| /external/libvpx/libvpx/vp9/common/ |
| vp9_seg_common.c | 35 SEG_LVL_FEATURES feature_id) {
36 seg->feature_mask[segment_id] |= 1 << feature_id;
39 int vp9_seg_feature_data_max(SEG_LVL_FEATURES feature_id) {
40 return seg_feature_data_max[feature_id];
43 int vp9_is_segfeature_signed(SEG_LVL_FEATURES feature_id) {
44 return seg_feature_data_signed[feature_id];
48 SEG_LVL_FEATURES feature_id, int seg_data) {
49 assert(seg_data <= seg_feature_data_max[feature_id]);
51 assert(seg_feature_data_signed[feature_id]);
52 assert(-seg_data <= seg_feature_data_max[feature_id]);
[all...] |
| vp9_seg_common.h | 54 SEG_LVL_FEATURES feature_id) {
55 return seg->enabled && (seg->feature_mask[segment_id] & (1 << feature_id));
61 SEG_LVL_FEATURES feature_id);
63 int vp9_seg_feature_data_max(SEG_LVL_FEATURES feature_id);
65 int vp9_is_segfeature_signed(SEG_LVL_FEATURES feature_id);
68 SEG_LVL_FEATURES feature_id, int seg_data);
71 SEG_LVL_FEATURES feature_id) {
72 return seg->feature_data[segment_id][feature_id];
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/learner/common/accumulators/ |
| class-partition-key.h | 28 ClassPartitionKey() : class_id(-1), partition_id(-1), feature_id(-1) {}
31 : class_id(c), partition_id(p), feature_id(f) {}
34 return (feature_id == other.feature_id) &&
43 return Hash64Combine(class_partition, key.feature_id);
54 uint64 feature_id; member in struct:tensorflow::boosted_trees::learner::ClassPartitionKey
|
| feature-stats-accumulator.h | 49 uint64 feature_id, const StatsType& stats) {
51 class_id, partition_id, feature_id)]);
58 uint64 feature_id) const {
60 ClassPartitionKey(class_id, partition_id, feature_id));
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| input_data.cc | 69 val = GetExampleValue(example, test.feature_id());
85 int example, const decision_trees::FeatureId& feature_id) const {
87 safe_strto32(feature_id.id().value(), &feature);
95 float TensorDataSet::GetExampleValue(int example, int32 feature_id) const {
96 if (feature_id >= input_spec_.dense_features_size()) {
98 feature_id);
100 return (*dense_data_)(example, feature_id);
122 decision_trees::FeatureId* feature_id,
135 *feature_id = available_features_[rand_feature];
142 *feature_id = decision_trees::FeatureId()
[all...] |
| test_utils.h | 59 float GetExampleValue(int example, int32 feature_id) const override {
60 return data_[example * num_features_ + feature_id];
|
| split_collection_operators.cc | 118 decision_trees::FeatureId feature_id; local
119 input_data->RandomSample(example, &feature_id, &bias, &type);
124 *test->mutable_feature_id() = feature_id;
129 *test.mutable_feature_id() = feature_id;
|
| decision_node_evaluator.cc | 54 safe_strto32(test.feature_id().id().value(), &feature_num_);
100 safe_strto32(test.feature_id().id().value(), &feature_num_);
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| custom_export_strategy.py | 144 feature_id = split.feature_column
146 inequality_test.feature_id.id.value = sorted_feature_names[feature_id]
153 feature_id = split.feature_column + num_dense
155 inequality_test.feature_id.id.value = (
157 (sorted_feature_names[feature_id], split.dimension_id))
158 model_and_features.features.pop(sorted_feature_names[feature_id])
159 (model_and_features.features[inequality_test.feature_id.id.value]
170 feature_id = split.feature_column + num_dense
172 inequality_test.feature_id.id.value =
[all...] |
| custom_export_strategy_test.py | 80 feature_id: 5
194 feature_id {
229 feature_id {
254 feature_id {
303 feature_id {
|
| /external/tensorflow/tensorflow/contrib/decision_trees/proto/ |
| generic_tree_model_extensions.proto | 15 FeatureId feature_id = 1;
|
| generic_tree_model.proto | 31 FeatureId feature_id = 1 [deprecated = true];
34 // Given a FeatureId feature_id, the feature's description is in
35 // features[feature_id.id.value].
160 FeatureId feature_id = 1;
|
| /external/libvpx/libvpx/vp9/encoder/ |
| vp9_segmentation.h | 25 SEG_LVL_FEATURES feature_id);
27 SEG_LVL_FEATURES feature_id);
|
| vp9_segmentation.c | 40 SEG_LVL_FEATURES feature_id) {
41 seg->feature_mask[segment_id] &= ~(1 << feature_id);
45 SEG_LVL_FEATURES feature_id) {
46 seg->feature_data[segment_id][feature_id] = 0;
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/ops/ |
| stats_accumulator_ops.cc | 99 <partition_id, feature_id, feature_dimension_id>.
101 <partition_id, feature_id, feature_dimension_id>.
183 gradients: A vector of gradients for each slot in <partition_id, feature_id,
185 hessians: A vector of hessians for each slot in <partition_id, feature_id,
317 <partition_id, feature_id, feature_dimension_id>.
319 <partition_id, feature_id, feature_dimension_id>.
356 in <partition_id, feature_id, feature_dimension_id>.
358 in <partition_id, feature_id, feature_dimension_id>>.
403 gradients: A vector of gradients for each slot in <partition_id, feature_id,
405 hessians: A vector of hessians for each slot in <partition_id, feature_id,
[all...] |
| /hardware/qcom/display/msm8996/sdm/include/private/ |
| color_params.h | 460 inline DisplayError AddFeature(uint32_t feature_id, PPFeatureInfo *feature) {
461 if (feature_id < kMaxNumPPFeatures) {
462 if (feature_[feature_id]) {
463 delete feature_[feature_id];
464 feature_[feature_id] = NULL;
466 feature_[feature_id] = feature;
|
| /external/tensorflow/tensorflow/contrib/lite/models/smartreply/ops/ |
| extract_feature.cc | 94 int64_t feature_id = local
96 label->data.i32[i] = static_cast<int32_t>(feature_id);
|
| /system/extras/simpleperf/ |
| record_file_format.h | 96 std::string GetFeatureName(int feature_id);
|
| /hardware/qcom/display/msm8909/sdm/include/private/ |
| color_params.h | 601 inline DisplayError AddFeature(uint32_t feature_id, PPFeatureInfo *feature) {
602 if (feature_id < kMaxNumPPFeatures) {
603 if (feature_[feature_id]) {
604 delete feature_[feature_id];
605 feature_[feature_id] = NULL;
607 feature_[feature_id] = feature;
|
| /hardware/qcom/display/msm8909w_3100/sdm/include/private/ |
| color_params.h | 584 inline DisplayError AddFeature(uint32_t feature_id, PPFeatureInfo *feature) {
585 if (feature_id < kMaxNumPPFeatures) {
586 if (feature_[feature_id]) {
587 delete feature_[feature_id];
588 feature_[feature_id] = NULL;
590 feature_[feature_id] = feature;
|
| /hardware/qcom/display/msm8998/sdm/include/private/ |
| color_params.h | 580 inline DisplayError AddFeature(uint32_t feature_id, PPFeatureInfo *feature) {
581 if (feature_id < kMaxNumPPFeatures) {
582 if (feature_[feature_id]) {
583 delete feature_[feature_id];
584 feature_[feature_id] = NULL;
586 feature_[feature_id] = feature;
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/trees/ |
| decision_tree.cc | 83 node_id = features.find(split.feature_id()) != features.end()
93 for (const int64 feature_id :
96 split.feature_ids().end(), feature_id)) {
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
| stats_accumulator_ops.cc | 42 PartitionKey() : partition_id(-1), feature_id(-1), dimension(-1) {}
45 : partition_id(p), feature_id(f), dimension(d) {}
49 (dimension == other.dimension) && (feature_id == other.feature_id);
62 (a.feature_id < b.feature_id)) {
73 int64 feature_id; member in struct:tensorflow::boosted_trees::__anon39136::PartitionKey
164 feature_ids(i, 0) = iter.first.feature_id;
209 feature_ids(i, 0) = iter.first.feature_id;
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/learner/batch/ |
| categorical_split_handler_test.py | 125 self.assertEqual(2, split_node.feature_id)
160 self.assertEqual(1, split_node.feature_id)
230 self.assertEqual(1, split_node.feature_id)
238 self.assertEqual(1, split_node.feature_id)
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/ |
| examples_iterable.h | 126 const int32 feature_id = indices(row_idx, 1); local
131 feature_id,
|
