Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +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> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 8 | #include "WorkloadTestUtils.hpp" |
| 9 | |
| 10 | #include <armnn/ArmNN.hpp> |
| 11 | #include <armnn/Tensor.hpp> |
| 12 | #include <armnn/TypesUtils.hpp> |
| 13 | |
| 14 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 15 | #include <backendsCommon/IBackendInternal.hpp> |
| 16 | #include <backendsCommon/WorkloadFactory.hpp> |
| 17 | |
| 18 | #include <test/TensorHelpers.hpp> |
| 19 | |
| 20 | namespace |
| 21 | { |
| 22 | |
| 23 | template<typename T, std::size_t InDim, std::size_t OutDim> |
| 24 | LayerTestResult<T, OutDim> StridedSliceTestImpl( |
| 25 | armnn::IWorkloadFactory& workloadFactory, |
| 26 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 27 | armnn::TensorInfo& inputTensorInfo, |
| 28 | armnn::TensorInfo& outputTensorInfo, |
| 29 | std::vector<float>& inputData, |
| 30 | std::vector<float>& outputExpectedData, |
| 31 | armnn::StridedSliceQueueDescriptor descriptor, |
| 32 | const float qScale = 1.0f, |
| 33 | const int32_t qOffset = 0) |
| 34 | { |
| 35 | if(armnn::IsQuantizedType<T>()) |
| 36 | { |
| 37 | inputTensorInfo.SetQuantizationScale(qScale); |
| 38 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 39 | |
| 40 | outputTensorInfo.SetQuantizationScale(qScale); |
| 41 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 42 | } |
| 43 | |
| 44 | boost::multi_array<T, InDim> input = |
| 45 | MakeTensor<T, InDim>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, inputData)); |
| 46 | |
| 47 | LayerTestResult<T, OutDim> ret(outputTensorInfo); |
| 48 | ret.outputExpected = |
| 49 | MakeTensor<T, OutDim>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, outputExpectedData)); |
| 50 | |
| 51 | std::unique_ptr<armnn::ITensorHandle> inputHandle = |
| 52 | workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 53 | |
| 54 | std::unique_ptr<armnn::ITensorHandle> outputHandle = |
| 55 | workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 56 | |
| 57 | armnn::WorkloadInfo info; |
| 58 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 59 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 60 | |
| 61 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateStridedSlice(descriptor, info); |
| 62 | |
| 63 | inputHandle->Allocate(); |
| 64 | outputHandle->Allocate(); |
| 65 | |
| 66 | CopyDataToITensorHandle(inputHandle.get(), input.data()); |
| 67 | |
| 68 | ExecuteWorkload(*workload, memoryManager); |
| 69 | |
| 70 | CopyDataFromITensorHandle(ret.output.data(), outputHandle.get()); |
| 71 | |
| 72 | return ret; |
| 73 | } |
| 74 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 75 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 76 | LayerTestResult<T, 4> StridedSlice4DTest( |
| 77 | armnn::IWorkloadFactory& workloadFactory, |
| 78 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 79 | { |
| 80 | armnn::TensorInfo inputTensorInfo; |
| 81 | armnn::TensorInfo outputTensorInfo; |
| 82 | |
| 83 | unsigned int inputShape[] = {3, 2, 3, 1}; |
| 84 | unsigned int outputShape[] = {1, 2, 3, 1}; |
| 85 | |
| 86 | armnn::StridedSliceQueueDescriptor desc; |
| 87 | desc.m_Parameters.m_Begin = {1, 0, 0, 0}; |
| 88 | desc.m_Parameters.m_End = {2, 2, 3, 1}; |
| 89 | desc.m_Parameters.m_Stride = {1, 1, 1, 1}; |
| 90 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 91 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 92 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 93 | |
| 94 | std::vector<float> input = std::vector<float>( |
| 95 | { |
| 96 | 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 97 | |
| 98 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 99 | |
| 100 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f |
| 101 | }); |
| 102 | |
| 103 | std::vector<float> outputExpected = std::vector<float>( |
| 104 | { |
| 105 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f |
| 106 | }); |
| 107 | |
| 108 | return StridedSliceTestImpl<T, 4, 4>( |
| 109 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 110 | } |
| 111 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 112 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 113 | LayerTestResult<T, 4> StridedSlice4DReverseTest( |
| 114 | armnn::IWorkloadFactory& workloadFactory, |
| 115 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 116 | { |
| 117 | armnn::TensorInfo inputTensorInfo; |
| 118 | armnn::TensorInfo outputTensorInfo; |
| 119 | |
| 120 | unsigned int inputShape[] = {3, 2, 3, 1}; |
| 121 | unsigned int outputShape[] = {1, 2, 3, 1}; |
| 122 | |
| 123 | armnn::StridedSliceQueueDescriptor desc; |
| 124 | desc.m_Parameters.m_Begin = {1, -1, 0, 0}; |
| 125 | desc.m_Parameters.m_End = {2, -3, 3, 1}; |
| 126 | desc.m_Parameters.m_Stride = {1, -1, 1, 1}; |
| 127 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 128 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 129 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 130 | |
| 131 | std::vector<float> input = std::vector<float>( |
| 132 | { |
| 133 | 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 134 | |
| 135 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 136 | |
| 137 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f |
| 138 | }); |
| 139 | |
| 140 | std::vector<float> outputExpected = std::vector<float>( |
| 141 | { |
| 142 | 4.0f, 4.0f, 4.0f, 3.0f, 3.0f, 3.0f |
| 143 | }); |
| 144 | |
| 145 | return StridedSliceTestImpl<T, 4, 4>( |
| 146 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 147 | } |
| 148 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 149 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 150 | LayerTestResult<T, 4> StridedSliceSimpleStrideTest( |
| 151 | armnn::IWorkloadFactory& workloadFactory, |
| 152 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 153 | { |
| 154 | armnn::TensorInfo inputTensorInfo; |
| 155 | armnn::TensorInfo outputTensorInfo; |
| 156 | |
| 157 | unsigned int inputShape[] = {3, 2, 3, 1}; |
| 158 | unsigned int outputShape[] = {2, 1, 2, 1}; |
| 159 | |
| 160 | armnn::StridedSliceQueueDescriptor desc; |
| 161 | desc.m_Parameters.m_Begin = {0, 0, 0, 0}; |
| 162 | desc.m_Parameters.m_End = {3, 2, 3, 1}; |
| 163 | desc.m_Parameters.m_Stride = {2, 2, 2, 1}; |
| 164 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 165 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 166 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 167 | |
| 168 | std::vector<float> input = std::vector<float>( |
| 169 | { |
| 170 | 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 171 | |
| 172 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 173 | |
| 174 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f |
| 175 | }); |
| 176 | |
| 177 | std::vector<float> outputExpected = std::vector<float>( |
| 178 | { |
| 179 | 1.0f, 1.0f, |
| 180 | |
| 181 | 5.0f, 5.0f |
| 182 | }); |
| 183 | |
| 184 | return StridedSliceTestImpl<T, 4, 4>( |
| 185 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 186 | } |
| 187 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 188 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 189 | LayerTestResult<T, 4> StridedSliceSimpleRangeMaskTest( |
| 190 | armnn::IWorkloadFactory& workloadFactory, |
| 191 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 192 | { |
| 193 | armnn::TensorInfo inputTensorInfo; |
| 194 | armnn::TensorInfo outputTensorInfo; |
| 195 | |
| 196 | unsigned int inputShape[] = {3, 2, 3, 1}; |
| 197 | unsigned int outputShape[] = {3, 2, 3, 1}; |
| 198 | |
| 199 | armnn::StridedSliceQueueDescriptor desc; |
| 200 | desc.m_Parameters.m_Begin = {1, 1, 1, 1}; |
| 201 | desc.m_Parameters.m_End = {1, 1, 1, 1}; |
| 202 | desc.m_Parameters.m_Stride = {1, 1, 1, 1}; |
| 203 | desc.m_Parameters.m_BeginMask = (1 << 4) - 1; |
| 204 | desc.m_Parameters.m_EndMask = (1 << 4) - 1; |
| 205 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 206 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 207 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 208 | |
| 209 | std::vector<float> input = std::vector<float>( |
| 210 | { |
| 211 | 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 212 | |
| 213 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 214 | |
| 215 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f |
| 216 | }); |
| 217 | |
| 218 | std::vector<float> outputExpected = std::vector<float>( |
| 219 | { |
| 220 | 1.0f, 1.0f, 1.0f, 2.0f, 2.0f, 2.0f, |
| 221 | |
| 222 | 3.0f, 3.0f, 3.0f, 4.0f, 4.0f, 4.0f, |
| 223 | |
| 224 | 5.0f, 5.0f, 5.0f, 6.0f, 6.0f, 6.0f |
| 225 | }); |
| 226 | |
| 227 | return StridedSliceTestImpl<T, 4, 4>( |
| 228 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 229 | } |
| 230 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 231 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 232 | LayerTestResult<T, 2> StridedSliceShrinkAxisMaskTest( |
| 233 | armnn::IWorkloadFactory& workloadFactory, |
| 234 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 235 | { |
| 236 | armnn::TensorInfo inputTensorInfo; |
| 237 | armnn::TensorInfo outputTensorInfo; |
| 238 | |
| 239 | unsigned int inputShape[] = {3, 2, 3, 1}; |
| 240 | unsigned int outputShape[] = {3, 1}; |
| 241 | |
| 242 | armnn::StridedSliceQueueDescriptor desc; |
| 243 | desc.m_Parameters.m_Begin = {0, 0, 1, 0}; |
| 244 | desc.m_Parameters.m_End = {1, 1, 1, 1}; |
| 245 | desc.m_Parameters.m_Stride = {1, 1, 1, 1}; |
| 246 | desc.m_Parameters.m_EndMask = (1 << 4) - 1; |
| 247 | desc.m_Parameters.m_ShrinkAxisMask = (1 << 1) | (1 << 2); |
| 248 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 249 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 250 | outputTensorInfo = armnn::TensorInfo(2, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 251 | |
| 252 | std::vector<float> input = std::vector<float>( |
| 253 | { |
| 254 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, |
| 255 | |
| 256 | 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, |
| 257 | |
| 258 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 259 | }); |
| 260 | |
| 261 | std::vector<float> outputExpected = std::vector<float>( |
| 262 | { |
| 263 | 2.0f, 8.0f, 14.0f |
| 264 | }); |
| 265 | |
| 266 | return StridedSliceTestImpl<T, 4, 2>( |
| 267 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 268 | } |
| 269 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 270 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 271 | LayerTestResult<T, 3> StridedSlice3DTest( |
| 272 | armnn::IWorkloadFactory& workloadFactory, |
| 273 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 274 | { |
| 275 | armnn::TensorInfo inputTensorInfo; |
| 276 | armnn::TensorInfo outputTensorInfo; |
| 277 | |
| 278 | unsigned int inputShape[] = {3, 3, 3}; |
| 279 | unsigned int outputShape[] = {2, 2, 2}; |
| 280 | |
| 281 | armnn::StridedSliceQueueDescriptor desc; |
| 282 | desc.m_Parameters.m_Begin = {0, 0, 0}; |
| 283 | desc.m_Parameters.m_End = {1, 1, 1}; |
| 284 | desc.m_Parameters.m_Stride = {2, 2, 2}; |
| 285 | desc.m_Parameters.m_EndMask = (1 << 3) - 1; |
| 286 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 287 | inputTensorInfo = armnn::TensorInfo(3, inputShape, ArmnnType); |
| 288 | outputTensorInfo = armnn::TensorInfo(3, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 289 | |
| 290 | std::vector<float> input = std::vector<float>( |
| 291 | { |
| 292 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 293 | |
| 294 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 295 | |
| 296 | 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f |
| 297 | }); |
| 298 | |
| 299 | std::vector<float> outputExpected = std::vector<float>( |
| 300 | { |
| 301 | 1.0f, 3.0f, 7.0f, 9.0f, |
| 302 | |
| 303 | 19.0f, 21.0f, 25.0f, 27.0f |
| 304 | }); |
| 305 | |
| 306 | return StridedSliceTestImpl<T, 3, 3>( |
| 307 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 308 | } |
| 309 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 310 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 311 | LayerTestResult<T, 3> StridedSlice3DReverseTest( |
| 312 | armnn::IWorkloadFactory& workloadFactory, |
| 313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 314 | { |
| 315 | armnn::TensorInfo inputTensorInfo; |
| 316 | armnn::TensorInfo outputTensorInfo; |
| 317 | |
| 318 | unsigned int inputShape[] = {3, 3, 3}; |
| 319 | unsigned int outputShape[] = {2, 2, 2}; |
| 320 | |
| 321 | armnn::StridedSliceQueueDescriptor desc; |
| 322 | desc.m_Parameters.m_Begin = {-1, -1, -1}; |
| 323 | desc.m_Parameters.m_End = {-4, -4, -4}; |
| 324 | desc.m_Parameters.m_Stride = {-2, -2, -2}; |
| 325 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 326 | inputTensorInfo = armnn::TensorInfo(3, inputShape, ArmnnType); |
| 327 | outputTensorInfo = armnn::TensorInfo(3, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 328 | |
| 329 | std::vector<float> input = std::vector<float>( |
| 330 | { |
| 331 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
| 332 | |
| 333 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 334 | |
| 335 | 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f, 27.0f |
| 336 | }); |
| 337 | |
| 338 | std::vector<float> outputExpected = std::vector<float>( |
| 339 | { |
| 340 | 27.0f, 25.0f, 21.0f, 19.0f, |
| 341 | |
| 342 | 9.0f, 7.0f, 3.0f, 1.0f |
| 343 | }); |
| 344 | |
| 345 | return StridedSliceTestImpl<T, 3, 3>( |
| 346 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 347 | } |
| 348 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 349 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 350 | LayerTestResult<T, 2> StridedSlice2DTest( |
| 351 | armnn::IWorkloadFactory& workloadFactory, |
| 352 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 353 | { |
| 354 | armnn::TensorInfo inputTensorInfo; |
| 355 | armnn::TensorInfo outputTensorInfo; |
| 356 | |
| 357 | unsigned int inputShape[] = {3, 3}; |
| 358 | unsigned int outputShape[] = {2, 2}; |
| 359 | |
| 360 | armnn::StridedSliceQueueDescriptor desc; |
| 361 | desc.m_Parameters.m_Begin = {0, 0}; |
| 362 | desc.m_Parameters.m_End = {1, 1}; |
| 363 | desc.m_Parameters.m_Stride = {2, 2}; |
| 364 | desc.m_Parameters.m_EndMask = (1 << 2) - 1; |
| 365 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 366 | inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType); |
| 367 | outputTensorInfo = armnn::TensorInfo(2, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 368 | |
| 369 | std::vector<float> input = std::vector<float>( |
| 370 | { |
| 371 | 1.0f, 2.0f, 3.0f, |
| 372 | |
| 373 | 4.0f, 5.0f, 6.0f, |
| 374 | |
| 375 | 7.0f, 8.0f, 9.0f |
| 376 | }); |
| 377 | |
| 378 | std::vector<float> outputExpected = std::vector<float>( |
| 379 | { |
| 380 | 1.0f, 3.0f, |
| 381 | |
| 382 | 7.0f, 9.0f |
| 383 | }); |
| 384 | |
| 385 | return StridedSliceTestImpl<T, 2, 2>( |
| 386 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 387 | } |
| 388 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 389 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 390 | LayerTestResult<T, 2> StridedSlice2DReverseTest( |
| 391 | armnn::IWorkloadFactory& workloadFactory, |
| 392 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 393 | { |
| 394 | armnn::TensorInfo inputTensorInfo; |
| 395 | armnn::TensorInfo outputTensorInfo; |
| 396 | |
| 397 | unsigned int inputShape[] = {3, 3}; |
| 398 | unsigned int outputShape[] = {2, 2}; |
| 399 | |
| 400 | armnn::StridedSliceQueueDescriptor desc; |
| 401 | desc.m_Parameters.m_Begin = {0, 0}; |
| 402 | desc.m_Parameters.m_End = {1, 1}; |
| 403 | desc.m_Parameters.m_Stride = {-2, -2}; |
| 404 | desc.m_Parameters.m_BeginMask = (1 << 2) - 1; |
| 405 | desc.m_Parameters.m_EndMask = (1 << 2) - 1; |
| 406 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 407 | inputTensorInfo = armnn::TensorInfo(2, inputShape, ArmnnType); |
| 408 | outputTensorInfo = armnn::TensorInfo(2, outputShape, ArmnnType); |
Nattapat Chaimanowong | 1216b58 | 2018-11-23 15:33:41 +0000 | [diff] [blame] | 409 | |
| 410 | std::vector<float> input = std::vector<float>( |
| 411 | { |
| 412 | 1.0f, 2.0f, 3.0f, |
| 413 | |
| 414 | 4.0f, 5.0f, 6.0f, |
| 415 | |
| 416 | 7.0f, 8.0f, 9.0f |
| 417 | }); |
| 418 | |
| 419 | std::vector<float> outputExpected = std::vector<float>( |
| 420 | { |
| 421 | 9.0f, 7.0f, |
| 422 | |
| 423 | 3.0f, 1.0f |
| 424 | }); |
| 425 | |
| 426 | return StridedSliceTestImpl<T, 2, 2>( |
| 427 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
| 428 | } |
| 429 | |
| 430 | } // anonymous namespace |