code: def make_image(tensor):
      return (
          ((tensor.detach() + 1) / 2 * 255)
          .clip(min=0, max=255)
          .transpose((0, 2, 3, 1))
          .numpy()
          .astype("uint8")
      )
  
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 1 for calling a global function with example usage: make_image(tensor) and returns: unknown