemm_streamk.py`: Implements a Stream-K GEMM kernel using TileLang Both examples showcase different parallel computation strategies for matrix multiplication, with comprehensive testing using PyTorch reference implementations. * Refactor GEMM SplitK and StreamK example implementations Clean up and improve code formatting for the SplitK and StreamK GEMM example scripts: - Remove unused import (Profiler) in splitk example - Simplify line breaks and improve code readability - Standardize indentation and remove unnecessary whitespace - Optimize atomic add and copy operations for better clarity * Add block sparse attention benchmarks for multiple libraries This commit introduces comprehensive block sparse attention benchmarks for different libraries: - TileLang block sparse FMHA implementation - Triton block sparse FMHA implementation - PyTorch reference block sparse FMHA implementation - FlashAttention dense FMHA reference implementation The benchmarks include: - Configurable benchmark parameters (batch size, heads, sequence length, etc.) - Sparse mask generation using top-k and threshold methods - Performance measurement for different sparse attention configurations - Utility functions for mask generation and benchmarking * Refactor block sparse attention benchmarks with code style improvements - Add Ruff linter ignore comments to benchmark files - Improve code formatting and line breaks - Remove unused imports - Standardize print statement formatting - Enhance code readability across multiple library benchmarks * lint fix * Add CUDA atomic operations for BFLOAT16 and update function naming - Implement AtomicAdd functions for BFLOAT16 and BFLOAT16x2 in CUDA common header - Rename existing atomic add functions to use PascalCase (atomicAdd -> AtomicAdd) - Add a new __pack_nv_bfloat162 function for packing BFLOAT16 values - Update kernel and language customization to use new function names - Add return type annotations in profiler module * lint fix * Add example for Group Query Attention (GQA) forward pass using Flash Attention in TileLang This commit introduces a new example script `example_gqa_fwd_bshd.py` that demonstrates: - Group Query Attention (GQA) implementation - Flash Attention forward pass - Performance benchmarking - Configurable parameters for batch, heads, sequence length, and dimension - Autotuning support - Reference implementation comparison * Refactor IR lowering pipeline into modular phases This commit introduces a new module `phase.py` to modularize the IR lowering process by splitting the complex lowering pipeline into two distinct phases: - `LowerAndLegalize`: Handles initial IR legalization and transformation - `OptimizeForTarget`: Applies target-specific optimizations The changes simplify the lowering logic in multiple files by extracting the transformation steps into reusable functions, improving code readability and maintainability. * lintfix * nas kernel * Enhance Native Sparse Attention Examples with Code Improvements and Parameter Updates - Updated example_tilelang_nsa.py and example_triton_nsa.py with code formatting and style improvements - Increased default number of heads and selected blocks in TileLang NSA example - Added Ruff linter ignore comments to reference.py - Standardized function signatures and improved code readability across NSA implementations * Add utility math functions for integer operations - Implement `next_power_of_2()` to calculate the next power of 2 for an integer - Add `cdiv()` function for ceiling division of integers * Add utility math functions for integer operations - Implement `next_power_of_2()` to calculate the next power of 2 for an integer - Add `cdiv()` function for ceiling division of integers * Refactor DeepSeek MLA Decode Example with Enhanced Flash Attention Implementation - Update flash attention kernel to support positional embeddings (PE) - Modify reference implementation to handle PE and group query attention - Increase default batch size and adjust benchmarking parameters - Improve kernel performance and readability - Add einops and torch operations for more flexible tensor manipulation * Update README.md with corrected Flash MLA Decoding example path - Modify the example link for Flash MLA Decoding to point to the correct directory - Ensure accurate navigation to the DeepSeek MLA decoding example * Refactor Native Sparse Attention Kernel and Improve Utility Functions This commit introduces several improvements: - Simplified native sparse attention kernel by inlining macro functions in example_tilelang_nsa.py - Enhanced error handling in loop_partition.cc with more informative error messages - Updated print.py to support multi-dimensional buffer printing - Improved torch_assert_close in testing/__init__.py with more detailed mismatch reporting - Reduced default absolute tolerance in torch comparison from 1e-3 to 1e-2 - Added shape validation and detailed mismatch information in tensor comparison * Refactor Code Formatting and Improve Utility Functions This commit introduces several code formatting and utility improvements: - Add Ruff linter ignore comment in example_tilelang_nsa.py - Enhance code readability in loop_partition.cc and lower_tile_op.cc with improved line breaks - Simplify print_flat_buffer_with_condition in print.py - Refactor torch_assert_close in testing/__init__.py with improved line formatting
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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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