code: def get_mean_style(generator):
      mean_style = None
  
      for i in range(10):
          style = generator.mean_latent(1024)
  
          if mean_style is None:
              mean_style = style
  
          else:
              mean_style += style
  
      mean_style /= 10
      return mean_style
  
file_path: PaddleHub/modules/image/Image_gan/gan/styleganv2_mixing/basemodel.py
imports: import os
  import random
  import numpy
  import paddle
  from ppgan.models.generators import StyleGANv2Generator
  from ppgan.utils.download import get_path_from_url
  from ppgan.utils.visual import make_grid, tensor2img, save_image
label_desc: Use image node_id 1 for calling a global function with example usage: get_mean_style(generator) and returns: mean_style