code: def load_preprocess(config):
      """
      Load preprocessor configs and construct preprocessors.
  
      If no preprocessor is specified, return BaseProcessor, which does not do any preprocessing.
  
      Args:
          config (dict): preprocessor configs.
  
      Returns:
          vis_processors (dict): preprocessors for visual inputs.
          txt_processors (dict): preprocessors for text inputs.
  
          Key is "train" or "eval" for processors used in training and evaluation respectively.
      """
  
      def _build_proc_from_cfg(cfg):
          return (
              registry.get_processor_class(cfg.name).from_config(cfg)
              if cfg is not None
              else BaseProcessor()
          )
  
      vis_processors = dict()
      txt_processors = dict()
  
      vis_proc_cfg = config.get("vis_processor")
      txt_proc_cfg = config.get("text_processor")
  
      if vis_proc_cfg is not None:
          vis_train_cfg = vis_proc_cfg.get("train")
          vis_eval_cfg = vis_proc_cfg.get("eval")
      else:
          vis_train_cfg = None
          vis_eval_cfg = None
  
      vis_processors["train"] = _build_proc_from_cfg(vis_train_cfg)
      vis_processors["eval"] = _build_proc_from_cfg(vis_eval_cfg)
  
      if txt_proc_cfg is not None:
          txt_train_cfg = txt_proc_cfg.get("train")
          txt_eval_cfg = txt_proc_cfg.get("eval")
      else:
          txt_train_cfg = None
          txt_eval_cfg = None
  
      txt_processors["train"] = _build_proc_from_cfg(txt_train_cfg)
      txt_processors["eval"] = _build_proc_from_cfg(txt_eval_cfg)
  
      return vis_processors, txt_processors
  
imports: import logging
  import torch
  from omegaconf import OmegaConf
  from lavis.common.registry import registry
  from lavis.models.base_model import BaseModel
  from lavis.models.albef_models.albef_classification import AlbefClassification
  from lavis.models.albef_models.albef_feature_extractor import AlbefFeatureExtractor
  from lavis.models.albef_models.albef_nlvr import AlbefNLVR
  from lavis.models.albef_models.albef_pretrain import AlbefPretrain
  from lavis.models.albef_models.albef_retrieval import AlbefRetrieval
  from lavis.models.albef_models.albef_vqa import AlbefVQA
  from lavis.models.alpro_models.alpro_qa import AlproQA
  from lavis.models.alpro_models.alpro_retrieval import AlproRetrieval
  from lavis.models.blip_models.blip import BlipBase
  from lavis.models.blip_models.blip_caption import BlipCaption
  from lavis.models.blip_models.blip_classification import BlipClassification
  from lavis.models.blip_models.blip_feature_extractor import BlipFeatureExtractor
  from lavis.models.blip_models.blip_image_text_matching import BlipITM
  from lavis.models.blip_models.blip_nlvr import BlipNLVR
  from lavis.models.blip_models.blip_pretrain import BlipPretrain
  from lavis.models.blip_models.blip_retrieval import BlipRetrieval
  from lavis.models.blip_models.blip_vqa import BlipVQA
  from lavis.models.blip2_models.blip2 import Blip2Base
  from lavis.models.blip2_models.blip2_opt import Blip2OPT
  from lavis.models.blip2_models.blip2_t5 import Blip2T5
  from lavis.models.blip2_models.blip2_qformer import Blip2Qformer
  from lavis.models.blip2_models.blip2_image_text_matching import Blip2ITM
  from lavis.models.blip2_models.blip2_t5_instruct import Blip2T5Instruct
  from lavis.models.blip2_models.blip2_vicuna_instruct import Blip2VicunaInstruct
  from lavis.models.blip2_models.blip2_vicuna_xinstruct import Blip2VicunaXInstruct
  from lavis.models.blip_diffusion_models.blip_diffusion import BlipDiffusion
  from lavis.models.pnp_vqa_models.pnp_vqa import PNPVQA
  from lavis.models.pnp_vqa_models.pnp_unifiedqav2_fid import PNPUnifiedQAv2FiD
  from lavis.models.img2prompt_models.img2prompt_vqa import Img2PromptVQA
  from lavis.models.med import XBertLMHeadDecoder
  from lavis.models.vit import VisionTransformerEncoder
  from lavis.models.clip_models.model import CLIP
  from lavis.models.gpt_models.gpt_dialogue import GPTDialogue
  from lavis.processors.base_processor import BaseProcessor
label_desc: Use image node_id 2 for calling a global function with example usage: load_preprocess(config) and returns: vis_processors,  txt_processors, unknown