code: def is_traceback_filtering_enabled():
      """Check whether traceback filtering is currently enabled.
  
      See also `tf.debugging.enable_traceback_filtering()` and
      `tf.debugging.disable_traceback_filtering()`. Note that filtering out
      internal frames from the tracebacks of exceptions raised by TensorFlow code
      is the default behavior.
  
      Returns:
        True if traceback filtering is enabled
        (e.g. if `tf.debugging.enable_traceback_filtering()` was called),
        and False otherwise (e.g. if `tf.debugging.disable_traceback_filtering()`
        was called).
      """
      value = getattr(_ENABLE_TRACEBACK_FILTERING, "value", True)
      return value
  
file_path: tensorflow/tensorflow/python/util/traceback_utils.py
imports: import os
  import sys
  import threading
  import traceback
  import types
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling a global function with example usage: is_traceback_filtering_enabled() and returns: value