code: def main(args):
      model = load_checkpoint(args)
      loader = make_eval_loader(args.dataset, args)
      evaluate(model, loader, args)
  
file_path: vision/references/depth/stereo/cascade_evaluation.py
imports: import os
  import warnings
  import torch
  import torchvision
  import torchvision.prototype.models.depth.stereo
  import utils
  from torch.nn import functional
  from train import make_eval_loader
  from utils.metrics import AVAILABLE_METRICS
  from visualization import make_prediction_image_side_to_side
label_desc: Use image node_id 6 for calling a global function with example usage: main(args) without return types