Searched refs:training_loss (Results 1 – 8 of 8) sorted by relevance
| /external/tensorflow/tensorflow/contrib/distribute/python/examples/ |
| D | mnist_tf1_tpu.py | 99 training_loss = tf.keras.metrics.Mean("training_loss", dtype=tf.float32)
113 update_loss = training_loss.update_state(loss)
137 training_loss_result = training_loss.result()
149 training_loss.variables +
169 training_loss.reset_states()
|
| D | mnist_eager_multigpu.py | 106 training_loss = tf.keras.metrics.Mean("training_loss", dtype=tf.float32)
120 training_loss.update_state(loss)
151 training_loss.result(), training_accuracy.result() * 100))
152 training_loss.reset_states()
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | target_column_test.py | 53 sess.run(target_column.training_loss(prediction, labels, features)),
161 training_loss = target_column.training_loss(predictions, labels, features)
167 self.assertAlmostEqual(8.6 / 2, sess.run(training_loss), places=3)
|
| D | target_column.py | 204 def training_loss(self, logits, target, features, name="training_loss"): member in _TargetColumn
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/ |
| D | hybrid_model.py | 108 return self.optimizer.minimize(self.training_loss(data, labels))
130 def training_loss(self, data, labels): member in HybridModel
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | dnn_linear_combined.py | 328 def _make_training_op(training_loss): argument
335 loss=training_loss,
351 loss=training_loss,
|
| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | estimator_training_test.py | 225 training_loss, _ = self._extract_loss_and_global_step(self._model_dir)
226 self.assertIsNotNone(training_loss)
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ |
| D | tensor_forest.py | 548 def training_loss(self, features, labels, name='training_loss'): member in RandomForestGraphs
|