telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 5 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 6 | #pragma once |
| 7 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 8 | #include <ResolveType.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 9 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 10 | |
Matteo Martincigh | e5b8eb9 | 2019-11-28 15:45:42 +0000 | [diff] [blame] | 11 | #include <armnn/backends/IBackendInternal.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 12 | #include <backendsCommon/WorkloadFactory.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 13 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 14 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 15 | |
| 16 | #include <test/TensorHelpers.hpp> |
| 17 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 18 | template<typename T> |
| 19 | LayerTestResult<T, 4> SimplePermuteTestImpl( |
| 20 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 21 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 22 | armnn::PermuteDescriptor descriptor, |
| 23 | armnn::TensorInfo inputTensorInfo, |
| 24 | armnn::TensorInfo outputTensorInfo, |
| 25 | const std::vector<T>& inputData, |
| 26 | const std::vector<T>& outputExpectedData) |
| 27 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 28 | IgnoreUnused(memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 29 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); |
| 30 | |
| 31 | LayerTestResult<T, 4> ret(outputTensorInfo); |
| 32 | ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputExpectedData); |
| 33 | |
| 34 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 35 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 36 | |
| 37 | armnn::PermuteQueueDescriptor data; |
| 38 | data.m_Parameters = descriptor; |
| 39 | armnn::WorkloadInfo info; |
| 40 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 41 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 42 | |
| 43 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePermute(data, info); |
| 44 | |
| 45 | inputHandle->Allocate(); |
| 46 | outputHandle->Allocate(); |
| 47 | |
| 48 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 49 | |
| 50 | workload->Execute(); |
| 51 | |
| 52 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 53 | |
| 54 | return ret; |
| 55 | } |
| 56 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 57 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 58 | LayerTestResult<T, 4> SimplePermuteTest( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 59 | armnn::IWorkloadFactory& workloadFactory, |
| 60 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 61 | { |
| 62 | armnn::TensorInfo inputTensorInfo; |
| 63 | armnn::TensorInfo outputTensorInfo; |
| 64 | |
| 65 | unsigned int inputShape[] = { 1, 2, 2, 2 }; |
| 66 | unsigned int outputShape[] = { 1, 2, 2, 2 }; |
| 67 | |
| 68 | armnn::PermuteDescriptor descriptor; |
| 69 | descriptor.m_DimMappings = {0U, 3U, 1U, 2U}; |
| 70 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 71 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 72 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 73 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 74 | // Set quantization parameters if the requested type is a quantized type. |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 75 | float qScale = 0.5f; |
| 76 | int32_t qOffset = 5; |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 77 | if(armnn::IsQuantizedType<T>()) |
| 78 | { |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 79 | inputTensorInfo.SetQuantizationScale(qScale); |
| 80 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 81 | outputTensorInfo.SetQuantizationScale(qScale); |
| 82 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 83 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 84 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 85 | std::vector<T> input = armnnUtils::QuantizedVector<T>( |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 86 | { |
| 87 | 1, 2, |
| 88 | 3, 4, |
| 89 | 5, 6, |
| 90 | 7, 8 |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 91 | }, |
| 92 | qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 93 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 94 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>( |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 95 | { |
| 96 | 1, 5, 2, 6, |
| 97 | 3, 7, 4, 8 |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 98 | }, |
| 99 | qScale, qOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 100 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 101 | return SimplePermuteTestImpl<T>(workloadFactory, memoryManager, |
| 102 | descriptor, inputTensorInfo, |
| 103 | outputTensorInfo, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 104 | } |
| 105 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 106 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 107 | LayerTestResult<T, 4> PermuteValueSet1Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 108 | armnn::IWorkloadFactory& workloadFactory, |
| 109 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 110 | { |
| 111 | armnn::TensorInfo inputTensorInfo; |
| 112 | armnn::TensorInfo outputTensorInfo; |
| 113 | |
| 114 | unsigned int inputShape[] = { 1, 2, 2, 3 }; |
| 115 | unsigned int outputShape[] = { 1, 3, 2, 2 }; |
| 116 | |
| 117 | armnn::PermuteDescriptor descriptor; |
| 118 | descriptor.m_DimMappings = {0U, 2U, 3U, 1U}; |
| 119 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 120 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 121 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 122 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 123 | // Set quantization parameters if the requested type is a quantized type. |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 124 | float qScale = 0.5f; |
| 125 | int32_t qOffset = 5; |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 126 | if(armnn::IsQuantizedType<T>()) |
| 127 | { |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 128 | inputTensorInfo.SetQuantizationScale(qScale); |
| 129 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 130 | outputTensorInfo.SetQuantizationScale(qScale); |
| 131 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 132 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 133 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 134 | std::vector<T> input = armnnUtils::QuantizedVector<T>( |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 135 | { |
| 136 | 1, 2, 3, |
| 137 | 11, 12, 13, |
| 138 | 21, 22, 23, |
| 139 | 31, 32, 33 |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 140 | }, |
| 141 | qScale, qOffset); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 142 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 143 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>( |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 144 | { |
| 145 | 1, 11, 21, 31, |
| 146 | 2, 12, 22, 32, |
| 147 | 3, 13, 23, 33 |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 148 | }, |
| 149 | qScale, qOffset); |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 150 | |
| 151 | return SimplePermuteTestImpl<T>(workloadFactory, memoryManager, |
| 152 | descriptor, inputTensorInfo, |
| 153 | outputTensorInfo, input, outputExpected); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 154 | } |
| 155 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 156 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 157 | LayerTestResult<T, 4> PermuteValueSet2Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 158 | armnn::IWorkloadFactory& workloadFactory, |
| 159 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 160 | { |
| 161 | armnn::TensorInfo inputTensorInfo; |
| 162 | armnn::TensorInfo outputTensorInfo; |
| 163 | |
| 164 | unsigned int inputShape[] = { 1, 3, 2, 2 }; |
| 165 | unsigned int outputShape[] = { 1, 2, 2, 3 }; |
| 166 | |
| 167 | armnn::PermuteDescriptor descriptor; |
| 168 | descriptor.m_DimMappings = {0U, 3U, 1U, 2U}; |
| 169 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 170 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 171 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 172 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 173 | // Set quantization parameters if the requested type is a quantized type. |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 174 | float qScale = 0.5f; |
| 175 | int32_t qOffset = 5; |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 176 | if(armnn::IsQuantizedType<T>()) |
| 177 | { |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 178 | inputTensorInfo.SetQuantizationScale(qScale); |
| 179 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 180 | outputTensorInfo.SetQuantizationScale(qScale); |
| 181 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 182 | } |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 183 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 184 | std::vector<T> input = armnnUtils::QuantizedVector<T>( |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 185 | { |
| 186 | 1, 11, 21, 31, |
| 187 | 2, 12, 22, 32, |
| 188 | 3, 13, 23, 33 |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 189 | }, |
| 190 | qScale, qOffset); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 191 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 192 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>( |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 193 | { |
| 194 | 1, 2, 3, |
| 195 | 11, 12, 13, |
| 196 | 21, 22, 23, |
| 197 | 31, 32, 33, |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 198 | }, |
| 199 | qScale, qOffset); |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 200 | |
| 201 | return SimplePermuteTestImpl<T>(workloadFactory, memoryManager, |
| 202 | descriptor, inputTensorInfo, |
| 203 | outputTensorInfo, input, outputExpected); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 204 | } |
| 205 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 206 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 207 | LayerTestResult<T, 4> PermuteValueSet3Test( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 208 | armnn::IWorkloadFactory& workloadFactory, |
| 209 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 210 | { |
| 211 | armnn::TensorInfo inputTensorInfo; |
| 212 | armnn::TensorInfo outputTensorInfo; |
| 213 | |
| 214 | unsigned int inputShape[] = { 1, 2, 3, 3 }; |
| 215 | unsigned int outputShape[] = { 1, 3, 2, 3 }; |
| 216 | |
| 217 | armnn::PermuteDescriptor descriptor; |
| 218 | descriptor.m_DimMappings = {0U, 2U, 3U, 1U}; |
| 219 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 220 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 221 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 222 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 223 | // Set quantization parameters if the requested type is a quantized type. |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 224 | float qScale = 0.5f; |
| 225 | int32_t qOffset = 5; |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 226 | if(armnn::IsQuantizedType<T>()) |
| 227 | { |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 228 | inputTensorInfo.SetQuantizationScale(qScale); |
| 229 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 230 | outputTensorInfo.SetQuantizationScale(qScale); |
| 231 | outputTensorInfo.SetQuantizationOffset(qOffset); |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 232 | } |
| 233 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 234 | std::vector<T> input = armnnUtils::QuantizedVector<T>( |
| 235 | { |
| 236 | 1, 2, 3, |
| 237 | 11, 12, 13, |
| 238 | 21, 22, 23, |
| 239 | 31, 32, 33, |
| 240 | 41, 42, 43, |
| 241 | 51, 52, 53 |
| 242 | }, |
| 243 | qScale, qOffset); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 244 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 245 | std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>( |
| 246 | { |
| 247 | 1, 11, 21, 31, 41, 51, |
| 248 | 2, 12, 22, 32, 42, 52, |
| 249 | 3, 13, 23, 33, 43, 53 |
| 250 | }, |
| 251 | qScale, qOffset); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 252 | |
Narumol Prangnawarat | 86bb4e1 | 2019-07-08 11:36:05 +0100 | [diff] [blame] | 253 | return SimplePermuteTestImpl<T>(workloadFactory, memoryManager, |
| 254 | descriptor, inputTensorInfo, |
| 255 | outputTensorInfo, input, outputExpected); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 256 | } |