Xinyuan Tong
7e831efee8
Signed-off-by: Xinyuan Tong <justinning0323@outlook.com> Signed-off-by: Xinyuan Tong <xinyuantong.cs@gmail.com>
72 lines
2.7 KiB
Python
72 lines
2.7 KiB
Python
# Copyright 2025 SGLang Team
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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from typing import Dict, List, Optional, Union
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from sglang.srt.managers.multimodal_processor import (
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BaseMultimodalProcessor as SGLangBaseProcessor,
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)
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from sglang.srt.models.gemma3n_mm import Gemma3nForConditionalGeneration
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from sglang.srt.multimodal.processors.base_processor import MultimodalSpecialTokens
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class Gemma3nSGLangProcessor(SGLangBaseProcessor):
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"""Multimodal processor for Gemma3n supporting image and audio inputs."""
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models = [Gemma3nForConditionalGeneration]
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def __init__(self, hf_config, server_args, _processor, *args, **kwargs):
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super().__init__(hf_config, server_args, _processor, *args, **kwargs)
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self.IM_START_TOKEN_ID = hf_config.boi_token_id
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self.IM_END_TOKEN_ID = hf_config.eoi_token_id
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self.AUDIO_START_TOKEN_ID = hf_config.boa_token_id
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self.AUDIO_END_TOKEN_ID = hf_config.eoa_token_id
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self.mm_tokens = MultimodalSpecialTokens(
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image_token="<image_soft_token>",
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image_token_id=hf_config.image_token_id,
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audio_token="<audio_soft_token>",
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audio_token_id=hf_config.audio_token_id,
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).build(_processor)
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async def process_mm_data_async(
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self,
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image_data: Optional[List[Union[str, bytes, Dict]]] = None,
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audio_data: Optional[List[Union[str, bytes, Dict]]] = None,
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input_text: str = "",
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request_obj=None,
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*args,
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**kwargs,
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):
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"""Process multimodal data including images and audio."""
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base_output = self.load_mm_data(
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prompt=input_text,
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image_data=image_data,
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audio_data=audio_data,
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multimodal_tokens=self.mm_tokens,
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)
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mm_items, input_ids, _ = self.process_and_combine_mm_data(
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base_output, self.mm_tokens
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)
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return {
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"input_ids": input_ids.tolist(),
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"mm_items": mm_items,
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# TODO(mick): could we return MultimodalSpecialTokens directly?
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"im_token_id": self.mm_tokens.image_token_id,
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"audio_token_id": self.mm_tokens.audio_token_id,
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}
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