[Dev] Support Tile Lang INT8xINT8 TensorCore Macro #231
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- Adjusted the local fragment sizes for tensor core memory allocation in the MatmulFineGrainScheduler class. - Updated the allocation sizes for A_local, B_local, and C_local variables based on the new fragment sizes. - The changes ensure efficient memory utilization and improve performance. Refactor tensor core memory allocation in MatmulDequantizeFineGrainedScheduler - Modified the fragment sizes for tensor core memory allocation in the MatmulDequantizeFineGrainedScheduler class. - Updated the allocation sizes for A_frag, B_frag, and C_frag variables based on the new fragment sizes. - The changes optimize memory usage and enhance the efficiency of the dequantization process. Refactor tensor core memory allocation in MatmulDequantizeWeightPropagationScheduler - Adjusted the fragment sizes for tensor core memory allocation in the MatmulDequantizeWeightPropagationScheduler class. - Updated the allocation sizes for A_frag, B_frag, B_dequantize_frag, and C_frag variables based on the new fragment sizes. - The changes improve memory utilization and optimize the weight propagation process.
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This pull request includes various changes across multiple files, primarily focusing on code refactoring, bug fixes, and updates to submodule references. The most important changes include updating the submodule branch reference, adding new decorator functions, refactoring class methods, and fixing layout functions.
Submodule updates:
.gitmodules: Changed the branch for thetvmsubmodule fromtilelangtoupstream.3rdparty/tvm: Updated the submodule commit reference.Code refactoring and improvements:
bitblas/ops/base_scheduler.py: Added a new decorator functionsimplify_prim_functo simplify the output of functions.bitblas/tl/macro_generator.py: Refactored theTensorCoreIntrinEmitterclass to improve readability and maintainability by restructuring method definitions and adding new methodsldmatrix_a,ldmatrix_b,mma, andstmatrix. [1] [2] [3] [4] [5]Bug fixes:
bitblas/tl/mma_layout.py: Corrected the function names for layout transformations fromldmatrix_32x16_to_shared_16x32_layout_*toldmatrix_16x32_to_shared_16x32_layout_*.bitblas/tl/utils.py: Updated layout transformation function references and fixed theget_ldmatrix_offsetfunction to handle different data types correctly. [1] [2]Linting script update:
format.sh: Modified the lint function to useruff checkinstead ofruff.