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- 16 Apr, 2025 1 commit
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Lei Wang authored
* Update copyright notice in example_mha_bwd_wgmma_pipelined.py to reflect Tile-AI Corporation ownership. * lint fix
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- 26 Mar, 2025 1 commit
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Lei Wang authored
* [Refactor] Improve flash attention example and layout comparison logic - Removed unnecessary annotation for `lse_local_split` in the flash attention example to streamline the code. - Updated the handling of `lse_local_split` to utilize parallel processing for better performance. - Refactored kernel compilation and profiling logic to enhance clarity and maintainability in the flash attention example. - Added a condition in `FragmentNode::IsEqual` to handle broadcast cases, improving the robustness of layout comparisons. * lint fix * [Enhancement] Add support for shared memory scope in Fill operation - Introduced handling for `shared.dyn` and `shared` memory scopes in the Fill operation. - Implemented parallel operation and layout inference for improved performance in shared memory scenarios. - Updated thread loop partitioning and vectorization logic to accommodate new memory scope handling. * [Refactor] Remove deprecated decorator and enhance Cython kernel handling - Removed the deprecated decorator from the main module and added a new implementation in the utils module for better organization. - Introduced a pointer map in the Cython kernel adapter to manage pointer arguments, improving runtime shape resolution. - Updated the Cython kernel wrapper to utilize the new pointer map for handling kernel arguments. - Enhanced error checking in the tensor utility functions to ensure static shapes are enforced. - Added a new proxy module for buffer and tensor handling, streamlining the interface for TIR programs. * [Feature] Add matrix multiplication test and kernel implementation - Introduced a new test file `test_tilelang_language_ptr.py` that implements a matrix multiplication function using TileLang's primitives. - The `matmul_test` function defines a kernel for performing tile-level GEMM operations with customizable block sizes and data types. - Added a `run_matmul` function to compile and execute the kernel, along with a test function to validate the implementation. - Updated the `proxy.py` file to enhance type handling for buffer and tensor proxies, ensuring compatibility with TIR programs. - Minor formatting improvements in `deprecated.py` for better readability. * lint fix * [Refactor] Update tensor creation in matrix multiplication test - Replaced `T.Tensor.from_ptr` with `T.make_tensor` in `matmul_test` for improved clarity and consistency. - Updated imports in `__init__.py` to include `make_tensor`. - Added `make_tensor` function in `proxy.py` to streamline tensor creation from pointers. * [Refactor] Update tensor definitions across multiple files - Replaced instances of `T.Tensor` with updated tensor definitions in various benchmark and example files to enhance consistency and clarity. - Adjusted tensor shapes and types in functions related to matrix multiplication, attention mechanisms, and other operations. - Improved documentation in README and example files to reflect changes in tensor usage. * lint fix * [Refactor] Update tensor types in attention and matrix multiplication examples - Replaced instances of `T.Tensor` with `T.SharedTensor` and `T.FragmentTensor` in various attention and matrix multiplication functions to improve consistency and clarity. - Adjusted tensor definitions in benchmark and example files to align with the new tensor types. - Enhanced the overall structure and readability of the code by standardizing tensor usage across multiple files. * lint fix * [Refactor] Update tensor types in GEMM example and test files - Replaced instances of `T.Tensor` with `T.LocalTensor` and `T.Buffer` in the GEMM example and related test functions to improve consistency and clarity. - Enhanced the overall structure of the code by standardizing tensor usage across multiple files, aligning with recent updates in tensor definitions. * [Refactor] Update tensor usage in customize.py - Replaced instances of `T.Tensor` with `T.Buffer` in the `reshape` and `view` functions to enhance consistency with recent tensor definitions. - Improved code clarity by standardizing buffer usage across the file. * [Refactor] Update tensor types in test_tilelang_transform_annotate_device_regions.py - Replaced instances of `T.Tensor` with `T.Buffer` in the `before` and `expected` methods of the `TestAnnotateThreadExtent` and `TestAnnotateDeviceScope` classes to enhance consistency with recent tensor definitions. - Improved code clarity by standardizing buffer usage across the test file. * [Refactor] Update tensor types to SharedBuffer and FragmentBuffer - Replaced instances of `T.SharedTensor` and `T.FragmentTensor` with `T.SharedBuffer` and `T.FragmentBuffer` across multiple benchmark, example, and test files to enhance consistency with recent tensor definitions. - Improved code clarity and structure by standardizing buffer usage in attention and matrix multiplication functions. * [Refactor] Introduce Tensor alias for Buffer in proxy.py - Added a new alias `Tensor` for `Buffer` in `proxy.py` to facilitate JIT compilation, ensuring that inputs and outputs are mapped with `torch.Tensor`. - This change enhances clarity and consistency in tensor usage across the codebase.
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- 16 Mar, 2025 1 commit
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Lei Wang authored
* [Refactor] Update KernelParam integration across modules - Replaced instances of TensorType with KernelParam in various modules to standardize parameter handling. - Updated JITKernel, BaseKernelAdapter, and CythonKernelAdapter to utilize KernelParam for improved type consistency. - Enhanced Profiler class to include KernelParam in its parameters, ensuring better integration with the new parameter structure. - Adjusted tensor handling in utility functions to accommodate the new KernelParam type, improving overall code clarity and maintainability. - Updated copyright headers to reflect the correct organization. * [Refactor] Clean up whitespace in kernel, profiler, and tensor modules - Added blank lines for improved readability in kernel.py, __init__.py, and tensor.py. - Enhanced code clarity by ensuring consistent formatting across these modules. * [Enhancement] Add detailed docstrings to KernelParam and Profiler classes - Enhanced KernelParam class with comprehensive docstrings for better understanding of its purpose and methods. - Updated Profiler class to include detailed docstrings for its attributes and methods, improving code documentation and usability. - Removed unused do_bench function to streamline the profiler module and improve clarity. * [Refactor] Update type hints in do_bench function and clean up whitespace in profiler module - Changed type hints for grad_to_none and quantiles parameters in do_bench function to use Optional for better clarity. - Added a blank line in __init__.py for improved readability and consistency in the profiler module. * [Refactor] Update type hint in do_bench function for consistency - Changed the return type hint in the do_bench function from a union type to a more explicit List type for better clarity and consistency in type annotations. * [Refactor] Update return type hint in do_bench function for clarity - Changed the return type hint in the do_bench function from a union type to Union[float, List[float]] for improved clarity and consistency in type annotations. * [Enhancement] Add func property to Profiler class for adapter access - Introduced a new property `func` in the Profiler class to provide access to the adapter, ensuring that the adapter is set before retrieval. This enhancement improves the usability of the Profiler class by allowing easier access to the adapter functionality. * [Refactor] Update kernel compilation and profiling in tests - Replaced instances of `TL.lower` and `TL.Profiler` with `tilelang.compile` and the new profiler interface across multiple test files. - Enhanced the kernel compilation process to utilize the updated API, improving consistency and maintainability in the testing framework. - Updated assertions to use the new profiler methods for better clarity and functionality in performance testing. * [Refactor] Simplify kernel invocation and remove unused parameters in tests - Updated the kernel invocation in `test_tilelang_dynamic_symbolic.py` to directly assign the result to `C`, improving clarity. - Removed the `execution_backend` parameter from `tilelang.compile` calls in `test_tilelang_jit_callback.py` and `test_tilelang_jit_gemm.py` for consistency with the updated API. - Commented out the call to `tilelang.testing.main()` in `test_tilelang_jit_callback.py` and replaced it with a direct call to `test_gemm_jit_kernel()` to streamline test execution. - Adjusted the dtype mapping in `TorchDLPackKernelAdapter` to use the parameter's dtype directly, enhancing code simplicity. * [Refactor] Remove unused imports in test files for cleaner code - Eliminated unnecessary imports of `tilelang` as `TL` in various test files to enhance code clarity and maintainability. - Updated multiple test files to streamline the codebase and reduce potential confusion from unused references. * [Refactor] Simplify kernel invocation in tilelang kernel test - Updated the kernel invocation in `test_tilelang_kernel_bf16_gemm_mma.py` to directly assign the result to `C`, enhancing code clarity and consistency with recent changes in the API. * [Refactor] Simplify kernel invocation in tilelang kernel tests - Updated kernel invocations in multiple test files to directly assign the result to `C`, improving code clarity and consistency with the updated API. - Removed unnecessary initialization of `C` as a zero tensor, streamlining the code further. * [Refactor] Update kernel invocation in tilelang transform tests - Replaced the use of `TL.Profiler` with `tilelang.compile` in `test_tilelang_transform_simplify.py`, enhancing code clarity and consistency with the updated API. - Streamlined the kernel invocation process by directly assigning the result to `C`, improving readability and maintainability of the test code.
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- 05 Mar, 2025 1 commit
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Lei Wang authored
* Fix debug print buffer template for unsigned char type - Update debug_print_buffer_value template specialization for unsigned char - Modify test_tilelang_debug_print.py to include additional dtype tests - Add test case for uint8 dtype in debug print buffer function * Refactor debug print buffer template formatting for unsigned char - Improve code formatting for debug_print_buffer_value template specialization - Adjust line breaks and indentation for better readability - Maintain consistent code style with other template specializations * Extract map_torch_type utility function to tilelang.utils.tensor - Move map_torch_type function from multiple test files to a centralized location - Import map_torch_type from tilelang.utils.tensor in kernel test files - Improve code reusability by creating a shared utility function for type mapping * Add buffer dtype mapping for Cython kernel adapter - Introduce buffer_dtype_map in CythonKernelAdapter to track buffer variable dtypes - Add _process_buffer_dtype method to extract dtype information from TIR function - Update CythonKernelWrapper to support setting and validating buffer dtypes - Enhance type checking during kernel execution with dtype verification - Improve logging message for Cython JIT adapter compilation * Add static shape mapping for Cython kernel adapter - Introduce static_shape_map in CythonKernelAdapter to track buffer variable static shapes - Add _process_static_shape method to extract static shape information from TIR function - Update CythonKernelWrapper to support setting and validating static shapes - Enhance type checking during kernel execution with static shape verification * Add Multi-Head Attention (MHA) Backward Pass Test for TileLang Kernel - Implement comprehensive test for Multi-Head Attention backward pass - Support both causal and non-causal attention scenarios - Add reference implementation for comparing kernel outputs - Test different batch sizes, head counts, sequence lengths, and head dimensions - Verify forward and backward pass correctness using torch.testing.assert_close * Set random seed for MHA backward pass test - Add random seed initialization for consistent test reproducibility - Use tilelang.testing.set_random_seed(42) to ensure deterministic test results
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- 06 Feb, 2025 1 commit
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Lei Wang authored
* [Enhancement] Add VectorizeLoop function and update imports for compatibility * [CI][Test] Improve test cases for vectorization and fix typos in parser comments * lint fix * Fix incorrect module reference for VectorizeLoop transformation * Refactor vectorize_loop transformation by removing unused extent mutation logic * [Enhancement] Add support for FP8 data types and global barriers in CUDA codegen * Fix formatting in CUDA FP8 header file for consistency * Refactor CI workflow to use 'tilelang_ci' virtual environment and update CUDA type printing for better clarity * Update submodule 'tvm' to latest commit for improved functionality * Refactor execution backend references from 'dl_pack' to 'dlpack' for consistency and clarity; add apply_simplify function to simplify PrimFunc or IRModule. * Refactor CUDA code for improved readability; clean up formatting and remove unnecessary whitespace in multiple files. * Refactor import statement in test_tilelang_kernel_dequantize_gemm.py to use 'tilelang.language' for consistency * Add CUDA requirements to FP8 test cases and update references for clarity * Add a blank line for improved readability in test_tilelang_kernel_fp8_gemm_mma.py * Fix data type in reference result calculation for consistency in test_tilelang_kernel_gemm_mma_intrinsic.py * Add CUDA requirements and FP8 test cases for matmul and gemv simulations * Remove debug print statements and use tilelang's testing assertion for result validation in test_tilelang_kernel_gemm_mma_intrinsic.py * Remove outdated comment regarding FP8 tests in test_tilelang_kernel_gemv_simt.py
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- 23 Jan, 2025 2 commits
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Lei Wang authored
[Refactor] Simplify interface via replacing argument thread binding of intrinsics with `KernelFrame.Current` (#34) * installation script fix * readme typo fix * doc fix for dequantize gemm * [Doc] remove CODE_OF_CONDUCT.md and SECURITY.md; update references in CONTRIBUTING.md * [Doc] add unit tests for AnnotateDeviceRegions transform; remove SUPPORT.md * update license * [Enhancement] add tensor supply handling for unsigned integers; improve error message for execution backend assertion * [Refactor] improve code readability by reformatting function signatures and assertions * [Refactor] replace torch.manual_seed with tilelang.testing.set_random_seed for consistency in random seed handling * [Refactor] unify thread binding variable naming across kernel and example files * [Refactor] remove unused thread binding parameter from matrix multiplication functions * [Refactor] remove unused thread binding parameter from matrix multiplication functions * [Refactor] enable main testing function in tilelang kernel gemm test * bug fix
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Lei Wang authored
* installation script fix * readme typo fix * doc fix for dequantize gemm * [Doc] remove CODE_OF_CONDUCT.md and SECURITY.md; update references in CONTRIBUTING.md * [Doc] add unit tests for AnnotateDeviceRegions transform; remove SUPPORT.md * update license * [Enhancement] add tensor supply handling for unsigned integers; improve error message for execution backend assertion * [Refactor] improve code readability by reformatting function signatures and assertions * [Refactor] replace torch.manual_seed with tilelang.testing.set_random_seed for consistency in random seed handling
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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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