| /external/tensorflow/tensorflow/python/training/ |
| D | saver.py | 418 max_to_keep=5, argument
462 max_to_keep=max_to_keep,
472 max_to_keep=5, argument
487 if max_to_keep is None:
488 max_to_keep = 0
532 max_to_keep=max_to_keep,
557 max_to_keep=max_to_keep,
689 max_to_keep=5, argument
813 self._max_to_keep = max_to_keep
875 max_to_keep=self._max_to_keep,
[all …]
|
| D | checkpoint_management_test.py | 331 checkpoint, self.get_temp_dir(), max_to_keep=3)
350 checkpoint, directory, max_to_keep=None)
362 checkpoint, directory, max_to_keep=None)
368 checkpoint, directory, max_to_keep=3)
391 checkpoint, directory, max_to_keep=2)
410 max_to_keep=2, keep_checkpoint_every_n_hours=1.5)
442 max_to_keep=2, keep_checkpoint_every_n_hours=1.5)
468 checkpoint, directory, max_to_keep=2)
492 checkpoint, directory, max_to_keep=1, keep_checkpoint_every_n_hours=1.)
509 checkpoint, directory, max_to_keep=1)
[all …]
|
| D | checkpoint_management.py | 497 max_to_keep, keep_checkpoint_every_n_hours=None): argument
542 if max_to_keep is not None and max_to_keep <= 0:
546 % (max_to_keep,))
547 self._max_to_keep = max_to_keep
|
| D | saver_test.py | 836 save = saver_module.Saver(max_to_keep=1)
845 save = saver_module.Saver(max_to_keep=1)
1132 save = saver_module.Saver({"v": v}, max_to_keep=2)
1165 save2 = saver_module.Saver({"v": v}, max_to_keep=2)
1204 save = saver_module.Saver({"v": v}, max_to_keep=2)
1389 }, sharded=True, max_to_keep=2)
1445 save = saver_module.Saver({"v": v}, max_to_keep=None)
1455 save2 = saver_module.Saver({"v": v}, max_to_keep=0)
1502 }, max_to_keep=2, keep_checkpoint_every_n_hours=0.7 / 3600)
2552 saver = saver_module.Saver(var_list=var_list, max_to_keep=1)
[all …]
|
| /external/tensorflow/tensorflow/core/protobuf/ |
| D | saver.proto | 23 int32 max_to_keep = 4; field
29 // "max_to_keep" checkpoints are kept; if specified, in addition to keeping
30 // the last "max_to_keep" checkpoints, an additional checkpoint will be kept
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.train.-checkpoint-manager.pbtxt | 15 …argspec: "args=[\'self\', \'checkpoint\', \'directory\', \'max_to_keep\', \'keep_checkpoint_every_…
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.train.-checkpoint-manager.pbtxt | 15 …argspec: "args=[\'self\', \'checkpoint\', \'directory\', \'max_to_keep\', \'keep_checkpoint_every_…
|
| D | tensorflow.train.-saver-def.pbtxt | 24 name: "max_to_keep"
|
| D | tensorflow.train.-saver.pbtxt | 11 …argspec: "args=[\'self\', \'var_list\', \'reshape\', \'sharded\', \'max_to_keep\', \'keep_checkpoi…
|
| /external/tensorflow/tensorflow/python/training/tracking/ |
| D | util_xla_test.py | 68 root, checkpoint_directory, max_to_keep=2)
|
| D | util_with_v1_optimizers_test.py | 401 root, checkpoint_directory, max_to_keep=1)
|
| D | util_test.py | 550 root, checkpoint_directory, max_to_keep=1)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| D | graph_actions.py | 96 max_to_keep=keep_checkpoint_max)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | estimator.py | 1060 max_to_keep=self._config.keep_checkpoint_max,
|
| /external/tensorflow/tensorflow/cc/saved_model/testdata/half_plus_two_pbtxt/00000123/ |
| D | saved_model.pbtxt | 2456 max_to_keep: 5
|