Propogate keep_checkpoint_every_n_hours to the default Saver inside e…

…stimator.

PiperOrigin-RevId: 159138894

tensorflow/python/estimator/estimator.py

@@ -603,12 +603,15 @@ def _train_model(self, input_fn, hooks):
 
  if not (estimator_spec.scaffold.saver or
  ops.get_collection(ops.GraphKeys.SAVERS)):
- ops.add_to_collection(ops.GraphKeys.SAVERS,
- training.Saver(
- sharded=True,
- max_to_keep=self._config.keep_checkpoint_max,
- defer_build=True,
- save_relative_paths=True))
+ ops.add_to_collection(
+ ops.GraphKeys.SAVERS,
+ training.Saver(
+ sharded=True,
+ max_to_keep=self._config.keep_checkpoint_max,
+ keep_checkpoint_every_n_hours=(
+ self._config.keep_checkpoint_every_n_hours),
+ defer_build=True,
+ save_relative_paths=True))
 
  chief_hooks = []
  if (self._config.save_checkpoints_secs or
@@ -862,7 +865,8 @@ def _write_dict_to_summary(output_dir,
  value.simple_value = int(dictionary[key])
  else:
  logging.warn(
- 'Skipping summary for %s, must be a float, np.float32, np.int64, np.int32 or int.',
+ 'Skipping summary for %s, must be a float, np.float32, np.int64, '
+ 'np.int32 or int.',
  key)
  summary_writer.add_summary(summary_proto, current_global_step)
  summary_writer.flush()