Ensure backward compatibility with PyTorch 2.2

[yeahdongcn]

While testing with torch_musa from PyTorch 2.2, I encountered an issue when loading weights to the GPU:

  File "/ws/./ktransformers/util/custom_gguf.py", line 674, in dequantize_q6_k_gpu
    return KTransformersOps.dequantize_q6_k(c_pointer, data.size, block_size, ele_per_blk, device, target_dtype)
TypeError: dequantize_q6_k(): incompatible function arguments. The following argument types are supported:
    1. (data: int, num_bytes: int, blk_size: int, ele_per_blk: int, device: torch.device, target_dtype: torch._C._te.ScalarType) -> torch.Tensor

This PR ensures backward compatibility with Torch 2.2 and fixes a mismatched parameter type in the header file.

Testing Done

• make dev_install
• Verified weight loading to CPU/GPU using python ./ktransformers/local_chat.py ...

[Atream]

Merged. Thank you for your contribution!