code: def dummy_batch(size=(64, 64), ch_in=3):
      "Create a dummy batch to go through `m` with `size`."
      arr = np.random.rand(1, ch_in, *size).astype("float32") * 2 - 1
      return paddle.to_tensor(arr)
  
imports: import base64
  import os
  import sys
  import cv2
  import numpy
  import paddle
  import paddle.nn
  from PIL import Image
label_desc: Use image node_id 9 for calling a global function with example usage: dummy_batch(size, ch_in) and returns: paddle