| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/core/ops/ |
| utils.h | 28 int num_features);
31 const Tensor& weight, float bias, int num_features,
35 // range [0, num_features). Must return the same set of
40 int32 num_features, int32 num_features_to_pick,
|
| utils.cc | 29 int num_features) {
33 for (int i = 0; i < num_features; i++) {
43 const Tensor& weight, float bias, int num_features,
51 CHECK_LT(feature_set[i], num_features);
61 int32 num_features, int32 num_features_to_pick,
69 const int32 feature = (rand[0] + rand[1]) % num_features;
|
| stochastic_hard_routing_gradient_op.cc | 61 auto num_features = c->Dim(input, 1);
65 c->set_output(1, c->Matrix(num_nodes, num_features));
66 c->set_output(2, c->MakeShape({num_points, num_nodes, num_features}));
127 const int32 num_features = variable
140 output_data_shape.AddDim(num_features);
146 output_parameters_shape.AddDim(num_features);
189 for (int k = 0; k < num_features; k++) {
205 tree_biases(j), num_features);
|
| k_feature_gradient_op.cc | 103 const int32 num_features = variable
119 out_data_shape.AddDim(num_features);
153 tensorforest::GetFeatureSet(layer_num_, j, random_seed_, num_features,
166 tree_biases(j), num_features, num_features_per_node);
175 CHECK_LT(feature_set[k], num_features);
|
| /external/harfbuzz_ng/src/ |
| hb-shape.h | 47 unsigned int num_features);
53 unsigned int num_features,
|
| hb-directwrite.h | 35 unsigned int num_features, float width);
|
| hb-shape.cc | 114 * @features: (array length=num_features) (allow-none): an array of user
116 * @num_features: the length of @features array
132 unsigned int num_features,
136 features, num_features,
139 hb_bool_t res = hb_shape_plan_execute (shape_plan, font, buffer, features, num_features);
151 * @features: (array length=num_features) (allow-none): an array of user
153 * @num_features: the length of @features array
165 unsigned int num_features)
167 hb_shape_full (font, buffer, features, num_features, nullptr);
|
| hb-ot-shape.h | 43 unsigned int num_features,
|
| main.cc | 137 int num_features = langsys.get_feature_count (); local
138 printf (" %d feature(s) found in language system\n", num_features);
139 for (int n_feature = 0; n_feature < num_features; n_feature++) {
140 printf (" Feature index %2d of %2d: %d\n", n_feature, num_features,
146 int num_features = g.get_feature_count (); local
147 printf (" %d feature(s) found in table\n", num_features);
148 for (int n_feature = 0; n_feature < num_features; n_feature++) {
151 printf (" Feature %2d of %2d: %c%c%c%c\n", n_feature, num_features,
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| input_pipeline_test.py | 50 def _make_csv_time_series(num_features, num_samples, test_tmpdir):
53 for feature_number in range(num_features)]
59 def _make_tfexample_series(num_features, num_samples, test_tmpdir):
69 for feature_number in range(num_features)])
74 def _make_numpy_time_series(num_features, num_samples):
76 values = times[:, None] * 2. + numpy.arange(num_features)[None, :]
84 self, time_series_reader, window_size, batch_size, num_features,
108 self.assertAllEqual([batch_size, window_size, num_features],
111 for feature_number in range(num_features):
120 num_features=1, window_size=2, batch_size=5
[all...] |
| estimators.py | 66 dtype=model.dtype, num_features=model.num_features)
171 shape=(self._model.num_features,))
251 if default_series_length else 0, self._model.num_features
255 self._model.num_features)))
301 num_features, exogenous_feature_columns=None, num_time_buckets=10,
315 num_features: The dimensionality of the time series (one for univariate,
356 periodicities=periodicities, num_features=num_features,
373 num_features=num_features
[all...] |
| /external/tensorflow/tensorflow/core/ops/ |
| boosted_trees_ops.cc | 44 .Input("stats_summary_list: num_features * float32")
50 .Attr("num_features: int >= 1") // not passed but populated automatically.
51 .Output("node_ids_list: num_features * int32")
52 .Output("gains_list: num_features * float32")
53 .Output("thresholds_list: num_features * int32")
54 .Output("left_node_contribs_list: num_features * float32")
55 .Output("right_node_contribs_list: num_features * float32")
59 int num_features;
61 TF_RETURN_IF_ERROR(c->GetAttr("num_features", &num_features));
[all...] |
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| varma.py | 25 Each element of ar_coefs and ma_coefs is a [num_features x num_features]
26 matrix. Each y(t, i) is a vector of length num_features. Indices in the above
73 num_features * max(autoregressive_order, moving_average_order + 1)
86 self.state_dimension = self.state_num_blocks * self.num_features
94 shape=[self.num_features, self.num_features, self.ar_order],
100 linalg_ops.eye(self.num_features, dtype=self.dtype)[None, :, :],
119 [self.num_features, self.state_dimension])
122 (self.state_num_blocks - 1) * self.num_features, dtype=self.dtype)
[all...] |
| structural_ensemble_test.py | 39 def simple_data(self, sample_every, dtype, period, num_samples, num_features):
42 scale=0.01, size=[num_samples, num_features])
44 numpy.arange(num_features)[None, ...]
49 values, [1, -1, num_features])}
53 num_features=1):
58 num_features=num_features)
62 num_features=num_features,
90 num_features=3
[all...] |
| structural_ensemble.py | 37 for feature in range(multivariate_configuration.num_features):
88 each dimension equal to num_features * (sum(periodicities) +
122 num_features=1))
140 for feature in range(configuration.num_features):
178 num_features * (sum(cycle_num_latent_values)
224 num_features=1))
252 for feature in range(configuration.num_features):
|
| /external/tensorflow/tensorflow/contrib/libsvm/python/ops/ |
| libsvm_ops.py | 31 def decode_libsvm(content, num_features, dtype=None, label_dtype=None):
37 num_features: The number of features.
42 features: A `SparseTensor` of the shape `[input_shape, num_features]`.
46 content, num_features, dtype=dtype, label_dtype=label_dtype)
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/models/ |
| forest_to_data_then_nn_test.py | 39 num_features=31,
57 self.params.num_features)
62 [[random.uniform(-1, 1) for i in range(self.params.num_features)]
75 [[random.uniform(-1, 1) for i in range(self.params.num_features)]
|
| k_feature_decisions_to_data_then_nn_test.py | 39 num_features=31,
56 self.params.num_features)
61 [[random.uniform(-1, 1) for i in range(self.params.num_features)]
76 [[random.uniform(-1, 1) for i in range(self.params.num_features)]
|
| decisions_to_data_then_nn_test.py | 39 num_features=31,
56 self.assertEquals(self.params.num_features, 31)
75 data = [[random.uniform(-1, 1) for i in range(self.params.num_features)]
94 [[random.uniform(-1, 1) for i in range(self.params.num_features)]
108 [[random.uniform(-1, 1) for i in range(self.params.num_features)]
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ |
| tensor_forest_test.py | 40 num_features=60).fill()
54 num_features=1000).fill()
64 num_features=1000).fill()
74 num_features=2,
90 num_features=2,
106 num_features=2,
124 num_features=2,
167 num_features=10,
190 num_features=10,
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| test_utils.h | 54 TestableDataSet(const std::vector<float>& data, int num_features)
56 num_features_(num_features),
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/kernel_tests/ |
| k_feature_routing_function_op_test.py | 41 num_features=2,
52 self.params.feature_bagging_fraction * self.params.num_features)
57 self.assertEquals(self.params.num_features, 2)
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| random_forest_test.py | 69 num_features=4,
92 num_features=13,
113 num_features=4,
152 num_features=4,
178 num_features=4,
206 num_features=13,
231 num_features=4,
258 num_features=4,
277 num_features=13,
299 num_features=4
[all...] |
| /external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
| conditioning_utils_impl.py | 66 num_features = tensor.shape[1:].num_elements()
72 layers.flatten(conditioning), num_features)
|
| /external/tensorflow/tensorflow/contrib/libsvm/python/kernel_tests/ |
| decode_libsvm_op_test.py | 38 content, num_features=6)
56 content, num_features=6, label_dtype=dtypes.float64)
|
