code: def run(self, latent, direction, offset):
      latent = paddle.to_tensor(latent).unsqueeze(0).astype("float32")
      direction = (
          self.directions[direction].unsqueeze(0).astype("float32")
      )
  
      latent_n = paddle.concat([latent, latent + offset * direction], 0)
      generator = self.generator
      img_gen, _ = generator(
          [latent_n], input_is_latent=True, randomize_noise=False
      )
      imgs = make_image(img_gen)
      src_img = imgs[0]
      dst_img = imgs[1]
  
      dst_latent = (
          (latent + offset * direction)[0].numpy().astype("float32")
      )
  
      return src_img, dst_img, dst_latent
  
file_path: PaddleHub/modules/image/Image_gan/gan/styleganv2_editing/model.py
imports: import os
  import cv2
  import numpy
  import paddle
  from ppgan.utils.download import get_path_from_url
  from .basemodel import StyleGANv2Predictor
label_desc: Use image node_id 2 for calling the StyleGANv2EditingPredictor obj's underlying member method code with example usage: obj.run(latent, direction, offset) and returns: src_img,  dst_img,  dst_latent