Searched refs:scores_data (Results 1 – 3 of 3) sorted by relevance
| /external/tensorflow/tensorflow/core/kernels/ |
| D | non_max_suppression_op.cc | 162 std::vector<T> scores_data(num_boxes); in DoNonMaxSuppressionOp() local
163 std::copy_n(scores.flat<T>().data(), num_boxes, scores_data.begin()); in DoNonMaxSuppressionOp()
176 for (int i = 0; i < scores_data.size(); ++i) { in DoNonMaxSuppressionOp()
177 if (static_cast<float>(scores_data[i]) > score_threshold) { in DoNonMaxSuppressionOp()
178 candidate_priority_queue.emplace(Candidate({i, scores_data[i]})); in DoNonMaxSuppressionOp()
265 float* scores_data = per_batch_scores.unaligned_flat<float>().data(); in BatchedNonMaxSuppressionOp() local
278 class_scores_data.push_back(scores_data[box * num_classes + class_idx]); in BatchedNonMaxSuppressionOp()
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | image_ops_test.py | 775 scores_data = [0.9, 0.75, 0.6, 0.95, 0.5, 0.3]
776 scores_np = np.array(scores_data, dtype=np.float32)
818 scores_data = [0.9, 0.75, 0.6, 0.95, 0.5, 0.3]
819 scores_np = np.array(scores_data, dtype=np.float32)
861 scores_data = [0.9, 0.75, 0.6, 0.95, 0.5, 0.3]
862 scores_np = np.array(scores_data, dtype=np.float32)
902 scores_data = [0.9, 0.75, 0.6, 0.5, 0.4, 0.3]
903 scores_np = np.array(scores_data, dtype=np.float32)
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| /external/autotest/client/site_tests/firmware_TouchMTB/ |
| D | firmware_summary.py | 178 scores_data = result.stat_scores.all_data
179 if scores_data:
180 stat_scores_data += scores_data
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