class_docstr: A class to dump stack traces if no activity happens in ClusterCoordinator.
code: def __init__(
      self, timeout=-1, traceback_file=sys.stdout, on_triggered=None
  ):
      if os.environ.get(
          "TF_CLUSTER_COORDINATOR_WATCH_DOG_TIMEOUT", ""
      ).isnumeric():
          timeout = int(
              os.environ["TF_CLUSTER_COORDINATOR_WATCH_DOG_TIMEOUT"]
          )
      self._timeout = timeout
      self._last_activity_time = time.time()
      self._traceback_file = traceback_file
      self._on_triggered = on_triggered
      self._stopped = False
      if timeout > 0:
          self._watchdog_thread = threading.Thread(
              target=self._watchdog_function,
              name="WatchDog",
              daemon=True,
          )
          self._watchdog_thread.start()
  
file_path: tensorflow/tensorflow/python/distribute/coordinator/watchdog.py
imports: import faulthandler
  import os
  import sys
  import threading
  import time
  from absl import logging
label_desc: Use image node_id 1 to create a new WatchDog object from inherited base classes: object with example: obj = WatchDog(timeout, traceback_file, on_triggered)