code: def sample(generator, mean_style, n_sample):
      image = generator(
          [paddle.randn([n_sample, generator.style_dim])],
          truncation=0.7,
          truncation_latent=mean_style,
      )[0]
  
      return image
  
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 2 for calling a global function with example usage: sample(generator, mean_style, n_sample) and returns: image