text: import torch
  from tqdm import tqdm
  import json
  
  from libs.model import handpose_model
  
  model = handpose_model()
  
  size = {}
  for i in tqdm(range(10, 1000)):
      data = torch.randn(1, 3, i, i)
      if torch.cuda.is_available():
          data = data.cuda()
      size[i] = model(data).size(2)
  
  with open('hand_model_output_size.json') as f:
      json.dump(size, f)
  