code: def wrn_preprocess(x):
      # Refer to the following Torch WideResNets
      # https://github.com/szagoruyko/wide-residual-networks/blob/master/pytorch/main.py
      x = x.copy()
      x /= 255.0
      x[:, :, :, 0] -= 0.491
      x[:, :, :, 1] -= 0.482
      x[:, :, :, 2] -= 0.447
      x[:, :, :, 0] /= 0.247
      x[:, :, :, 1] /= 0.244
      x[:, :, :, 2] /= 0.262
      return x
  
file_path: tensornets/tensornets/preprocess.py
imports: import numpy
label_desc: Use image node_id 7 for calling a global function with example usage: wrn_preprocess(x) and returns: x