GitLab

* [Enhancement] Improve layout inference in Copy operation (#426)

* Updated the Copy operation to infer layouts at multiple levels (kCommon, kStrict, kFree) for enhanced flexibility in layout optimization.
* Added detailed documentation for layout inference levels in ParallelOp, clarifying their purposes and use cases.
* Refactored layout inference logic to accommodate new levels, improving overall robustness and performance in parallel operations.

* lint fix

* [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.

* [Refactor] Clean up whitespace in CUDA-related files

- Removed unnecessary blank lines in `cuda.py`, `__init__.py`, and `cuda_driver.py` to improve code readability and maintainability.
- This change enhances the overall organization of the codebase without altering functionality.

* [Benchmark] Add FP8 Matrix Multiplication Benchmark Script

- Introduced a new benchmark script for FP8 matrix multiplication in `benchmark/matmul_fp8/benchmark_matmul.py`.
- The script includes functions for reference matrix multiplication, configuration generation for autotuning, and an autotuned kernel for performance measurement.
- Added command-line argument parsing for matrix dimensions and the option to enable BitBLAS roller for search space exploration.
- The benchmark computes and prints the best latency and performance metrics, enhancing the benchmarking capabilities for FP8 operations.

* lint fix

* Enhance variable creation by associating data types in IR and layout files, and introduce ExpandIndexDataType transformation

- Updated variable creation in `ir.cc`, `gemm_layouts.cc`, and `elem.cc` to include data types for better type safety.
- Added a new transformation `ExpandIndexDataType` to promote integer types to int64 where necessary, improving compatibility and performance.
- Integrated the new transformation into the optimization pipeline in `phase.py`.
- Documented the new transformation in `__init__.py` for clarity.

* lint fix

* Add configuration option for index bitwidth and remove ExpandIndexDataType transformation

- Introduced a new pass configuration option `kConfigIndexBitwidth` to allow customization of index bitwidth.
- Updated the optimization pipeline in `phase.py` to utilize the new configuration option instead of the removed `ExpandIndexDataType` transformation.
- Documented the new configuration option in the JIT compilation function's parameters for clarity.
- Removed the `ExpandIndexDataType` transformation implementation from the codebase to streamline the transformation process.

* lint fix

* Refactor index bitwidth configuration handling

- Updated the `ConfigIndexBitwidth` pass to only apply the bitwidth transformation if the configuration option is defined, preventing potential errors with undefined values.
- Changed the default value of `tl.config_index_bitwidth` in the JIT compilation function's parameters from 32 to None for better clarity and flexibility.

* lint fix

* lint fix

---------
Co-authored-by: LeiWang1999 <wyatuestc@gmail.com>

* [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.

* Fix indentation in JIT adapter wrapper to ensure consistent formatting of return statement in generated C code.

* Enhance Fill Operation in TileLang

- Updated the Fill constructor to support BufferLoad instances, adding checks for ramp indices and ensuring only stride 1 ramps are processed.
- Introduced a region array to manage the bounds of the fill operation, improving error checking for static regions.
- Modified the MakeSIMTLoop method to utilize the new region array for loop variable bounds, enhancing flexibility in kernel generation.
- Updated the fill and clear functions in fill.py to accept both tir.Buffer and tir.BufferRegion types, improving usability and type handling.

* Refactor Fill Operation and Improve Readability

- Simplified the Fill constructor by enhancing the handling of BufferLoad instances and ensuring proper checks for ramp indices.
- Improved error messages for region size checks to enhance clarity.
- Cleaned up formatting in the Fill method for better readability.
- Added a blank line in the matmul function test to improve code organization.
- Introduced a blank line in the fill function to enhance readability in fill.py.

* Add matrix multiplication functionality and test in TileLang

- Introduced a new test file `test_tilelang_language_clear.py` that implements a matrix multiplication function using TileLang's primitives.
- The `matmul` 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 `__init__.py` in the utils module to include `map_torch_type`, enhancing type handling for tensor operations.

* lint fix

* remove llvm build

* [Refactor] Update kernel compilation and profiling in examples

- Replaced `tilelang.lower` with `tilelang.compile` in multiple example scripts to streamline kernel compilation.
- Updated profiling calls to utilize the new `get_profiler` method, enhancing performance measurement consistency.
- Adjusted assertions and benchmarking methods to align with the new profiling structure across various examples, ensuring correctness and clarity in performance evaluations.

* lint fix

* License Update

* [Refactor] Improve code formatting and documentation in CUDA header and HIP runtime files

- Adjusted formatting in `cuda.h` for better readability, including alignment of comments and struct fields.
- Cleaned up whitespace and improved comment clarity in `rt_mod_hip.cc` to enhance code maintainability.

* [Refactor] Enhance formatting and clarity in CUDA header and HIP runtime files

- Improved comment alignment and readability in `cuda.h`.
- Cleaned up whitespace and formatting in `rt_mod_hip.cc` to enhance maintainability.

* lint fix

* lint fix

* lint fix

* lint fix

* fix

* License update

* [Enhancement] Update JITKernel to use artifact for kernel source

- Assigned the generated artifact to `self.artifact` for better management.
- Updated kernel source references to use `artifact.kernel_source` for consistency in execution backend handling.

* lint fix

* Add @tilelang.testing.requires_llvm decorator to vectorization tests

* Enhance setup.py and env.py for library management

- Added functionality to remove original files after copying in CMakeBuild.
- Updated TVM_LIBRARY_PATH in env.py to include the PyPI build library path for better integration.

* Refactor TVM_LIBRARY_PATH assignment for improved readability in env.py

* Refactor CMakeBuild file handling in setup.py

- Added a check to ensure the target library directory exists before copying .so files.
- Improved the logic for creating the target directory and copying files to enhance robustness.

* bugfix

* Rename BuildTLDebug to BuildTileLangCUDAWithoutCompile and update registration. Add @tilelang.testing.requires_llvm decorator to multiple tests for LLVM requirement.

* lint fix

* Enhance TileLang code generation by adding support for device code generation without compilation. Updated `host_codegen` and `device_codegen` functions to include new transformations and registration for `tilelang_hip_without_compile`. Refactored JIT kernel adapters to accommodate host and device modules, improving overall integration and flexibility.

* lint fix

* Add support for C target in device code generation

- Updated `device_codegen_without_compile` to include handling for the C target by registering the `tilelang_cpp` function.

* [Enhancement] Implement auto-clear cache feature based on environment variable

* Added TILELANG_CLEAR_CACHE environment variable to control cache clearing.
* Updated CI workflow to set TILELANG_CLEAR_CACHE during testing.
* Modified cache initialization to clear cache if TILELANG_CLEAR_CACHE is set to true.

* [Refactor] Update kernel invocation and import paths in tests and cache

* Changed kernel invocation in `test_tilelang_kernel_dequantize_gemm.py` to return the result.
* Updated import statements in `test_tilelang_kernel_int4_gemm_mma.py` to use `bitblas` instead of `tilelang`.
* Refactored paths for artifact and parameters in `kernel_cache.py` for better maintainability.

* [Refactor] Clean up whitespace and improve code formatting in kernel_cache.py

* Removed unnecessary blank lines and adjusted spacing for better readability in the KernelCache class.
* Enhanced overall code formatting to align with project standards.

* [Enhancement] Add bfloat16 test case and improve kernel caching logic

* Introduced a new test case for bfloat16 matrix multiplication in `test_tilelang_kernel_gemm_mma_intrinsic.py`.
* Updated `KernelCache` to handle multiple kernel source files and improve error handling during saving and loading.
* Refactored `JITKernel` to support instantiation from a database, enhancing flexibility in kernel management.
* Adjusted `CtypesKernelAdapter` and `CythonKernelAdapter` to utilize the new kernel loading mechanism from the database.
* Improved code formatting and readability across several files.

* lint fix

* Update bfloat16 matrix multiplication test case to use larger dimensions for improved coverage

* [Feature] Add reduce_max functionality and corresponding tests

* Introduced a new test file for the reduce_max operation in the tilelang language module.
* Implemented the reduce_max functionality using T.prim_func, including local memory allocation and result copying.
* Added tests for various input sizes and data types to ensure correctness of the reduce_max implementation.
* Enhanced profiling assertions to validate the output against reference implementations.

* Fix whitespace issues in reduce_max test file for improved readability

* [Refactor] Update DebugOutput methods to return strings instead of void

* Modified DebugOutput methods in LayoutNode, FragmentNode, and SwizzledLayoutNode to return std::string instead of void, enhancing usability for logging and debugging.
* Updated corresponding header files to reflect the new return types.
* Improved layout inference error messages by incorporating DebugOutput for better clarity in layout conflicts.

* lint fix

* Fix typo in matmul function: changed loop from T.Parallel to T.grid for correct parallel execution in webgpu code generation tests.

* [Enhancement] Improve layout inference conflict handling in ParallelOp

* Updated the layout inference logic in ParallelOp to better handle conflicts for local.fragment buffers.
* Added checks to ensure that layout conflicts are reported only when both source and destination buffers are defined, improving clarity in error messages.
* Enhanced the overall robustness of the layout inference process by addressing specific cases where conflicts may arise.

* [Feature] Add IsEqual methods for layout comparison

* Introduced IsEqual methods in LayoutNode, FragmentNode, and SwizzledLayoutNode to facilitate structural equality checks, allowing for optional index comparison.
* Enhanced layout inference logic in Copy and ParallelOp to utilize the new IsEqual methods for better conflict detection in local.fragment layouts.
* Improved error messages for layout conflicts to provide clearer guidance on potential issues.houm

* [Refactor] Update profiler usage in benchmark_nsa_fwd.py and improve layout inference in elem.cc and parallel.cc

* Modified the profiler call in benchmark_nsa_fwd.py to streamline latency measurement.
* Updated layout inference logic in elem.cc and parallel.cc to use const pointers for FragmentNode, enhancing type safety and clarity.
* Improved error messages in layout conflict checks to provide better guidance on potential issues.

* [Refactor] Clean up pointer formatting in layout inference files

* Standardized pointer formatting for FragmentNode in elem.cc and parallel.cc to improve code readability.
* Minor adjustments to error message formatting in layout conflict checks for better clarity.

* Optimize CMake build process with dynamic job count calculation

- Modify build_csrc function to use 90% of available CPU cores
- Ensure at least one job is used during compilation
- Improve build performance by dynamically adjusting parallel job count

* Optimize build_csrc function with multiprocessing module

- Replace os.cpu_count() with multiprocessing.cpu_count()
- Maintain existing 90% CPU utilization logic
- Improve CPU core count calculation for build process

* Add dynamic shape support with out_idx in Cython JIT kernel compilation

- Implement `run_cython_dynamic_shape_with_out_idx` function in test_tilelang_jit_gemm_cython.py
- Update Cython wrapper to handle dynamic symbolic shapes during tensor allocation
- Add support for resolving dynamic shape dimensions using input tensor references
- Enhance flexibility of JIT kernel compilation with symbolic shape handling

* Enhance error reporting for dynamic symbolic shape resolution in Cython JIT kernel

- Add detailed error message when a dynamic symbolic dimension is not found in dynamic_symbolic_map
- Improve debugging by providing context about missing symbolic dimensions
- Maintain existing dynamic shape resolution logic

* Fix Copy operation handling for scalar and multi-dimensional tensors

- Add special handling for scalar tensor copy operations
- Enhance error reporting in MakeIndices method with more detailed diagnostic information
- Improve SIMT loop generation to support zero-dimensional tensors
- Add explicit check and handling for scalar tensor scenarios

* Refactor Copy operation code formatting and improve readability

- Improve code formatting in MakeIndices and MakeSIMTLoop methods
- Add line breaks to enhance readability of complex ICHECK statements
- Simplify code structure in scalar tensor handling
- Remove unnecessary whitespace and improve code alignment

* README.md fixed

* test fix

* cpu backend update

* cpu test case

* README.md fixed

* update test ci

* Lint and Typo Fix

* Clang Format Lint Fix

* 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>