code: def keras_resnet_preprocess(x):
      # Copied from keras
      x = x.copy()
      x = x[:, :, :, ::-1]
      x[:, :, :, 0] -= 103.939
      x[:, :, :, 1] -= 116.779
      x[:, :, :, 2] -= 123.68
      return x
  
file_path: tensornets/tensornets/preprocess.py
imports: import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: keras_resnet_preprocess(x) and returns: x