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 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 58 | RefCreateActivationWorkloadTest<RefActivationFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 59 | } |
| 60 | |
| 61 | BOOST_AUTO_TEST_CASE(CreateActivationUint8Workload) |
| 62 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 63 | RefCreateActivationWorkloadTest<RefActivationUint8Workload, 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; |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 257 | auto workload = CreateConvolution2dWorkloadTest<RefConvolution2dFloat32Workload, DataType::Float32> |
| 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 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 281 | template <typename FullyConnectedWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 282 | static void RefCreateFullyConnectedWorkloadTest() |
| 283 | { |
| 284 | Graph graph; |
| 285 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 286 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 287 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 288 | // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). |
| 289 | float inputsQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 1.0f : 0.0; |
| 290 | float outputQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 2.0f : 0.0; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 291 | CheckInputOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 292 | TensorInfo({ 3, 1, 4, 5 }, DataType, inputsQScale), |
| 293 | TensorInfo({ 3, 7 }, DataType, outputQScale)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 294 | } |
| 295 | |
| 296 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat32Workload) |
| 297 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 298 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 299 | } |
| 300 | |
| 301 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedUint8Workload) |
| 302 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 303 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 304 | } |
| 305 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 306 | template <typename NormalizationWorkloadType, armnn::DataType DataType> |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 307 | static void RefCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 308 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 309 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 310 | RefWorkloadFactory factory; |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 311 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
| 312 | |
| 313 | TensorShape inputShape; |
| 314 | TensorShape outputShape; |
| 315 | |
| 316 | switch (dataLayout) |
| 317 | { |
| 318 | case DataLayout::NHWC: |
| 319 | inputShape = { 3, 1, 5, 5 }; |
| 320 | outputShape = { 3, 1, 5, 5 }; |
| 321 | break; |
| 322 | case DataLayout::NCHW: |
| 323 | default: |
| 324 | inputShape = { 3, 5, 5, 1 }; |
| 325 | outputShape = { 3, 5, 5, 1 }; |
| 326 | break; |
| 327 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 328 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 329 | // 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] | 330 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 331 | } |
| 332 | |
| 333 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationNchwWorkload) |
| 334 | { |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 335 | RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 336 | } |
| 337 | |
| 338 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationNhwcWorkload) |
| 339 | { |
| 340 | RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 341 | } |
| 342 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 343 | template <typename Pooling2dWorkloadType, armnn::DataType DataType> |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 344 | static void RefCreatePooling2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 345 | { |
| 346 | Graph graph; |
| 347 | RefWorkloadFactory factory; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 348 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph, dataLayout); |
| 349 | |
| 350 | TensorShape inputShape; |
| 351 | TensorShape outputShape; |
| 352 | |
| 353 | switch (dataLayout) |
| 354 | { |
| 355 | case DataLayout::NHWC: |
| 356 | inputShape = { 3, 5, 5, 2 }; |
| 357 | outputShape = { 3, 2, 4, 2 }; |
| 358 | break; |
| 359 | case DataLayout::NCHW: |
| 360 | default: |
| 361 | inputShape = { 3, 2, 5, 5 }; |
| 362 | outputShape = { 3, 2, 2, 4 }; |
| 363 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 364 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 365 | // 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] | 366 | CheckInputOutput(std::move(workload), |
| 367 | TensorInfo(inputShape, DataType), |
| 368 | TensorInfo(outputShape, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 369 | } |
| 370 | |
| 371 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32Workload) |
| 372 | { |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 373 | RefCreatePooling2dWorkloadTest<RefPooling2dFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 374 | } |
| 375 | |
| 376 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32NhwcWorkload) |
| 377 | { |
| 378 | RefCreatePooling2dWorkloadTest<RefPooling2dFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 379 | } |
| 380 | |
| 381 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8Workload) |
| 382 | { |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 383 | RefCreatePooling2dWorkloadTest<RefPooling2dUint8Workload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
| 384 | } |
| 385 | |
| 386 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 387 | { |
| 388 | RefCreatePooling2dWorkloadTest<RefPooling2dUint8Workload, armnn::DataType::QuantisedAsymm8>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 389 | } |
| 390 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 391 | template <typename SoftmaxWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 392 | static void RefCreateSoftmaxWorkloadTest() |
| 393 | { |
| 394 | Graph graph; |
| 395 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 396 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 397 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 398 | // 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] | 399 | CheckInputOutput( |
| 400 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 401 | TensorInfo({4, 1}, DataType), |
| 402 | TensorInfo({4, 1}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 403 | } |
| 404 | |
| 405 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat32Workload) |
| 406 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 407 | RefCreateSoftmaxWorkloadTest<RefSoftmaxFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 408 | } |
| 409 | |
| 410 | BOOST_AUTO_TEST_CASE(CreateSoftmaxUint8Workload) |
| 411 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 412 | RefCreateSoftmaxWorkloadTest<RefSoftmaxUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 413 | } |
| 414 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 415 | template <typename SplitterWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 416 | static void RefCreateSplitterWorkloadTest() |
| 417 | { |
| 418 | Graph graph; |
| 419 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 420 | auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 421 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 422 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 423 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 424 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 425 | BOOST_TEST((inputHandle->GetTensorInfo() == TensorInfo({ 5, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 426 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 427 | auto outputHandle0 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 428 | BOOST_TEST((outputHandle0->GetTensorInfo() == TensorInfo({ 1, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 429 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 430 | auto outputHandle1 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[1]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 431 | BOOST_TEST((outputHandle1->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 432 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 433 | auto outputHandle2 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[2]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 434 | BOOST_TEST((outputHandle2->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 435 | } |
| 436 | |
| 437 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat32Workload) |
| 438 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 439 | RefCreateSplitterWorkloadTest<RefSplitterFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 440 | } |
| 441 | |
| 442 | BOOST_AUTO_TEST_CASE(CreateSplitterUint8Workload) |
| 443 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 444 | RefCreateSplitterWorkloadTest<RefSplitterUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 445 | } |
| 446 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 447 | template <typename SplitterWorkloadType, typename MergerWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 448 | static void RefCreateSplitterMergerWorkloadTest() |
| 449 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 450 | // Tests that it is possible to decide which output of the splitter layer |
| 451 | // should be lined to which input of the merger layer. |
| 452 | // We tested that is is possible to specify 0th output |
| 453 | // of the splitter to be the 1st input to the merger and the 1st output of the splitter to be 0th input |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 454 | // of the merger. |
| 455 | |
| 456 | Graph graph; |
| 457 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 458 | auto workloads = CreateSplitterMergerWorkloadTest<SplitterWorkloadType, MergerWorkloadType, DataType> |
| 459 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 460 | |
| 461 | auto wlSplitter = std::move(workloads.first); |
| 462 | auto wlMerger = std::move(workloads.second); |
| 463 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 464 | //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] | 465 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 466 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 467 | armnn::CpuTensorHandle* mIn0 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 468 | armnn::CpuTensorHandle* mIn1 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 469 | |
| 470 | BOOST_TEST(sOut0); |
| 471 | BOOST_TEST(sOut1); |
| 472 | BOOST_TEST(mIn0); |
| 473 | BOOST_TEST(mIn1); |
| 474 | |
| 475 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 476 | |
| 477 | BOOST_TEST(validDataPointers); |
| 478 | } |
| 479 | |
| 480 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat32) |
| 481 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 482 | RefCreateSplitterMergerWorkloadTest<RefSplitterFloat32Workload, RefMergerFloat32Workload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 483 | } |
| 484 | |
| 485 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerUint8) |
| 486 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 487 | RefCreateSplitterMergerWorkloadTest<RefSplitterUint8Workload, RefMergerUint8Workload, DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 488 | } |
| 489 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 490 | template <typename SplitterWorkloadType, typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 491 | static void RefCreateSingleOutputMultipleInputsTest() |
| 492 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 493 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 494 | // 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] | 495 | |
| 496 | Graph graph; |
| 497 | RefWorkloadFactory factory; |
| 498 | std::unique_ptr<SplitterWorkloadType> wlSplitter; |
| 499 | std::unique_ptr<ActivationWorkloadType> wlActiv0_0; |
| 500 | std::unique_ptr<ActivationWorkloadType> wlActiv0_1; |
| 501 | std::unique_ptr<ActivationWorkloadType> wlActiv1_0; |
| 502 | std::unique_ptr<ActivationWorkloadType> wlActiv1_1; |
| 503 | |
| 504 | CreateSplitterMultipleInputsOneOutputWorkloadTest<SplitterWorkloadType, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 505 | ActivationWorkloadType, DataType>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 506 | |
| 507 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 508 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 509 | armnn::CpuTensorHandle* activ0_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 510 | armnn::CpuTensorHandle* activ0_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 511 | armnn::CpuTensorHandle* activ1_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 512 | armnn::CpuTensorHandle* activ1_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 513 | |
| 514 | |
| 515 | BOOST_TEST(sOut0); |
| 516 | BOOST_TEST(sOut1); |
| 517 | BOOST_TEST(activ0_0Im); |
| 518 | BOOST_TEST(activ0_1Im); |
| 519 | BOOST_TEST(activ1_0Im); |
| 520 | BOOST_TEST(activ1_1Im); |
| 521 | |
| 522 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 523 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 524 | |
| 525 | BOOST_TEST(validDataPointers); |
| 526 | } |
| 527 | |
| 528 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsFloat32) |
| 529 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 530 | RefCreateSingleOutputMultipleInputsTest<RefSplitterFloat32Workload, RefActivationFloat32Workload, |
| 531 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 532 | } |
| 533 | |
| 534 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsUint8) |
| 535 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 536 | RefCreateSingleOutputMultipleInputsTest<RefSplitterUint8Workload, RefActivationUint8Workload, |
| 537 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 538 | } |
| 539 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 540 | template <typename ResizeBilinearWorkloadType, armnn::DataType DataType> |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 541 | static void RefCreateResizeBilinearTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 542 | { |
| 543 | Graph graph; |
| 544 | RefWorkloadFactory factory; |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 545 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout); |
| 546 | |
| 547 | TensorShape inputShape; |
| 548 | TensorShape outputShape; |
| 549 | |
| 550 | switch (dataLayout) |
| 551 | { |
| 552 | case DataLayout::NHWC: |
| 553 | inputShape = { 2, 4, 4, 3 }; |
| 554 | outputShape = { 2, 2, 2, 3 }; |
| 555 | break; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 556 | case DataLayout::NCHW: |
| 557 | default: |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 558 | inputShape = { 2, 3, 4, 4 }; |
| 559 | outputShape = { 2, 3, 2, 2 }; |
| 560 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 561 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 562 | // 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] | 563 | CheckInputOutput(std::move(workload), |
| 564 | TensorInfo(inputShape, DataType), |
| 565 | TensorInfo(outputShape, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 566 | } |
| 567 | |
| 568 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32) |
| 569 | { |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 570 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 571 | } |
| 572 | |
| 573 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearUint8) |
| 574 | { |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 575 | RefCreateResizeBilinearTest<RefResizeBilinearUint8Workload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
| 576 | } |
| 577 | |
| 578 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32Nhwc) |
| 579 | { |
| 580 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 581 | } |
| 582 | |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 583 | template <typename L2NormalizationWorkloadType, armnn::DataType DataType> |
| 584 | static void RefCreateL2NormalizationTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 585 | { |
| 586 | Graph graph; |
| 587 | RefWorkloadFactory factory; |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 588 | auto workload = |
| 589 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
| 590 | |
| 591 | TensorShape inputShape; |
| 592 | TensorShape outputShape; |
| 593 | |
| 594 | switch (dataLayout) |
| 595 | { |
| 596 | case DataLayout::NHWC: |
| 597 | inputShape = { 5, 50, 67, 20 }; |
| 598 | outputShape = { 5, 50, 67, 20 }; |
| 599 | break; |
| 600 | case DataLayout::NCHW: |
| 601 | default: |
| 602 | inputShape = { 5, 20, 50, 67 }; |
| 603 | outputShape = { 5, 20, 50, 67 }; |
| 604 | break; |
| 605 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 606 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 607 | // 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] | 608 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
| 609 | } |
| 610 | |
| 611 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32) |
| 612 | { |
| 613 | RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 614 | } |
| 615 | |
| 616 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32Nhwc) |
| 617 | { |
| 618 | RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 619 | } |
| 620 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 621 | template <typename ReshapeWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 622 | static void RefCreateReshapeWorkloadTest() |
| 623 | { |
| 624 | Graph graph; |
| 625 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 626 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 627 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 628 | // 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] | 629 | CheckInputOutput( |
| 630 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 631 | TensorInfo({ 4, 1 }, DataType), |
| 632 | TensorInfo({ 1, 4 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 633 | } |
| 634 | |
| 635 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat32Workload) |
| 636 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 637 | RefCreateReshapeWorkloadTest<RefReshapeFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 638 | } |
| 639 | |
| 640 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 641 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 642 | RefCreateReshapeWorkloadTest<RefReshapeUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 643 | } |
| 644 | |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 645 | template <typename MergerWorkloadType, armnn::DataType DataType> |
| 646 | static void RefCreateMergerWorkloadTest(const armnn::TensorShape& outputShape, |
| 647 | unsigned int concatAxis) |
| 648 | { |
| 649 | Graph graph; |
| 650 | RefWorkloadFactory factory; |
| 651 | auto workload = CreateMergerWorkloadTest<MergerWorkloadType, DataType>(factory, graph, outputShape, concatAxis); |
| 652 | |
| 653 | CheckInputsOutput(std::move(workload), |
| 654 | TensorInfo({ 2, 3, 2, 5 }, DataType), |
| 655 | TensorInfo({ 2, 3, 2, 5 }, DataType), |
| 656 | TensorInfo(outputShape, DataType)); |
| 657 | } |
| 658 | |
| 659 | BOOST_AUTO_TEST_CASE(CreateMergerDim0Float32Workload) |
| 660 | { |
| 661 | RefCreateMergerWorkloadTest<RefMergerFloat32Workload, armnn::DataType::Float32>({ 4, 3, 2, 5 }, 0); |
| 662 | } |
| 663 | |
| 664 | BOOST_AUTO_TEST_CASE(CreateMergerDim0Uint8Workload) |
| 665 | { |
| 666 | RefCreateMergerWorkloadTest<RefMergerUint8Workload, armnn::DataType::QuantisedAsymm8>({ 4, 3, 2, 5 }, 0); |
| 667 | } |
| 668 | |
| 669 | BOOST_AUTO_TEST_CASE(CreateMergerDim1Float32Workload) |
| 670 | { |
| 671 | RefCreateMergerWorkloadTest<RefMergerFloat32Workload, armnn::DataType::Float32>({ 2, 6, 2, 5 }, 1); |
| 672 | } |
| 673 | |
| 674 | BOOST_AUTO_TEST_CASE(CreateMergerDim1Uint8Workload) |
| 675 | { |
| 676 | RefCreateMergerWorkloadTest<RefMergerUint8Workload, armnn::DataType::QuantisedAsymm8>({ 2, 6, 2, 5 }, 1); |
| 677 | } |
| 678 | |
| 679 | BOOST_AUTO_TEST_CASE(CreateMergerDim2Float32Workload) |
| 680 | { |
| 681 | RefCreateMergerWorkloadTest<RefMergerFloat32Workload, armnn::DataType::Float32>({ 2, 3, 4, 5 }, 2); |
| 682 | } |
| 683 | |
| 684 | BOOST_AUTO_TEST_CASE(CreateMergerDim2Uint8Workload) |
| 685 | { |
| 686 | RefCreateMergerWorkloadTest<RefMergerUint8Workload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 4, 5 }, 2); |
| 687 | } |
| 688 | |
| 689 | BOOST_AUTO_TEST_CASE(CreateMergerDim3Float32Workload) |
| 690 | { |
| 691 | RefCreateMergerWorkloadTest<RefMergerFloat32Workload, armnn::DataType::Float32>({ 2, 3, 2, 10 }, 3); |
| 692 | } |
| 693 | |
| 694 | BOOST_AUTO_TEST_CASE(CreateMergerDim3Uint8Workload) |
| 695 | { |
| 696 | RefCreateMergerWorkloadTest<RefMergerUint8Workload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 2, 10 }, 3); |
| 697 | } |
| 698 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 699 | BOOST_AUTO_TEST_SUITE_END() |