code: def should_run_eagerly():
      """Returns whether the models we are testing should be run eagerly."""
      return _thread_local_data.run_eagerly and tf.executing_eagerly()
  
file_path: addons/tensorflow_addons/utils/tf_test_utils.py
imports: import threading
  import numpy
  import tensorflow
  from tensorflow.keras import backend
  from tensorflow.keras import layers
  from tensorflow.keras import models
  from tensorflow_addons.utils import tf_inspect
label_desc: Use image node_id 4 for calling a global function with example usage: should_run_eagerly() and returns: unknown