message: More logging for AsyncCheckpointSaverHook.
diff: @@ -26,7 +26,7 @@ import os
  import threading
  import time
  -from tensorflow.core.util.event_pb2 import SessionLog
  +from tensorflow.core.util import event_pb2
  from tensorflow.python.framework import meta_graph
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import tf_logging as logging
  @@ -64,14 +64,16 @@ class AsyncCheckpointSaverHook(basic_session_run_hooks.CheckpointSaverHook):
  ValueError: One of `save_steps` or `save_secs` should be set.
  ValueError: At most one of `saver` or `scaffold` should be set.
  """
  - logging.info("Create AsyncCheckpointSaverHook.")
  + save_path = os.path.join(checkpoint_dir, checkpoint_basename)
  + logging.info("Create AsyncCheckpointSaverHook saving to path\n%s\n"
  + "with %d listener(s).", save_path, len(listeners))
  if saver is not None and scaffold is not None:
  raise ValueError("You cannot provide both saver and scaffold.")
  self._saver = saver
  self._save_thread = None
  self._write_graph_thread = None
  self._checkpoint_dir = checkpoint_dir
  - self._save_path = os.path.join(checkpoint_dir, checkpoint_basename)
  + self._save_path = save_path
  self._scaffold = scaffold
  self._timer = basic_session_run_hooks.SecondOrStepTimer(
  every_secs=save_secs, every_steps=save_steps)
  @@ -158,9 +160,9 @@ class AsyncCheckpointSaverHook(basic_session_run_hooks.CheckpointSaverHook):
  self._get_saver().save(session, self._save_path, global_step=step)
  self._summary_writer.add_session_log(
  - SessionLog(
  - status=SessionLog.CHECKPOINT, checkpoint_path=self._save_path),
  - step)
  + event_pb2.SessionLog(
  + status=event_pb2.SessionLog.CHECKPOINT,
  + checkpoint_path=self._save_path), step)
  for l in self._listeners:
  l.after_save(session, step)
  