code: def import_model(
      model, t_image, t_image_raw=None, scope="import", input_map=None
  ):
      if t_image_raw is None:
          t_image_raw = t_image
  
      T_ = model.import_graph(
          t_image,
          scope=scope,
          forget_xy_shape=True,
          input_map=input_map,
      )
  
      def T(layer):
          if layer == "input":
              return t_image_raw
          if layer == "labels":
              return model.labels
          return T_(layer)
  
      return T
  
file_path: lucid/lucid/optvis/render.py
imports: from __future__ import absolute_import, division, print_function
  from future.standard_library import install_aliases
  from builtins import range
  import numpy
  import tensorflow
  import logging
  from lucid.optvis import objectives, param, transform
  from lucid.misc.io import show
  from lucid.misc.redirected_relu_grad import redirected_relu_grad, redirected_relu6_grad
  from lucid.misc.gradient_override import gradient_override_map
label_desc: Use image node_id 7 for calling a global function with example usage: import_model(model, t_image, t_image_raw, scope, input_map) and returns: T, T_, t_image_raw, model