/external/tensorflow/tensorflow/examples/learn/ |
text_classification.py | 48 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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text_classification_character_cnn.py | 91 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
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/external/tensorflow/tensorflow/examples/tutorials/estimators/ |
abalone.py | 98 loss = tf.losses.mean_squared_error(labels, predictions)
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/external/tensorflow/tensorflow/examples/tutorials/mnist/ |
mnist_with_summaries.py | 119 # So here we use tf.losses.sparse_softmax_cross_entropy on the 123 cross_entropy = tf.losses.sparse_softmax_cross_entropy(
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/external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
gru_test.py | 158 self.assertEqual(len(layer.losses), 3)
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normalization_test.py | 73 self.assertEqual(len(layer.losses), 2)
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simplernn_test.py | 158 self.assertEqual(len(layer.losses), 3)
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recurrent.py | 213 def losses(self): member in class:StackedRNNCells 214 losses = [] 217 losses += cell.losses 218 return losses + self._losses 792 def losses(self): member in class:RNN 793 losses = [] 795 losses += self.cell.losses 796 return losses + self._losse [all...] |
/external/tensorflow/tensorflow/python/layers/ |
base_test.py | 48 # updates, losses only supported in GRAPH mode 50 self.assertEqual(layer.losses, []) 90 self.assertEqual(len(layer.losses), 1) 628 self.assertEqual(len(layer.losses), 2) 639 self.assertEqual(len(layer.losses), 3) 641 # Check that we are successfully filtering out irrelevant losses
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core_test.py | 182 self.assertListEqual(dense.losses, loss_keys) 192 self.assertListEqual(dense.losses, loss_keys) 213 self.assertListEqual(dense.losses, loss_keys)
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/external/tensorflow/tensorflow/contrib/slim/python/slim/ |
learning_test.py | 30 from tensorflow.contrib.losses.python.losses import loss_ops [all...] |
/external/tensorflow/tensorflow/python/kernel_tests/ |
variable_scope_test.py | 246 losses = ops.get_collection(ops.GraphKeys.REGULARIZATION_LOSSES) 247 self.assertEqual(1, len(losses)) 248 self.assertAllClose(self.evaluate(losses[0]), 0.4) 262 losses = ops.get_collection(ops.GraphKeys.REGULARIZATION_LOSSES) 263 self.assertEqual(3, len(losses)) 265 self.assertAllClose(self.evaluate(losses[0]), 0.4) 266 self.assertAllClose(self.evaluate(losses[1]), 0.4) 267 self.assertAllClose(self.evaluate(losses[2]), 0.5) 273 losses = ops.get_collection(ops.GraphKeys.REGULARIZATION_LOSSES) 274 self.assertEqual(3, len(losses)) # No new loss added [all...] |
/external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
head_test.py | 38 from tensorflow.python.ops.losses import losses 144 n_classes=3, loss_reduction=losses.Reduction.NONE) 493 n_classes, loss_reduction=losses.Reduction.SUM_OVER_BATCH_SIZE) 687 loss_reduction=losses.Reduction.SUM_BY_NONZERO_WEIGHTS) [all...] |
/external/tensorflow/tensorflow/contrib/training/python/training/ |
evaluation_test.py | 29 from tensorflow.contrib.losses.python.losses import loss_ops
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/external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
resnet50_test.py | 58 loss = tf.losses.softmax_cross_entropy(
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/external/tensorflow/tensorflow/examples/speech_commands/ |
train.py | 147 cross_entropy_mean = tf.losses.sparse_softmax_cross_entropy(
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/external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
losses_impl_test.py | 15 """Tests for TFGAN losses.""" 21 from tensorflow.contrib.gan.python.losses.python import losses_impl as tfgan_losses 34 from tensorflow.python.ops.losses import losses as tf_losses 237 # TODO(joelshor): Refactor this test to use the same code as the other losses.
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/external/tensorflow/tensorflow/python/eager/ |
backprop_test.py | 635 losses = [] 638 losses.append(loss.numpy()) 641 self.assertAllEqual(losses, [4.0, 3., 2., 1., 0.])
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/external/tensorflow/tensorflow/python/keras/_impl/keras/ |
models_test.py | 48 model.compile(loss=keras.losses.MSE, 87 return keras.losses.mse(y_true, y_pred) 122 model.compile(loss=keras.losses.MSE,
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integration_test.py | 169 # and internal losses can be shared. 195 self.assertEqual(len(model.losses), 2) 204 # and internal losses can be shared.
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/external/tensorflow/tensorflow/python/estimator/canned/ |
head_test.py | 42 from tensorflow.python.ops.losses import losses 112 n_classes=3, loss_reduction=losses.Reduction.NONE) 575 n_classes, loss_reduction=losses.Reduction.SUM_OVER_BATCH_SIZE) 753 n_classes=3, loss_reduction=losses.Reduction.SUM_BY_NONZERO_WEIGHTS) [all...] |
/external/tensorflow/tensorflow/contrib/legacy_seq2seq/python/kernel_tests/ |
seq2seq_test.py | [all...] |
/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
cudnn_rnn_test.py | 50 from tensorflow.python.ops.losses import losses 779 loss_op = losses.log_loss( [all...] |
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
dnn_linear_combined_test.py | 47 from tensorflow.python.ops.losses import losses 82 loss = losses.mean_squared_error(labels, logits) [all...] |
/external/libvpx/libvpx/ |
configure | 51 ${toggle_error_concealment} enable this option to get a decoder which is able to conceal losses
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