code: def is_wrapped_model(layer):
      from tensorflow.python.keras.engine import functional
      from tensorflow.python.keras.layers import wrappers
  
      return isinstance(layer, wrappers.Wrapper) and isinstance(
          layer.layer, functional.Functional
      )
  
file_path: tensorflow/tensorflow/python/keras/utils/vis_utils.py
imports: import os
  import sys
  from tensorflow.python.keras.utils.io_utils import path_to_string
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling a global function with example usage: is_wrapped_model(layer) and returns: unknown