code: def preprocess_vqgan(x):
      x = 2.0 * x - 1.0
      return x
  
file_path: transformers/examples/research_projects/vqgan-clip/img_processing.py
imports: import numpy
  import PIL
  import torch
  import torchvision.transforms
  import torchvision.transforms.functional
  from PIL import Image
label_desc: Use image node_id 2 for calling a global function with example usage: preprocess_vqgan(x) and returns: x