| /external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
| D | layers.py | 104 normalizer_fn=None, argument
227 use_bias=not normalizer_fn and biases_initializer,
245 if normalizer_fn is not None:
247 outputs = normalizer_fn(outputs, **normalizer_params)
263 normalizer_fn=None, argument
335 use_bias=not normalizer_fn and biases_initializer,
354 if normalizer_fn is not None:
357 outputs = normalizer_fn(outputs, **normalizer_params)
|
| /external/tensorflow/tensorflow/python/feature_column/ |
| D | sequence_feature_column.py | 428 normalizer_fn=None): argument
473 if normalizer_fn is not None and not callable(normalizer_fn):
475 'normalizer_fn must be a callable. Given: {}'.format(normalizer_fn))
482 normalizer_fn=normalizer_fn)
533 if self.normalizer_fn is not None:
534 input_tensor = self.normalizer_fn(input_tensor)
|
| D | feature_column.py | 929 normalizer_fn=None): argument
988 if normalizer_fn is not None and not callable(normalizer_fn):
990 'normalizer_fn must be a callable. Given: {}'.format(normalizer_fn))
998 normalizer_fn=normalizer_fn)
2293 if self.normalizer_fn is not None:
2294 input_tensor = self.normalizer_fn(input_tensor)
|
| D | feature_column_v2.py | 1266 normalizer_fn=None): argument
1325 if normalizer_fn is not None and not callable(normalizer_fn):
1327 'normalizer_fn must be a callable. Given: {}'.format(normalizer_fn))
1335 normalizer_fn=normalizer_fn)
2745 if self.normalizer_fn is not None:
2746 input_tensor = self.normalizer_fn(input_tensor)
2816 config['normalizer_fn'] = utils.serialize_keras_object(self.normalizer_fn)
|
| D | sequence_feature_column_test.py | 1339 self.assertIsNone(a.normalizer_fn)
1360 sfc.sequence_numeric_column('aaa', normalizer_fn='NotACallable')
1418 'aaa', normalizer_fn=_increment_two)
|
| /external/tensorflow/tensorflow/contrib/feature_column/python/feature_column/ |
| D | sequence_feature_column.py | 397 normalizer_fn=None): argument
440 if normalizer_fn is not None and not callable(normalizer_fn):
442 'normalizer_fn must be a callable. Given: {}'.format(normalizer_fn))
449 normalizer_fn=normalizer_fn)
481 if self.normalizer_fn is not None:
482 input_tensor = self.normalizer_fn(input_tensor)
|
| D | sequence_feature_column_test.py | 1300 self.assertIsNone(a.normalizer_fn)
1321 sfc.sequence_numeric_column('aaa', normalizer_fn='NotACallable')
1381 'aaa', normalizer_fn=_increment_two)
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | layers.py | 926 normalizer_fn=None, argument
1047 use_bias=not normalizer_fn and biases_initializer,
1065 if normalizer_fn is not None:
1067 outputs = normalizer_fn(outputs, **normalizer_params)
1082 normalizer_fn=None, argument
1101 normalizer_fn,
1125 normalizer_fn=None, argument
1144 normalizer_fn,
1168 normalizer_fn=None, argument
1187 normalizer_fn,
[all …]
|
| /external/tensorflow/tensorflow/contrib/quantize/python/ |
| D | fold_batch_norms_test.py | 108 normalizer_fn=None,
129 normalizer_fn=batch_norm,
207 normalizer_fn=None,
220 normalizer_fn=batch_norm,
301 normalizer_fn=batch_norm,
374 normalizer_fn=None,
394 normalizer_fn=batch_norm,
470 normalizer_fn=None,
492 normalizer_fn=batch_norm,
582 normalizer_fn=None,
[all …]
|
| D | quantize_parameterized_test.py | 522 normalizer_fn=batch_norm,
576 normalizer_fn=batch_norm,
635 normalizer_fn=batch_norm,
694 normalizer_fn=batch_norm,
759 normalizer_fn=batch_norm,
770 normalizer_fn=batch_norm,
|
| D | common_test.py | 110 normalizer_fn=batch_norm,
|
| D | quantize_graph_test.py | 475 normalizer_fn=None,
503 normalizer_fn=None,
|
| D | graph_matcher_test.py | 52 normalizer_fn=layers.batch_norm,
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| D | resnet_v2.py | 109 normalizer_fn=None,
121 normalizer_fn=None,
213 [layers_lib.conv2d], activation_fn=None, normalizer_fn=None):
230 normalizer_fn=None,
|
| D | inception_v1.py | 355 normalizer_fn=None,
400 normalizer_fn = layers_lib.batch_norm
403 normalizer_fn = None
413 normalizer_fn=normalizer_fn,
|
| D | vgg.py | 126 normalizer_fn=None,
191 normalizer_fn=None,
256 normalizer_fn=None,
|
| D | overfeat.py | 122 normalizer_fn=None,
|
| D | alexnet.py | 126 normalizer_fn=None,
|
| D | resnet_utils.py | 260 normalizer_fn=layers.batch_norm,
|
| D | inception_v3.py | 610 normalizer_fn=None,
635 normalizer_fn=None,
727 normalizer_fn=layers_lib.batch_norm,
|
| D | resnet_v1.py | 216 normalizer_fn=None,
|
| D | inception_v2.py | 561 normalizer_fn=None,
641 normalizer_fn=layers_lib.batch_norm,
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.feature_column.pbtxt | 41 …argspec: "args=[\'key\', \'shape\', \'default_value\', \'dtype\', \'normalizer_fn\'], varargs=None…
61 …argspec: "args=[\'key\', \'shape\', \'default_value\', \'dtype\', \'normalizer_fn\'], varargs=None…
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.feature_column.pbtxt | 49 …argspec: "args=[\'key\', \'shape\', \'default_value\', \'dtype\', \'normalizer_fn\'], varargs=None…
69 …argspec: "args=[\'key\', \'shape\', \'default_value\', \'dtype\', \'normalizer_fn\'], varargs=None…
|
| /external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
| D | tuple_losses_test.py | 206 normalizer_fn=None,
|