| /external/tensorflow/tensorflow/python/saved_model/model_utils/ |
| D | mode_keys.py | 35 TRAIN = 'train' variable in KerasModeKeys
51 TRAIN = 'train' variable in EstimatorModeKeys
65 return mode in [KerasModeKeys.TRAIN, EstimatorModeKeys.TRAIN]
95 return KerasModeKeys.TRAIN
|
| D | mode_keys_test.py | 39 _ = mode_map[mode_keys.KerasModeKeys.TRAIN]
41 _ = mode_map[mode_keys.EstimatorModeKeys.TRAIN]
|
| D | export_utils.py | 41 ModeKeys.TRAIN: [tag_constants.TRAINING],
51 ModeKeys.TRAIN: signature_constants.DEFAULT_TRAIN_SIGNATURE_DEF_KEY,
|
| D | export_test.py | 275 ret = _build_export_output(KerasModeKeys.TRAIN)
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_arrays_v1.py | 62 mode=ModeKeys.TRAIN,
150 learning_phase=(1 if mode == ModeKeys.TRAIN else 0))
212 if mode == ModeKeys.TRAIN and verbose:
268 if mode == ModeKeys.TRAIN:
415 model, ModeKeys.TRAIN)
437 if mode == ModeKeys.TRAIN:
454 if mode == ModeKeys.TRAIN:
530 if mode == ModeKeys.TRAIN and not isinstance(K.symbolic_learning_phase(),
572 has_learning_phase_pl = (mode == ModeKeys.TRAIN and
585 fit_loop = functools.partial(model_iteration, mode=ModeKeys.TRAIN)
|
| D | training_generator_v1.py | 57 mode=ModeKeys.TRAIN,
192 1 if mode == ModeKeys.TRAIN else 0)
207 if mode == ModeKeys.TRAIN:
320 if mode == ModeKeys.TRAIN:
337 if mode == ModeKeys.TRAIN:
343 fit_generator = functools.partial(model_iteration, mode=ModeKeys.TRAIN)
409 arg_name = 'steps_per_epoch' if mode == ModeKeys.TRAIN else 'steps'
517 if mode == ModeKeys.TRAIN:
|
| D | training_distributed_v1.py | 164 mode = ModeKeys.TRAIN
183 step_fn = _make_train_step_fn(model, ModeKeys.TRAIN, current_strategy,
266 dist_utils._copy_weights_to_original_model(model, ModeKeys.TRAIN)
288 dist_utils._copy_weights_to_original_model(model, ModeKeys.TRAIN)
610 ModeKeys.TRAIN,
|
| D | training.py | 2640 initial_epoch, mode=ModeKeys.TRAIN)
|
| D | training_v1.py | 2084 if mode == ModeKeys.TRAIN:
|
| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | saved_model_experimental.py | 211 _export_mode(mode_keys.ModeKeys.TRAIN, has_saved_vars, **export_args)
263 mode == mode_keys.ModeKeys.TRAIN):
285 if mode == mode_keys.ModeKeys.TRAIN:
|
| D | saved_model_experimental_test.py | 403 sess, saved_model_dir, mode_keys.ModeKeys.TRAIN)
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.estimator.-mode-keys.pbtxt | 14 name: "TRAIN"
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.estimator.-mode-keys.pbtxt | 14 name: "TRAIN"
|
| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | distributed_training_utils_v1.py | 498 mode != ModeKeys.TRAIN or
502 mode == ModeKeys.TRAIN or
822 if mode == ModeKeys.TRAIN:
873 if mode == ModeKeys.TRAIN:
1033 if model._distribution_strategy and mode == ModeKeys.TRAIN:
1055 for mode in [ModeKeys.TRAIN, ModeKeys.TEST, ModeKeys.PREDICT]:
|
| D | worker_training_state.py | 139 if mode == mode_keys.ModeKeys.TRAIN and epoch >= 0:
|
| /external/tensorflow/tensorflow/python/tpu/ |
| D | async_checkpoint_test.py | 72 if mode == model_fn_lib.ModeKeys.TRAIN:
77 mode=model_fn_lib.ModeKeys.TRAIN,
|
| /external/tensorflow/tensorflow/python/keras/ |
| D | callbacks.py | 86 mode=ModeKeys.TRAIN):
113 if mode == ModeKeys.TRAIN:
147 mode=ModeKeys.TRAIN):
196 if mode in {ModeKeys.TRAIN, ModeKeys.TEST} and metric_names:
372 if mode == ModeKeys.TRAIN:
381 if mode == ModeKeys.TRAIN:
390 self._call_batch_hook(ModeKeys.TRAIN, 'begin', batch, logs=logs)
394 self._call_batch_hook(ModeKeys.TRAIN, 'end', batch, logs=logs)
447 self._call_batch_hook(ModeKeys.TRAIN, 'begin', batch, logs=logs)
457 self._call_batch_hook(ModeKeys.TRAIN, 'end', batch, logs=logs)
|
| /external/tensorflow/tensorflow/python/distribute/ |
| D | distribute_utils_test.py | 213 mode=mode_keys.EstimatorModeKeys.TRAIN,
221 self.assertEqual(mode_keys.EstimatorModeKeys.TRAIN,
|
| /external/tensorflow/tensorflow/python/compiler/tensorrt/test/ |
| D | quantization_mnist_test.py | 233 if mode == ModeKeys.TRAIN:
|
| /external/llvm-project/clang-tools-extra/docs/clang-tidy/checks/ |
| D | readability-magic-numbers.rst | 18 * Rule 20701 in "TRAIN REAL TIME DATA PROTOCOL Coding Rules" by Armin-Hagen
|
| /external/tensorflow/tensorflow/python/compiler/xla/ |
| D | xla_test.py | 40 _TRAIN = model_fn_lib.ModeKeys.TRAIN
|
| /external/cldr/common/uca/ |
| D | allkeys_DUCET.txt | 6100 1F684 ; [*13E6.0020.0002.1F684] # HIGH-SPEED TRAIN
6101 1F685 ; [*13E7.0020.0002.1F685] # HIGH-SPEED TRAIN WITH BULLET NOSE
6102 1F686 ; [*13E8.0020.0002.1F686] # TRAIN
|
| D | allkeys_CLDR.txt | 7790 1F684 ; [.1822.0020.0002] # HIGH-SPEED TRAIN
7791 1F685 ; [.1823.0020.0002] # HIGH-SPEED TRAIN WITH BULLET NOSE
7792 1F686 ; [.1824.0020.0002] # TRAIN
|
| D | UCA_Rules.txt | 7711 < �� # 6.0 [So] [1822.0020.0002] U+1F684 HIGH-SPEED TRAIN
7712 < �� # 6.0 [So] [1823.0020.0002] U+1F685 HIGH-SPEED TRAIN WITH BULLET NOSE
7713 < �� # 6.0 [So] [1824.0020.0002] U+1F686 TRAIN
|
| /external/cldr/tools/java/org/unicode/cldr/draft/ |
| D | Categories.txt | 23344 1F684 So Symbol Vehicle HIGH-SPEED TRAIN
23345 1F685 So Symbol Vehicle HIGH-SPEED TRAIN WITH BULLET NOSE
23346 1F686 So Symbol Vehicle TRAIN
|