/external/tensorflow/tensorflow/python/feature_column/ |
D | serialization_test.py | 125 def test_get_config(self, trainable, name): argument 130 cols, trainable=trainable, name=name) 134 self.assertEqual(config['trainable'], trainable) 146 def test_from_config(self, trainable, name): argument 153 cols, trainable=trainable, name=name) 159 self.assertEqual(new_layer.trainable, trainable) 189 def test_get_config(self, trainable, name): argument 191 orig_layer = sfc.SequenceFeatures(cols, trainable=trainable, name=name) 195 self.assertEqual(config['trainable'], trainable) 204 def test_from_config(self, trainable, name): argument [all …]
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D | feature_column.py | 175 trainable=True, argument 206 trainable=trainable) 238 trainable=True, argument 301 trainable=trainable, 316 trainable=True, argument 324 self._trainable = trainable 336 trainable=self._trainable, 375 trainable=True, argument 499 trainable=trainable, 540 trainable=True, argument [all …]
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D | feature_column_v2.py | 195 trainable=True, argument 213 del feature_column, name, shape, dtype, trainable, use_resource, initializer 268 def __init__(self, layer, trainable): argument 275 self._trainable = trainable 290 trainable=True, argument 304 trainable=self._trainable and trainable, 345 trainable=True, argument 359 trainable=self._trainable and trainable, 389 trainable, argument 394 name=name, trainable=trainable, **kwargs) [all …]
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D | dense_features_v2.py | 62 trainable=True, argument 84 trainable=trainable, 87 …self._state_manager = fc._StateManagerImplV2(self, self.trainable) # pylint: disable=protected-ac…
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D | dense_features.py | 70 trainable=True, argument 94 trainable=trainable,
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/external/tensorflow/tensorflow/python/layers/ |
D | convolutional.py | 95 trainable=True, argument 114 trainable=trainable, 138 trainable=True, argument 214 trainable=trainable, 294 trainable=True, argument 313 trainable=trainable, 337 trainable=True, argument 420 trainable=trainable, 501 trainable=True, argument 520 trainable=trainable, [all …]
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D | base.py | 191 def __init__(self, trainable=True, name=None, dtype=None, argument 212 super(Layer, self).__init__(trainable=trainable, name=name, dtype=dtype, 322 trainable=None, argument 386 trainable=trainable and self.trainable, 395 if trainable: 403 trainable = False 404 elif trainable is None: 405 trainable = True 453 trainable=trainable and self.trainable, 474 if (trainable and self.trainable and
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D | core.py | 95 trainable=True, argument 108 trainable=trainable, 127 trainable=True, argument 183 trainable=trainable,
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D | normalization.py | 142 trainable=True, argument 165 trainable=trainable, 196 trainable=True, argument 330 trainable=trainable,
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/external/tensorflow/tensorflow/python/tpu/ |
D | feature_column.py | 134 trainable=True, 146 trainable=True, 279 trainable=True, 366 trainable=True, argument 382 trainable=trainable, 393 trainable=True, argument 440 def _get_dense_tensor(self, inputs, weight_collections=None, trainable=None): argument 444 self, inputs, weight_collections, trainable) 449 self, inputs, weight_collections, trainable) 462 self, inputs, weight_collections=None, trainable=None): argument [all …]
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | kernelized_test.py | 98 def test_random_features_properties(self, initializer, scale, trainable): argument 103 trainable=trainable) 107 self.assertEqual(rff_layer.trainable, trainable) 113 def test_call(self, initializer, trainable): argument 118 trainable=trainable, 123 num_trainable_vars = 1 if trainable else 0 138 output_dim=7, name='random_fourier_features', trainable=True) 205 def test_get_config(self, output_dim, initializer, scale, trainable): argument 210 trainable=trainable, 224 'trainable': trainable, [all …]
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D | kernelized.py | 135 trainable=False, argument 151 trainable=trainable, name=name, **kwargs) 180 trainable=False) 188 trainable=False) 197 trainable=True,
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D | normalization.py | 192 trainable=True, argument 236 self.trainable = trainable 280 def trainable(self): member in BatchNormalizationBase 283 @trainable.setter 284 def trainable(self, value): member in BatchNormalizationBase 398 trainable=True, 414 trainable=True, 435 trainable=False, 445 trainable=False, 464 trainable=False, [all …]
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/external/tensorflow/tensorflow/python/ops/ |
D | variable_scope.py | 294 trainable=None, argument 443 trainable=None, argument 468 trainable=trainable, 489 trainable=trainable, 513 trainable=trainable, 522 synchronization, aggregation, trainable = ( 524 synchronization, aggregation, trainable, name)) 537 "trainable": trainable, 560 trainable=trainable, 578 trainable=None, argument [all …]
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D | variables.py | 151 trainable, name): 173 if trainable is None: 174 trainable = synchronization != VariableSynchronization.ON_READ 175 return synchronization, aggregation, trainable 183 trainable=None, argument 207 trainable=trainable, 224 trainable=None, argument 245 trainable=trainable, 369 trainable=None, argument 480 def trainable(self): member in Variable [all …]
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D | resource_variable_ops.py | 322 if variable.trainable: 335 trainable=None, argument 402 synchronization, aggregation, trainable = ( 404 synchronization, aggregation, trainable, name)) 405 self._trainable = trainable 477 trainable=self._trainable, 576 def trainable(self): member in BaseResourceVariable 685 if self.trainable: 727 var_def.trainable = self.trainable 850 trainable=self.trainable, [all …]
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/external/tensorflow/tensorflow/python/training/tracking/ |
D | layer_utils.py | 254 def gather_trainable_weights(trainable, sub_layers, extra_variables): argument 267 if not trainable: 273 v for v in extra_variables if v.trainable] 277 def gather_non_trainable_weights(trainable, sub_layers, extra_variables): argument 293 if v.trainable: 300 if not trainable:
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | template_test.py | 40 def variable_scoped_function(trainable=True): argument 42 "dummy", shape=[1], trainable=trainable, 52 def function_with_create(trainable): argument 54 variables.Variable(0, trainable=trainable) 59 def function_with_side_create(trainable, name="side"): argument 61 variable_scope.get_variable(name, shape=[1], trainable=trainable) 284 tmpl = template.make_template("s", function_with_create, trainable=True) 294 trainable=True) 301 tmpl = template.make_template("s", function_with_create, trainable=False) 308 trainable=False) [all …]
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.layers.pbtxt | 97 …gularizer\', \'beta_constraint\', \'gamma_constraint\', \'training\', \'trainable\', \'name\', \'r… 101 …\'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'r… 105 …\'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'r… 109 …\'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'r… 113 …\'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'r… 117 …\'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'r… 121 …\'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'r… 145 …epthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'r… 149 …epthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'r…
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D | tensorflow.feature_column.pbtxt | 29 …izer\', \'ckpt_to_load_from\', \'tensor_name_in_ckpt\', \'max_norm\', \'trainable\', \'use_safe_em… 37 …argspec: "args=[\'features\', \'feature_columns\', \'weight_collections\', \'trainable\', \'cols_t… 41 …re_columns\', \'units\', \'sparse_combiner\', \'weight_collections\', \'trainable\', \'cols_to_var… 73 …name\', \'ckpt_to_load_from\', \'tensor_name_in_ckpt\', \'max_norm\', \'trainable\', \'use_safe_em…
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/external/tensorflow/tensorflow/python/keras/utils/ |
D | layer_utils.py | 275 def gather_trainable_weights(trainable, sub_layers, extra_variables): argument 288 if not trainable: 294 v for v in extra_variables if v.trainable] 298 def gather_non_trainable_weights(trainable, sub_layers, extra_variables): argument 314 if v.trainable: 321 if not trainable:
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | base_layer.py | 170 def __init__(self, trainable=True, name=None, dtype=None, dynamic=False, argument 190 self._trainable = trainable 294 def _add_trackable(self, trackable_object, trainable): argument 307 if trainable: 320 trainable=None, argument 392 if trainable: 400 trainable = False 401 elif trainable is None: 402 trainable = True 444 trainable=trainable, [all …]
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/external/tensorflow/tensorflow/python/training/ |
D | session_manager_test.py | 253 trainable=False, 312 trainable=False, 345 trainable=False, 382 trainable=False, 416 trainable=False, 447 trainable=False, 467 trainable=False, 485 trainable=False, 490 trainable=False, 525 trainable=False, [all …]
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/external/tensorflow/tensorflow/python/saved_model/ |
D | load_v1_in_v2_test.py | 78 trainable=False, 109 self.assertTrue(imported.variables[0].trainable) 110 self.assertFalse(imported.variables[1].trainable) 439 def _no_trainable_variable_attribute(self, trainable): argument 455 v = _MissingFieldsVariable(3., trainable=trainable) 474 path = self._no_trainable_variable_attribute(trainable=True) 476 self.assertTrue(root.variables[0].trainable) 477 path = self._no_trainable_variable_attribute(trainable=False) 479 self.assertFalse(root.variables[0].trainable) 502 trainable=True, [all …]
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/ |
D | multi_variables_v1.py | 45 trainable=True) 50 trainable=True)
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