code: def serialize(layer):
      return generic_utils.serialize_keras_object(layer)
  
file_path: tensorflow-upstream/tensorflow/python/keras/layers/serialization.py
imports: import threading
  from tensorflow.python import tf2
  from tensorflow.python.keras.engine import base_layer
  from tensorflow.python.keras.engine import input_layer
  from tensorflow.python.keras.engine import input_spec
  from tensorflow.python.keras.layers import advanced_activations
  from tensorflow.python.keras.layers import convolutional
  from tensorflow.python.keras.layers import convolutional_recurrent
  from tensorflow.python.keras.layers import core
  from tensorflow.python.keras.layers import dense_attention
  from tensorflow.python.keras.layers import embeddings
  from tensorflow.python.keras.layers import merge
  from tensorflow.python.keras.layers import pooling
  from tensorflow.python.keras.layers import recurrent
  from tensorflow.python.keras.layers import rnn_cell_wrapper_v2
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.keras.utils import tf_inspect
label_desc: Use image node_id 2 for calling a global function with example usage: serialize(layer) and returns: generic_utils