Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +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 | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 7 | #include "WorkloadTestUtils.hpp" |
| 8 | |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 9 | #include <armnn/ArmNN.hpp> |
| 10 | #include <armnn/Tensor.hpp> |
| 11 | #include <armnn/TypesUtils.hpp> |
| 12 | |
| 13 | #include <backendsCommon/CpuTensorHandle.hpp> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 14 | #include <backendsCommon/IBackendInternal.hpp> |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 15 | #include <backendsCommon/WorkloadFactory.hpp> |
| 16 | |
| 17 | #include <test/TensorHelpers.hpp> |
| 18 | |
| 19 | template<typename T> |
| 20 | LayerTestResult<T, 4> SpaceToBatchNdTestImpl( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 21 | armnn::IWorkloadFactory& workloadFactory, |
| 22 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 23 | armnn::TensorInfo& inputTensorInfo, |
| 24 | armnn::TensorInfo& outputTensorInfo, |
| 25 | std::vector<float>& inputData, |
| 26 | std::vector<float>& outputExpectedData, |
| 27 | armnn::SpaceToBatchNdQueueDescriptor descriptor, |
| 28 | const float qScale = 1.0f, |
| 29 | const int32_t qOffset = 0) |
| 30 | { |
| 31 | const armnn::PermutationVector NCHWToNHWC = {0, 3, 1, 2}; |
| 32 | if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NHWC) |
| 33 | { |
| 34 | inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NCHWToNHWC); |
| 35 | outputTensorInfo = armnnUtils::Permuted(outputTensorInfo, NCHWToNHWC); |
| 36 | |
| 37 | std::vector<float> inputTmp(inputData.size()); |
| 38 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), inputTmp.data()); |
| 39 | inputData = inputTmp; |
| 40 | |
| 41 | std::vector<float> outputTmp(outputExpectedData.size()); |
| 42 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputExpectedData.data(), outputTmp.data()); |
| 43 | outputExpectedData = outputTmp; |
| 44 | } |
| 45 | |
| 46 | if(armnn::IsQuantizedType<T>()) |
| 47 | { |
| 48 | inputTensorInfo.SetQuantizationScale(qScale); |
| 49 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 50 | outputTensorInfo.SetQuantizationScale(qScale); |
| 51 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 52 | } |
| 53 | |
| 54 | boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, inputData)); |
| 55 | |
| 56 | LayerTestResult<T, 4> ret(outputTensorInfo); |
| 57 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, outputExpectedData)); |
| 58 | |
| 59 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 60 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 61 | |
| 62 | armnn::WorkloadInfo info; |
| 63 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 64 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 65 | |
| 66 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSpaceToBatchNd(descriptor, info); |
| 67 | |
| 68 | inputHandle->Allocate(); |
| 69 | outputHandle->Allocate(); |
| 70 | |
| 71 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 72 | |
| 73 | workload->Execute(); |
| 74 | |
| 75 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 76 | |
| 77 | return ret; |
| 78 | } |
| 79 | |
| 80 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 81 | LayerTestResult<T, 4> SpaceToBatchNdSimpleTest( |
| 82 | armnn::IWorkloadFactory& workloadFactory, |
| 83 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 84 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 85 | { |
| 86 | armnn::TensorInfo inputTensorInfo; |
| 87 | armnn::TensorInfo outputTensorInfo; |
| 88 | |
| 89 | unsigned int inputShape[] = {1, 1, 2, 2}; |
| 90 | unsigned int outputShape[] = {4, 1, 1, 1}; |
| 91 | |
| 92 | armnn::SpaceToBatchNdQueueDescriptor desc; |
| 93 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 94 | desc.m_Parameters.m_BlockShape = {2, 2}; |
| 95 | desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| 96 | |
| 97 | inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::GetDataType<T>()); |
| 98 | outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); |
| 99 | |
| 100 | std::vector<float> input = std::vector<float>( |
| 101 | { |
| 102 | 1.0f, 2.0f, 3.0f, 4.0f |
| 103 | }); |
| 104 | |
| 105 | std::vector<float> outputExpected = std::vector<float>( |
| 106 | { |
| 107 | 1.0f, 2.0f, 3.0f, 4.0f |
| 108 | }); |
| 109 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 110 | return SpaceToBatchNdTestImpl<T>( |
| 111 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 112 | } |
| 113 | |
| 114 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 115 | LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsTest( |
| 116 | armnn::IWorkloadFactory& workloadFactory, |
| 117 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 118 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 119 | { |
| 120 | armnn::TensorInfo inputTensorInfo; |
| 121 | armnn::TensorInfo outputTensorInfo; |
| 122 | |
| 123 | unsigned int inputShape[] = {1, 3, 2, 2}; |
| 124 | unsigned int outputShape[] = {4, 3, 1, 1}; |
| 125 | |
| 126 | armnn::SpaceToBatchNdQueueDescriptor desc; |
| 127 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 128 | desc.m_Parameters.m_BlockShape = {2, 2}; |
| 129 | desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| 130 | |
| 131 | inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::GetDataType<T>()); |
| 132 | outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); |
| 133 | |
| 134 | std::vector<float> input = std::vector<float>( |
| 135 | { |
| 136 | 1.0f, 4.0f, 7.0f, 10.0f, |
| 137 | 2.0f, 5.0, 8.0, 11.0f, |
| 138 | 3.0f, 6.0f, 9.0f, 12.0f |
| 139 | }); |
| 140 | |
| 141 | std::vector<float> outputExpected = std::vector<float>( |
| 142 | { |
| 143 | 1.0f, 2.0f, 3.0f, |
| 144 | 4.0f, 5.0f, 6.0f, |
| 145 | 7.0f, 8.0f, 9.0f, |
| 146 | 10.0f, 11.0f, 12.0f |
| 147 | }); |
| 148 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 149 | return SpaceToBatchNdTestImpl<T>( |
| 150 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 151 | } |
| 152 | |
| 153 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 154 | LayerTestResult<T, 4> SpaceToBatchNdMultiBlockTest( |
| 155 | armnn::IWorkloadFactory& workloadFactory, |
| 156 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 157 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 158 | { |
| 159 | armnn::TensorInfo inputTensorInfo; |
| 160 | armnn::TensorInfo outputTensorInfo; |
| 161 | |
| 162 | unsigned int inputShape[] = {1, 1, 4, 4}; |
| 163 | unsigned int outputShape[] = {4, 1, 2, 2}; |
| 164 | |
| 165 | armnn::SpaceToBatchNdQueueDescriptor desc; |
| 166 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 167 | desc.m_Parameters.m_BlockShape = {2, 2}; |
| 168 | desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}}; |
| 169 | |
| 170 | inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::GetDataType<T>()); |
| 171 | outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); |
| 172 | |
| 173 | std::vector<float> input = std::vector<float>( |
| 174 | { |
| 175 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 176 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 177 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 178 | 13.0f, 14.0f, 15.0f, 16.0f |
| 179 | }); |
| 180 | |
| 181 | std::vector<float> outputExpected = std::vector<float>( |
| 182 | { |
| 183 | 1.0f, 3.0f, 9.0f, 11.0f, |
| 184 | 2.0f, 4.0f, 10.0f, 12.0f, |
| 185 | 5.0f, 7.0f, 13.0f, 15.0f, |
| 186 | 6.0f, 8.0f, 14.0f, 16.0f |
| 187 | }); |
| 188 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 189 | return SpaceToBatchNdTestImpl<T>( |
| 190 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 191 | } |
| 192 | |
| 193 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 194 | LayerTestResult<T, 4> SpaceToBatchNdPaddingTest( |
| 195 | armnn::IWorkloadFactory& workloadFactory, |
| 196 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 197 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 198 | { |
| 199 | armnn::TensorInfo inputTensorInfo; |
| 200 | armnn::TensorInfo outputTensorInfo; |
| 201 | |
| 202 | unsigned int inputShape[] = {2, 1, 2, 4}; |
| 203 | unsigned int outputShape[] = {8, 1, 1, 3}; |
| 204 | |
| 205 | armnn::SpaceToBatchNdQueueDescriptor desc; |
| 206 | desc.m_Parameters.m_DataLayout = dataLayout; |
| 207 | desc.m_Parameters.m_BlockShape = {2, 2}; |
| 208 | desc.m_Parameters.m_PadList = {{0, 0}, {2, 0}}; |
| 209 | |
| 210 | inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::GetDataType<T>()); |
| 211 | outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::GetDataType<T>()); |
| 212 | |
| 213 | std::vector<float> input = std::vector<float>( |
| 214 | { |
| 215 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 216 | 5.0f, 6.0f, 7.0f, 8.0f, |
| 217 | 9.0f, 10.0f, 11.0f, 12.0f, |
| 218 | 13.0f, 14.0f, 15.0f, 16.0f |
| 219 | }); |
| 220 | |
| 221 | std::vector<float> outputExpected = std::vector<float>( |
| 222 | { |
| 223 | 0.0f, 1.0f, 3.0f, |
| 224 | 0.0f, 9.0f, 11.0f, |
| 225 | 0.0f, 2.0f, 4.0f, |
| 226 | 0.0f, 10.0f, 12.0f, |
| 227 | 0.0f, 5.0f, 7.0f, |
| 228 | 0.0f, 13.0f, 15.0f, |
| 229 | 0.0f, 6.0f, 8.0f, |
| 230 | 0.0f, 14.0f, 16.0f |
| 231 | }); |
| 232 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 233 | return SpaceToBatchNdTestImpl<T>( |
| 234 | workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 235 | } |
| 236 | |
| 237 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 238 | LayerTestResult<T, 4> SpaceToBatchNdSimpleNHWCTest( |
| 239 | armnn::IWorkloadFactory& workloadFactory, |
| 240 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 241 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 242 | return SpaceToBatchNdSimpleTest<T>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 243 | } |
| 244 | |
| 245 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 246 | LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsNHWCTest( |
| 247 | armnn::IWorkloadFactory& workloadFactory, |
| 248 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 249 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 250 | return SpaceToBatchNdMultiChannelsTest<T>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 251 | } |
| 252 | |
| 253 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 254 | LayerTestResult<T, 4> SpaceToBatchNdMultiBlockNHWCTest( |
| 255 | armnn::IWorkloadFactory& workloadFactory, |
| 256 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 257 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 258 | return SpaceToBatchNdMultiBlockTest<T>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 259 | } |
| 260 | |
| 261 | template <typename T> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 262 | LayerTestResult<T, 4> SpaceToBatchNdPaddingNHWCTest( |
| 263 | armnn::IWorkloadFactory& workloadFactory, |
| 264 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 265 | { |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame^] | 266 | return SpaceToBatchNdPaddingTest<T>(workloadFactory, memoryManager, armnn::DataLayout::NHWC); |
Nattapat Chaimanowong | 3ea76d5 | 2018-11-09 14:10:38 +0000 | [diff] [blame] | 267 | } |