code: def main():
      shapes = [(3, 3, 72, 64), (5, 3, 55, 18), (6, 3, 73, 35)]
      seeds = [0, 1, 2]
      images = []
      for shape, seed in zip(shapes, seeds):
          images.append(create_one_image(shape, seed))
  
      with open("dense_image_warp.pkl", "wb") as f:
          pickle.dump(images, f)
  
imports: import pickle
  import numpy
  import tensorflow
  import tensorflow_addons
  import torch
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types