Fix launch error under Pytorch 2.6

[lejunzhu-amd]

When launching vllm in Pytorch 2.6 environment, the following error occurs:

...
File "/opt/vllm/vllm/utils.py", line 2278, in direct_register_custom_op
  schema_str = torch.library.infer_schema(op_func,
...
ValueError: infer_schema(func): Parameter block_shape has unsupported type typing.Optional[list[int]]. The valid types are: dict_keys([<class 'torch.Tensor'>, typing.Optional[torch.Tensor], typing.Sequence[torch.Tensor], typing.List[torch.Tensor], typing.Sequence[typing.Optional[torch.Tensor]], typing.List[typing.Optional[torch.Tensor]], <class 'int'>, typing.Optional[int], typing.Sequence[int], typing.List[int], typing.Optional[typing.Sequence[int]], typing.Optional[typing.List[int]], <class 'float'>, typing.Optional[float], typing.Sequence[float], typing.List[float], typing.Optional[typing.Sequence[float]], typing.Optional[typing.List[float]], <class 'bool'>, typing.Optional[bool], typing.Sequence[bool], typing.List[bool], typing.Optional[typing.Sequence[bool]], typing.Optional[typing.List[bool]], <class 'str'>, typing.Optional[str], typing.Union[int, float, bool], typing.Union[int, float, bool, NoneType], typing.Sequence[typing.Union[int, float, bool]], typing.List[typing.Union[int, float, bool]], <class 'torch.dtype'>, typing.Optional[torch.dtype], <class 'torch.device'>, typing.Optional[torch.device]]). Got func with signature (hidden_states: torch.Tensor, w1: torch.Tensor, w2: torch.Tensor, topk_weights: torch.Tensor, topk_ids: torch.Tensor, fc1_scale: Optional[torch.Tensor] = None, fc2_scale: Optional[torch.Tensor] = None, fc1_smooth_scale: Optional[torch.Tensor] = None, fc2_smooth_scale: Optional[torch.Tensor] = None, a16: bool = False, per_tensor_quant_scale: Optional[torch.Tensor] = None, block_shape: Optional[list[int]] = None, expert_mask: Optional[torch.Tensor] = None, activation_method: int = 0) -> torch.Tensor)

Fix it by replacing list[int] with typing.List[int] in the custom registered ops.

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