# Copyright (c) 2023-2024 DeepSeek.
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import torch

from sglang.srt.managers.multimodal_processors.base_processor import (
    BaseMultimodalProcessor,
    MultimodalSpecialTokens,
)
from sglang.srt.managers.schedule_batch import Modality, MultimodalDataItem
from sglang.srt.models.deepseek_vl2 import DeepseekVL2ForCausalLM


class DeepseekVL2ImageProcessor(BaseMultimodalProcessor):
    models = [DeepseekVL2ForCausalLM]

    def __init__(self, hf_config, server_args, _processor):
        super().__init__(hf_config, server_args, _processor)
        self.IMAGE_TOKEN = "<image>"

    async def process_mm_data_async(
        self, image_data, input_ids, request_obj, max_req_input_len, *args, **kwargs
    ):
        if not image_data:
            return None

        if not isinstance(image_data, list):
            image_data = [image_data]

        image_token = self.IMAGE_TOKEN
        base_output = self.load_mm_data(
            input_ids,
            image_data=image_data,
            multimodal_tokens=MultimodalSpecialTokens(image_token=image_token),
            max_req_input_len=max_req_input_len,
        )
        res = self.process_mm_data(
            input_text=base_output.input_text,
            images=base_output.images,
            max_req_input_len=max_req_input_len,
            conversations=base_output.input_text,
        )
        images_seq_mask = res["images_seq_mask"]
        images_spatial_crop = res["images_spatial_crop"]
        batched_images_spatial_crop = []
        batched_images_spatial_crop.append(images_spatial_crop)
        batched_images_spatial_crop = torch.stack(batched_images_spatial_crop, dim=0)

        items = []
        item = MultimodalDataItem(
            pixel_values=res["images"],
            modality=Modality.IMAGE,
            image_emb_mask=images_seq_mask,
            image_spatial_crop=batched_images_spatial_crop,
        )
        items += [item]

        return {
            "mm_items": items,
            "input_ids": res["input_ids"].tolist(),
            "im_token_id": self._processor.image_token_id,
        }
