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 | // |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 5 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 6 | #include <test/CreateWorkload.hpp> |
arovir01 | 43095f3 | 2018-10-09 18:04:24 +0100 | [diff] [blame] | 7 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 8 | #include <backendsCommon/CpuTensorHandle.hpp> |
| 9 | #include <reference/RefWorkloadFactory.hpp> |
| 10 | #include <reference/workloads/RefWorkloads.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 11 | |
| 12 | namespace |
| 13 | { |
| 14 | |
| 15 | template<typename Workload> |
| 16 | void CheckInputOutput(std::unique_ptr<Workload> workload, const TensorInfo& inputInfo, const TensorInfo& outputInfo) |
| 17 | { |
| 18 | auto queueDescriptor = workload->GetData(); |
| 19 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 20 | auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 21 | BOOST_TEST((inputHandle->GetTensorInfo() == inputInfo)); |
| 22 | BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo)); |
| 23 | } |
| 24 | |
| 25 | template <typename Workload> |
| 26 | void CheckInputsOutput(std::unique_ptr<Workload> workload, |
| 27 | const TensorInfo& inputInfo0, |
| 28 | const TensorInfo& inputInfo1, |
| 29 | const TensorInfo& outputInfo) |
| 30 | { |
| 31 | auto queueDescriptor = workload->GetData(); |
| 32 | auto inputHandle0 = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 33 | auto inputHandle1 = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 34 | auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 35 | BOOST_TEST((inputHandle0->GetTensorInfo() == inputInfo0)); |
| 36 | BOOST_TEST((inputHandle1->GetTensorInfo() == inputInfo1)); |
| 37 | BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo)); |
| 38 | } |
| 39 | } |
| 40 | |
| 41 | BOOST_AUTO_TEST_SUITE(CreateWorkloadRef) |
| 42 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 43 | template <typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 44 | static void RefCreateActivationWorkloadTest() |
| 45 | { |
| 46 | Graph graph; |
| 47 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 48 | auto workload = CreateActivationWorkloadTest<ActivationWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 49 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 50 | // Checks that outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 51 | CheckInputOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 52 | TensorInfo({ 1, 1 }, DataType), |
| 53 | TensorInfo({ 1, 1 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 54 | } |
| 55 | |
| 56 | BOOST_AUTO_TEST_CASE(CreateActivationFloat32Workload) |
| 57 | { |
Nattapat Chaimanowong | ae2c5f0 | 2019-04-24 16:19:57 +0100 | [diff] [blame] | 58 | RefCreateActivationWorkloadTest<RefActivationWorkload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 59 | } |
| 60 | |
| 61 | BOOST_AUTO_TEST_CASE(CreateActivationUint8Workload) |
| 62 | { |
Nattapat Chaimanowong | ae2c5f0 | 2019-04-24 16:19:57 +0100 | [diff] [blame] | 63 | RefCreateActivationWorkloadTest<RefActivationWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 64 | } |
| 65 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 66 | template <typename WorkloadType, |
| 67 | typename DescriptorType, |
| 68 | typename LayerType, |
| 69 | armnn::DataType DataType> |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 70 | static void RefCreateElementwiseWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 71 | { |
| 72 | Graph graph; |
| 73 | RefWorkloadFactory factory; |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 74 | auto workload = CreateElementwiseWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>( |
| 75 | factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 76 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 77 | CheckInputsOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 78 | TensorInfo({ 2, 3 }, DataType), |
| 79 | TensorInfo({ 2, 3 }, DataType), |
| 80 | TensorInfo({ 2, 3 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 81 | } |
| 82 | |
| 83 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
| 84 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 85 | RefCreateElementwiseWorkloadTest<RefAdditionWorkload, |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 86 | AdditionQueueDescriptor, |
| 87 | AdditionLayer, |
| 88 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 89 | } |
| 90 | |
| 91 | BOOST_AUTO_TEST_CASE(CreateAdditionUint8Workload) |
| 92 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 93 | RefCreateElementwiseWorkloadTest<RefAdditionWorkload, |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 94 | AdditionQueueDescriptor, |
| 95 | AdditionLayer, |
| 96 | armnn::DataType::QuantisedAsymm8>(); |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 97 | } |
| 98 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 99 | BOOST_AUTO_TEST_CASE(CreateAdditionInt16Workload) |
| 100 | { |
| 101 | RefCreateElementwiseWorkloadTest<RefAdditionWorkload, |
| 102 | AdditionQueueDescriptor, |
| 103 | AdditionLayer, |
| 104 | armnn::DataType::QuantisedSymm16>(); |
| 105 | } |
| 106 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 107 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 108 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 109 | RefCreateElementwiseWorkloadTest<RefSubtractionWorkload, |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 110 | SubtractionQueueDescriptor, |
| 111 | SubtractionLayer, |
| 112 | armnn::DataType::Float32>(); |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 113 | } |
| 114 | |
| 115 | BOOST_AUTO_TEST_CASE(CreateSubtractionUint8Workload) |
| 116 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 117 | RefCreateElementwiseWorkloadTest<RefSubtractionWorkload, |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 118 | SubtractionQueueDescriptor, |
| 119 | SubtractionLayer, |
| 120 | armnn::DataType::QuantisedAsymm8>(); |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 121 | } |
| 122 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 123 | BOOST_AUTO_TEST_CASE(CreateSubtractionInt16Workload) |
| 124 | { |
| 125 | RefCreateElementwiseWorkloadTest<RefSubtractionWorkload, |
| 126 | SubtractionQueueDescriptor, |
| 127 | SubtractionLayer, |
| 128 | armnn::DataType::QuantisedSymm16>(); |
| 129 | } |
| 130 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 131 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 132 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 133 | RefCreateElementwiseWorkloadTest<RefMultiplicationWorkload, |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 134 | MultiplicationQueueDescriptor, |
| 135 | MultiplicationLayer, |
| 136 | armnn::DataType::Float32>(); |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 137 | } |
| 138 | |
| 139 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload) |
| 140 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 141 | RefCreateElementwiseWorkloadTest<RefMultiplicationWorkload, |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 142 | MultiplicationQueueDescriptor, |
| 143 | MultiplicationLayer, |
| 144 | armnn::DataType::QuantisedAsymm8>(); |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 145 | } |
| 146 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 147 | BOOST_AUTO_TEST_CASE(CreateMultiplicationInt16Workload) |
| 148 | { |
| 149 | RefCreateElementwiseWorkloadTest<RefMultiplicationWorkload, |
| 150 | MultiplicationQueueDescriptor, |
| 151 | MultiplicationLayer, |
| 152 | armnn::DataType::QuantisedSymm16>(); |
| 153 | } |
| 154 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 155 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkload) |
| 156 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 157 | RefCreateElementwiseWorkloadTest<RefDivisionWorkload, |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 158 | DivisionQueueDescriptor, |
| 159 | DivisionLayer, |
| 160 | armnn::DataType::Float32>(); |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 161 | } |
| 162 | |
| 163 | BOOST_AUTO_TEST_CASE(CreateDivisionUint8Workload) |
| 164 | { |
Sadik Armagan | 2e6dc3a | 2019-04-03 17:48:18 +0100 | [diff] [blame] | 165 | RefCreateElementwiseWorkloadTest<RefDivisionWorkload, |
Éanna Ó Catháin | d57415d | 2018-11-28 16:24:38 +0000 | [diff] [blame] | 166 | DivisionQueueDescriptor, |
| 167 | DivisionLayer, |
| 168 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 169 | } |
| 170 | |
Sadik Armagan | 2999a02 | 2019-04-09 14:20:12 +0100 | [diff] [blame] | 171 | BOOST_AUTO_TEST_CASE(CreateDivisionInt16Workload) |
| 172 | { |
| 173 | RefCreateElementwiseWorkloadTest<RefDivisionWorkload, |
| 174 | DivisionQueueDescriptor, |
| 175 | DivisionLayer, |
| 176 | armnn::DataType::QuantisedSymm16>(); |
| 177 | } |
| 178 | |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 179 | template <typename BatchNormalizationWorkloadType, armnn::DataType DataType> |
| 180 | static void RefCreateBatchNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 181 | { |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 182 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 183 | RefWorkloadFactory factory; |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 184 | auto workload = |
| 185 | CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
| 186 | |
| 187 | TensorShape inputShape; |
| 188 | TensorShape outputShape; |
| 189 | |
| 190 | switch (dataLayout) |
| 191 | { |
| 192 | case DataLayout::NHWC: |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 193 | inputShape = { 2, 4, 4, 3 }; |
| 194 | outputShape = { 2, 4, 4, 3 }; |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 195 | break; |
| 196 | case DataLayout::NCHW: |
| 197 | default: |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 198 | inputShape = { 2, 3, 4, 4 }; |
| 199 | outputShape = { 2, 3, 4, 4 }; |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 200 | break; |
| 201 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 202 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 203 | // Checks that outputs and inputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 204 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
| 205 | } |
| 206 | |
| 207 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat32Workload) |
| 208 | { |
| 209 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationFloat32Workload,armnn::DataType::Float32> |
| 210 | (DataLayout::NCHW); |
| 211 | } |
| 212 | |
| 213 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat32WorkloadNhwc) |
| 214 | { |
| 215 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationFloat32Workload, armnn::DataType::Float32> |
| 216 | (DataLayout::NHWC); |
| 217 | } |
| 218 | |
| 219 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationUint8Workload) |
| 220 | { |
| 221 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationUint8Workload, armnn::DataType::QuantisedAsymm8> |
| 222 | (DataLayout::NCHW); |
| 223 | } |
| 224 | |
| 225 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationUint8WorkloadNhwc) |
| 226 | { |
| 227 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationUint8Workload, armnn::DataType::QuantisedAsymm8> |
| 228 | (DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 229 | } |
| 230 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 231 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Float32Workload) |
| 232 | { |
| 233 | Graph graph; |
| 234 | RefWorkloadFactory factory; |
| 235 | auto workload = CreateConvertFp16ToFp32WorkloadTest<RefConvertFp16ToFp32Workload>(factory, graph); |
| 236 | |
| 237 | // Checks that outputs and inputs are as we expect them |
| 238 | CheckInputOutput( |
| 239 | std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float16), TensorInfo({1, 3, 2, 3}, DataType::Float32)); |
| 240 | } |
| 241 | |
| 242 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Float16Workload) |
| 243 | { |
| 244 | Graph graph; |
| 245 | RefWorkloadFactory factory; |
| 246 | auto workload = CreateConvertFp32ToFp16WorkloadTest<RefConvertFp32ToFp16Workload>(factory, graph); |
| 247 | |
| 248 | // Checks that outputs and inputs are as we expect them |
| 249 | CheckInputOutput( |
| 250 | std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float32), TensorInfo({1, 3, 2, 3}, DataType::Float16)); |
| 251 | } |
| 252 | |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 253 | static void RefCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 254 | { |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 255 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 256 | RefWorkloadFactory factory; |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 257 | auto workload = CreateConvolution2dWorkloadTest<RefConvolution2dWorkload, DataType::Float32> |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 258 | (factory, graph, dataLayout); |
| 259 | |
| 260 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 261 | std::initializer_list<unsigned int>({2, 3, 8, 16}) : std::initializer_list<unsigned int>({2, 8, 16, 3}); |
| 262 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 263 | std::initializer_list<unsigned int>({2, 2, 2, 10}) : std::initializer_list<unsigned int>({2, 2, 10, 2}); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 264 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 265 | // Checks that outputs and inputs are as we expect them (see definition of CreateConvolution2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 266 | CheckInputOutput(std::move(workload), |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 267 | TensorInfo(inputShape, DataType::Float32), |
| 268 | TensorInfo(outputShape, DataType::Float32)); |
| 269 | } |
| 270 | |
| 271 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
| 272 | { |
| 273 | RefCreateConvolution2dWorkloadTest(DataLayout::NCHW); |
| 274 | } |
| 275 | |
| 276 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 277 | { |
| 278 | RefCreateConvolution2dWorkloadTest(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 279 | } |
| 280 | |
Ruomei Yan | 495852f | 2019-05-23 11:37:33 +0100 | [diff] [blame] | 281 | static void RefCreateDepthwiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 282 | { |
| 283 | Graph graph; |
| 284 | RefWorkloadFactory factory; |
| 285 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<RefDepthwiseConvolution2dWorkload, DataType::Float32> |
| 286 | (factory, graph, dataLayout); |
| 287 | |
| 288 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 289 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 290 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 291 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 292 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 293 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 294 | // Checks that inputs/outputs are as we expect them (see definition of CreateDepthwiseConvolution2dWorkloadTest). |
| 295 | CheckInputOutput(std::move(workload), |
| 296 | TensorInfo(inputShape, DataType::Float32), |
| 297 | TensorInfo(outputShape, DataType::Float32)); |
| 298 | } |
| 299 | |
| 300 | BOOST_AUTO_TEST_CASE(CreateDepthwiseConvolutionFloat32NhwcWorkload) |
| 301 | { |
| 302 | RefCreateDepthwiseConvolutionWorkloadTest(DataLayout::NHWC); |
| 303 | } |
| 304 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 305 | template <typename FullyConnectedWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 306 | static void RefCreateFullyConnectedWorkloadTest() |
| 307 | { |
| 308 | Graph graph; |
| 309 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 310 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 311 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 312 | // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). |
| 313 | float inputsQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 1.0f : 0.0; |
| 314 | float outputQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 2.0f : 0.0; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 315 | CheckInputOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 316 | TensorInfo({ 3, 1, 4, 5 }, DataType, inputsQScale), |
| 317 | TensorInfo({ 3, 7 }, DataType, outputQScale)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 318 | } |
| 319 | |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 320 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedWorkloadFloat32) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 321 | { |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 322 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 323 | } |
| 324 | |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 325 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedWorkloadQuantisedAsymm8) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 326 | { |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 327 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 328 | } |
| 329 | |
Francis Murtagh | 46c09d0 | 2019-05-28 08:15:28 +0100 | [diff] [blame] | 330 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedWorkloadQuantisedAsymm16) |
| 331 | { |
| 332 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::QuantisedSymm16>(); |
| 333 | } |
| 334 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 335 | template <typename NormalizationWorkloadType, armnn::DataType DataType> |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 336 | static void RefCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 337 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 338 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 339 | RefWorkloadFactory factory; |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 340 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
| 341 | |
| 342 | TensorShape inputShape; |
| 343 | TensorShape outputShape; |
| 344 | |
| 345 | switch (dataLayout) |
| 346 | { |
| 347 | case DataLayout::NHWC: |
| 348 | inputShape = { 3, 1, 5, 5 }; |
| 349 | outputShape = { 3, 1, 5, 5 }; |
| 350 | break; |
| 351 | case DataLayout::NCHW: |
| 352 | default: |
| 353 | inputShape = { 3, 5, 5, 1 }; |
| 354 | outputShape = { 3, 5, 5, 1 }; |
| 355 | break; |
| 356 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 357 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 358 | // Checks that outputs and inputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 359 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 360 | } |
| 361 | |
| 362 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationNchwWorkload) |
| 363 | { |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 364 | RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 365 | } |
| 366 | |
| 367 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationNhwcWorkload) |
| 368 | { |
| 369 | RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 370 | } |
| 371 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 372 | template <typename Pooling2dWorkloadType, armnn::DataType DataType> |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 373 | static void RefCreatePooling2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 374 | { |
| 375 | Graph graph; |
| 376 | RefWorkloadFactory factory; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 377 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph, dataLayout); |
| 378 | |
| 379 | TensorShape inputShape; |
| 380 | TensorShape outputShape; |
| 381 | |
| 382 | switch (dataLayout) |
| 383 | { |
| 384 | case DataLayout::NHWC: |
| 385 | inputShape = { 3, 5, 5, 2 }; |
| 386 | outputShape = { 3, 2, 4, 2 }; |
| 387 | break; |
| 388 | case DataLayout::NCHW: |
| 389 | default: |
| 390 | inputShape = { 3, 2, 5, 5 }; |
| 391 | outputShape = { 3, 2, 2, 4 }; |
| 392 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 393 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 394 | // Checks that outputs and inputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 395 | CheckInputOutput(std::move(workload), |
| 396 | TensorInfo(inputShape, DataType), |
| 397 | TensorInfo(outputShape, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 398 | } |
| 399 | |
| 400 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32Workload) |
| 401 | { |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 402 | RefCreatePooling2dWorkloadTest<RefPooling2dFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 403 | } |
| 404 | |
| 405 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32NhwcWorkload) |
| 406 | { |
| 407 | RefCreatePooling2dWorkloadTest<RefPooling2dFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 408 | } |
| 409 | |
| 410 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8Workload) |
| 411 | { |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 412 | RefCreatePooling2dWorkloadTest<RefPooling2dUint8Workload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
| 413 | } |
| 414 | |
| 415 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 416 | { |
| 417 | RefCreatePooling2dWorkloadTest<RefPooling2dUint8Workload, armnn::DataType::QuantisedAsymm8>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 418 | } |
| 419 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 420 | template <typename SoftmaxWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 421 | static void RefCreateSoftmaxWorkloadTest() |
| 422 | { |
| 423 | Graph graph; |
| 424 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 425 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 426 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 427 | // Checks that outputs and inputs are as we expect them (see definition of CreateSoftmaxWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 428 | CheckInputOutput( |
| 429 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 430 | TensorInfo({4, 1}, DataType), |
| 431 | TensorInfo({4, 1}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 432 | } |
| 433 | |
| 434 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat32Workload) |
| 435 | { |
nikraj01 | a121de3 | 2019-05-29 10:51:05 +0100 | [diff] [blame] | 436 | RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 437 | } |
| 438 | |
nikraj01 | a121de3 | 2019-05-29 10:51:05 +0100 | [diff] [blame] | 439 | BOOST_AUTO_TEST_CASE(CreateSoftmaxQuantisedAsymm8Workload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 440 | { |
nikraj01 | a121de3 | 2019-05-29 10:51:05 +0100 | [diff] [blame] | 441 | RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 442 | } |
| 443 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 444 | template <typename SplitterWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 445 | static void RefCreateSplitterWorkloadTest() |
| 446 | { |
| 447 | Graph graph; |
| 448 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 449 | auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 450 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 451 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 452 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 453 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 454 | BOOST_TEST((inputHandle->GetTensorInfo() == TensorInfo({ 5, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 455 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 456 | auto outputHandle0 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 457 | BOOST_TEST((outputHandle0->GetTensorInfo() == TensorInfo({ 1, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 458 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 459 | auto outputHandle1 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[1]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 460 | BOOST_TEST((outputHandle1->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 461 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 462 | auto outputHandle2 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[2]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 463 | BOOST_TEST((outputHandle2->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 464 | } |
| 465 | |
| 466 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat32Workload) |
| 467 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 468 | RefCreateSplitterWorkloadTest<RefSplitterFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 469 | } |
| 470 | |
| 471 | BOOST_AUTO_TEST_CASE(CreateSplitterUint8Workload) |
| 472 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 473 | RefCreateSplitterWorkloadTest<RefSplitterUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 474 | } |
| 475 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 476 | template <typename SplitterWorkloadType, typename ConcatWorkloadType, armnn::DataType DataType> |
| 477 | static void RefCreateSplitterConcatWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 478 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 479 | // Tests that it is possible to decide which output of the splitter layer |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 480 | // should be lined to which input of the concat layer. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 481 | // We tested that is is possible to specify 0th output |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 482 | // of the splitter to be the 1st input to the concat and the 1st output of the splitter to be 0th input |
| 483 | // of the concat. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 484 | |
| 485 | Graph graph; |
| 486 | RefWorkloadFactory factory; |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 487 | auto workloads = CreateSplitterConcatWorkloadTest<SplitterWorkloadType, ConcatWorkloadType, DataType> |
| 488 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 489 | |
| 490 | auto wlSplitter = std::move(workloads.first); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 491 | auto wlConcat = std::move(workloads.second); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 492 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 493 | //Checks that the index of inputs/outputs matches what we declared on InputDescriptor construction. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 494 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 495 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 496 | armnn::CpuTensorHandle* mIn0 = dynamic_cast<armnn::CpuTensorHandle*>(wlConcat->GetData().m_Inputs[0]); |
| 497 | armnn::CpuTensorHandle* mIn1 = dynamic_cast<armnn::CpuTensorHandle*>(wlConcat->GetData().m_Inputs[1]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 498 | |
| 499 | BOOST_TEST(sOut0); |
| 500 | BOOST_TEST(sOut1); |
| 501 | BOOST_TEST(mIn0); |
| 502 | BOOST_TEST(mIn1); |
| 503 | |
| 504 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 505 | |
| 506 | BOOST_TEST(validDataPointers); |
| 507 | } |
| 508 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 509 | BOOST_AUTO_TEST_CASE(CreateSplitterConcatFloat32) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 510 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 511 | RefCreateSplitterConcatWorkloadTest<RefSplitterFloat32Workload, RefConcatWorkload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 512 | } |
| 513 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 514 | BOOST_AUTO_TEST_CASE(CreateSplitterConcatUint8) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 515 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 516 | RefCreateSplitterConcatWorkloadTest<RefSplitterUint8Workload, RefConcatWorkload, DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 517 | } |
| 518 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 519 | template <typename SplitterWorkloadType, typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 520 | static void RefCreateSingleOutputMultipleInputsTest() |
| 521 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 522 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 523 | // We created a splitter with two outputs. That each of those outputs is used by two different activation layers. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 524 | |
| 525 | Graph graph; |
| 526 | RefWorkloadFactory factory; |
| 527 | std::unique_ptr<SplitterWorkloadType> wlSplitter; |
| 528 | std::unique_ptr<ActivationWorkloadType> wlActiv0_0; |
| 529 | std::unique_ptr<ActivationWorkloadType> wlActiv0_1; |
| 530 | std::unique_ptr<ActivationWorkloadType> wlActiv1_0; |
| 531 | std::unique_ptr<ActivationWorkloadType> wlActiv1_1; |
| 532 | |
| 533 | CreateSplitterMultipleInputsOneOutputWorkloadTest<SplitterWorkloadType, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 534 | ActivationWorkloadType, DataType>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 535 | |
| 536 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 537 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 538 | armnn::CpuTensorHandle* activ0_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 539 | armnn::CpuTensorHandle* activ0_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 540 | armnn::CpuTensorHandle* activ1_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 541 | armnn::CpuTensorHandle* activ1_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 542 | |
| 543 | |
| 544 | BOOST_TEST(sOut0); |
| 545 | BOOST_TEST(sOut1); |
| 546 | BOOST_TEST(activ0_0Im); |
| 547 | BOOST_TEST(activ0_1Im); |
| 548 | BOOST_TEST(activ1_0Im); |
| 549 | BOOST_TEST(activ1_1Im); |
| 550 | |
| 551 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 552 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 553 | |
| 554 | BOOST_TEST(validDataPointers); |
| 555 | } |
| 556 | |
| 557 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsFloat32) |
| 558 | { |
Nattapat Chaimanowong | ae2c5f0 | 2019-04-24 16:19:57 +0100 | [diff] [blame] | 559 | RefCreateSingleOutputMultipleInputsTest<RefSplitterFloat32Workload, RefActivationWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 560 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 561 | } |
| 562 | |
| 563 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsUint8) |
| 564 | { |
Nattapat Chaimanowong | ae2c5f0 | 2019-04-24 16:19:57 +0100 | [diff] [blame] | 565 | RefCreateSingleOutputMultipleInputsTest<RefSplitterUint8Workload, RefActivationWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 566 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 567 | } |
| 568 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 569 | template <typename ResizeBilinearWorkloadType, armnn::DataType DataType> |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 570 | static void RefCreateResizeBilinearTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 571 | { |
| 572 | Graph graph; |
| 573 | RefWorkloadFactory factory; |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 574 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout); |
| 575 | |
| 576 | TensorShape inputShape; |
| 577 | TensorShape outputShape; |
| 578 | |
| 579 | switch (dataLayout) |
| 580 | { |
| 581 | case DataLayout::NHWC: |
| 582 | inputShape = { 2, 4, 4, 3 }; |
| 583 | outputShape = { 2, 2, 2, 3 }; |
| 584 | break; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 585 | case DataLayout::NCHW: |
| 586 | default: |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 587 | inputShape = { 2, 3, 4, 4 }; |
| 588 | outputShape = { 2, 3, 2, 2 }; |
| 589 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 590 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 591 | // Checks that outputs and inputs are as we expect them (see definition of CreateResizeBilinearWorkloadTest). |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 592 | CheckInputOutput(std::move(workload), |
| 593 | TensorInfo(inputShape, DataType), |
| 594 | TensorInfo(outputShape, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 595 | } |
| 596 | |
| 597 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32) |
| 598 | { |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 599 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 600 | } |
| 601 | |
| 602 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearUint8) |
| 603 | { |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 604 | RefCreateResizeBilinearTest<RefResizeBilinearUint8Workload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
| 605 | } |
| 606 | |
| 607 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32Nhwc) |
| 608 | { |
| 609 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 610 | } |
| 611 | |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 612 | template <typename L2NormalizationWorkloadType, armnn::DataType DataType> |
| 613 | static void RefCreateL2NormalizationTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 614 | { |
| 615 | Graph graph; |
| 616 | RefWorkloadFactory factory; |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 617 | auto workload = |
| 618 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
| 619 | |
| 620 | TensorShape inputShape; |
| 621 | TensorShape outputShape; |
| 622 | |
| 623 | switch (dataLayout) |
| 624 | { |
| 625 | case DataLayout::NHWC: |
| 626 | inputShape = { 5, 50, 67, 20 }; |
| 627 | outputShape = { 5, 50, 67, 20 }; |
| 628 | break; |
| 629 | case DataLayout::NCHW: |
| 630 | default: |
| 631 | inputShape = { 5, 20, 50, 67 }; |
| 632 | outputShape = { 5, 20, 50, 67 }; |
| 633 | break; |
| 634 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 635 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 636 | // Checks that outputs and inputs are as we expect them (see definition of CreateL2NormalizationWorkloadTest). |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 637 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
| 638 | } |
| 639 | |
| 640 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32) |
| 641 | { |
| 642 | RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 643 | } |
| 644 | |
| 645 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32Nhwc) |
| 646 | { |
| 647 | RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 648 | } |
| 649 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 650 | template <typename ReshapeWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 651 | static void RefCreateReshapeWorkloadTest() |
| 652 | { |
| 653 | Graph graph; |
| 654 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 655 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 656 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 657 | // Checks that outputs and inputs are as we expect them (see definition of CreateReshapeWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 658 | CheckInputOutput( |
| 659 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 660 | TensorInfo({ 4, 1 }, DataType), |
| 661 | TensorInfo({ 1, 4 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 662 | } |
| 663 | |
Nina Drozd | 8ed4b8c | 2019-05-29 10:41:04 +0100 | [diff] [blame^] | 664 | BOOST_AUTO_TEST_CASE(CreateReshapeWorkloadFloat32) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 665 | { |
Nina Drozd | 2f2778f | 2019-05-27 10:37:05 +0100 | [diff] [blame] | 666 | RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 667 | } |
| 668 | |
Nina Drozd | 8ed4b8c | 2019-05-29 10:41:04 +0100 | [diff] [blame^] | 669 | BOOST_AUTO_TEST_CASE(CreateReshapeWorkloadQuantisedAsymm8) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 670 | { |
Nina Drozd | 2f2778f | 2019-05-27 10:37:05 +0100 | [diff] [blame] | 671 | RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 672 | } |
| 673 | |
Nina Drozd | 8ed4b8c | 2019-05-29 10:41:04 +0100 | [diff] [blame^] | 674 | BOOST_AUTO_TEST_CASE(CreateReshapeWorkloadQuantisedSymm16) |
| 675 | { |
| 676 | RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::QuantisedSymm16>(); |
| 677 | } |
| 678 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 679 | template <typename ConcatWorkloadType, armnn::DataType DataType> |
| 680 | static void RefCreateConcatWorkloadTest(const armnn::TensorShape& outputShape, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 681 | unsigned int concatAxis) |
| 682 | { |
| 683 | Graph graph; |
| 684 | RefWorkloadFactory factory; |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 685 | auto workload = CreateConcatWorkloadTest<ConcatWorkloadType, DataType>(factory, graph, outputShape, concatAxis); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 686 | |
| 687 | CheckInputsOutput(std::move(workload), |
| 688 | TensorInfo({ 2, 3, 2, 5 }, DataType), |
| 689 | TensorInfo({ 2, 3, 2, 5 }, DataType), |
| 690 | TensorInfo(outputShape, DataType)); |
| 691 | } |
| 692 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 693 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 694 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 695 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 4, 3, 2, 5 }, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 696 | } |
| 697 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 698 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Uint8Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 699 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 700 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 4, 3, 2, 5 }, 0); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 701 | } |
| 702 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 703 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Uint16Workload) |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 704 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 705 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedSymm16>({ 4, 3, 2, 5 }, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 706 | } |
| 707 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 708 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 709 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 710 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 6, 2, 5 }, 1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 711 | } |
| 712 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 713 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Uint8Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 714 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 715 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 6, 2, 5 }, 1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 716 | } |
| 717 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 718 | BOOST_AUTO_TEST_CASE(CreateConcatDim2Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 719 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 720 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 3, 4, 5 }, 2); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 721 | } |
| 722 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 723 | BOOST_AUTO_TEST_CASE(CreateConcatDim2Uint8Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 724 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 725 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 4, 5 }, 2); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 726 | } |
| 727 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 728 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 729 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 730 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }, 3); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 731 | } |
| 732 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 733 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Uint8Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 734 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 735 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 2, 10 }, 3); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 736 | } |
| 737 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 738 | template <typename ConstantWorkloadType, armnn::DataType DataType> |
| 739 | static void RefCreateConstantWorkloadTest(const armnn::TensorShape& outputShape) |
| 740 | { |
| 741 | armnn::Graph graph; |
| 742 | RefWorkloadFactory factory; |
| 743 | auto workload = CreateConstantWorkloadTest<ConstantWorkloadType, DataType>(factory, graph, outputShape); |
| 744 | |
| 745 | // Check output is as expected |
| 746 | auto queueDescriptor = workload->GetData(); |
| 747 | auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 748 | BOOST_TEST((outputHandle->GetTensorInfo() == TensorInfo(outputShape, DataType))); |
| 749 | } |
| 750 | |
| 751 | BOOST_AUTO_TEST_CASE(CreateConstantUint8Workload) |
| 752 | { |
| 753 | RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 2, 10 }); |
| 754 | } |
| 755 | |
| 756 | BOOST_AUTO_TEST_CASE(CreateConstantInt16Workload) |
| 757 | { |
| 758 | RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::QuantisedSymm16>({ 2, 3, 2, 10 }); |
| 759 | } |
| 760 | |
| 761 | BOOST_AUTO_TEST_CASE(CreateConstantFloat32Workload) |
| 762 | { |
| 763 | RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }); |
| 764 | } |
| 765 | |
| 766 | BOOST_AUTO_TEST_CASE(CreateConstantSigned32Workload) |
| 767 | { |
| 768 | RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::Signed32>({ 2, 3, 2, 10 }); |
| 769 | } |
| 770 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 771 | BOOST_AUTO_TEST_SUITE_END() |