code: def plot_images(images, path, ncols, nrows):
      fig = plt.figure(figsize=(25, 25))
      grid = ImageGrid(
          fig,
          111,  # similar to subplot(111)
          nrows_ncols=(nrows, ncols),  # creates 2x2 grid of axes
          axes_pad=0.1,  # pad between axes in inch.
      )
  
      for ax, img in zip(grid, images):
          norm_img = normalize_image(img, -1, 1)
          img = (
              nd.clip(norm_img * 255 + 0.5, 0, 255)
              .asnumpy()
              .astype(np.uint8)
          )
          img = np.transpose(img, (1, 2, 0))
          ax.imshow(img)
          ax.axis("off")
  
      plt.savefig(path, bbox_inches="tight")
  
imports: import os
  import random
  import math
  import argparse
  import logging
  import os.path
  from io import BytesIO
  import lmdb
  import numpy
  from PIL import Image
  from tqdm import tqdm
  from mpl_toolkits.axes_grid1 import ImageGrid
  import matplotlib.pyplot
  import mxnet
  import mxnet.ndarray
  from mxnet import gluon, autograd
  from mxnet.gluon.data.vision import transforms
  from mxnet.gluon.data import DataLoader
  from model import StyledGenerator, Discriminator
label_desc: Use image node_id 6 for calling a global function with example usage: plot_images(images, path, ncols, nrows) without return types