| /external/libtextclassifier/ |
| token-feature-extractor_test.cc | 42 std::vector<float> dense_features; local
45 &dense_features);
68 EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0, 1.0}));
71 dense_features.clear();
73 &dense_features);
99 EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0, 0.0}));
113 std::vector<float> dense_features; local
116 &dense_features);
120 EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0, 1.0}));
123 dense_features.clear()
143 std::vector<float> dense_features; local
214 std::vector<float> dense_features; local
246 std::vector<float> dense_features; local
281 std::vector<float> dense_features; local
306 std::vector<float> dense_features; local
331 std::vector<float> dense_features; local
356 std::vector<float> dense_features; local
379 std::vector<float> dense_features; local
413 std::vector<float> dense_features; local
473 std::vector<float> dense_features; local
475 extractor.Extract(Token(), false, &sparse_features, &dense_features); local
500 std::vector<float> dense_features; local
[all...] |
| token-feature-extractor.cc | 84 std::vector<float>* dense_features) const {
85 if (!dense_features) {
91 *dense_features = ExtractDenseFeatures(token, is_in_span);
106 std::vector<float> dense_features; local
114 dense_features.push_back(1.0);
116 dense_features.push_back(-1.0);
120 dense_features.push_back(1.0);
122 dense_features.push_back(-1.0);
129 dense_features.push_back(1.0);
132 dense_features.push_back(-1.0)
[all...] |
| token-feature-extractor.h | 78 std::vector<float>* dense_features) const;
|
| feature-processor.cc | 944 std::vector<float> dense_features; local
963 std::vector<float> dense_features; local
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ops/ |
| data_ops.py | 124 dense_features = []
145 col_spec.name = GetColumnName(k, len(dense_features))
154 dense_features.append(CastToFloat(data[k]))
158 if dense_features:
159 processed_dense_features = array_ops.concat(dense_features, 1)
175 col_spec.name = 'dense_features'
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| sdca_optimizer.py | 135 dense_features, sparse_features, sparse_feature_with_values = [], [], []
154 dense_features.append(transformed_tensor)
214 dense_features=dense_features,
|
| /external/tensorflow/tensorflow/core/kernels/ |
| sdca_ops_test.cc | 192 std::vector<NodeBuilder::NodeOut> dense_features; local
193 dense_features.reserve(num_dense_feature_groups);
195 dense_features.push_back(NodeBuilder::NodeOut(
217 .Input(dense_features)
|
| sdca_internal.cc | 343 context->input_list("dense_features", &dense_features_inputs));
463 auto dense_features = dense_features_inputs[i].template matrix<float>();
466 new Example::DenseVector{dense_features, example_id});
468 if (!weights.DenseIndexValid(i, dense_features.dimension(1) - 1)) {
472 dense_features.dimension(1));
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/ |
| tree_utils.cc | 541 const auto dense_features = dense.matrix<float>(); local
544 return [dense_features](int32 i, int32 feature) {
545 return dense_features(i, feature);
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| sdca_ops.py | 74 dense_features: list of dense tensors of type float32.
122 'dense_features'
124 self._assertList(['sparse_features', 'dense_features'], examples)
246 dense_features = self._convert_n_to_tensor(examples['dense_features'])
252 result_dense += math_ops.matmul(dense_features[i],
275 ['example_weights', 'sparse_features', 'dense_features'], examples)
276 self._assertList(['sparse_features', 'dense_features'], examples)
335 self._convert_n_to_tensor(self._examples['dense_features']),
445 'example_labels', 'example_weights', 'sparse_features', 'dense_features'
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| sdca_ops_test.py | 99 dense_features=[],
153 dense_features=dense_tensors,
[all...] |
| /external/tensorflow/tensorflow/go/op/ |
| wrappers.go | [all...] |
