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[DEV][TL] Support AMD Matrix Code Implementation #237
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This pull request includes significant changes to the
bitblas
package, primarily focusing on restructuring the initialization process and improving the layout functions. The most important changes include updating submodule references, refactoring the initialization script, and adding new layout functions.Submodule Update:
tvm
submodule to a new commit. (3rdparty/tvm
)Initialization Refactor:
bitblas/__init__.py
file to streamline environment variable setup and module imports. This includes removing redundant code and reorganizing the import statements. [1] [2]Logging Improvements:
bitblas/__init__.py
)Import Path Updates:
mma_macro_generator
module.bitblas/ops/general_matmul/tilelang/dense/matmul_tensorcore.py
bitblas/ops/general_matmul/tilelang/dense/matmul_tensorcore_s4.py
bitblas/ops/general_matmul/tilelang/dequantize/finegrained_primitive_tensorcore.py
bitblas/ops/general_matmul/tilelang/dequantize/finegrained_primitive_tensorcore_s4.py
bitblas/ops/general_matmul/tilelang/dequantize/ladder_weight_transform_tensorcore.py
bitblas/ops/general_matmul/tilelang/dequantize/ladder_weight_transform_tensorcore_s4.py
bitblas/tl/__init__.py
New Layout Functions:
bitblas/tl/base_layout.py
andbitblas/tl/mfma_layout.py
. These functions facilitate efficient memory access patterns for tensor operations.bitblas/tl/base_layout.py
bitblas/tl/mfma_layout.py