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This PR includes:

  • INT4xINT2 Kernel Implementation and Correctness check
  • Fast Dequantize of INT4xINT2

TODO:

  • Integrate as a bitblas op.

- 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.
@LeiWang1999 LeiWang1999 merged commit 451b466 into microsoft:main Nov 3, 2024
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