[Bugfix] Enhance LowerAsyncCopy Pass to handle INT8 dma copy with predicate

[LeiWang1999]

This pull request includes several changes across multiple files to enhance error handling, improve GPU matrix multiplication logic, and update integration benchmarks. The most important changes include increasing the maximum error message length, refining the logic for GPU matrix operations, and updating integration benchmarks.

Error Handling Improvements:

• Increased MAX_ERROR_MESSAGE_LENGTH from 200 to 500 in bitblas/common.py.

GPU Matrix Multiplication Logic Enhancements:

• Refined the condition to check block_reduction_depth and added a default value of 1 if block_reduction_depth is None in bitblas/gpu/matmul_mma_dequantize.py. [1] [2]
• Updated thread binding and loop splitting logic based on the reduce_k value in bitblas/gpu/matmul_mma_dequantize.py. [1] [2] [3] [4] [5] [6] [7] [8]

Integration Benchmark Updates:

• Updated integration benchmarks to use model.quantize() and torch.compile(model) in integration/BitNet/benchmark_inference_latency.py.

Import Optimization:

• Optimized imports in integration/pytorch/bitblas_linear.py by updating the import statement for MatmulConfig and Matmul.

Submodule Update:

• Updated the submodule commit for 3rdparty/tvm.

Ref to Issue #218