Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #pragma once |
| 6 | |
Aron Virginas-Tar | d4f0fea | 2019-04-09 14:08:06 +0100 | [diff] [blame] | 7 | #include <ResolveType.hpp> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 8 | |
| 9 | #include <armnn/Types.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 10 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 11 | #include <backendsCommon/TensorHandle.hpp> |
Matteo Martincigh | e5b8eb9 | 2019-11-28 15:45:42 +0000 | [diff] [blame] | 12 | #include <armnn/backends/IBackendInternal.hpp> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 13 | #include <backendsCommon/WorkloadFactory.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 14 | |
| 15 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 16 | #include <backendsCommon/test/WorkloadFactoryHelper.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 17 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 18 | |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 19 | #include <test/TensorHelpers.hpp> |
| 20 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 21 | #include <doctest/doctest.h> |
| 22 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 23 | namespace |
| 24 | { |
| 25 | |
| 26 | using FloatData = std::vector<float>; |
| 27 | using QuantData = std::pair<float, int32_t>; |
| 28 | |
| 29 | struct TestData |
| 30 | { |
| 31 | static const armnn::TensorShape s_BoxEncodingsShape; |
| 32 | static const armnn::TensorShape s_ScoresShape; |
| 33 | static const armnn::TensorShape s_AnchorsShape; |
| 34 | |
| 35 | static const QuantData s_BoxEncodingsQuantData; |
| 36 | static const QuantData s_ScoresQuantData; |
| 37 | static const QuantData s_AnchorsQuantData; |
| 38 | |
| 39 | static const FloatData s_BoxEncodings; |
| 40 | static const FloatData s_Scores; |
| 41 | static const FloatData s_Anchors; |
| 42 | }; |
| 43 | |
| 44 | struct RegularNmsExpectedResults |
| 45 | { |
| 46 | static const FloatData s_DetectionBoxes; |
| 47 | static const FloatData s_DetectionScores; |
| 48 | static const FloatData s_DetectionClasses; |
| 49 | static const FloatData s_NumDetections; |
| 50 | }; |
| 51 | |
| 52 | struct FastNmsExpectedResults |
| 53 | { |
| 54 | static const FloatData s_DetectionBoxes; |
| 55 | static const FloatData s_DetectionScores; |
| 56 | static const FloatData s_DetectionClasses; |
| 57 | static const FloatData s_NumDetections; |
| 58 | }; |
| 59 | |
| 60 | const armnn::TensorShape TestData::s_BoxEncodingsShape = { 1, 6, 4 }; |
| 61 | const armnn::TensorShape TestData::s_ScoresShape = { 1, 6, 3 }; |
| 62 | const armnn::TensorShape TestData::s_AnchorsShape = { 6, 4 }; |
| 63 | |
| 64 | const QuantData TestData::s_BoxEncodingsQuantData = { 1.00f, 1 }; |
| 65 | const QuantData TestData::s_ScoresQuantData = { 0.01f, 0 }; |
| 66 | const QuantData TestData::s_AnchorsQuantData = { 0.50f, 0 }; |
| 67 | |
| 68 | const FloatData TestData::s_BoxEncodings = |
| 69 | { |
| 70 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 71 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 72 | 0.0f, -1.0f, 0.0f, 0.0f, |
| 73 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 74 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 75 | 0.0f, 0.0f, 0.0f, 0.0f |
| 76 | }; |
| 77 | |
| 78 | const FloatData TestData::s_Scores = |
| 79 | { |
| 80 | 0.0f, 0.90f, 0.80f, |
| 81 | 0.0f, 0.75f, 0.72f, |
| 82 | 0.0f, 0.60f, 0.50f, |
| 83 | 0.0f, 0.93f, 0.95f, |
| 84 | 0.0f, 0.50f, 0.40f, |
| 85 | 0.0f, 0.30f, 0.20f |
| 86 | }; |
| 87 | |
| 88 | const FloatData TestData::s_Anchors = |
| 89 | { |
| 90 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 91 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 92 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 93 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 94 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 95 | 0.5f, 100.5f, 1.0f, 1.0f |
| 96 | }; |
| 97 | |
| 98 | const FloatData RegularNmsExpectedResults::s_DetectionBoxes = |
| 99 | { |
| 100 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 101 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 102 | 0.0f, 0.0f, 0.0f, 0.0f |
| 103 | }; |
| 104 | |
| 105 | const FloatData RegularNmsExpectedResults::s_DetectionScores = |
| 106 | { |
| 107 | 0.95f, 0.93f, 0.0f |
| 108 | }; |
| 109 | |
| 110 | const FloatData RegularNmsExpectedResults::s_DetectionClasses = |
| 111 | { |
| 112 | 1.0f, 0.0f, 0.0f |
| 113 | }; |
| 114 | |
| 115 | const FloatData RegularNmsExpectedResults::s_NumDetections = { 2.0f }; |
| 116 | |
| 117 | const FloatData FastNmsExpectedResults::s_DetectionBoxes = |
| 118 | { |
| 119 | 0.0f, 10.0f, 1.0f, 11.0f, |
| 120 | 0.0f, 0.0f, 1.0f, 1.0f, |
| 121 | 0.0f, 100.0f, 1.0f, 101.0f |
| 122 | }; |
| 123 | |
| 124 | const FloatData FastNmsExpectedResults::s_DetectionScores = |
| 125 | { |
| 126 | 0.95f, 0.9f, 0.3f |
| 127 | }; |
| 128 | |
| 129 | const FloatData FastNmsExpectedResults::s_DetectionClasses = |
| 130 | { |
| 131 | 1.0f, 0.0f, 0.0f |
| 132 | }; |
| 133 | |
| 134 | const FloatData FastNmsExpectedResults::s_NumDetections = { 3.0f }; |
| 135 | |
| 136 | } // anonymous namespace |
| 137 | |
| 138 | template<typename FactoryType, |
| 139 | armnn::DataType ArmnnType, |
| 140 | typename T = armnn::ResolveType<ArmnnType>> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 141 | void DetectionPostProcessImpl(const armnn::TensorInfo& boxEncodingsInfo, |
| 142 | const armnn::TensorInfo& scoresInfo, |
| 143 | const armnn::TensorInfo& anchorsInfo, |
| 144 | const std::vector<T>& boxEncodingsData, |
| 145 | const std::vector<T>& scoresData, |
| 146 | const std::vector<T>& anchorsData, |
| 147 | const std::vector<float>& expectedDetectionBoxes, |
| 148 | const std::vector<float>& expectedDetectionClasses, |
| 149 | const std::vector<float>& expectedDetectionScores, |
| 150 | const std::vector<float>& expectedNumDetections, |
| 151 | bool useRegularNms) |
| 152 | { |
Francis Murtagh | 33199c2 | 2021-02-15 10:11:28 +0000 | [diff] [blame] | 153 | std::unique_ptr<armnn::IProfiler> profiler = std::make_unique<armnn::IProfiler>(); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 154 | armnn::ProfilerManager::GetInstance().RegisterProfiler(profiler.get()); |
| 155 | |
| 156 | auto memoryManager = WorkloadFactoryHelper<FactoryType>::GetMemoryManager(); |
| 157 | FactoryType workloadFactory = WorkloadFactoryHelper<FactoryType>::GetFactory(memoryManager); |
Francis Murtagh | 623069d | 2020-08-14 17:24:39 +0100 | [diff] [blame] | 158 | auto tensorHandleFactory = WorkloadFactoryHelper<FactoryType>::GetTensorHandleFactory(memoryManager); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 159 | |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 160 | armnn::TensorInfo detectionBoxesInfo({ 1, 3, 4 }, armnn::DataType::Float32); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 161 | armnn::TensorInfo detectionClassesInfo({ 1, 3 }, armnn::DataType::Float32); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 162 | armnn::TensorInfo detectionScoresInfo({ 1, 3 }, armnn::DataType::Float32); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 163 | armnn::TensorInfo numDetectionInfo({ 1 }, armnn::DataType::Float32); |
| 164 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 165 | std::vector<float> actualDetectionBoxesOutput(detectionBoxesInfo.GetNumElements()); |
| 166 | std::vector<float> actualDetectionClassesOutput(detectionClassesInfo.GetNumElements()); |
| 167 | std::vector<float> actualDetectionScoresOutput(detectionScoresInfo.GetNumElements()); |
| 168 | std::vector<float> actualNumDetectionOutput(numDetectionInfo.GetNumElements()); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 169 | |
Francis Murtagh | 623069d | 2020-08-14 17:24:39 +0100 | [diff] [blame] | 170 | auto boxedHandle = tensorHandleFactory.CreateTensorHandle(boxEncodingsInfo); |
| 171 | auto scoreshandle = tensorHandleFactory.CreateTensorHandle(scoresInfo); |
| 172 | auto anchorsHandle = tensorHandleFactory.CreateTensorHandle(anchorsInfo); |
| 173 | auto outputBoxesHandle = tensorHandleFactory.CreateTensorHandle(detectionBoxesInfo); |
| 174 | auto classesHandle = tensorHandleFactory.CreateTensorHandle(detectionClassesInfo); |
| 175 | auto outputScoresHandle = tensorHandleFactory.CreateTensorHandle(detectionScoresInfo); |
| 176 | auto numDetectionHandle = tensorHandleFactory.CreateTensorHandle(numDetectionInfo); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 177 | |
James Conroy | 1f58f03 | 2021-04-27 17:13:27 +0100 | [diff] [blame] | 178 | armnn::ScopedTensorHandle anchorsTensor(anchorsInfo); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 179 | AllocateAndCopyDataToITensorHandle(&anchorsTensor, anchorsData.data()); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 180 | |
| 181 | armnn::DetectionPostProcessQueueDescriptor data; |
| 182 | data.m_Parameters.m_UseRegularNms = useRegularNms; |
| 183 | data.m_Parameters.m_MaxDetections = 3; |
| 184 | data.m_Parameters.m_MaxClassesPerDetection = 1; |
| 185 | data.m_Parameters.m_DetectionsPerClass =1; |
| 186 | data.m_Parameters.m_NmsScoreThreshold = 0.0; |
| 187 | data.m_Parameters.m_NmsIouThreshold = 0.5; |
| 188 | data.m_Parameters.m_NumClasses = 2; |
| 189 | data.m_Parameters.m_ScaleY = 10.0; |
| 190 | data.m_Parameters.m_ScaleX = 10.0; |
| 191 | data.m_Parameters.m_ScaleH = 5.0; |
| 192 | data.m_Parameters.m_ScaleW = 5.0; |
| 193 | data.m_Anchors = &anchorsTensor; |
| 194 | |
| 195 | armnn::WorkloadInfo info; |
| 196 | AddInputToWorkload(data, info, boxEncodingsInfo, boxedHandle.get()); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 197 | AddInputToWorkload(data, info, scoresInfo, scoreshandle.get()); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 198 | AddOutputToWorkload(data, info, detectionBoxesInfo, outputBoxesHandle.get()); |
| 199 | AddOutputToWorkload(data, info, detectionClassesInfo, classesHandle.get()); |
| 200 | AddOutputToWorkload(data, info, detectionScoresInfo, outputScoresHandle.get()); |
| 201 | AddOutputToWorkload(data, info, numDetectionInfo, numDetectionHandle.get()); |
| 202 | |
| 203 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateDetectionPostProcess(data, info); |
| 204 | |
| 205 | boxedHandle->Allocate(); |
| 206 | scoreshandle->Allocate(); |
| 207 | outputBoxesHandle->Allocate(); |
| 208 | classesHandle->Allocate(); |
| 209 | outputScoresHandle->Allocate(); |
| 210 | numDetectionHandle->Allocate(); |
| 211 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 212 | CopyDataToITensorHandle(boxedHandle.get(), boxEncodingsData.data()); |
| 213 | CopyDataToITensorHandle(scoreshandle.get(), scoresData.data()); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 214 | |
| 215 | workload->Execute(); |
| 216 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 217 | CopyDataFromITensorHandle(actualDetectionBoxesOutput.data(), outputBoxesHandle.get()); |
| 218 | CopyDataFromITensorHandle(actualDetectionClassesOutput.data(), classesHandle.get()); |
| 219 | CopyDataFromITensorHandle(actualDetectionScoresOutput.data(), outputScoresHandle.get()); |
| 220 | CopyDataFromITensorHandle(actualNumDetectionOutput.data(), numDetectionHandle.get()); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 221 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 222 | auto result = CompareTensors(actualDetectionBoxesOutput, |
| 223 | expectedDetectionBoxes, |
| 224 | outputBoxesHandle->GetShape(), |
| 225 | detectionBoxesInfo.GetShape()); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 226 | CHECK_MESSAGE(result.m_Result, result.m_Message.str()); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 227 | |
| 228 | result = CompareTensors(actualDetectionClassesOutput, |
| 229 | expectedDetectionClasses, |
| 230 | classesHandle->GetShape(), |
| 231 | detectionClassesInfo.GetShape()); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 232 | CHECK_MESSAGE(result.m_Result, result.m_Message.str()); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 233 | |
| 234 | result = CompareTensors(actualDetectionScoresOutput, |
| 235 | expectedDetectionScores, |
| 236 | outputScoresHandle->GetShape(), |
| 237 | detectionScoresInfo.GetShape()); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 238 | CHECK_MESSAGE(result.m_Result, result.m_Message.str()); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 239 | |
| 240 | result = CompareTensors(actualNumDetectionOutput, |
| 241 | expectedNumDetections, |
| 242 | numDetectionHandle->GetShape(), |
| 243 | numDetectionInfo.GetShape()); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 244 | CHECK_MESSAGE(result.m_Result, result.m_Message.str()); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 245 | } |
| 246 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 247 | template<armnn::DataType QuantizedType, typename RawType = armnn::ResolveType<QuantizedType>> |
| 248 | void QuantizeData(RawType* quant, const float* dequant, const armnn::TensorInfo& info) |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 249 | { |
| 250 | for (size_t i = 0; i < info.GetNumElements(); i++) |
| 251 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 252 | quant[i] = armnn::Quantize<RawType>( |
| 253 | dequant[i], info.GetQuantizationScale(), info.GetQuantizationOffset()); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 254 | } |
| 255 | } |
| 256 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 257 | template<typename FactoryType> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 258 | void DetectionPostProcessRegularNmsFloatTest() |
| 259 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 260 | return DetectionPostProcessImpl<FactoryType, armnn::DataType::Float32>( |
| 261 | armnn::TensorInfo(TestData::s_BoxEncodingsShape, armnn::DataType::Float32), |
| 262 | armnn::TensorInfo(TestData::s_ScoresShape, armnn::DataType::Float32), |
| 263 | armnn::TensorInfo(TestData::s_AnchorsShape, armnn::DataType::Float32), |
| 264 | TestData::s_BoxEncodings, |
| 265 | TestData::s_Scores, |
| 266 | TestData::s_Anchors, |
| 267 | RegularNmsExpectedResults::s_DetectionBoxes, |
| 268 | RegularNmsExpectedResults::s_DetectionClasses, |
| 269 | RegularNmsExpectedResults::s_DetectionScores, |
| 270 | RegularNmsExpectedResults::s_NumDetections, |
| 271 | true); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 272 | } |
| 273 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 274 | template<typename FactoryType, |
| 275 | armnn::DataType QuantizedType, |
| 276 | typename RawType = armnn::ResolveType<QuantizedType>> |
| 277 | void DetectionPostProcessRegularNmsQuantizedTest() |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 278 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 279 | armnn::TensorInfo boxEncodingsInfo(TestData::s_BoxEncodingsShape, QuantizedType); |
| 280 | armnn::TensorInfo scoresInfo(TestData::s_ScoresShape, QuantizedType); |
| 281 | armnn::TensorInfo anchorsInfo(TestData::s_AnchorsShape, QuantizedType); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 282 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 283 | boxEncodingsInfo.SetQuantizationScale(TestData::s_BoxEncodingsQuantData.first); |
| 284 | boxEncodingsInfo.SetQuantizationOffset(TestData::s_BoxEncodingsQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 285 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 286 | scoresInfo.SetQuantizationScale(TestData::s_ScoresQuantData.first); |
| 287 | scoresInfo.SetQuantizationOffset(TestData::s_ScoresQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 288 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 289 | anchorsInfo.SetQuantizationScale(TestData::s_AnchorsQuantData.first); |
| 290 | anchorsInfo.SetQuantizationOffset(TestData::s_BoxEncodingsQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 291 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 292 | std::vector<RawType> boxEncodingsData(TestData::s_BoxEncodingsShape.GetNumElements()); |
| 293 | QuantizeData<QuantizedType>(boxEncodingsData.data(), |
| 294 | TestData::s_BoxEncodings.data(), |
| 295 | boxEncodingsInfo); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 296 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 297 | std::vector<RawType> scoresData(TestData::s_ScoresShape.GetNumElements()); |
| 298 | QuantizeData<QuantizedType>(scoresData.data(), |
| 299 | TestData::s_Scores.data(), |
| 300 | scoresInfo); |
| 301 | |
| 302 | std::vector<RawType> anchorsData(TestData::s_AnchorsShape.GetNumElements()); |
| 303 | QuantizeData<QuantizedType>(anchorsData.data(), |
| 304 | TestData::s_Anchors.data(), |
| 305 | anchorsInfo); |
| 306 | |
| 307 | return DetectionPostProcessImpl<FactoryType, QuantizedType>( |
| 308 | boxEncodingsInfo, |
| 309 | scoresInfo, |
| 310 | anchorsInfo, |
| 311 | boxEncodingsData, |
| 312 | scoresData, |
| 313 | anchorsData, |
| 314 | RegularNmsExpectedResults::s_DetectionBoxes, |
| 315 | RegularNmsExpectedResults::s_DetectionClasses, |
| 316 | RegularNmsExpectedResults::s_DetectionScores, |
| 317 | RegularNmsExpectedResults::s_NumDetections, |
| 318 | true); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 319 | } |
| 320 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 321 | template<typename FactoryType> |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 322 | void DetectionPostProcessFastNmsFloatTest() |
| 323 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 324 | return DetectionPostProcessImpl<FactoryType, armnn::DataType::Float32>( |
| 325 | armnn::TensorInfo(TestData::s_BoxEncodingsShape, armnn::DataType::Float32), |
| 326 | armnn::TensorInfo(TestData::s_ScoresShape, armnn::DataType::Float32), |
| 327 | armnn::TensorInfo(TestData::s_AnchorsShape, armnn::DataType::Float32), |
| 328 | TestData::s_BoxEncodings, |
| 329 | TestData::s_Scores, |
| 330 | TestData::s_Anchors, |
| 331 | FastNmsExpectedResults::s_DetectionBoxes, |
| 332 | FastNmsExpectedResults::s_DetectionClasses, |
| 333 | FastNmsExpectedResults::s_DetectionScores, |
| 334 | FastNmsExpectedResults::s_NumDetections, |
| 335 | false); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 336 | } |
| 337 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 338 | template<typename FactoryType, |
| 339 | armnn::DataType QuantizedType, |
| 340 | typename RawType = armnn::ResolveType<QuantizedType>> |
| 341 | void DetectionPostProcessFastNmsQuantizedTest() |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 342 | { |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 343 | armnn::TensorInfo boxEncodingsInfo(TestData::s_BoxEncodingsShape, QuantizedType); |
| 344 | armnn::TensorInfo scoresInfo(TestData::s_ScoresShape, QuantizedType); |
| 345 | armnn::TensorInfo anchorsInfo(TestData::s_AnchorsShape, QuantizedType); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 346 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 347 | boxEncodingsInfo.SetQuantizationScale(TestData::s_BoxEncodingsQuantData.first); |
| 348 | boxEncodingsInfo.SetQuantizationOffset(TestData::s_BoxEncodingsQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 349 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 350 | scoresInfo.SetQuantizationScale(TestData::s_ScoresQuantData.first); |
| 351 | scoresInfo.SetQuantizationOffset(TestData::s_ScoresQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 352 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 353 | anchorsInfo.SetQuantizationScale(TestData::s_AnchorsQuantData.first); |
| 354 | anchorsInfo.SetQuantizationOffset(TestData::s_BoxEncodingsQuantData.second); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 355 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 356 | std::vector<RawType> boxEncodingsData(TestData::s_BoxEncodingsShape.GetNumElements()); |
| 357 | QuantizeData<QuantizedType>(boxEncodingsData.data(), |
| 358 | TestData::s_BoxEncodings.data(), |
| 359 | boxEncodingsInfo); |
Narumol Prangnawarat | e0a4ad8 | 2019-02-04 19:05:27 +0000 | [diff] [blame] | 360 | |
Aron Virginas-Tar | 6331f91 | 2019-06-03 17:10:02 +0100 | [diff] [blame] | 361 | std::vector<RawType> scoresData(TestData::s_ScoresShape.GetNumElements()); |
| 362 | QuantizeData<QuantizedType>(scoresData.data(), |
| 363 | TestData::s_Scores.data(), |
| 364 | scoresInfo); |
| 365 | |
| 366 | std::vector<RawType> anchorsData(TestData::s_AnchorsShape.GetNumElements()); |
| 367 | QuantizeData<QuantizedType>(anchorsData.data(), |
| 368 | TestData::s_Anchors.data(), |
| 369 | anchorsInfo); |
| 370 | |
| 371 | return DetectionPostProcessImpl<FactoryType, QuantizedType>( |
| 372 | boxEncodingsInfo, |
| 373 | scoresInfo, |
| 374 | anchorsInfo, |
| 375 | boxEncodingsData, |
| 376 | scoresData, |
| 377 | anchorsData, |
| 378 | FastNmsExpectedResults::s_DetectionBoxes, |
| 379 | FastNmsExpectedResults::s_DetectionClasses, |
| 380 | FastNmsExpectedResults::s_DetectionScores, |
| 381 | FastNmsExpectedResults::s_NumDetections, |
| 382 | false); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 383 | } |