Remove unused kwargs from model definitions (#13555)

vllm/model_executor/models/qwen2_audio.py

@@ -22,8 +22,8 @@
 # limitations under the License.
 """Inference-only Qwen2-Audio model compatible with HuggingFace weights."""
 from functools import cached_property
-from typing import (Any, Iterable, List, Mapping, Optional, Set, Tuple,
-                    TypedDict, Union)
+from typing import (Any, Iterable, Mapping, Optional, Set, Tuple, TypedDict,
+                    Union)
 
 import torch
 import torch.nn as nn
@@ -33,7 +33,6 @@ from transformers.models.qwen2_audio import (Qwen2AudioConfig,
                                              Qwen2AudioProcessor)
 from transformers.models.whisper import WhisperFeatureExtractor
 
-from vllm.attention import AttentionMetadata
 from vllm.config import VllmConfig
 from vllm.model_executor.layers.sampler import SamplerOutput, get_sampler
 from vllm.model_executor.sampling_metadata import SamplingMetadata
@@ -380,8 +379,6 @@ class Qwen2AudioForConditionalGeneration(nn.Module, SupportsMultiModal,
         self,
         input_ids: torch.Tensor,
         positions: torch.Tensor,
-        kv_caches: List[torch.Tensor],
-        attn_metadata: AttentionMetadata,
         intermediate_tensors: Optional[IntermediateTensors] = None,
         inputs_embeds: Optional[torch.Tensor] = None,
         **kwargs: object,
@@ -400,8 +397,6 @@ class Qwen2AudioForConditionalGeneration(nn.Module, SupportsMultiModal,
 
         hidden_states = self.language_model.model(input_ids,
                                                   positions,
-                                                  kv_caches,
-                                                  attn_metadata,
                                                   intermediate_tensors,
                                                   inputs_embeds=inputs_embeds)
         return hidden_states