code: def create_zero_centered_coordinate_mesh(shape):
      tmp = tuple([np.arange(i) for i in shape])
      coords = np.array(np.meshgrid(*tmp, indexing="ij")).astype(float)
      for d in range(len(shape)):
          coords[d] -= ((np.array(shape).astype(float) - 1) / 2.0)[d]
      return coords
  
imports: import random
  import numpy
  import paddle
  from paddle.nn.functional import avg_pool2d, avg_pool3d
  from typing import List, Tuple, Union, Callable
  from copy import deepcopy
  from scipy.ndimage import map_coordinates, fourier_gaussian
  from scipy.ndimage.filters import gaussian_filter, gaussian_gradient_magnitude
  from scipy.ndimage.morphology import grey_dilation
  from skimage.transform import resize
  from scipy.ndimage.measurements import label
label_desc: Use image node_id 16 for calling a global function with example usage: create_zero_centered_coordinate_mesh(shape) and returns: coords