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  /external/tensorflow/tensorflow/examples/learn/
text_classification.py 48 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
text_classification_character_cnn.py 91 loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)
  /external/tensorflow/tensorflow/examples/tutorials/estimators/
abalone.py 98 loss = tf.losses.mean_squared_error(labels, predictions)
  /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(
  /external/tensorflow/tensorflow/python/keras/_impl/keras/layers/
gru_test.py 158 self.assertEqual(len(layer.losses), 3)
normalization_test.py 73 self.assertEqual(len(layer.losses), 2)
simplernn_test.py 158 self.assertEqual(len(layer.losses), 3)
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
core_test.py 182 self.assertListEqual(dense.losses, loss_keys)
192 self.assertListEqual(dense.losses, loss_keys)
213 self.assertListEqual(dense.losses, loss_keys)
  /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
  /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/
resnet50_test.py 58 loss = tf.losses.softmax_cross_entropy(
  /external/tensorflow/tensorflow/examples/speech_commands/
train.py 147 cross_entropy_mean = tf.losses.sparse_softmax_cross_entropy(
  /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.
  /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.])
  /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,
integration_test.py 169 # and internal losses can be shared.
195 self.assertEqual(len(model.losses), 2)
204 # and internal losses can be shared.
  /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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