code: def enable_traceback_filtering():
      """Enable filtering out TensorFlow-internal frames in exception stack traces.
  
      Raw TensorFlow stack traces involve many internal frames, which can be
      challenging to read through, while not being actionable for end users.
      By default, TensorFlow filters internal frames in most exceptions that it
      raises, to keep stack traces short, readable, and focused on what's
      actionable for end users (their own code).
  
      If you have previously disabled traceback filtering via
      `tf.debugging.disable_traceback_filtering()`, you can re-enable it via
      `tf.debugging.enable_traceback_filtering()`.
  
      Raises:
        RuntimeError: If Python version is not at least 3.7.
      """
      if sys.version_info.major != 3 or sys.version_info.minor < 7:
          raise RuntimeError(
              f"Traceback filtering is only available with Python 3.7 or higher. "
              f"This Python version: {sys.version}"
          )
      global _ENABLE_TRACEBACK_FILTERING
      _ENABLE_TRACEBACK_FILTERING.value = True
  
file_path: tensorflow-upstream/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 2 for calling a global function with example usage: enable_traceback_filtering() without return types