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[Misc] Automatically resolve HF processor init kwargs (#22005)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2025-08-01 13:44:10 +08:00
committed by GitHub
parent ad57f23f6a
commit 82de9b9d46
40 changed files with 334 additions and 727 deletions
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28
vllm/model_executor/models/internvl.py
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@@ -665,14 +665,7 @@ class BaseInternVLProcessingInfo(BaseProcessingInfo):
"""Basic image-only ProcessingInfo for InternVL-style models."""
@abstractmethod
def get_hf_processor(
self,
*,
min_dynamic_patch: Optional[int] = None,
max_dynamic_patch: Optional[int] = None,
dynamic_image_size: Optional[bool] = None,
**kwargs: object,
) -> BaseInternVLProcessor:
def get_hf_processor(self, **kwargs: object) -> BaseInternVLProcessor:
raise NotImplementedError
def get_supported_mm_limits(self) -> Mapping[str, Optional[int]]:
@@ -882,27 +875,12 @@ class InternVLProcessingInfo(BaseInternVLProcessingInfo):
return max(max_frames_per_video, 1)
def get_hf_processor(
self,
*,
min_dynamic_patch: Optional[int] = None,
max_dynamic_patch: Optional[int] = None,
dynamic_image_size: Optional[bool] = None,
**kwargs: object,
) -> InternVLProcessor:
if min_dynamic_patch is not None:
kwargs["min_dynamic_patch"] = min_dynamic_patch
if max_dynamic_patch is not None:
kwargs["max_dynamic_patch"] = max_dynamic_patch
if dynamic_image_size is not None:
kwargs["dynamic_image_size"] = dynamic_image_size
kwargs["video_token"] = self.get_video_token()
def get_hf_processor(self, **kwargs: object) -> InternVLProcessor:
return self.ctx.init_processor(
InternVLProcessor,
config=self.get_hf_config(),
tokenizer=self.get_tokenizer(),
video_token=self.get_video_token(),
**kwargs,
)