| /external/libtextclassifier/utils/ |
| D | token-feature-extractor_test.cc | 47 std::vector<float> dense_features; in TEST_F() local
50 &dense_features); in TEST_F()
73 EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0, 1.0})); in TEST_F()
76 dense_features.clear(); in TEST_F()
78 &dense_features); in TEST_F()
104 EXPECT_THAT(dense_features, testing::ElementsAreArray({-1.0, 0.0})); in TEST_F()
117 std::vector<float> dense_features; in TEST_F() local
120 &dense_features); in TEST_F()
124 EXPECT_THAT(dense_features, testing::ElementsAreArray({1.0, 1.0})); in TEST_F()
127 dense_features.clear(); in TEST_F()
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| D | token-feature-extractor.cc | 84 std::vector<float>* dense_features) const { in Extract()
85 if (!dense_features) { in Extract()
91 *dense_features = ExtractDenseFeatures(token, is_in_span); in Extract()
106 std::vector<float> dense_features; in ExtractDenseFeatures() local
114 dense_features.push_back(1.0); in ExtractDenseFeatures()
116 dense_features.push_back(-1.0); in ExtractDenseFeatures()
120 dense_features.push_back(1.0); in ExtractDenseFeatures()
122 dense_features.push_back(-1.0); in ExtractDenseFeatures()
129 dense_features.push_back(1.0); in ExtractDenseFeatures()
132 dense_features.push_back(-1.0); in ExtractDenseFeatures()
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| D | token-feature-extractor.h | 78 std::vector<float>* dense_features) const;
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| /external/libtextclassifier/actions/ |
| D | feature-processor.cc | 82 const std::vector<float>& dense_features, in AppendFeatures() argument
100 output_features->insert(output_features->end(), dense_features.begin(), in AppendFeatures()
101 dense_features.end()); in AppendFeatures()
110 std::vector<float> dense_features; in AppendTokenFeatures() local
112 &sparse_features, &dense_features)) { in AppendTokenFeatures()
116 return AppendFeatures(sparse_features, dense_features, embedding_executor, in AppendTokenFeatures()
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| D | feature-processor.h | 44 const std::vector<float>& dense_features,
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| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ops/ |
| D | 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)
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| /external/tensorflow/tensorflow/core/kernels/tensor_forest/ |
| D | prediction_ops.cc | 42 auto dense_features = dense_features_t->matrix<float>(); in Compute() local
63 auto traverse = [this, &out, &dense_features, decision_tree_resource, in Compute()
69 decision_tree_resource->TraverseTree(example_id, &dense_features); in Compute()
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| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
| D | sdca_optimizer.py | 149 dense_features, sparse_features, sparse_feature_with_values = [], [], []
168 dense_features.append(transformed_tensor)
256 dense_features=dense_features,
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | sdca_ops_test.cc | 192 std::vector<NodeBuilder::NodeOut> dense_features; in GetGraphs() local
193 dense_features.reserve(num_dense_feature_groups); in GetGraphs()
195 dense_features.push_back(NodeBuilder::NodeOut( in GetGraphs()
217 .Input(dense_features) in GetGraphs()
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| D | sdca_internal.cc | 477 auto dense_features = dense_features_inputs[i].template matrix<float>(); in CreateDenseFeatureRepresentation() local
480 new Example::DenseVector{dense_features, example_id}); in CreateDenseFeatureRepresentation()
482 if (!weights.DenseIndexValid(i, dense_features.dimension(1) - 1)) { in CreateDenseFeatureRepresentation()
486 dense_features.dimension(1)); in CreateDenseFeatureRepresentation()
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| /external/libtextclassifier/annotator/ |
| D | feature-processor.cc | 809 std::vector<float> dense_features; in AppendTokenFeaturesWithCache() local
812 /*sparse_features=*/nullptr, &dense_features)) { in AppendTokenFeaturesWithCache()
820 output_features->insert(output_features->end(), dense_features.begin(), in AppendTokenFeaturesWithCache()
821 dense_features.end()); in AppendTokenFeaturesWithCache()
828 std::vector<float> dense_features; in AppendTokenFeaturesWithCache() local
831 &sparse_features, &dense_features)) { in AppendTokenFeaturesWithCache()
858 output_features->insert(output_features->end(), dense_features.begin(), in AppendTokenFeaturesWithCache()
859 dense_features.end()); in AppendTokenFeaturesWithCache()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_TensorForestTreePredict.pbtxt | 17 name: "dense_features"
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| D | api_def_SdcaOptimizerV2.pbtxt | 24 name: "dense_features"
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| D | api_def_SdcaOptimizer.pbtxt | 23 name: "dense_features"
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| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/ |
| D | tree_utils.cc | 541 const auto dense_features = dense.matrix<float>(); in GetDenseFunctor() local
544 return [dense_features](int32 i, int32 feature) { in GetDenseFunctor()
545 return dense_features(i, feature); in GetDenseFunctor()
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.train.pbtxt | 101 …_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_w…
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| D | tensorflow.raw_ops.pbtxt | 3229 …_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_w…
3233 …_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_w…
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| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| D | sdca_ops.py | 318 dense_features = self._convert_n_to_tensor(examples['dense_features'])
324 result_dense += math_ops.matmul(dense_features[i],
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| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/kernel_tests/ |
| D | sdca_ops_test.py | 107 dense_features=[],
126 dense_features=[],
198 dense_features=dense_tensors,
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| /external/tensorflow/tensorflow/python/feature_column/ |
| D | feature_column_v2_test.py | 3180 dense_features = fc.DenseFeatures(fc.numeric_column('a'))
3181 inputs = self.evaluate(dense_features(features))
3211 dense_features = fc.DenseFeatures([embedding_column])
3214 inputs = dense_features(features)
3215 variables = dense_features.variables
3225 _ = dense_features(features)
3227 self.assertEqual(variables[0], dense_features.variables[0])
3256 dense_features = fc.DenseFeatures([embedding_column])
3260 matrix = dense_features(features)
3358 dense_features = fc.DenseFeatures([price1, price2])
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.train.pbtxt | 429 …_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_w…
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| D | tensorflow.raw_ops.pbtxt | 3229 …_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_w…
3233 …_indices\', \'sparse_feature_indices\', \'sparse_feature_values\', \'dense_features\', \'example_w…
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| /external/tensorflow/tensorflow/go/op/ |
| D | wrappers.go | 3655 func TensorForestTreePredict(scope *Scope, tree_handle tf.Output, dense_features tf.Output, logits_…
3663 tree_handle, dense_features,
8490 …arse_feature_indices []tf.Output, sparse_feature_values []tf.Output, dense_features []tf.Output, e…
8501 …eature_indices), tf.OutputList(sparse_feature_values), tf.OutputList(dense_features), example_weig…
16274 …arse_feature_indices []tf.Output, sparse_feature_values []tf.Output, dense_features []tf.Output, e…
16285 …eature_indices), tf.OutputList(sparse_feature_values), tf.OutputList(dense_features), example_weig…
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| /external/tensorflow/tensorflow/core/ops/ |
| D | ops.pbtxt | 33489 name: "dense_features"
33608 name: "dense_features"
41310 name: "dense_features"
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| /external/tensorflow/tensorflow/core/ops/compat/ |
| D | ops_history.v2.pbtxt | 67177 name: "dense_features"
67295 name: "dense_features"
67414 name: "dense_features"
84162 name: "dense_features"
|