| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | feature_columns_integration_test.py | 159 loss_weights = [1., 0.5]
164 loss_weights=loss_weights)
188 loss_weights = [1., 0.5]
193 loss_weights=loss_weights)
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| D | training_test.py | 117 loss_weights = [1., 2.]
118 model.compile(optimizer='adam', loss='mse', loss_weights=loss_weights)
124 loss_weights = {'dense_1': 1., 'dense_2': 2.}
125 model.compile(optimizer='adam', loss='mse', loss_weights=loss_weights)
168 model.compile(optimizer='adam', loss='mse', loss_weights=[1., 2.])
177 optimizer='adam', loss='mse', loss_weights={'unknown_output': 1.})
197 loss_weights = [1., 0.5]
202 loss_weights=loss_weights,
333 loss_weights = {'dense': 1., 'dropout': 0.5}
338 model.compile(optimizer, loss, metrics=metrics, loss_weights=loss_weights,
[all …]
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| D | training_utils.py | 1092 def prepare_loss_weights(output_names, loss_weights=None): argument
1112 if loss_weights is None:
1114 elif isinstance(loss_weights, dict):
1115 for name in loss_weights:
1120 weights_list = [loss_weights.get(name, 1.) for name in output_names]
1121 elif isinstance(loss_weights, list):
1122 if len(loss_weights) != len(output_names):
1127 str(loss_weights))
1128 weights_list = loss_weights
1131 str(loss_weights) + ' - expected a list of dicts.')
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| D | training_eager_test.py | 83 loss_weights = [1., 0.5]
89 loss_weights=loss_weights,
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| D | distributed_training_utils.py | 662 loss_weights=model.loss_weights,
714 loss_weights=model.loss_weights,
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| D | training.py | 158 loss_weights=None, argument
286 self.loss_weights = loss_weights
334 self.output_names, loss_weights)
2471 loss_weights=self.loss_weights,
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| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | hdf5_format.py | 132 'loss_weights': model.loss_weights,
238 loss_weights = training_config['loss_weights']
246 loss_weights=loss_weights,
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| /external/tensorflow/tensorflow/python/keras/ |
| D | models.py | 528 loss_weights=model.loss_weights,
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| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | keras_multi_worker_test.py | 136 loss_weights=model.loss_weights,
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| /external/tensorflow/tensorflow/contrib/tpu/python/tpu/ |
| D | keras_support.py | 1032 loss_weights=self.model.loss_weights,
1425 self._cpu_model.loss_weights,
1451 loss_weights=None, argument
1465 metrics_module.clone_metrics(metrics), loss_weights, sample_weight_mode,
1469 super(KerasTPUModel, self).compile(optimizer, loss, metrics, loss_weights,
2250 model.loss_weights,
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | head.py | 467 def multi_head(heads, loss_weights=None): argument
481 if loss_weights:
482 if len(loss_weights) != len(heads):
486 if loss_weights:
487 if len(losses) != len(loss_weights):
490 for loss, weight in zip(losses, loss_weights):
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.models.-model.pbtxt | 154 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| D | tensorflow.keras.-model.pbtxt | 154 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| D | tensorflow.keras.-sequential.pbtxt | 159 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| D | tensorflow.keras.layers.-linear-model.pbtxt | 159 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| D | tensorflow.keras.models.-sequential.pbtxt | 159 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.models.-model.pbtxt | 154 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| D | tensorflow.keras.-model.pbtxt | 154 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| D | tensorflow.keras.-sequential.pbtxt | 159 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| D | tensorflow.keras.models.-sequential.pbtxt | 159 …argspec: "args=[\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'sample_weight_…
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| /external/tensorflow/tensorflow/lite/python/ |
| D | lite_test.py | 1227 loss_weights=[1., 0.5])
|