/third_party/mindspore/mindspore/lite/src/train/ |
D | classification_train_accuracy_monitor.cc | 28 … const std::vector<int> &input_indexes, in ClassificationTrainAccuracyMonitor() argument 30 …accuracy_metrics_ = std::make_shared<AccuracyMetrics>(accuracy_metrics, input_indexes, output_inde… in ClassificationTrainAccuracyMonitor() 60 auto input_indexes = accuracy_metrics_->input_indexes_; in StepEnd() local 62 for (unsigned int i = 0; i < input_indexes.size(); i++) { in StepEnd() 63 if ((inputs.size() <= static_cast<unsigned int>(input_indexes[i])) || in StepEnd() 65 MS_LOG(WARNING) << "indices " << input_indexes[i] << "/" << output_indexes[i] in StepEnd() 69 if (inputs.at(input_indexes[i])->data_type() == kNumberTypeInt32) { in StepEnd() 70 …accuracy += CalculateSparseClassification(inputs.at(input_indexes[i]), outputs.at(output_indexes[i… in StepEnd() 72 …accuracy += CalculateOneHotClassification(inputs.at(input_indexes[i]), outputs.at(output_indexes[i… in StepEnd()
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D | accuracy_metrics.cc | 25 AccuracyMetrics::AccuracyMetrics(int accuracy_metrics, const std::vector<int> &input_indexes, in AccuracyMetrics() argument 28 if (input_indexes.size() == output_indexes.size()) { in AccuracyMetrics() 29 input_indexes_ = input_indexes; in AccuracyMetrics()
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D | train_export.cc | 43 auto input_indexes = old_node->inputIndex; in GetLinkedPostIdx() local 44 if (IsContain<uint32_t>(input_indexes, tensor_idx)) { in GetLinkedPostIdx()
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/third_party/ffmpeg/tests/dnn/ |
D | dnn-layer-mathbinary-test.c | 55 int32_t input_indexes[1]; in test_broadcast_input0() local 73 input_indexes[0] = 0; in test_broadcast_input0() 74 ff_dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms, NULL); in test_broadcast_input0() 95 int32_t input_indexes[1]; in test_broadcast_input1() local 113 input_indexes[0] = 0; in test_broadcast_input1() 114 ff_dnn_execute_layer_math_binary(operands, input_indexes, 1, ¶ms, NULL); in test_broadcast_input1() 135 int32_t input_indexes[2]; in test_no_broadcast() local 160 input_indexes[0] = 0; in test_no_broadcast() 161 input_indexes[1] = 1; in test_no_broadcast() 162 ff_dnn_execute_layer_math_binary(operands, input_indexes, 2, ¶ms, NULL); in test_no_broadcast()
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D | dnn-layer-pad-test.c | 48 int32_t input_indexes[1]; in test_with_mode_symmetric() local 81 input_indexes[0] = 0; in test_with_mode_symmetric() 82 ff_dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL); in test_with_mode_symmetric() 118 int32_t input_indexes[1]; in test_with_mode_reflect() local 146 input_indexes[0] = 0; in test_with_mode_reflect() 147 ff_dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL); in test_with_mode_reflect() 183 int32_t input_indexes[1]; in test_with_mode_constant() local 212 input_indexes[0] = 0; in test_with_mode_constant() 213 ff_dnn_execute_layer_pad(operands, input_indexes, 1, ¶ms, NULL); in test_with_mode_constant()
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D | dnn-layer-avgpool-test.c | 53 int32_t input_indexes[1]; in test_with_same() local 93 input_indexes[0] = 0; in test_with_same() 94 ff_dnn_execute_layer_avg_pool(operands, input_indexes, 1, ¶ms, NULL); in test_with_same() 136 int32_t input_indexes[1]; in test_with_valid() local 173 input_indexes[0] = 0; in test_with_valid() 174 ff_dnn_execute_layer_avg_pool(operands, input_indexes, 1, ¶ms, NULL); in test_with_valid()
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D | dnn-layer-conv2d-test.c | 64 int32_t input_indexes[1]; in test_with_same_dilate() local 120 input_indexes[0] = 0; in test_with_same_dilate() 121 ff_dnn_execute_layer_conv2d(operands, input_indexes, 1, ¶ms, &ctx); in test_with_same_dilate() 172 int32_t input_indexes[1]; in test_with_valid() local 224 input_indexes[0] = 0; in test_with_valid() 225 ff_dnn_execute_layer_conv2d(operands, input_indexes, 1, ¶ms, &ctx); in test_with_valid()
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D | dnn-layer-depth2space-test.c | 53 int32_t input_indexes[1]; in test() local 82 input_indexes[0] = 0; in test() 84 ff_dnn_execute_layer_depth2space(operands, input_indexes, 1, ¶ms, NULL); in test()
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D | dnn-layer-maximum-test.c | 32 int32_t input_indexes[1]; in test() local 47 input_indexes[0] = 0; in test() 48 ff_dnn_execute_layer_maximum(operands, input_indexes, 1, ¶ms, NULL); in test()
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D | dnn-layer-dense-test.c | 64 int32_t input_indexes[1]; in test() local 109 input_indexes[0] = 0; in test() 110 ff_dnn_execute_layer_dense(operands, input_indexes, 1, ¶ms, NULL); in test()
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D | dnn-layer-mathunary-test.c | 75 int32_t input_indexes[1]; in test() local 89 input_indexes[0] = 0; in test() 90 ff_dnn_execute_layer_math_unary(operands, input_indexes, 1, ¶ms, NULL); in test()
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/third_party/mindspore/mindspore/ccsrc/utils/ |
D | config_manager.h | 41 … const std::vector<std::vector<int64_t>> &shapes, const std::vector<int64_t> &input_indexes) in DatasetGraphParam() argument 47 input_indexes_(input_indexes) {} in DatasetGraphParam() 62 std::vector<int64_t> input_indexes() const { return input_indexes_; } in input_indexes() function
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/third_party/mindspore/mindspore/lite/src/cxx_api/metrics/ |
D | accuracy.cc | 26 AccuracyMetrics::AccuracyMetrics(int accuracy_metrics, const std::vector<int> &input_indexes, in AccuracyMetrics() argument 29 …MetricsImpl(new (std::nothrow) lite::AccuracyMetrics(accuracy_metrics, input_indexes, output_index… in AccuracyMetrics()
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/third_party/mindspore/mindspore/lite/src/cxx_api/callback/ |
D | train_accuracy.cc | 26 …racy::TrainAccuracy(int print_every_n, int accuracy_metrics, const std::vector<int> &input_indexes, in TrainAccuracy() argument 29 print_every_n, accuracy_metrics, input_indexes, output_indexes)); in TrainAccuracy()
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/third_party/mindspore/tests/st/pynative/loss_scale/ |
D | test_loss_scale.py | 38 np_types=None, output_shapes=None, input_indexes=(), func_name=''): argument 44 self._input_indexes = input_indexes 67 def input_indexes(self): member in MindData 105 input_indexes=(0, 1), func_name='')
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/third_party/mindspore/include/api/metrics/ |
D | accuracy.h | 28 …Metrics(int accuracy_metrics = METRICS_CLASSIFICATION, const std::vector<int> &input_indexes = {1},
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/third_party/mindspore/include/api/callback/ |
D | train_accuracy.h | 35 const std::vector<int> &input_indexes = {1},
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/third_party/mindspore/mindspore/lite/include/train/ |
D | accuracy_metrics.h | 31 …Metrics(int accuracy_metrics = METRICS_CLASSIFICATION, const std::vector<int> &input_indexes = {1},
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D | classification_train_accuracy_monitor.h | 36 const std::vector<int> &input_indexes = {1},
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/third_party/mindspore/mindspore/ccsrc/pipeline/jit/ |
D | pipeline_ge.h | 49 const std::vector<int64_t> &input_indexes, const std::string &phase);
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D | pipeline.h | 168 … const std::vector<int64_t> &input_indexes, const std::string &phase, bool need_run); 173 const std::vector<int64_t> &input_indexes, bool need_run);
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D | pipeline.cc | 1149 … const std::vector<int64_t> &input_indexes, const std::string &phase, bool need_run) { in InitExecDataset() argument 1162 …return InitExecDatasetVm(queue_name, iter_num, batch_size, types, shapes, input_indexes, need_run); in InitExecDataset() 1165 return InitExecDatasetGe(queue_name, iter_num, batch_size, types, shapes, input_indexes, phase); in InitExecDataset() 1177 const std::vector<int64_t> &input_indexes, bool need_run) { in InitExecDatasetVm() argument 1186 …(void)std::transform(input_indexes.begin(), input_indexes.end(), std::back_inserter(int_input_inde… in InitExecDatasetVm()
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D | pipeline_ge.cc | 114 const std::vector<int64_t> &input_indexes, const std::string &phase) { in InitExecDatasetGe() argument 124 DatasetGraphParam param(queue_name, size, batch_size, ge_types, shapes, input_indexes); in InitExecDatasetGe()
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/third_party/mindspore/mindspore/ccsrc/transform/graph_ir/ |
D | convert.cc | 293 if (!param.input_indexes().empty() && input_idx <= param.input_indexes().size()) { in MakeDatasetHandler() 294 getnext_idx = param.input_indexes()[input_idx] - 1; // input_idx start from 0. in MakeDatasetHandler()
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