class_docstr: HiFiC Model class.
class_docstr_tok: ["HiFiC","Model","class","."]
code: def _compute_perceptual_loss(self, nodes: Nodes):
      input_image_scaled = nodes.input_image_scaled
      reconstruction_scaled = nodes.reconstruction_scaled
      # First the fake images, then the real! Otherwise no gradients.
      return self._lpips_loss(reconstruction_scaled, input_image_scaled)
  
imports: import collections
  import glob
  import itertools
  from compare_gan.gans import loss_lib
  import tensorflow.compat.v1
  import tensorflow_datasets
  from hific import archs
  from hific import helpers
  from hific.helpers import ModelMode
  from hific.helpers import ModelType
  from hific.helpers import TFDSArguments
label_desc: Use image node_id 23 for calling the HiFiC obj's underlying member method code with example usage: obj._compute_perceptual_loss(nodes) and returns: self