feat: update multimodal data handling in engine entrypoint (#8002)
Signed-off-by: Xinyuan Tong <justinning0323@outlook.com>
This commit is contained in:
@@ -46,9 +46,9 @@ from sglang.srt.managers.io_struct import (
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EmbeddingReqInput,
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GenerateReqInput,
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GetWeightsByNameReqInput,
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ImageDataItem,
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InitWeightsUpdateGroupReqInput,
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LoadLoRAAdapterReqInput,
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MultimodalDataInputFormat,
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ReleaseMemoryOccupationReqInput,
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ResumeMemoryOccupationReqInput,
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RpcReqInput,
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@@ -148,13 +148,9 @@ class Engine(EngineBase):
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# - List of images (one per request in a batch)
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# - List of lists of images (multiple images per request)
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# See also python/sglang/srt/utils.py:load_image for more details.
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image_data: Optional[
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Union[
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List[List[ImageDataItem]],
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List[ImageDataItem],
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ImageDataItem,
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]
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] = None,
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image_data: Optional[MultimodalDataInputFormat] = None,
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audio_data: Optional[MultimodalDataInputFormat] = None,
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video_data: Optional[MultimodalDataInputFormat] = None,
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return_logprob: Optional[Union[List[bool], bool]] = False,
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logprob_start_len: Optional[Union[List[int], int]] = None,
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top_logprobs_num: Optional[Union[List[int], int]] = None,
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@@ -187,6 +183,8 @@ class Engine(EngineBase):
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input_ids=input_ids,
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sampling_params=sampling_params,
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image_data=image_data,
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audio_data=audio_data,
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video_data=video_data,
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return_logprob=return_logprob,
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logprob_start_len=logprob_start_len,
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top_logprobs_num=top_logprobs_num,
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@@ -231,13 +229,9 @@ class Engine(EngineBase):
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# - List of images (one per request in a batch)
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# - List of lists of images (multiple images per request)
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# See also python/sglang/srt/utils.py:load_image for more details.
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image_data: Optional[
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Union[
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List[List[ImageDataItem]],
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List[ImageDataItem],
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ImageDataItem,
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]
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] = None,
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image_data: Optional[MultimodalDataInputFormat] = None,
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audio_data: Optional[MultimodalDataInputFormat] = None,
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video_data: Optional[MultimodalDataInputFormat] = None,
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return_logprob: Optional[Union[List[bool], bool]] = False,
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logprob_start_len: Optional[Union[List[int], int]] = None,
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top_logprobs_num: Optional[Union[List[int], int]] = None,
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@@ -272,6 +266,8 @@ class Engine(EngineBase):
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input_ids=input_ids,
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sampling_params=sampling_params,
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image_data=image_data,
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audio_data=audio_data,
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video_data=video_data,
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return_logprob=return_logprob,
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logprob_start_len=logprob_start_len,
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top_logprobs_num=top_logprobs_num,
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@@ -295,19 +291,20 @@ class Engine(EngineBase):
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def encode(
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self,
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prompt: Union[str, List[str], List[Dict], List[List[Dict]]],
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image_data: Optional[
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Union[
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List[List[Union[Image, str]]],
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List[Union[Image, str]],
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Union[Image, str],
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]
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] = None,
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image_data: Optional[MultimodalDataInputFormat] = None,
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audio_data: Optional[MultimodalDataInputFormat] = None,
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video_data: Optional[MultimodalDataInputFormat] = None,
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) -> Dict:
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"""
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The arguments of this function is the same as `sglang/srt/managers/io_struct.py::EmbeddingReqInput`.
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Please refer to `EmbeddingReqInput` for the documentation.
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"""
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obj = EmbeddingReqInput(text=prompt, image_data=image_data)
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obj = EmbeddingReqInput(
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text=prompt,
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image_data=image_data,
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audio_data=audio_data,
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video_data=video_data,
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)
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loop = asyncio.get_event_loop()
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generator = self.tokenizer_manager.generate_request(obj, None)
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ret = loop.run_until_complete(generator.__anext__())
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@@ -316,7 +313,9 @@ class Engine(EngineBase):
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async def async_encode(
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self,
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prompt: Union[str, List[str], List[Dict], List[List[Dict]]],
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image_data: Optional[Union[List[str], str]] = None,
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image_data: Optional[MultimodalDataInputFormat] = None,
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audio_data: Optional[MultimodalDataInputFormat] = None,
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video_data: Optional[MultimodalDataInputFormat] = None,
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) -> Dict:
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"""
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Asynchronous version of encode method.
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@@ -324,7 +323,12 @@ class Engine(EngineBase):
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The arguments of this function is the same as `sglang/srt/managers/io_struct.py::EmbeddingReqInput`.
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Please refer to `EmbeddingReqInput` for the documentation.
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"""
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obj = EmbeddingReqInput(text=prompt, image_data=image_data)
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obj = EmbeddingReqInput(
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text=prompt,
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image_data=image_data,
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audio_data=audio_data,
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video_data=video_data,
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)
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generator = self.tokenizer_manager.generate_request(obj, None)
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return await generator.__anext__()
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@@ -42,8 +42,21 @@ class SessionParams:
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drop_previous_output: Optional[bool] = None
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AudioDataItem = Union[str, Dict]
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ImageDataItem = Union[Image, str, Dict]
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# Type definitions for multimodal input data
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# Individual data item types for each modality
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ImageDataInputItem = Union[Image, str, Dict]
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AudioDataInputItem = Union[str, Dict]
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VideoDataInputItem = Union[str, Dict]
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# Union type for any multimodal data item
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MultimodalDataInputItem = Union[
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ImageDataInputItem, VideoDataInputItem, AudioDataInputItem
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]
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# Format types supporting single items, lists, or nested lists for batch processing
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MultimodalDataInputFormat = Union[
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List[List[MultimodalDataInputItem]],
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List[MultimodalDataInputItem],
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MultimodalDataInputItem,
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]
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@dataclass
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@@ -60,13 +73,11 @@ class GenerateReqInput:
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# - List of images (one per request in a batch)
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# - List of lists of images (multiple images per request)
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# See also python/sglang/srt/utils.py:load_image for more details.
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image_data: Optional[
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Union[List[List[ImageDataItem]], List[ImageDataItem], ImageDataItem]
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] = None
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# The audio input. Like image data, it can be a file name, a url, or base64 encoded string.
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audio_data: Optional[Union[List[AudioDataItem], AudioDataItem]] = None
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image_data: Optional[MultimodalDataInputFormat] = None
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# The video input. Like image data, it can be a file name, a url, or base64 encoded string.
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video_data: Optional[Union[List[List[str]], List[str], str]] = None
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video_data: Optional[MultimodalDataInputFormat] = None
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# The audio input. Like image data, it can be a file name, a url, or base64 encoded string.
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audio_data: Optional[MultimodalDataInputFormat] = None
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# The sampling_params. See descriptions below.
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sampling_params: Optional[Union[List[Dict], Dict]] = None
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# The request id.
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@@ -524,13 +535,11 @@ class EmbeddingReqInput:
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# - List of images (one per request in a batch)
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# - List of lists of images (multiple images per request)
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# See also python/sglang/srt/utils.py:load_image for more details.
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image_data: Optional[
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Union[List[List[Union[Image, str]]], List[Union[Image, str]], Union[Image, str]]
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] = None
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image_data: Optional[MultimodalDataInputFormat] = None
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# The video input. Like image data, it can be a file name, a url, or base64 encoded string.
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video_data: Optional[Union[List[str], str]] = None
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video_data: Optional[MultimodalDataInputFormat] = None
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# The audio input. Like image data, it can be a file name, a url, or base64 encoded string.
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audio_data: Optional[Union[List[str], str]] = None
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audio_data: Optional[MultimodalDataInputFormat] = None
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# The token ids for text; one can either specify text or input_ids.
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input_ids: Optional[Union[List[List[int]], List[int]]] = None
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# The request id.
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@@ -610,8 +619,6 @@ class EmbeddingReqInput:
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if self.is_cross_encoder_request:
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return EmbeddingReqInput(
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text=[self.text[i]] if self.text is not None else None,
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input_ids=None,
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image_data=None,
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sampling_params=self.sampling_params[i],
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rid=self.rid[i],
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is_cross_encoder_request=True,
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@@ -621,6 +628,8 @@ class EmbeddingReqInput:
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text=self.text[i] if self.text is not None else None,
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input_ids=self.input_ids[i] if self.input_ids is not None else None,
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image_data=self.image_data[i] if self.image_data is not None else None,
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audio_data=self.audio_data[i] if self.audio_data is not None else None,
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video_data=self.video_data[i] if self.video_data is not None else None,
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sampling_params=self.sampling_params[i],
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rid=self.rid[i],
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)
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@@ -8,7 +8,7 @@ from transformers.tokenization_utils_base import PreTrainedTokenizerBase
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from sglang.srt.managers.io_struct import (
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EmbeddingReqInput,
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GenerateReqInput,
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ImageDataItem,
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ImageDataInputItem,
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)
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from sglang.srt.managers.schedule_batch import Modality, MultimodalDataItem
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from sglang.srt.models.vila import VILAForConditionalGeneration
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@@ -42,7 +42,7 @@ class VILAMultimodalProcessor(BaseMultimodalProcessor):
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async def process_mm_data_async(
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self,
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image_data: Optional[ImageDataItem | List[ImageDataItem]],
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image_data: Optional[ImageDataInputItem | List[ImageDataInputItem]],
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input_text: str | List[int],
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request_obj: GenerateReqInput | EmbeddingReqInput,
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max_req_input_len: int,
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