code: def model_timing(model):
      st = time.time()
      for _ in range(20):
          batch = torch.rand([64, 3, 224, 224])
          y = model(batch)
      return time.time() - st
  
imports: import copy
  import tensorwatch
  import torchvision.models
  import torch
  import time
label_desc: Use image node_id 1 for calling a global function with example usage: model_timing(model) and returns: unknown