| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | saving_utils.py | 226 weighted_metrics = None
229 weighted_metrics = _deserialize_nested_config(_deserialize_metric,
240 weighted_metrics=weighted_metrics,
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| D | metrics_serialization_test.py | 183 weighted_metrics=weighted_metric_input,
223 weighted_metrics=weighted_metric_input,
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| D | save_test.py | 389 weighted_metrics=[
431 weighted_metrics=[
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | compile_utils_test.py | 420 weighted_metrics=['accuracy']) # Should broadcast to both outputs.
454 weighted_metrics = metric_container.weighted_metrics
455 self.assertLen(weighted_metrics, 2)
456 self.assertEqual(weighted_metrics[0].name, 'output_1_accuracy')
457 self.assertEqual(weighted_metrics[1].name, 'output_2_accuracy')
472 weighted_metrics={
536 weighted_metrics={
610 metrics=['mae'], weighted_metrics=['mae'])
681 metrics=['mae'], weighted_metrics=['mse'])
700 metrics=['mae'], weighted_metrics=['mse'])
[all …]
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| D | training_v1.py | 244 weighted_metrics=None, argument
377 weighted_metrics)
387 self._compile_weighted_metrics = weighted_metrics
440 self._compile_eagerly(metrics, weighted_metrics, sample_weight_mode)
445 self._cache_output_metric_attributes(metrics, weighted_metrics)
1394 self, run_eagerly, sample_weight_mode, target_tensors, weighted_metrics): argument
1401 if weighted_metrics:
1460 def _compile_eagerly(self, metrics, weighted_metrics, sample_weight_mode): argument
1467 self._cache_output_metric_attributes(metrics, weighted_metrics)
1793 def _cache_output_metric_attributes(self, metrics, weighted_metrics): argument
[all …]
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| D | compile_utils.py | 287 def __init__(self, metrics=None, weighted_metrics=None, output_names=None): argument
292 self._user_weighted_metrics = weighted_metrics
295 self._weighted_metrics = weighted_metrics
313 def weighted_metrics(self): member in MetricsContainer
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| D | training_test.py | 943 weighted_metrics=['mae'],
1785 weighted_metrics=['mae', metrics_module.CategoricalAccuracy()],
1895 weighted_metrics=['mae', metrics_module.CategoricalAccuracy()],
2922 weighted_metrics=[metrics_module.MeanSquaredError()],
2934 weighted_metrics=[
2953 weighted_metrics={
2974 weighted_metrics=['accuracy'],
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| D | training.py | 492 weighted_metrics=None, argument
579 metrics, weighted_metrics, output_names=self.output_names)
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| /external/tensorflow/tensorflow/python/keras/distribute/ |
| D | multi_worker_test.py | 71 weighted_metrics=metrics_module.clone_metrics(
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| D | distributed_training_utils_v1.py | 758 weighted_metrics=metrics_module.clone_metrics(
810 weighted_metrics=metrics_module.clone_metrics(
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| /external/tensorflow/tensorflow/python/keras/ |
| D | metrics_correctness_test.py | 79 weighted_metrics=[
359 weighted_metrics=[
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| D | testing_utils.py | 262 weighted_metrics=['acc'],
265 model.compile('rmsprop', 'mse', weighted_metrics=['acc'])
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| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | temporal_sample_weights_correctness_test.py | 64 weighted_metrics=[metrics.MeanAbsoluteError(name='mae_2')],
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.experimental.-wide-deep-model.pbtxt | 190 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.models.-model.pbtxt | 189 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.-sequential.pbtxt | 195 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.models.-sequential.pbtxt | 195 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.experimental.-linear-model.pbtxt | 190 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.-model.pbtxt | 189 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.-sequential.pbtxt | 195 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.experimental.-wide-deep-model.pbtxt | 190 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.experimental.-linear-model.pbtxt | 190 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.-model.pbtxt | 189 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.models.-model.pbtxt | 189 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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| D | tensorflow.keras.models.-sequential.pbtxt | 195 …\'self\', \'optimizer\', \'loss\', \'metrics\', \'loss_weights\', \'weighted_metrics\', \'run_eage…
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