[Dev] Add test case for bfloat16 and int4 gemm with mma #65
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…ate CUDA type printing for better clarity
…consistency and clarity; add apply_simplify function to simplify PrimFunc or IRModule.
…remove unnecessary whitespace in multiple files.
…to use 'tilelang.language' for consistency
…_tilelang_kernel_gemm_mma_intrinsic.py
…r result validation in test_tilelang_kernel_gemm_mma_intrinsic.py
…at Peking University
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This pull request introduces new functionality for supporting
bfloat16data type in matrix multiplication tests using the TileLang library. The most important changes include the addition of a new test file, modifications to existing test functions, and updates to the data type mapping.Support for
bfloat16data type:testing/python/kernel/test_tilelang_kernel_bf16_gemm_mma.py: Added a new test file to include comprehensive tests forbfloat16data type in matrix multiplication. This file contains functions to generate swizzle layouts, perform matrix multiplication using Tensor Core intrinsics, and validate the correctness of the results.Enhancements to existing tests:
testing/python/kernel/test_tilelang_kernel_gemm_mma_intrinsic.py: Updated thetl_matmulfunction to includebfloat16as a supported input data type.testing/python/kernel/test_tilelang_kernel_gemm_mma_intrinsic.py: Added a new test case to thetest_assert_tl_matmulfunction to validate matrix multiplication withbfloat16input andfloat32output.