| /external/tensorflow/tensorflow/python/debug/examples/ |
| debug_keras.py | 32 num_examples = 8
36 xs = np.zeros([num_examples, input_dims])
37 ys = np.zeros([num_examples, output_dims])
39 (xs, ys)).repeat(num_examples).batch(int(num_examples / steps_per_epoch))
|
| /external/tensorflow/tensorflow/core/kernels/ |
| sdca_ops_test.cc | 88 const int num_examples) {
89 const int x_size = num_examples * 4;
96 const int num_examples) {
97 const int x_size = num_examples * 4;
122 void GetGraphs(const int32 num_examples, const int32 num_sparse_feature_groups,
179 SparseExampleIndices(g, sparse_features_per_group, num_examples)));
184 SparseFeatureIndices(g, sparse_features_per_group, num_examples)));
189 NodeBuilder::NodeOut(RandomZeroOrOne(g, num_examples * 4)));
196 RandomZeroOrOneMatrix(g, num_examples, dense_features_per_group)));
199 Node* const weights = Ones(g, num_examples);
[all...] |
| sdca_internal.cc | 247 for (int example_id = 0; example_id < num_examples(); ++example_id) {
270 auto local_gen = generator.ReserveSamples32(num_examples());
284 while (id < num_examples() && num_retries < num_examples()) {
295 examples_not_seen.reserve(num_examples());
296 for (int i = 0; i < num_examples(); ++i) {
305 for (int i = id; i < num_examples(); ++i) {
349 // The static_cast here is safe since num_examples can be at max an int.
350 const int num_examples = static_cast<int>(example_weights.size()); local
360 examples_.resize(num_examples);
[all...] |
| sdca_internal.h | 337 int num_examples() const { return examples_.size(); } function in class:tensorflow::sdca::Examples
352 const DeviceBase::CpuWorkerThreads& worker_threads, int num_examples,
363 const DeviceBase::CpuWorkerThreads& worker_threads, int num_examples,
371 const DeviceBase::CpuWorkerThreads& worker_threads, int num_examples,
|
| sdca_ops.cc | 144 TensorShape expected_example_state_shape({examples.num_examples(), 4});
173 // num_examples which is an int.
228 examples.num_examples(), kCostPerUnit, train_step);
|
| /external/tensorflow/tensorflow/examples/how_tos/reading_data/ |
| convert_to_records.py | 44 num_examples = data_set.num_examples
46 if images.shape[0] != num_examples:
48 (images.shape[0], num_examples))
56 for index in range(num_examples):
|
| /external/tensorflow/tensorflow/tools/gcs_test/python/ |
| gcs_smoke.py | 34 flags.DEFINE_integer("num_examples", 10, "Number of examples to generate")
39 def create_examples(num_examples, input_mean):
41 ids = np.arange(num_examples).reshape([num_examples, 1])
42 inputs = np.random.randn(num_examples, 1) + input_mean
45 for row in range(num_examples):
208 example_data = create_examples(FLAGS.num_examples, 5)
223 if read_count != FLAGS.num_examples:
226 FLAGS.num_examples))
241 for _ in range(FLAGS.num_examples)
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/examples/ |
| mnist.py | 106 batch_size = min(FLAGS.batch_size, data_set.num_examples)
107 steps_per_epoch = data_set.num_examples // batch_size
108 num_examples = steps_per_epoch * batch_size
115 precision = true_count / num_examples
117 (num_examples, true_count, precision))
|
| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| fully_connected_feed.py | 104 steps_per_epoch = data_set.num_examples // FLAGS.batch_size
105 num_examples = steps_per_epoch * FLAGS.batch_size
111 precision = float(true_count) / num_examples
113 (num_examples, true_count, precision))
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_estimator_test.py | 519 num_examples = 40
522 constant_op.constant([str(x + 1) for x in range(num_examples)]),
526 constant_op.constant([[0.0]] * num_examples),
528 for i in range(num_examples)])
563 num_examples = 200
564 half = int(num_examples / 2)
567 constant_op.constant([str(x + 1) for x in range(num_examples)]),
616 num_examples = 200
617 half = int(num_examples / 2)
620 constant_op.constant([str(x + 1) for x in range(num_examples)]),
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| gmm_ops_test.py | 39 self.num_examples = 1000
44 self.data, self.true_assignments = self.make_data(self.num_examples)
48 self.num_examples, self.centers)
136 self.assertEqual((self.num_examples, 1), scores.shape)
|
| gmm_ops.py | 285 Updates a matrix with dimension num_examples X num_classes.
289 shard: current data shard, 1 X num_examples X dimensions.
309 shard: current data shard, 1 X num_examples X dimensions.
311 Returns a matrix num_examples * num_classes.
320 # num_classes X num_examples
331 Updates a matrix with dimension num_examples X num_classes.
335 shard: current data shard, 1 X num_examples X dimensions.
375 shard: current data shard, 1 X num_examples X dimensions.
405 num_examples = math_ops.cast(math_ops.reduce_sum(final_points_in_k),
408 (num_examples + MEPS)
[all...] |
| /external/tensorflow/tensorflow/core/ops/ |
| parsing_ops.cc | 173 shape_inference::DimensionHandle num_examples = c->Dim(input, 0);
197 TF_RETURN_IF_ERROR(c->Concatenate(c->Vector(num_examples), s, &s));
219 c->Concatenate(c->Matrix(num_examples, c->UnknownDim()), s, &s));
225 c->set_output(output_idx++, c->Vector(num_examples));
|
| /external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
| virtual_batchnorm_test.py | 130 num_examples = 4
132 range(num_examples)]
138 for i in range(num_examples):
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| sdca_ops_test.py | 113 def make_random_examples_and_variables_dicts(num_examples, dim, num_non_zero):
118 [i for i in range(num_examples) for _ in range(num_non_zero)], [
119 i for _ in range(num_examples)
122 [num_non_zero**(-0.5) for _ in range(num_examples * num_non_zero)])
127 example_weights=[random.random() for _ in range(num_examples)],
129 1. if random.random() > 0.5 else 0. for _ in range(num_examples)
131 example_ids=[str(i) for i in range(num_examples)])
395 num_examples = 1000
401 num_examples, dim, non_zeros)
[all...] |
| /external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/ |
| cifar10_eval.py | 80 num_iter = int(math.ceil(FLAGS.num_examples / 128))
167 '--num_examples',
|
| /external/tensorflow/tensorflow/core/util/ |
| example_proto_fast_parsing.cc | 1763 int num_examples = serialized.size(); local
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| linear_test.py | [all...] |
| /external/tensorflow/tensorflow/lite/kernels/ |
| bidirectional_sequence_rnn_test.cc | 1027 const int num_examples = 64; local
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/ |
| mnist.py | 176 def num_examples(self): member in class:DataSet
|
