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[Enhancement] Enhancing the handling of conditional statements in the pipeline (#201)
* 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 * Simplify GEMM example with direct kernel compilation - Update copyright header to Tile-AI Corporation - Remove Profiler import and usage - Replace tilelang.lower() with tilelang.compile() - Simplify kernel execution workflow - Update kernel source retrieval method * Enhance block sparse attention implementation - Update `blocksparse_flashattn` to use 2 stages for improved performance. - Change `block_mask_dtype` from `int8` to `bool` for better memory efficiency. - Modify condition checks in the kernel to utilize boolean values. - Introduce a new example for top-k sparse attention and a benchmark for native sparse attention. - Add support for asynchronous copy in PTX and improve pipeline planning with condition handling. * Refactor and clean up code formatting across multiple files - Added whitespace for improved readability in `example_blocksparse_gemm.py`, `example_tilelang_nsa_fwd.py`, and `benchmark_nsa_fwd.py`. - Enhanced code structure and alignment in `inject_ptx_async_copy.cc` and `pipeline_planning.cc`. - Updated comments and documentation for clarity in `__init__.py` and `phase.py`. - Ensured consistent formatting and style across the codebase. * Add kernel source printing in example_tilelang_nsa_fwd.py and implement IfThenElse node replacement in inject_pipeline.cc - Added a print statement to output the kernel source in `example_tilelang_nsa_fwd.py` for debugging purposes. - Introduced a new function `replace_if_then_else` in `inject_pipeline.cc` to transform IfThenElse nodes while preserving attributes, enhancing the handling of conditional statements in the pipeline. * Refactor condition handling in inject_pipeline.cc - Change the data structure for mapping conditions to statements from a Map to an Array for improved performance and simplicity. - Update condition comparison logic to use StructuralEqual for better accuracy. - Enhance logging to provide detailed insights into condition changes and statement processing. - Adjust final statement construction to utilize the new data structure, ensuring correct handling of conditions and statements. * Improve logging and formatting in inject_pipeline.cc - Enhance logging statements for better clarity on condition changes and statement processing. - Adjust formatting for improved readability, including line breaks and consistent spacing. - Ensure accurate condition comparison and handling in the pipeline logic. * Refactor logging and clean up inject_pipeline.cc - Remove excessive logging statements to streamline the code and improve performance. - Simplify condition handling by eliminating unnecessary log outputs related to condition changes and statement processing. - Maintain the core functionality while enhancing code readability and maintainability.
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