code: def run(self, n_row=3, n_col=5):
      os.makedirs(self.output_path, exist_ok=True)
      mean_style = get_mean_style(self.generator)
  
      img = sample(self.generator, mean_style, n_row * n_col)
      save_image(
          tensor2img(make_grid(img, nrow=n_col)),
          f"{self.output_path}/sample.png",
      )
  
      for j in range(2):
          img = style_mixing(self.generator, mean_style, n_col, n_row)
          save_image(
              tensor2img(make_grid(img, nrow=n_col + 1)),
              f"{self.output_path}/sample_mixing_{j}.png",
          )
  
file_path: PaddleHub/modules/image/Image_gan/gan/styleganv2_editing/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 the StyleGANv2Predictor obj's underlying member method code with example usage: obj.run(n_row, n_col) without return types