Searched refs:one_hot (Results 1 - 25 of 55) sorted by relevance

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/external/tensorflow/tensorflow/python/keras/_impl/keras/utils/
H A Dnp_utils_test.py40 for label, one_hot, expected_shape in zip(labels,
44 self.assertEqual(one_hot.shape, expected_shape)
46 self.assertTrue(np.all(one_hot.sum(axis=-1) == 1))
49 np.argmax(one_hot, -1).reshape(label.shape) == label))
/external/tensorflow/tensorflow/contrib/keras/api/keras/preprocessing/text/
H A D__init__.py21 from tensorflow.python.keras._impl.keras.preprocessing.text import one_hot namespace
/external/tensorflow/tensorflow/python/keras/preprocessing/text/
H A D__init__.py21 from tensorflow.python.keras._impl.keras.preprocessing.text import one_hot namespace
/external/tensorflow/tensorflow/compiler/tf2xla/kernels/
H A Done_hot_op.cc65 xla::ComputationDataHandle one_hot; variable
69 ctx->Input(3), &one_hot));
70 ctx->SetOutput(0, one_hot);
/external/tensorflow/tensorflow/contrib/gan/python/features/python/
H A Dconditioning_utils_impl.py76 def _one_hot_to_embedding(one_hot, embedding_size):
78 num_tokens = one_hot.shape[1]
79 label_id = math_ops.argmax(one_hot, axis=1)
/external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/
H A Dmnist.py77 def extract_labels(f, one_hot=False, num_classes=10):
82 one_hot: Does one hot encoding for the result.
100 if one_hot:
111 one_hot=False,
116 one_hot arg is used only if fake_data is true. `dtype` can be either
129 self.one_hot = one_hot
170 if self.one_hot:
215 one_hot=False,
225 [], [], fake_data=True, one_hot
[all...]
/external/tensorflow/tensorflow/python/keras/_impl/keras/preprocessing/
H A Dtext_test.py31 encoded = keras.preprocessing.text.one_hot(text, 5)
38 encoded = keras.preprocessing.text.one_hot(text, 5)
/external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_colorbot/
H A Drnn_colorbot_test.py37 chars = tf.one_hot(
/external/tensorflow/tensorflow/compiler/tf2xla/
H A Dxla_helpers.h109 xla::ComputationDataHandle* one_hot);
H A Dxla_helpers.cc232 xla::ComputationDataHandle* one_hot) {
270 *one_hot = builder->Select(
226 OneHot(xla::ComputationBuilder* builder, int64 depth, int axis, DataType index_type, const TensorShape& indices_shape, const xla::ComputationDataHandle& indices, const xla::ComputationDataHandle& on_value, const xla::ComputationDataHandle& off_value, xla::ComputationDataHandle* one_hot) argument
/external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/
H A Dmnist_test.py38 labels = tf.one_hot(digits, 10)
/external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/
H A Dresnet50_graph_test.py46 one_hot = np.zeros((batch_size, num_classes)).astype(np.float32)
47 one_hot[np.arange(batch_size), labels] = 1.
48 return images, one_hot
H A Dresnet50_test.py49 one_hot = tf.one_hot(labels, num_classes)
51 return images, one_hot
/external/tensorflow/tensorflow/contrib/gan/python/
H A Dtrain_test.py87 return (discriminator_model(inputs, _), array_ops.one_hot(
96 return (discriminator_model(inputs, _), array_ops.one_hot(
182 one_hot_labels=array_ops.one_hot([0, 1, 2], 10),
183 discriminator_real_classification_logits=array_ops.one_hot([0, 1, 3], 10),
184 discriminator_gen_classification_logits=array_ops.one_hot([0, 1, 4], 10))
190 one_hot_labels=array_ops.one_hot([0, 1, 2], 10),
191 discriminator_real_classification_logits=array_ops.one_hot([0, 1, 3], 10),
192 discriminator_gen_classification_logits=array_ops.one_hot([0, 1, 4], 10))
201 one_hot_labels=array_ops.one_hot([0, 1, 2], 10))
210 one_hot_labels=array_ops.one_hot([
[all...]
/external/tensorflow/tensorflow/contrib/kernel_methods/python/
H A Dlosses.py129 one_cold_labels = array_ops.one_hot(
/external/tensorflow/tensorflow/examples/learn/
H A Drandom_forest_mnist.py58 mnist = input_data.read_data_sets(FLAGS.data_dir, one_hot=False)
H A Dtext_classification_character_cnn.py49 features_onehot = tf.one_hot(features[CHARS_FEATURE], 256)
H A Dtext_classification_character_rnn.py45 byte_vectors = tf.one_hot(features[CHARS_FEATURE], 256, 1., 0.)
/external/tensorflow/tensorflow/contrib/distributions/python/ops/
H A Donehot_categorical.py183 samples = array_ops.one_hot(samples, self.event_size, dtype=self.dtype)
215 ret = array_ops.one_hot(ret, self.event_size, dtype=self.dtype)
/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/
H A Dlosses.py74 target_one_hot = array_ops.one_hot(indices=labels, depth=num_classes)
/external/tensorflow/tensorflow/contrib/data/python/ops/
H A Dresampling.py183 array_ops.one_hot(c, num_classes, dtype=dtypes.int64), 0))
/external/tensorflow/tensorflow/contrib/seq2seq/python/ops/
H A Dbeam_search_decoder.py231 self._finished = array_ops.one_hot(
303 log_probs = array_ops.one_hot( # shape(batch_sz, beam_sz)
554 lengths_to_add = array_ops.one_hot(
723 finished_row = array_ops.one_hot(
/external/tensorflow/tensorflow/contrib/tensor_forest/client/
H A Deval_metrics.py61 return array_ops.one_hot(math_ops.to_int32(targets), depth)
/external/tensorflow/tensorflow/python/debug/examples/
H A Ddebug_mnist.py45 one_hot=True,
/external/tensorflow/tensorflow/contrib/layers/python/layers/
H A Dfeature_column_test.py311 one_hot = fc.one_hot_column(sparse_column)
318 one_hot_output = one_hot._to_dnn_input_layer(
328 one_hot = fc.one_hot_column(weighted_ids)
329 self.assertEqual(one_hot.sparse_id_column.name, "ids_weighted_by_weights")
330 self.assertEqual(one_hot.length, 3)
385 one_hot = fc.one_hot_column(weighted_ids)
391 features, [one_hot])
399 one_hot = fc.one_hot_column(ids)
402 features, [one_hot])

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