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 | 3122bd5 | 2019-06-03 16:54:25 +0100 | [diff] [blame] | 184 | auto workload = CreateBatchNormalizationWorkloadTest<BatchNormalizationWorkloadType, DataType>(factory, |
| 185 | graph, |
| 186 | dataLayout); |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 187 | |
| 188 | TensorShape inputShape; |
| 189 | TensorShape outputShape; |
| 190 | |
| 191 | switch (dataLayout) |
| 192 | { |
| 193 | case DataLayout::NHWC: |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 194 | inputShape = { 2, 4, 4, 3 }; |
| 195 | outputShape = { 2, 4, 4, 3 }; |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 196 | break; |
| 197 | case DataLayout::NCHW: |
| 198 | default: |
Nikhil Raj | d134093 | 2018-10-18 14:27:50 +0100 | [diff] [blame] | 199 | inputShape = { 2, 3, 4, 4 }; |
| 200 | outputShape = { 2, 3, 4, 4 }; |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 201 | break; |
| 202 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 203 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 204 | // 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] | 205 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
| 206 | } |
| 207 | |
| 208 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat32Workload) |
| 209 | { |
Matteo Martincigh | 3122bd5 | 2019-06-03 16:54:25 +0100 | [diff] [blame] | 210 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload,armnn::DataType::Float32> |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 211 | (DataLayout::NCHW); |
| 212 | } |
| 213 | |
| 214 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationFloat32WorkloadNhwc) |
| 215 | { |
Matteo Martincigh | 3122bd5 | 2019-06-03 16:54:25 +0100 | [diff] [blame] | 216 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::Float32> |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 217 | (DataLayout::NHWC); |
| 218 | } |
| 219 | |
| 220 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationUint8Workload) |
| 221 | { |
Matteo Martincigh | 3122bd5 | 2019-06-03 16:54:25 +0100 | [diff] [blame] | 222 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::QuantisedAsymm8> |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 223 | (DataLayout::NCHW); |
| 224 | } |
| 225 | |
| 226 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationUint8WorkloadNhwc) |
| 227 | { |
Matteo Martincigh | 3122bd5 | 2019-06-03 16:54:25 +0100 | [diff] [blame] | 228 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::QuantisedAsymm8> |
Matteo Martincigh | 3dc4303 | 2018-10-18 10:55:19 +0100 | [diff] [blame] | 229 | (DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 230 | } |
| 231 | |
Matteo Martincigh | f550713 | 2019-06-04 10:59:47 +0100 | [diff] [blame] | 232 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationInt16Workload) |
| 233 | { |
| 234 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::QuantisedSymm16> |
| 235 | (DataLayout::NCHW); |
| 236 | } |
| 237 | |
| 238 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationInt16WorkloadNhwc) |
| 239 | { |
| 240 | RefCreateBatchNormalizationWorkloadTest<RefBatchNormalizationWorkload, armnn::DataType::QuantisedSymm16> |
| 241 | (DataLayout::NHWC); |
| 242 | } |
| 243 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 244 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Float32Workload) |
| 245 | { |
| 246 | Graph graph; |
| 247 | RefWorkloadFactory factory; |
| 248 | auto workload = CreateConvertFp16ToFp32WorkloadTest<RefConvertFp16ToFp32Workload>(factory, graph); |
| 249 | |
| 250 | // Checks that outputs and inputs are as we expect them |
| 251 | CheckInputOutput( |
| 252 | std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float16), TensorInfo({1, 3, 2, 3}, DataType::Float32)); |
| 253 | } |
| 254 | |
| 255 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Float16Workload) |
| 256 | { |
| 257 | Graph graph; |
| 258 | RefWorkloadFactory factory; |
| 259 | auto workload = CreateConvertFp32ToFp16WorkloadTest<RefConvertFp32ToFp16Workload>(factory, graph); |
| 260 | |
| 261 | // Checks that outputs and inputs are as we expect them |
| 262 | CheckInputOutput( |
| 263 | std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float32), TensorInfo({1, 3, 2, 3}, DataType::Float16)); |
| 264 | } |
| 265 | |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 266 | static void RefCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 267 | { |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 268 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 269 | RefWorkloadFactory factory; |
Mike Kelly | 9b39832 | 2019-05-22 17:21:49 +0100 | [diff] [blame] | 270 | auto workload = CreateConvolution2dWorkloadTest<RefConvolution2dWorkload, DataType::Float32> |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 271 | (factory, graph, dataLayout); |
| 272 | |
| 273 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 274 | std::initializer_list<unsigned int>({2, 3, 8, 16}) : std::initializer_list<unsigned int>({2, 8, 16, 3}); |
| 275 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 276 | 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] | 277 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 278 | // 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] | 279 | CheckInputOutput(std::move(workload), |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame] | 280 | TensorInfo(inputShape, DataType::Float32), |
| 281 | TensorInfo(outputShape, DataType::Float32)); |
| 282 | } |
| 283 | |
| 284 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
| 285 | { |
| 286 | RefCreateConvolution2dWorkloadTest(DataLayout::NCHW); |
| 287 | } |
| 288 | |
| 289 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 290 | { |
| 291 | RefCreateConvolution2dWorkloadTest(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 292 | } |
| 293 | |
Ruomei Yan | 495852f | 2019-05-23 11:37:33 +0100 | [diff] [blame] | 294 | static void RefCreateDepthwiseConvolutionWorkloadTest(DataLayout dataLayout) |
| 295 | { |
| 296 | Graph graph; |
| 297 | RefWorkloadFactory factory; |
| 298 | auto workload = CreateDepthwiseConvolution2dWorkloadTest<RefDepthwiseConvolution2dWorkload, DataType::Float32> |
| 299 | (factory, graph, dataLayout); |
| 300 | |
| 301 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) |
| 302 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 303 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 304 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) |
| 305 | ? std::initializer_list<unsigned int>({ 2, 2, 5, 5 }) |
| 306 | : std::initializer_list<unsigned int>({ 2, 5, 5, 2 }); |
| 307 | // Checks that inputs/outputs are as we expect them (see definition of CreateDepthwiseConvolution2dWorkloadTest). |
| 308 | CheckInputOutput(std::move(workload), |
| 309 | TensorInfo(inputShape, DataType::Float32), |
| 310 | TensorInfo(outputShape, DataType::Float32)); |
| 311 | } |
| 312 | |
| 313 | BOOST_AUTO_TEST_CASE(CreateDepthwiseConvolutionFloat32NhwcWorkload) |
| 314 | { |
| 315 | RefCreateDepthwiseConvolutionWorkloadTest(DataLayout::NHWC); |
| 316 | } |
| 317 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 318 | template <typename FullyConnectedWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 319 | static void RefCreateFullyConnectedWorkloadTest() |
| 320 | { |
| 321 | Graph graph; |
| 322 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 323 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 324 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 325 | // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). |
| 326 | float inputsQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 1.0f : 0.0; |
| 327 | float outputQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 2.0f : 0.0; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 328 | CheckInputOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 329 | TensorInfo({ 3, 1, 4, 5 }, DataType, inputsQScale), |
| 330 | TensorInfo({ 3, 7 }, DataType, outputQScale)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 331 | } |
| 332 | |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 333 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedWorkloadFloat32) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 334 | { |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 335 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 336 | } |
| 337 | |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 338 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedWorkloadQuantisedAsymm8) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 339 | { |
Francis Murtagh | 43aec58 | 2019-05-27 12:14:10 +0100 | [diff] [blame] | 340 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 341 | } |
| 342 | |
Francis Murtagh | 46c09d0 | 2019-05-28 08:15:28 +0100 | [diff] [blame] | 343 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedWorkloadQuantisedAsymm16) |
| 344 | { |
| 345 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedWorkload, armnn::DataType::QuantisedSymm16>(); |
| 346 | } |
| 347 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 348 | template <typename NormalizationWorkloadType, armnn::DataType DataType> |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 349 | static void RefCreateNormalizationWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 350 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 351 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 352 | RefWorkloadFactory factory; |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 353 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
| 354 | |
| 355 | TensorShape inputShape; |
| 356 | TensorShape outputShape; |
| 357 | |
| 358 | switch (dataLayout) |
| 359 | { |
| 360 | case DataLayout::NHWC: |
| 361 | inputShape = { 3, 1, 5, 5 }; |
| 362 | outputShape = { 3, 1, 5, 5 }; |
| 363 | break; |
| 364 | case DataLayout::NCHW: |
| 365 | default: |
| 366 | inputShape = { 3, 5, 5, 1 }; |
| 367 | outputShape = { 3, 5, 5, 1 }; |
| 368 | break; |
| 369 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 370 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 371 | // 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] | 372 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 373 | } |
| 374 | |
Matteo Martincigh | 2fc70c5 | 2019-06-05 14:12:48 +0100 | [diff] [blame^] | 375 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationFloat32NchwWorkload) |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 376 | { |
Matteo Martincigh | 2fc70c5 | 2019-06-05 14:12:48 +0100 | [diff] [blame^] | 377 | RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 378 | } |
| 379 | |
Matteo Martincigh | 2fc70c5 | 2019-06-05 14:12:48 +0100 | [diff] [blame^] | 380 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationFloat32NhwcWorkload) |
Matteo Martincigh | a160b24 | 2018-10-18 10:33:23 +0100 | [diff] [blame] | 381 | { |
Matteo Martincigh | 2fc70c5 | 2019-06-05 14:12:48 +0100 | [diff] [blame^] | 382 | RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
| 383 | } |
| 384 | |
| 385 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationUint8NchwWorkload) |
| 386 | { |
| 387 | RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
| 388 | } |
| 389 | |
| 390 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationUint8NhwcWorkload) |
| 391 | { |
| 392 | RefCreateNormalizationWorkloadTest<RefNormalizationWorkload, armnn::DataType::QuantisedAsymm8>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 393 | } |
| 394 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 395 | template <typename Pooling2dWorkloadType, armnn::DataType DataType> |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 396 | static void RefCreatePooling2dWorkloadTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 397 | { |
| 398 | Graph graph; |
| 399 | RefWorkloadFactory factory; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 400 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph, dataLayout); |
| 401 | |
| 402 | TensorShape inputShape; |
| 403 | TensorShape outputShape; |
| 404 | |
| 405 | switch (dataLayout) |
| 406 | { |
| 407 | case DataLayout::NHWC: |
| 408 | inputShape = { 3, 5, 5, 2 }; |
| 409 | outputShape = { 3, 2, 4, 2 }; |
| 410 | break; |
| 411 | case DataLayout::NCHW: |
| 412 | default: |
| 413 | inputShape = { 3, 2, 5, 5 }; |
| 414 | outputShape = { 3, 2, 2, 4 }; |
| 415 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 416 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 417 | // 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] | 418 | CheckInputOutput(std::move(workload), |
| 419 | TensorInfo(inputShape, DataType), |
| 420 | TensorInfo(outputShape, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 421 | } |
| 422 | |
| 423 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32Workload) |
| 424 | { |
Teresa Charlin | a3b2047 | 2019-06-06 11:12:32 +0100 | [diff] [blame] | 425 | RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::Float32>(DataLayout::NCHW); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 426 | } |
| 427 | |
| 428 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32NhwcWorkload) |
| 429 | { |
Teresa Charlin | a3b2047 | 2019-06-06 11:12:32 +0100 | [diff] [blame] | 430 | RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 431 | } |
| 432 | |
| 433 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8Workload) |
| 434 | { |
Teresa Charlin | a3b2047 | 2019-06-06 11:12:32 +0100 | [diff] [blame] | 435 | RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 436 | } |
| 437 | |
| 438 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8NhwcWorkload) |
| 439 | { |
Teresa Charlin | a3b2047 | 2019-06-06 11:12:32 +0100 | [diff] [blame] | 440 | RefCreatePooling2dWorkloadTest<RefPooling2dWorkload, armnn::DataType::QuantisedAsymm8>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 441 | } |
| 442 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 443 | template <typename SoftmaxWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 444 | static void RefCreateSoftmaxWorkloadTest() |
| 445 | { |
| 446 | Graph graph; |
| 447 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 448 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 449 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 450 | // 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] | 451 | CheckInputOutput( |
| 452 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 453 | TensorInfo({4, 1}, DataType), |
| 454 | TensorInfo({4, 1}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 455 | } |
| 456 | |
| 457 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat32Workload) |
| 458 | { |
nikraj01 | a121de3 | 2019-05-29 10:51:05 +0100 | [diff] [blame] | 459 | RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 460 | } |
| 461 | |
nikraj01 | a121de3 | 2019-05-29 10:51:05 +0100 | [diff] [blame] | 462 | BOOST_AUTO_TEST_CASE(CreateSoftmaxQuantisedAsymm8Workload) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 463 | { |
nikraj01 | a121de3 | 2019-05-29 10:51:05 +0100 | [diff] [blame] | 464 | RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 465 | } |
| 466 | |
nikraj01 | 248683f | 2019-05-29 16:46:50 +0100 | [diff] [blame] | 467 | BOOST_AUTO_TEST_CASE(CreateSoftmaxQuantisedSymm16Workload) |
| 468 | { |
| 469 | RefCreateSoftmaxWorkloadTest<RefSoftmaxWorkload, armnn::DataType::QuantisedSymm16>(); |
| 470 | } |
| 471 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 472 | template <typename SplitterWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 473 | static void RefCreateSplitterWorkloadTest() |
| 474 | { |
| 475 | Graph graph; |
| 476 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 477 | auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 478 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 479 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 480 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 481 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 482 | BOOST_TEST((inputHandle->GetTensorInfo() == TensorInfo({ 5, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 483 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 484 | auto outputHandle0 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 485 | BOOST_TEST((outputHandle0->GetTensorInfo() == TensorInfo({ 1, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 486 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 487 | auto outputHandle1 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[1]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 488 | BOOST_TEST((outputHandle1->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 489 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 490 | auto outputHandle2 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[2]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 491 | BOOST_TEST((outputHandle2->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 492 | } |
| 493 | |
| 494 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat32Workload) |
| 495 | { |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 496 | RefCreateSplitterWorkloadTest<RefSplitterWorkload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 497 | } |
| 498 | |
| 499 | BOOST_AUTO_TEST_CASE(CreateSplitterUint8Workload) |
| 500 | { |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 501 | RefCreateSplitterWorkloadTest<RefSplitterWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 502 | } |
| 503 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 504 | template <typename SplitterWorkloadType, typename ConcatWorkloadType, armnn::DataType DataType> |
| 505 | static void RefCreateSplitterConcatWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 506 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 507 | // 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] | 508 | // should be lined to which input of the concat layer. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 509 | // We tested that is is possible to specify 0th output |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 510 | // of the splitter to be the 1st input to the concat and the 1st output of the splitter to be 0th input |
| 511 | // of the concat. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 512 | |
| 513 | Graph graph; |
| 514 | RefWorkloadFactory factory; |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 515 | auto workloads = CreateSplitterConcatWorkloadTest<SplitterWorkloadType, ConcatWorkloadType, DataType> |
| 516 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 517 | |
| 518 | auto wlSplitter = std::move(workloads.first); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 519 | auto wlConcat = std::move(workloads.second); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 520 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 521 | //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] | 522 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 523 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 524 | armnn::CpuTensorHandle* mIn0 = dynamic_cast<armnn::CpuTensorHandle*>(wlConcat->GetData().m_Inputs[0]); |
| 525 | armnn::CpuTensorHandle* mIn1 = dynamic_cast<armnn::CpuTensorHandle*>(wlConcat->GetData().m_Inputs[1]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 526 | |
| 527 | BOOST_TEST(sOut0); |
| 528 | BOOST_TEST(sOut1); |
| 529 | BOOST_TEST(mIn0); |
| 530 | BOOST_TEST(mIn1); |
| 531 | |
| 532 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 533 | |
| 534 | BOOST_TEST(validDataPointers); |
| 535 | } |
| 536 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 537 | BOOST_AUTO_TEST_CASE(CreateSplitterConcatFloat32) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 538 | { |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 539 | RefCreateSplitterConcatWorkloadTest<RefSplitterWorkload, RefConcatWorkload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 540 | } |
| 541 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 542 | BOOST_AUTO_TEST_CASE(CreateSplitterConcatUint8) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 543 | { |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 544 | RefCreateSplitterConcatWorkloadTest<RefSplitterWorkload, RefConcatWorkload, DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 545 | } |
| 546 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 547 | template <typename SplitterWorkloadType, typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 548 | static void RefCreateSingleOutputMultipleInputsTest() |
| 549 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 550 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 551 | // 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] | 552 | |
| 553 | Graph graph; |
| 554 | RefWorkloadFactory factory; |
| 555 | std::unique_ptr<SplitterWorkloadType> wlSplitter; |
| 556 | std::unique_ptr<ActivationWorkloadType> wlActiv0_0; |
| 557 | std::unique_ptr<ActivationWorkloadType> wlActiv0_1; |
| 558 | std::unique_ptr<ActivationWorkloadType> wlActiv1_0; |
| 559 | std::unique_ptr<ActivationWorkloadType> wlActiv1_1; |
| 560 | |
| 561 | CreateSplitterMultipleInputsOneOutputWorkloadTest<SplitterWorkloadType, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 562 | ActivationWorkloadType, DataType>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 563 | |
| 564 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 565 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 566 | armnn::CpuTensorHandle* activ0_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 567 | armnn::CpuTensorHandle* activ0_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 568 | armnn::CpuTensorHandle* activ1_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 569 | armnn::CpuTensorHandle* activ1_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 570 | |
| 571 | |
| 572 | BOOST_TEST(sOut0); |
| 573 | BOOST_TEST(sOut1); |
| 574 | BOOST_TEST(activ0_0Im); |
| 575 | BOOST_TEST(activ0_1Im); |
| 576 | BOOST_TEST(activ1_0Im); |
| 577 | BOOST_TEST(activ1_1Im); |
| 578 | |
| 579 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 580 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 581 | |
| 582 | BOOST_TEST(validDataPointers); |
| 583 | } |
| 584 | |
| 585 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsFloat32) |
| 586 | { |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 587 | RefCreateSingleOutputMultipleInputsTest<RefSplitterWorkload, RefActivationWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 588 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 589 | } |
| 590 | |
| 591 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsUint8) |
| 592 | { |
Ruomei Yan | 25339c3 | 2019-05-28 16:48:20 +0100 | [diff] [blame] | 593 | RefCreateSingleOutputMultipleInputsTest<RefSplitterWorkload, RefActivationWorkload, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 594 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 595 | } |
| 596 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 597 | template <typename ResizeBilinearWorkloadType, armnn::DataType DataType> |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 598 | static void RefCreateResizeBilinearTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 599 | { |
| 600 | Graph graph; |
| 601 | RefWorkloadFactory factory; |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 602 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout); |
| 603 | |
| 604 | TensorShape inputShape; |
| 605 | TensorShape outputShape; |
| 606 | |
| 607 | switch (dataLayout) |
| 608 | { |
| 609 | case DataLayout::NHWC: |
| 610 | inputShape = { 2, 4, 4, 3 }; |
| 611 | outputShape = { 2, 2, 2, 3 }; |
| 612 | break; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 613 | case DataLayout::NCHW: |
| 614 | default: |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 615 | inputShape = { 2, 3, 4, 4 }; |
| 616 | outputShape = { 2, 3, 2, 2 }; |
| 617 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 618 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 619 | // 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] | 620 | CheckInputOutput(std::move(workload), |
| 621 | TensorInfo(inputShape, DataType), |
| 622 | TensorInfo(outputShape, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 623 | } |
| 624 | |
| 625 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32) |
| 626 | { |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 627 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 628 | } |
| 629 | |
| 630 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearUint8) |
| 631 | { |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 632 | RefCreateResizeBilinearTest<RefResizeBilinearUint8Workload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
| 633 | } |
| 634 | |
| 635 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32Nhwc) |
| 636 | { |
| 637 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 638 | } |
| 639 | |
nikraj01 | 33732f6 | 2019-06-04 15:35:34 +0100 | [diff] [blame] | 640 | template <typename RsqrtWorkloadType, armnn::DataType DataType> |
| 641 | static void RefCreateRsqrtTest() |
| 642 | { |
| 643 | Graph graph; |
| 644 | RefWorkloadFactory factory; |
| 645 | |
| 646 | auto workload = CreateRsqrtWorkloadTest<RsqrtWorkloadType, DataType>(factory, graph); |
| 647 | |
| 648 | // Checks that outputs are as we expect them (see definition of CreateRsqrtWorkloadTest). |
| 649 | CheckInputOutput(std::move(workload), |
| 650 | TensorInfo({ 1, 1 }, DataType), |
| 651 | TensorInfo({ 1, 1 }, DataType)); |
| 652 | |
| 653 | } |
| 654 | |
| 655 | BOOST_AUTO_TEST_CASE(CreateRsqrtFloat32) |
| 656 | { |
| 657 | RefCreateRsqrtTest<RefRsqrtFloat32Workload, armnn::DataType::Float32>(); |
| 658 | } |
| 659 | |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 660 | template <typename L2NormalizationWorkloadType, armnn::DataType DataType> |
| 661 | static void RefCreateL2NormalizationTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 662 | { |
| 663 | Graph graph; |
| 664 | RefWorkloadFactory factory; |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 665 | auto workload = |
| 666 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
| 667 | |
| 668 | TensorShape inputShape; |
| 669 | TensorShape outputShape; |
| 670 | |
| 671 | switch (dataLayout) |
| 672 | { |
| 673 | case DataLayout::NHWC: |
| 674 | inputShape = { 5, 50, 67, 20 }; |
| 675 | outputShape = { 5, 50, 67, 20 }; |
| 676 | break; |
| 677 | case DataLayout::NCHW: |
| 678 | default: |
| 679 | inputShape = { 5, 20, 50, 67 }; |
| 680 | outputShape = { 5, 20, 50, 67 }; |
| 681 | break; |
| 682 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 683 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 684 | // 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] | 685 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
| 686 | } |
| 687 | |
| 688 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32) |
| 689 | { |
| 690 | RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 691 | } |
| 692 | |
| 693 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32Nhwc) |
| 694 | { |
| 695 | RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 696 | } |
| 697 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 698 | template <typename ReshapeWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 699 | static void RefCreateReshapeWorkloadTest() |
| 700 | { |
| 701 | Graph graph; |
| 702 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 703 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 704 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 705 | // 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] | 706 | CheckInputOutput( |
| 707 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 708 | TensorInfo({ 4, 1 }, DataType), |
| 709 | TensorInfo({ 1, 4 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 710 | } |
| 711 | |
Nina Drozd | 8ed4b8c | 2019-05-29 10:41:04 +0100 | [diff] [blame] | 712 | BOOST_AUTO_TEST_CASE(CreateReshapeWorkloadFloat32) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 713 | { |
Nina Drozd | 2f2778f | 2019-05-27 10:37:05 +0100 | [diff] [blame] | 714 | RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 715 | } |
| 716 | |
Nina Drozd | 8ed4b8c | 2019-05-29 10:41:04 +0100 | [diff] [blame] | 717 | BOOST_AUTO_TEST_CASE(CreateReshapeWorkloadQuantisedAsymm8) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 718 | { |
Nina Drozd | 2f2778f | 2019-05-27 10:37:05 +0100 | [diff] [blame] | 719 | RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 720 | } |
| 721 | |
Nina Drozd | 8ed4b8c | 2019-05-29 10:41:04 +0100 | [diff] [blame] | 722 | BOOST_AUTO_TEST_CASE(CreateReshapeWorkloadQuantisedSymm16) |
| 723 | { |
| 724 | RefCreateReshapeWorkloadTest<RefReshapeWorkload, armnn::DataType::QuantisedSymm16>(); |
| 725 | } |
| 726 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 727 | template <typename ConcatWorkloadType, armnn::DataType DataType> |
| 728 | static void RefCreateConcatWorkloadTest(const armnn::TensorShape& outputShape, |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 729 | unsigned int concatAxis) |
| 730 | { |
| 731 | Graph graph; |
| 732 | RefWorkloadFactory factory; |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 733 | auto workload = CreateConcatWorkloadTest<ConcatWorkloadType, DataType>(factory, graph, outputShape, concatAxis); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 734 | |
| 735 | CheckInputsOutput(std::move(workload), |
| 736 | TensorInfo({ 2, 3, 2, 5 }, DataType), |
| 737 | TensorInfo({ 2, 3, 2, 5 }, DataType), |
| 738 | TensorInfo(outputShape, DataType)); |
| 739 | } |
| 740 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 741 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 742 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 743 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 4, 3, 2, 5 }, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 744 | } |
| 745 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 746 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Uint8Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 747 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 748 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 4, 3, 2, 5 }, 0); |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 749 | } |
| 750 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 751 | BOOST_AUTO_TEST_CASE(CreateConcatDim0Uint16Workload) |
Jim Flynn | cbb66aa | 2019-05-15 13:03:54 +0100 | [diff] [blame] | 752 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 753 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedSymm16>({ 4, 3, 2, 5 }, 0); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 754 | } |
| 755 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 756 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 757 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 758 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 6, 2, 5 }, 1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 759 | } |
| 760 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 761 | BOOST_AUTO_TEST_CASE(CreateConcatDim1Uint8Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 762 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 763 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 6, 2, 5 }, 1); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 764 | } |
| 765 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 766 | BOOST_AUTO_TEST_CASE(CreateConcatDim2Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 767 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 768 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 3, 4, 5 }, 2); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 769 | } |
| 770 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 771 | BOOST_AUTO_TEST_CASE(CreateConcatDim2Uint8Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 772 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 773 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 4, 5 }, 2); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 774 | } |
| 775 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 776 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Float32Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 777 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 778 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }, 3); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 779 | } |
| 780 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 781 | BOOST_AUTO_TEST_CASE(CreateConcatDim3Uint8Workload) |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 782 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 783 | RefCreateConcatWorkloadTest<RefConcatWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 2, 10 }, 3); |
narpra01 | 5cdda35 | 2018-11-19 15:30:27 +0000 | [diff] [blame] | 784 | } |
| 785 | |
Nina Drozd | 58ef2c6 | 2019-05-16 12:09:18 +0100 | [diff] [blame] | 786 | template <typename ConstantWorkloadType, armnn::DataType DataType> |
| 787 | static void RefCreateConstantWorkloadTest(const armnn::TensorShape& outputShape) |
| 788 | { |
| 789 | armnn::Graph graph; |
| 790 | RefWorkloadFactory factory; |
| 791 | auto workload = CreateConstantWorkloadTest<ConstantWorkloadType, DataType>(factory, graph, outputShape); |
| 792 | |
| 793 | // Check output is as expected |
| 794 | auto queueDescriptor = workload->GetData(); |
| 795 | auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 796 | BOOST_TEST((outputHandle->GetTensorInfo() == TensorInfo(outputShape, DataType))); |
| 797 | } |
| 798 | |
| 799 | BOOST_AUTO_TEST_CASE(CreateConstantUint8Workload) |
| 800 | { |
| 801 | RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::QuantisedAsymm8>({ 2, 3, 2, 10 }); |
| 802 | } |
| 803 | |
| 804 | BOOST_AUTO_TEST_CASE(CreateConstantInt16Workload) |
| 805 | { |
| 806 | RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::QuantisedSymm16>({ 2, 3, 2, 10 }); |
| 807 | } |
| 808 | |
| 809 | BOOST_AUTO_TEST_CASE(CreateConstantFloat32Workload) |
| 810 | { |
| 811 | RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::Float32>({ 2, 3, 2, 10 }); |
| 812 | } |
| 813 | |
| 814 | BOOST_AUTO_TEST_CASE(CreateConstantSigned32Workload) |
| 815 | { |
| 816 | RefCreateConstantWorkloadTest<RefConstantWorkload, armnn::DataType::Signed32>({ 2, 3, 2, 10 }); |
| 817 | } |
| 818 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 819 | BOOST_AUTO_TEST_SUITE_END() |