[Dev] Update News in Readme #235
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This pull request introduces support for INT4 data types across various components of the BitBLAS library, including matrix multiplication and dequantization operations. The changes enhance the library's ability to handle mixed-precision operations and improve performance for certain data formats.
Enhancements and New Features:
INT4 Support in Matrix Multiplication:
bitblas/ops/general_matmul/__init__.pyand updated related configurations and initializations. [1] [2] [3] [4]bitblas/ops/general_matmul/tilelang/dense/__init__.pyandbitblas/ops/general_matmul/tilelang/dequantize/__init__.py. [1] [2] [3] [4] [5]Performance Optimization:
bitblas/ops/general_matmul/tilelang/dense/matmul_tensorcore.pyto optimize performance for INT4 and INT8 data types. [1] [2] [3] [4] [5] [6] [7]Codebase Maintenance:
bitblas/gpu/intrin/lop3.pyrelated to uint4 subtraction.bitblas/gpu/intrin/lop3.py. [1] [2] [3] [4] [5]Documentation Updates:
README.md. [1] [2]These changes collectively enhance the functionality and performance of the BitBLAS library, particularly in handling INT4 data types, and ensure that the documentation is up-to-date with the latest features.