Aron Virginas-Tar | 92b9f87 | 2019-09-17 17:27:04 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2019 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "SliceTestImpl.hpp" |
| 7 | |
| 8 | #include <ResolveType.hpp> |
| 9 | |
| 10 | #include <armnn/ArmNN.hpp> |
| 11 | |
| 12 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 13 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 14 | |
| 15 | #include <test/TensorHelpers.hpp> |
| 16 | |
| 17 | namespace |
| 18 | { |
| 19 | |
| 20 | template<typename T, std::size_t NumDims> |
| 21 | LayerTestResult<T, NumDims> SliceTestImpl( |
| 22 | armnn::IWorkloadFactory& workloadFactory, |
| 23 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 24 | armnn::TensorInfo& inputInfo, |
| 25 | armnn::TensorInfo& outputInfo, |
| 26 | std::vector<float>& inputData, |
| 27 | std::vector<float>& expectedOutputData, |
| 28 | armnn::SliceQueueDescriptor descriptor, |
| 29 | const float qScale = 1.0f, |
| 30 | const int qOffset = 0) |
| 31 | { |
| 32 | if(armnn::IsQuantizedType<T>()) |
| 33 | { |
| 34 | inputInfo.SetQuantizationScale(qScale); |
| 35 | inputInfo.SetQuantizationOffset(qOffset); |
| 36 | |
| 37 | outputInfo.SetQuantizationScale(qScale); |
| 38 | outputInfo.SetQuantizationOffset(qOffset); |
| 39 | } |
| 40 | |
| 41 | boost::multi_array<T, NumDims> input = |
| 42 | MakeTensor<T, NumDims>(inputInfo, QuantizedVector<T>(qScale, qOffset, inputData)); |
| 43 | |
| 44 | LayerTestResult<T, NumDims> result(outputInfo); |
| 45 | result.outputExpected = |
| 46 | MakeTensor<T, NumDims>(outputInfo, QuantizedVector<T>(qScale, qOffset, expectedOutputData)); |
| 47 | |
| 48 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputInfo); |
| 49 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo); |
| 50 | |
| 51 | armnn::WorkloadInfo info; |
| 52 | AddInputToWorkload(descriptor, info, inputInfo, inputHandle.get()); |
| 53 | AddOutputToWorkload(descriptor, info, outputInfo, outputHandle.get()); |
| 54 | |
| 55 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSlice(descriptor, info); |
| 56 | |
| 57 | inputHandle->Allocate(); |
| 58 | outputHandle->Allocate(); |
| 59 | |
| 60 | CopyDataToITensorHandle(inputHandle.get(), input.data()); |
| 61 | |
| 62 | ExecuteWorkload(*workload, memoryManager); |
| 63 | |
| 64 | CopyDataFromITensorHandle(result.output.data(), outputHandle.get()); |
| 65 | |
| 66 | return result; |
| 67 | } |
| 68 | |
| 69 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 70 | LayerTestResult<T, 4> Slice4dTest(armnn::IWorkloadFactory& workloadFactory, |
| 71 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 72 | { |
| 73 | armnn::TensorShape inputShape = { 3, 2, 3, 5 }; |
| 74 | armnn::TensorShape outputShape = { 2, 1, 2, 3 }; |
| 75 | |
| 76 | armnn::SliceQueueDescriptor desc; |
| 77 | desc.m_Parameters.m_Begin = { 1, 0, 1, 2 }; |
| 78 | desc.m_Parameters.m_Size = { 2, 1, 2, 3 }; |
| 79 | |
| 80 | armnn::TensorInfo inputInfo(inputShape, ArmnnType); |
| 81 | armnn::TensorInfo outputInfo(outputShape, ArmnnType); |
| 82 | |
| 83 | std::vector<float> input = |
| 84 | { |
| 85 | 0.f, 1.f, 2.f, 3.f, 4.f, |
| 86 | 5.f, 6.f, 7.f, 8.f, 9.f, |
| 87 | 10.f, 11.f, 12.f, 13.f, 14.f, |
| 88 | |
| 89 | 15.f, 16.f, 17.f, 18.f, 19.f, |
| 90 | 20.f, 21.f, 22.f, 23.f, 24.f, |
| 91 | 25.f, 26.f, 27.f, 28.f, 29.f, |
| 92 | |
| 93 | |
| 94 | 30.f, 31.f, 32.f, 33.f, 34.f, |
| 95 | 35.f, 36.f, 37.f, 38.f, 39.f, |
| 96 | 40.f, 41.f, 42.f, 43.f, 44.f, |
| 97 | |
| 98 | 45.f, 46.f, 47.f, 48.f, 49.f, |
| 99 | 50.f, 51.f, 52.f, 53.f, 54.f, |
| 100 | 55.f, 56.f, 57.f, 58.f, 59.f, |
| 101 | |
| 102 | |
| 103 | 60.f, 61.f, 62.f, 63.f, 64.f, |
| 104 | 65.f, 66.f, 67.f, 68.f, 69.f, |
| 105 | 70.f, 71.f, 72.f, 73.f, 74.f, |
| 106 | |
| 107 | 75.f, 76.f, 77.f, 78.f, 79.f, |
| 108 | 80.f, 81.f, 82.f, 83.f, 84.f, |
| 109 | 85.f, 86.f, 87.f, 88.f, 89.f |
| 110 | }; |
| 111 | |
| 112 | std::vector<float> expectedOutput = |
| 113 | { |
| 114 | 37.f, 38.f, 39.f, |
| 115 | 42.f, 43.f, 44.f, |
| 116 | |
| 117 | |
| 118 | 67.f, 68.f, 69.f, |
| 119 | 72.f, 73.f, 74.f |
| 120 | }; |
| 121 | |
| 122 | return SliceTestImpl<T, 4>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| 123 | } |
| 124 | |
| 125 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 126 | LayerTestResult<T, 3> Slice3dTest(armnn::IWorkloadFactory& workloadFactory, |
| 127 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 128 | { |
| 129 | armnn::TensorShape inputShape = { 2, 3, 5 }; |
| 130 | armnn::TensorShape outputShape = { 1, 2, 3 }; |
| 131 | |
| 132 | armnn::SliceQueueDescriptor desc; |
| 133 | desc.m_Parameters.m_Begin = { 0, 1, 2 }; |
| 134 | desc.m_Parameters.m_Size = { 1, 2, 3 }; |
| 135 | |
| 136 | armnn::TensorInfo inputInfo(inputShape, ArmnnType); |
| 137 | armnn::TensorInfo outputInfo(outputShape, ArmnnType); |
| 138 | |
| 139 | std::vector<float> input = |
| 140 | { |
| 141 | 0.f, 1.f, 2.f, 3.f, 4.f, |
| 142 | 5.f, 6.f, 7.f, 8.f, 9.f, |
| 143 | 10.f, 11.f, 12.f, 13.f, 14.f, |
| 144 | |
| 145 | 15.f, 16.f, 17.f, 18.f, 19.f, |
| 146 | 20.f, 21.f, 22.f, 23.f, 24.f, |
| 147 | 25.f, 26.f, 27.f, 28.f, 29.f, |
| 148 | }; |
| 149 | |
| 150 | std::vector<float> expectedOutput = |
| 151 | { |
| 152 | 7.f, 8.f, 9.f, |
| 153 | 12.f, 13.f, 14.f |
| 154 | }; |
| 155 | |
| 156 | return SliceTestImpl<T, 3>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| 157 | } |
| 158 | |
| 159 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 160 | LayerTestResult<T, 2> Slice2dTest(armnn::IWorkloadFactory& workloadFactory, |
| 161 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 162 | { |
| 163 | armnn::TensorShape inputShape = { 3, 5 }; |
| 164 | armnn::TensorShape outputShape = { 2, 3 }; |
| 165 | |
| 166 | armnn::SliceQueueDescriptor desc; |
| 167 | desc.m_Parameters.m_Begin = { 1, 2 }; |
| 168 | desc.m_Parameters.m_Size = { 2, 3 }; |
| 169 | |
| 170 | armnn::TensorInfo inputInfo(inputShape, ArmnnType); |
| 171 | armnn::TensorInfo outputInfo(outputShape, ArmnnType); |
| 172 | |
| 173 | std::vector<float> input = |
| 174 | { |
| 175 | 0.f, 1.f, 2.f, 3.f, 4.f, |
| 176 | 5.f, 6.f, 7.f, 8.f, 9.f, |
| 177 | 10.f, 11.f, 12.f, 13.f, 14.f |
| 178 | }; |
| 179 | |
| 180 | std::vector<float> expectedOutput = |
| 181 | { |
| 182 | 7.f, 8.f, 9.f, |
| 183 | 12.f, 13.f, 14.f |
| 184 | }; |
| 185 | |
| 186 | return SliceTestImpl<T, 2>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| 187 | } |
| 188 | |
| 189 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 190 | LayerTestResult<T, 1> Slice1dTest(armnn::IWorkloadFactory& workloadFactory, |
| 191 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 192 | { |
| 193 | armnn::TensorShape inputShape = { 5 }; |
| 194 | armnn::TensorShape outputShape = { 3 }; |
| 195 | |
| 196 | armnn::SliceQueueDescriptor desc; |
| 197 | desc.m_Parameters.m_Begin = { 2 }; |
| 198 | desc.m_Parameters.m_Size = { 3 }; |
| 199 | |
| 200 | armnn::TensorInfo inputInfo(inputShape, ArmnnType); |
| 201 | armnn::TensorInfo outputInfo(outputShape, ArmnnType); |
| 202 | |
| 203 | std::vector<float> input = |
| 204 | { |
| 205 | 0.f, 1.f, 2.f, 3.f, 4.f |
| 206 | }; |
| 207 | |
| 208 | std::vector<float> expectedOutput = |
| 209 | { |
| 210 | 2.f, 3.f, 4.f |
| 211 | }; |
| 212 | |
| 213 | return SliceTestImpl<T, 1>(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc); |
| 214 | } |
| 215 | |
| 216 | } // anonymous namespace |
| 217 | |
| 218 | // Float32 tests |
| 219 | LayerTestResult<float, 4> Slice4dFloat32Test(armnn::IWorkloadFactory& workloadFactory, |
| 220 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 221 | { |
| 222 | return Slice4dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 223 | } |
| 224 | |
| 225 | LayerTestResult<float, 3> Slice3dFloat32Test(armnn::IWorkloadFactory& workloadFactory, |
| 226 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 227 | { |
| 228 | return Slice3dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 229 | } |
| 230 | |
| 231 | LayerTestResult<float, 2> Slice2dFloat32Test(armnn::IWorkloadFactory& workloadFactory, |
| 232 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 233 | { |
| 234 | return Slice2dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 235 | } |
| 236 | |
| 237 | LayerTestResult<float, 1> Slice1dFloat32Test(armnn::IWorkloadFactory& workloadFactory, |
| 238 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 239 | { |
| 240 | return Slice1dTest<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 241 | } |
| 242 | |
| 243 | // Uint8 tests |
| 244 | LayerTestResult<uint8_t, 4> Slice4dUint8Test(armnn::IWorkloadFactory& workloadFactory, |
| 245 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 246 | { |
| 247 | return Slice4dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 248 | } |
| 249 | |
| 250 | LayerTestResult<uint8_t, 3> Slice3dUint8Test(armnn::IWorkloadFactory& workloadFactory, |
| 251 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 252 | { |
| 253 | return Slice3dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 254 | } |
| 255 | |
| 256 | LayerTestResult<uint8_t, 2> Slice2dUint8Test(armnn::IWorkloadFactory& workloadFactory, |
| 257 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 258 | { |
| 259 | return Slice2dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 260 | } |
| 261 | |
| 262 | LayerTestResult<uint8_t, 1> Slice1dUint8Test(armnn::IWorkloadFactory& workloadFactory, |
| 263 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 264 | { |
| 265 | return Slice1dTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 266 | } |
| 267 | |
| 268 | // Int16 tests |
| 269 | LayerTestResult<int16_t, 4> Slice4dInt16Test(armnn::IWorkloadFactory& workloadFactory, |
| 270 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 271 | { |
| 272 | return Slice4dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 273 | } |
| 274 | |
| 275 | LayerTestResult<int16_t, 3> Slice3dInt16Test(armnn::IWorkloadFactory& workloadFactory, |
| 276 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 277 | { |
| 278 | return Slice3dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 279 | } |
| 280 | |
| 281 | LayerTestResult<int16_t, 2> Slice2dInt16Test(armnn::IWorkloadFactory& workloadFactory, |
| 282 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 283 | { |
| 284 | return Slice2dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 285 | } |
| 286 | |
| 287 | LayerTestResult<int16_t, 1> Slice1dInt16Test(armnn::IWorkloadFactory& workloadFactory, |
| 288 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 289 | { |
| 290 | return Slice1dTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 291 | } |