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[Chore] Remove v0 dead code for Qwen2.5-omni (#30883)

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Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
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Isotr0py 2025-12-18 11:54:39 +08:00 committed by GitHub
parent bc3700e0cd
commit 6fe5887652
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1 changed files with 0 additions and 22 deletions
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vllm/model_executor/models/qwen2_5_omni_thinker.py
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@ -70,7 +70,6 @@ from vllm.multimodal.inputs import (
MultiModalFeatureSpec,
MultiModalFieldConfig,
MultiModalKwargsItems,
NestedTensors,
)
from vllm.multimodal.parse import (
AudioProcessorItems,
@ -1150,27 +1149,6 @@ class Qwen2_5OmniThinkerForConditionalGeneration(
handle_oov_mm_token=handle_oov_mm_token,
)
def embed_multimodal_v0(self, **kwargs: object) -> NestedTensors | None:
audio_input = self._parse_and_validate_audio_input(**kwargs)
image_input = self._parse_and_validate_image_input(**kwargs)
video_input = self._parse_and_validate_video_input(**kwargs)
if audio_input is None and image_input is None and video_input is None:
return None
multimodal_embeddings: list[tuple[NestedTensors, str]] = []
if audio_input is not None:
audio_embeds = self._process_audio_input(audio_input)
multimodal_embeddings.append((audio_embeds, "audio"))
if image_input is not None:
image_embeds = self._process_image_input(image_input)
multimodal_embeddings.append((image_embeds, "image"))
if video_input is not None:
video_embeds = self._process_video_input(video_input)
multimodal_embeddings.append((video_embeds, "video"))
return multimodal_embeddings
def forward(
self,
input_ids: torch.Tensor,