Remove unused kwargs from model definitions (#13555)

This commit is contained in:
Harry Mellor
2025-02-25 01:13:52 +00:00
committed by GitHub
parent f61528d46d
commit cdc1fa12eb
104 changed files with 436 additions and 1654 deletions

View File

@@ -1,7 +1,7 @@
# SPDX-License-Identifier: Apache-2.0
from functools import cached_property
from typing import (Iterable, List, Literal, Mapping, Optional, Set, Tuple,
from typing import (Iterable, Literal, Mapping, Optional, Set, Tuple,
TypedDict, Union)
import torch
@@ -9,7 +9,6 @@ import torch.nn as nn
from transformers import (BatchFeature, Blip2Config, Blip2QFormerConfig,
apply_chunking_to_forward)
from vllm.attention import AttentionMetadata
from vllm.config import CacheConfig, VllmConfig
from vllm.model_executor.layers.activation import get_act_fn
from vllm.model_executor.layers.quantization import QuantizationConfig
@@ -658,8 +657,6 @@ class Blip2ForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP):
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,
@@ -708,8 +705,6 @@ class Blip2ForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP):
hidden_states = self.language_model.model(input_ids,
positions,
kv_caches,
attn_metadata,
intermediate_tensors,
inputs_embeds=inputs_embeds)