code: def setup_task(cls, cfg):
      run_cfg = cfg.run_cfg
  
      num_beams = run_cfg.get("num_beams", 3)
      max_len = run_cfg.get("max_len", 10)
      min_len = run_cfg.get("min_len", 1)
  
      evaluate = run_cfg.get("evaluate", False)
  
      inference_method = run_cfg.get("inference_method", "rank")
      num_ans_candidates = run_cfg.get("num_ans_candidates", 128)
  
      prompt = run_cfg.get("prompt", "")
  
      # generalize to non coco data
      sample_id_key = run_cfg.get("sample_id_key", "instance_id")
      ques_files = run_cfg.get("ques_files", dict())
      anno_files = run_cfg.get("anno_files", dict())
      valid_splits = run_cfg.get("valid_splits", ["val"])
  
      return cls(
          num_beams=num_beams,
          max_len=max_len,
          min_len=min_len,
          evaluate=evaluate,
          num_ans_candidates=num_ans_candidates,
          inference_method=inference_method,
          prompt=prompt,
          sample_id_key=sample_id_key,
          ques_files=ques_files,
          anno_files=anno_files,
          valid_splits=valid_splits,
      )
  
imports: import logging
  import json
  import os
  import torch
  from tqdm import tqdm
  from lavis.common.utils import is_convertible_to_int
  import lavis.common.dist_utils
  from lavis.common.registry import registry
  from lavis.common.vqa_tools.vqa import VQA
  from lavis.common.vqa_tools.vqa_eval import VQAEval
  from lavis.tasks.base_task import BaseTask
label_desc: Use image node_id 2 for calling the VQATask obj's underlying member method code with example usage: obj.setup_task(cls, cfg) and returns: cls