update List[int]

vllm/model_executor/layers/fused_moe/fused_moe.py

@@ -1120,7 +1120,7 @@ def flashinfer_fused_moe_blockscale_fp8(
         intermediate_size: int,
         expert_offset: int,
         local_num_experts: int,
-        block_shape: list[int],
+        block_shape: List[int],
         routed_scaling: float = 1.0) -> torch.Tensor:
     from vllm.utils.flashinfer import flashinfer_trtllm_fp8_block_scale_moe
     assert top_k <= global_num_experts
@@ -1173,7 +1173,7 @@ def flashinfer_fused_moe_blockscale_fp8_fake(
         intermediate_size: int,
         expert_offset: int,
         local_num_experts: int,
-        block_shape: list[int],
+        block_shape: List[int],
         routed_scaling: float = 1.0) -> torch.Tensor:
     return torch.empty_like(x)