[TL][BugFix] Add implementation of TL Gemm and Fix a bug for TL Jit #195
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This pull request introduces several new features and improvements to the
bitblaslibrary, including new matrix multiplication implementations, utility functions, and test cases. The most important changes include the addition of new matrix multiplication functions, utility functions for tensor core operations, and test cases to ensure correctness.New Matrix Multiplication Implementations:
bitblas/ops/general_matmul/tilelang/dense/matmul.py: Addedmatmul_blockedandmatmul_macro_tensorcorefunctions for efficient matrix multiplication using tensor cores.Utility Functions for Tensor Core Operations:
bitblas/tl/mma_layout.py: Introduced various layout transformation functions for tensor core operations.bitblas/tl/utils.py: Added utility functionsget_mma_micro_sizeandmake_swizzle_layoutto support tensor core operations. [1] [2]Test Cases:
testing/python/operators/test_general_matmul_tilelang_impl.py: Added test cases to validate the correctness of the new matrix multiplication functions.testing/python/tilelang/test_tilelang_dequantize_gemm.py: Updated test cases to include new tensor core operations and layout transformations. [1] [2] [3]Other Changes:
bitblas/ops/general_matmul/tilelang/dense/__init__.py: Added an import statement for the new matrix multiplication function.3rdparty/tvm: Updated the submodule commit reference.