| /third_party/mindspore/mindspore/lite/micro/coder/wrapper/base/ |
| D | detection_post_process_base_wrapper.c | 26 static inline bool compare(int i, int j, const float *scores) { in compare() argument
27 if (scores[i] == scores[j]) { in compare()
30 return scores[i] > scores[j]; in compare()
33 static void heapify(const float *scores, int *indexes, int n, int i) { in heapify() argument
38 if (r < n && compare(indexes[cur], indexes[r], scores)) { in heapify()
41 if (l < n && compare(indexes[cur], indexes[l], scores)) { in heapify()
53 void PartialArgSort(const float *scores, int *indexes, int num_to_sort, int num_values) { in PartialArgSort() argument
57 heapify(scores, indexes, num_to_sort, i); in PartialArgSort()
61 if (!compare(indexes[0], indexes[i], scores)) { in PartialArgSort()
63 heapify(scores, indexes, num_to_sort, 0); in PartialArgSort()
[all …]
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| D | detection_post_process_base_wrapper.h | 22 void PartialArgSort(const float *scores, int *indexes, int num_to_sort, int num_values);
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| /third_party/mesa3d/src/gallium/frontends/wgl/ |
| D | stw_ext_pixelformat.c | 335 struct stw_pixelformat_score *scores, in score_pixelformats() argument
370 scores[index].points = 0; in score_pixelformats()
380 scores[index].points = 0; in score_pixelformats()
382 scores[index].points -= (actual_value - expected_value) in score_pixelformats()
397 struct stw_pixelformat_score *scores; in wglChoosePixelFormatARB() local
408 scores = (struct stw_pixelformat_score *) in wglChoosePixelFormatARB()
410 if (scores == NULL) in wglChoosePixelFormatARB()
413 scores[i].points = 0x7fffffff; in wglChoosePixelFormatARB()
414 scores[i].index = i; in wglChoosePixelFormatARB()
421 if (!score_pixelformats(hdc, scores, count, piAttribIList[0], in wglChoosePixelFormatARB()
[all …]
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| /third_party/flutter/skia/third_party/externals/angle2/scripts/ |
| D | perf_test_runner.py | 30 scores = [] variable
140 scores.append(score)
142 if (len(scores) > 1):
143 sys.stdout.write(", mean: %.2f" % mean(scores))
144 sys.stdout.write(", variation: %.2f%%" % (coefficient_of_variation(scores) * 100.0))
146 if (len(scores) > 7):
147 truncation_n = len(scores) >> 3
148 sys.stdout.write(", truncated mean: %.2f" % truncated_mean(scores, truncation_n))
149 sys.stdout.write(", variation: %.2f%%" % (truncated_cov(scores, truncation_n) * 100.0))
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| /third_party/skia/third_party/externals/dawn/scripts/ |
| D | perf_test_runner.py | 37 scores = [] variable
141 scores.append(score)
143 if (len(scores) > 1):
144 sys.stdout.write(", mean: %.2f" % mean(scores))
146 (coefficient_of_variation(scores) * 100.0))
148 if (len(scores) > 7):
149 truncation_n = len(scores) >> 3
151 truncated_mean(scores, truncation_n))
153 (truncated_cov(scores, truncation_n) * 100.0))
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| /third_party/mindspore/mindspore/lite/micro/coder/opcoders/nnacl/int8/ |
| D | detection_post_process_int8_coder.cc | 40 Tensor *scores = input_tensors_.at(1); in GetInputData() local
41 MS_CHECK_PTR(scores); in GetInputData()
42 lite::LiteQuantParam scores_quant_param = scores->quant_params().front(); in GetInputData()
44 MS_CHECK_TRUE(scores->data_type() == kNumberTypeInt8, "Input data type error"); in GetInputData()
55 code->CodeFunction("DoDequantizeInt8ToFp32", scores, input_scores_, scores_quant_param.scale, in GetInputData()
56 scores_quant_param.zeroPoint, scores->ElementsNum()); in GetInputData()
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| /third_party/skia/third_party/externals/angle2/scripts/ |
| D | perf_test_runner.py | 38 scores = [] variable
165 scores.append(score)
167 if (len(scores) > 1):
168 sys.stdout.write(", mean: %.2f" % mean(scores))
170 (coefficient_of_variation(scores) * 100.0))
172 if (len(scores) > 7):
173 truncation_n = len(scores) >> 3
174 sys.stdout.write(", truncated mean: %.2f" % truncated_mean(scores, truncation_n))
176 (truncated_cov(scores, truncation_n) * 100.0))
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| /third_party/mindspore/mindspore/lite/java/java/fl_client/src/main/java/com/mindspore/flclient/model/ |
| D | TrainModel.java | 180 float[] scores = outputTensor.get().getFloatData(); in calAccuracy() local
187 int predictIdx = getPredictLabel(scores, numOfClass * b, numOfClass * b + numOfClass); in calAccuracy()
206 float[] scores = outputTensor.get().getFloatData(); in getBatchLabel() local
208 inferLabels[b] = getPredictLabel(scores, numOfClass * b, numOfClass * b + numOfClass); in getBatchLabel()
267 private int getPredictLabel(float[] scores, int start, int end) { in getPredictLabel() argument
268 if (scores == null || scores.length == 0) { in getPredictLabel()
272 if (start >= scores.length || start < 0 || end > scores.length || end < 0) { in getPredictLabel()
276 float maxScore = scores[start]; in getPredictLabel()
279 if (scores[i] > maxScore) { in getPredictLabel()
281 maxScore = scores[i]; in getPredictLabel()
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/fp32/ |
| D | detection_post_process_fp32.c | 66 …ass(const int num_boxes, const float *decoded_boxes, const int max_detections, const float *scores, in NmsSingleClass() argument
81 PartialArgSort(scores, indexes, num_boxes, num_boxes); in NmsSingleClass()
83 …if (possible_candidate_num == 0 || selected_num >= output_num || scores[indexes[i]] < param->nms_s… in NmsSingleClass()
94 if (scores[indexes[t]] < param->nms_score_threshold_) break; in NmsSingleClass()
120 float *scores = (float *)param->scores_; in NmsMultiClassesFastCore() local
127 scores[i] = input_scores[indexes[0]]; in NmsMultiClassesFastCore()
181 float *scores = (float *)param->scores_; in DetectionPostProcessRegular() local
190 scores[i] = input_scores[i * num_classes_with_bg + j]; in DetectionPostProcessRegular()
193 …NmsSingleClass(num_boxes, decoded_boxes, param->detections_per_class_, scores, selected, PartialAr… in DetectionPostProcessRegular()
202 all_scores[all_classes_sorted_num++] = scores[selected[i]]; in DetectionPostProcessRegular()
[all …]
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/infer/ |
| D | detection_post_process_infer.c | 28 const TensorC *scores = inputs[1]; in DetectionPostProcessInferShape() local
30 if (boxes->shape_size_ < 2 || scores->shape_size_ < 3 || anchors->shape_size_ < 1) { in DetectionPostProcessInferShape()
35 if (scores->shape_[2] < param->num_classes_) { in DetectionPostProcessInferShape()
38 if (scores->shape_[2] - param->num_classes_ > 1) { in DetectionPostProcessInferShape()
41 if (boxes->shape_[1] != scores->shape_[1]) { in DetectionPostProcessInferShape()
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| /third_party/ffmpeg/libavfilter/ |
| D | vf_identity.c | 51 uint64_t **scores; member
189 td.score = s->scores; in do_identity()
203 comp_sum[c] += s->scores[j][c]; in do_identity()
295 s->scores = av_calloc(s->nb_threads, sizeof(*s->scores)); in config_input_ref()
296 if (!s->scores) in config_input_ref()
299 for (int t = 0; t < s->nb_threads && s->scores; t++) { in config_input_ref()
300 s->scores[t] = av_calloc(s->nb_components, sizeof(*s->scores[0])); in config_input_ref()
301 if (!s->scores[t]) in config_input_ref()
381 for (int t = 0; t < s->nb_threads && s->scores; t++) in uninit()
382 av_freep(&s->scores[t]); in uninit()
[all …]
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| /third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/base/ |
| D | detection_post_process_base.cc | 32 void PartialArgSort(const float *scores, int *indexes, int num_to_sort, int num_values) { in PartialArgSort() argument
33 …std::partial_sort(indexes, indexes + num_to_sort, indexes + num_values, [&scores](const int i, con… in PartialArgSort()
34 if (std::abs(scores[i] - scores[j]) < FLT_EPSILON) { in PartialArgSort()
37 return scores[i] > scores[j]; in PartialArgSort()
|
| /third_party/skia/experimental/tools/ |
| D | pdf-comparison.py | 296 scores = dict()
303 scores[path] = s
305 paths = sorted(scores.iterkeys(), key=lambda p: -scores[p])
309 out.write(' %6.4f %s\n' % (scores[p], pdfpath))
318 errors.append((source, name, scores[p]))
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| /third_party/mindspore/tests/st/fl/cross_silo_faster_rcnn/src/FasterRcnn/ |
| D | proposal_generator.py | 188 _, _, _, _, scores = self.split(proposals)
189 scores = self.squeeze(scores)
191 scores_using = self.select(masks, scores, topk_mask)
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| D | faster_rcnn_resnet50v1.py | 351 scores = self.softmax(cls_logits)
361 scores_all = self.split(scores)
389 scores = scores_all[i]
398 _cls_scores = scores[::, k:k + 1:1]
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| D | faster_rcnn_resnet.py | 351 scores = self.softmax(cls_logits)
361 scores_all = self.split(scores)
389 scores = scores_all[i]
398 _cls_scores = scores[::, k:k + 1:1]
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| /third_party/mindspore/mindspore/lite/examples/train_lenet_java/src/main/java/com/mindspore/lite/train_lenet/ |
| D | NetRunner.java | 155 float[] scores = outputsv.getFloatData(); in calculateAccuracy() local
158 float max_score = scores[(int) (numOfClasses * b)]; in calculateAccuracy()
160 if (scores[(int) (numOfClasses * b + c)] > max_score) { in calculateAccuracy()
161 max_score = scores[(int) (numOfClasses * b + c)]; in calculateAccuracy()
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| /third_party/mindspore/mindspore/nn/metrics/ |
| D | occlusion_sensitivity.py | 122 scores = model_numpy[first_indices, batch_ids]
124 return np.vstack(scores)
125 return np.vstack((sensitivity_im, scores))
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| /third_party/flutter/skia/third_party/externals/freetype/src/autofit/ |
| D | afwarp.c | 83 AF_WarpScore scores[65]; in af_warper_compute_line_best() local
87 scores[nn] = 0; in af_warper_compute_line_best()
129 scores[idx] += af_warper_weights[y & 63] * len; in af_warper_compute_line_best()
139 AF_WarpScore score = scores[idx]; in af_warper_compute_line_best()
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| /third_party/freetype/src/autofit/ |
| D | afwarp.c | 83 AF_WarpScore scores[65]; in af_warper_compute_line_best() local
87 scores[nn] = 0; in af_warper_compute_line_best()
129 scores[idx] += af_warper_weights[y & 63] * len; in af_warper_compute_line_best()
139 AF_WarpScore score = scores[idx]; in af_warper_compute_line_best()
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| /third_party/mindspore/mindspore/lite/examples/transfer_learning/src/ |
| D | net_runner.cc | 144 auto scores = reinterpret_cast<float *>(outputsv->MutableData()); in CalculateAccuracy() local
147 float max_score = scores[num_of_classes_ * b]; in CalculateAccuracy()
149 if (scores[num_of_classes_ * b + c] > max_score) { in CalculateAccuracy()
150 max_score = scores[num_of_classes_ * b + c]; in CalculateAccuracy()
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| /third_party/mindspore/tests/ut/cpp/ops/ |
| D | test_ops_detection_post_process.cc | 38 …auto scores = TensorConstructUtils::CreateOnesTensor(kNumberTypeFloat16, std::vector<int64_t>{2, 3… in TEST_F() local
40 auto abstract = op->Infer({boxes->ToAbstract(), scores->ToAbstract(), anchors->ToAbstract()}); in TEST_F()
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| /third_party/icu/icu4j/tools/misc/src/com/ibm/icu/dev/tool/charsetdet/sbcs/ |
| D | StatisticsTool.java | 409 int[] scores = new int[file_count]; in main() local
413 scores[c] = checkers[c].checkBuffer(buffer, charCount); in main()
417 int score = scores[c]; in main()
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| /third_party/gstreamer/gstplugins_bad/ext/onnx/ |
| D | gstonnxclient.cpp | 381 auto scores = in doRun() local
395 if (scores[i] > scoreThreshold) { in doRun()
400 auto score = scores[i]; in doRun()
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| /third_party/mindspore/mindspore/core/ops/ |
| D | detection_post_process.cc | 126 auto scores = input_args[kInputIndex1]; in DetectionPostProcessInfer() local
129 auto scores_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(scores->BuildShape())[kShape]; in DetectionPostProcessInfer()
|