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synced 2026-03-27 09:41:25 +08:00
Revert the mixin changes
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b03d1a04a8
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@ -820,34 +820,7 @@ class Qwen2VLMultiModalDataParser(MultiModalDataParser):
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return super()._parse_video_data(data)
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class QwenVLSeriesProcessingInfoMixin:
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"""
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Mixin that provides get_num_mm_encoder_tokens()
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and get_num_mm_connector_tokens() methods for
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QwenVL series models without affecting other multi-modal models.
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"""
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def get_num_mm_encoder_tokens(
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self,
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num_image_tokens: int,
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) -> int:
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hf_config = self.get_hf_config()
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vision_config = hf_config.vision_config
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merge_size = vision_config.spatial_merge_size
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return num_image_tokens * merge_size**2
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def get_num_mm_connector_tokens(
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self,
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num_vision_tokens: int,
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) -> int:
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hf_config = self.get_hf_config()
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vision_config = hf_config.vision_config
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merge_size = vision_config.spatial_merge_size
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return num_vision_tokens // merge_size**2
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class Qwen2VLProcessingInfo(QwenVLSeriesProcessingInfoMixin, BaseProcessingInfo):
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class Qwen2VLProcessingInfo(BaseProcessingInfo):
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def get_hf_config(self):
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return self.ctx.get_hf_config(Qwen2VLConfig)
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@ -1131,6 +1104,25 @@ class Qwen2VLMultiModalProcessor(BaseMultiModalProcessor[Qwen2VLProcessingInfo])
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for modality in ("image", "video")
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]
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def get_num_mm_encoder_tokens(
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self,
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num_image_tokens: int,
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) -> int:
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hf_config = self.get_hf_config()
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vision_config = hf_config.vision_config
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merge_size = vision_config.spatial_merge_size
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return num_image_tokens * merge_size**2
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def get_num_mm_connector_tokens(
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self,
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num_vision_tokens: int,
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) -> int:
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hf_config = self.get_hf_config()
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vision_config = hf_config.vision_config
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merge_size = vision_config.spatial_merge_size
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return num_vision_tokens // merge_size**2
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def _get_mm_fields_config(
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self,
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hf_inputs: BatchFeature,
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@ -1412,6 +1412,28 @@ class BaseMultiModalProcessor(ABC, Generic[_I]):
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"""
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raise NotImplementedError
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def get_num_mm_encoder_tokens(
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self,
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num_image_tokens: int,
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) -> int:
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"""
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Implement this function to enable LoRA support
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for the tower module of the multi-modal model
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Given the number of image tokens, output the number of multi-modal encoder tokens
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"""
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raise NotImplementedError
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def get_num_mm_connector_tokens(
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self,
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num_vision_tokens: int,
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) -> int:
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"""
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Implement this function to enable LoRA support
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for the connector module of the multi-modal model
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Given the number of vision tokens, output the number of multi-modal connector tokens
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"""
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raise NotImplementedError
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def _bind_and_group_updates(
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self,
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prompt_updates: Sequence[PromptUpdate],
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