[CI] Fix Pre-commit Issue (#25497)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

vllm/v1/worker/gpu_model_runner.py

@@ -2367,7 +2367,7 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
         sampling_metadata: SamplingMetadata,
         hidden_states: torch.Tensor,
         sample_hidden_states: torch.Tensor,
-        aux_hidden_states: Optional[torch.Tensor],
+        aux_hidden_states: Optional[list[torch.Tensor]],
         spec_decode_metadata: Optional[SpecDecodeMetadata],
         common_attn_metadata: CommonAttentionMetadata,
     ) -> Union[list[list[int]], torch.Tensor]:
@@ -2387,6 +2387,7 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
             else:
                 indices = []
                 offset = 0
+                assert spec_decode_metadata is not None
                 for num_draft, tokens in zip(
                         spec_decode_metadata.num_draft_tokens,
                         sampled_token_ids):
@@ -2437,6 +2438,7 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
                 # TODO(woosuk): Support M-RoPE.
                 target_positions = self.positions.gpu[:num_scheduled_tokens]
                 if self.use_aux_hidden_state_outputs:
+                    assert aux_hidden_states is not None
                     target_hidden_states = torch.cat(
                         [h[:num_scheduled_tokens] for h in aux_hidden_states],
                         dim=-1)
@@ -2462,6 +2464,7 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
                 # TODO(woosuk): Support M-RoPE.
                 target_positions = self.positions.gpu[token_indices]
                 if self.use_aux_hidden_state_outputs:
+                    assert aux_hidden_states is not None
                     target_hidden_states = torch.cat(
                         [h[token_indices] for h in aux_hidden_states], dim=-1)
                 else:
@@ -2897,7 +2900,9 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
             assert not create_mixed_batch
             num_reqs = cdiv(num_tokens, max_query_len)
             assert num_reqs <= max_num_reqs, \
-                "Do not capture num_reqs > max_num_reqs for uniform batch"
+                f"Do not capture num_reqs {num_reqs} > max_num_reqs " \
+                f"{max_num_reqs} for uniform batch. Num tokens: " \
+                f"{num_tokens}, max_query_len: {max_query_len}"
             num_scheduled_tokens_list = [max_query_len] * num_reqs
             if num_tokens % max_query_len != 0:
                 num_scheduled_tokens_list[-1] = num_tokens % max_query_len