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 | // |
David Beck | b4540be | 2018-09-24 13:18:27 +0100 | [diff] [blame] | 5 | #include <backends/reference/RefWorkloadFactory.hpp> |
| 6 | #include <backends/reference/workloads/RefWorkloads.hpp> |
| 7 | #include <backends/CpuTensorHandle.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 8 | |
| 9 | #include "test/CreateWorkload.hpp" |
| 10 | |
| 11 | namespace |
| 12 | { |
| 13 | |
| 14 | template<typename Workload> |
| 15 | void CheckInputOutput(std::unique_ptr<Workload> workload, const TensorInfo& inputInfo, const TensorInfo& outputInfo) |
| 16 | { |
| 17 | auto queueDescriptor = workload->GetData(); |
| 18 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 19 | auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 20 | BOOST_TEST((inputHandle->GetTensorInfo() == inputInfo)); |
| 21 | BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo)); |
| 22 | } |
| 23 | |
| 24 | template <typename Workload> |
| 25 | void CheckInputsOutput(std::unique_ptr<Workload> workload, |
| 26 | const TensorInfo& inputInfo0, |
| 27 | const TensorInfo& inputInfo1, |
| 28 | const TensorInfo& outputInfo) |
| 29 | { |
| 30 | auto queueDescriptor = workload->GetData(); |
| 31 | auto inputHandle0 = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 32 | auto inputHandle1 = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 33 | auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 34 | BOOST_TEST((inputHandle0->GetTensorInfo() == inputInfo0)); |
| 35 | BOOST_TEST((inputHandle1->GetTensorInfo() == inputInfo1)); |
| 36 | BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo)); |
| 37 | } |
| 38 | } |
| 39 | |
| 40 | BOOST_AUTO_TEST_SUITE(CreateWorkloadRef) |
| 41 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 42 | template <typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 43 | static void RefCreateActivationWorkloadTest() |
| 44 | { |
| 45 | Graph graph; |
| 46 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 47 | auto workload = CreateActivationWorkloadTest<ActivationWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 48 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 49 | // Checks that outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 50 | CheckInputOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 51 | TensorInfo({ 1, 1 }, DataType), |
| 52 | TensorInfo({ 1, 1 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 53 | } |
| 54 | |
| 55 | BOOST_AUTO_TEST_CASE(CreateActivationFloat32Workload) |
| 56 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 57 | RefCreateActivationWorkloadTest<RefActivationFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 58 | } |
| 59 | |
| 60 | BOOST_AUTO_TEST_CASE(CreateActivationUint8Workload) |
| 61 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 62 | RefCreateActivationWorkloadTest<RefActivationUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 63 | } |
| 64 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 65 | template <typename WorkloadType, |
| 66 | typename DescriptorType, |
| 67 | typename LayerType, |
| 68 | armnn::DataType DataType> |
| 69 | static void RefCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 70 | { |
| 71 | Graph graph; |
| 72 | RefWorkloadFactory factory; |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 73 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 74 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 75 | CheckInputsOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 76 | TensorInfo({ 2, 3 }, DataType), |
| 77 | TensorInfo({ 2, 3 }, DataType), |
| 78 | TensorInfo({ 2, 3 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 79 | } |
| 80 | |
| 81 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
| 82 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 83 | RefCreateArithmethicWorkloadTest<RefAdditionFloat32Workload, |
| 84 | AdditionQueueDescriptor, |
| 85 | AdditionLayer, |
| 86 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 87 | } |
| 88 | |
| 89 | BOOST_AUTO_TEST_CASE(CreateAdditionUint8Workload) |
| 90 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 91 | RefCreateArithmethicWorkloadTest<RefAdditionUint8Workload, |
| 92 | AdditionQueueDescriptor, |
| 93 | AdditionLayer, |
| 94 | armnn::DataType::QuantisedAsymm8>(); |
| 95 | } |
| 96 | |
| 97 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 98 | { |
| 99 | RefCreateArithmethicWorkloadTest<RefSubtractionFloat32Workload, |
| 100 | SubtractionQueueDescriptor, |
| 101 | SubtractionLayer, |
| 102 | armnn::DataType::Float32>(); |
| 103 | } |
| 104 | |
| 105 | BOOST_AUTO_TEST_CASE(CreateSubtractionUint8Workload) |
| 106 | { |
| 107 | RefCreateArithmethicWorkloadTest<RefSubtractionUint8Workload, |
| 108 | SubtractionQueueDescriptor, |
| 109 | SubtractionLayer, |
| 110 | armnn::DataType::QuantisedAsymm8>(); |
| 111 | } |
| 112 | |
| 113 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 114 | { |
| 115 | RefCreateArithmethicWorkloadTest<RefMultiplicationFloat32Workload, |
| 116 | MultiplicationQueueDescriptor, |
| 117 | MultiplicationLayer, |
| 118 | armnn::DataType::Float32>(); |
| 119 | } |
| 120 | |
| 121 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload) |
| 122 | { |
| 123 | RefCreateArithmethicWorkloadTest<RefMultiplicationUint8Workload, |
| 124 | MultiplicationQueueDescriptor, |
| 125 | MultiplicationLayer, |
| 126 | armnn::DataType::QuantisedAsymm8>(); |
| 127 | } |
| 128 | |
| 129 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkload) |
| 130 | { |
| 131 | RefCreateArithmethicWorkloadTest<RefDivisionFloat32Workload, |
| 132 | DivisionQueueDescriptor, |
| 133 | DivisionLayer, |
| 134 | armnn::DataType::Float32>(); |
| 135 | } |
| 136 | |
| 137 | BOOST_AUTO_TEST_CASE(CreateDivisionUint8Workload) |
| 138 | { |
| 139 | RefCreateArithmethicWorkloadTest<RefDivisionUint8Workload, |
| 140 | DivisionQueueDescriptor, |
| 141 | DivisionLayer, |
| 142 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 143 | } |
| 144 | |
| 145 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationWorkload) |
| 146 | { |
| 147 | Graph graph; |
| 148 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 149 | auto workload = CreateBatchNormalizationWorkloadTest<RefBatchNormalizationFloat32Workload, armnn::DataType::Float32> |
| 150 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 151 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 152 | // Checks that outputs and inputs are as we expect them (see definition of CreateBatchNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 153 | CheckInputOutput( |
| 154 | std::move(workload), TensorInfo({2, 3, 1, 1}, DataType::Float32), TensorInfo({2, 3, 1, 1}, DataType::Float32)); |
| 155 | } |
| 156 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 157 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Float32Workload) |
| 158 | { |
| 159 | Graph graph; |
| 160 | RefWorkloadFactory factory; |
| 161 | auto workload = CreateConvertFp16ToFp32WorkloadTest<RefConvertFp16ToFp32Workload>(factory, graph); |
| 162 | |
| 163 | // Checks that outputs and inputs are as we expect them |
| 164 | CheckInputOutput( |
| 165 | std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float16), TensorInfo({1, 3, 2, 3}, DataType::Float32)); |
| 166 | } |
| 167 | |
| 168 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Float16Workload) |
| 169 | { |
| 170 | Graph graph; |
| 171 | RefWorkloadFactory factory; |
| 172 | auto workload = CreateConvertFp32ToFp16WorkloadTest<RefConvertFp32ToFp16Workload>(factory, graph); |
| 173 | |
| 174 | // Checks that outputs and inputs are as we expect them |
| 175 | CheckInputOutput( |
| 176 | std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float32), TensorInfo({1, 3, 2, 3}, DataType::Float16)); |
| 177 | } |
| 178 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 179 | BOOST_AUTO_TEST_CASE(CreateConvolution2dWorkload) |
| 180 | { |
| 181 | Graph graph; |
| 182 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 183 | auto workload = CreateConvolution2dWorkloadTest<RefConvolution2dFloat32Workload, |
| 184 | DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 185 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 186 | // 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] | 187 | CheckInputOutput(std::move(workload), |
| 188 | TensorInfo({2, 3, 8, 16}, DataType::Float32), |
| 189 | TensorInfo({2, 2, 2, 10}, DataType::Float32)); |
| 190 | } |
| 191 | |
| 192 | BOOST_AUTO_TEST_CASE(CreateDepthwiseConvolution2dWorkload) |
| 193 | { |
| 194 | Graph graph; |
| 195 | RefWorkloadFactory factory; |
| 196 | auto workload = |
| 197 | CreateDepthwiseConvolution2dWorkloadTest<RefDepthwiseConvolution2dFloat32Workload>(factory, graph); |
| 198 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 199 | // 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] | 200 | CheckInputOutput(std::move(workload), |
| 201 | TensorInfo({2, 3, 8, 16}, DataType::Float32), |
| 202 | TensorInfo({2, 9, 2, 10}, DataType::Float32)); |
| 203 | } |
| 204 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 205 | template <typename FullyConnectedWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 206 | static void RefCreateFullyConnectedWorkloadTest() |
| 207 | { |
| 208 | Graph graph; |
| 209 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 210 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 211 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 212 | // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). |
| 213 | float inputsQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 1.0f : 0.0; |
| 214 | float outputQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 2.0f : 0.0; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 215 | CheckInputOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 216 | TensorInfo({ 3, 1, 4, 5 }, DataType, inputsQScale), |
| 217 | TensorInfo({ 3, 7 }, DataType, outputQScale)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 218 | } |
| 219 | |
| 220 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat32Workload) |
| 221 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 222 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 223 | } |
| 224 | |
| 225 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedUint8Workload) |
| 226 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 227 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 228 | } |
| 229 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 230 | BOOST_AUTO_TEST_CASE(CreateNormalizationWorkload) |
| 231 | { |
| 232 | Graph graph; |
| 233 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 234 | auto workload = CreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, |
| 235 | armnn::DataType::Float32>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 236 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 237 | // Checks that outputs and inputs are as we expect them (see definition of CreateNormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 238 | CheckInputOutput(std::move(workload), |
| 239 | TensorInfo({3, 5, 5, 1}, DataType::Float32), |
| 240 | TensorInfo({3, 5, 5, 1}, DataType::Float32)); |
| 241 | } |
| 242 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 243 | template <typename Pooling2dWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 244 | static void RefCreatePooling2dWorkloadTest() |
| 245 | { |
| 246 | Graph graph; |
| 247 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 248 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 249 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 250 | // Checks that outputs and inputs are as we expect them (see definition of CreatePooling2dWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 251 | CheckInputOutput( |
| 252 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 253 | TensorInfo({3, 2, 5, 5}, DataType), |
| 254 | TensorInfo({3, 2, 2, 4}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 255 | } |
| 256 | |
| 257 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32Workload) |
| 258 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 259 | RefCreatePooling2dWorkloadTest<RefPooling2dFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 260 | } |
| 261 | |
| 262 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8Workload) |
| 263 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 264 | RefCreatePooling2dWorkloadTest<RefPooling2dUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 265 | } |
| 266 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 267 | template <typename SoftmaxWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 268 | static void RefCreateSoftmaxWorkloadTest() |
| 269 | { |
| 270 | Graph graph; |
| 271 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 272 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 273 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 274 | // 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] | 275 | CheckInputOutput( |
| 276 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 277 | TensorInfo({4, 1}, DataType), |
| 278 | TensorInfo({4, 1}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 279 | } |
| 280 | |
| 281 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat32Workload) |
| 282 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 283 | RefCreateSoftmaxWorkloadTest<RefSoftmaxFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 284 | } |
| 285 | |
| 286 | BOOST_AUTO_TEST_CASE(CreateSoftmaxUint8Workload) |
| 287 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 288 | RefCreateSoftmaxWorkloadTest<RefSoftmaxUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 289 | } |
| 290 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 291 | template <typename SplitterWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 292 | static void RefCreateSplitterWorkloadTest() |
| 293 | { |
| 294 | Graph graph; |
| 295 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 296 | auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 297 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 298 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 299 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 300 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 301 | BOOST_TEST((inputHandle->GetTensorInfo() == TensorInfo({ 5, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 302 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 303 | auto outputHandle0 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 304 | BOOST_TEST((outputHandle0->GetTensorInfo() == TensorInfo({ 1, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 305 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 306 | auto outputHandle1 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[1]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 307 | BOOST_TEST((outputHandle1->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 308 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 309 | auto outputHandle2 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[2]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 310 | BOOST_TEST((outputHandle2->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 311 | } |
| 312 | |
| 313 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat32Workload) |
| 314 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 315 | RefCreateSplitterWorkloadTest<RefSplitterFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 316 | } |
| 317 | |
| 318 | BOOST_AUTO_TEST_CASE(CreateSplitterUint8Workload) |
| 319 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 320 | RefCreateSplitterWorkloadTest<RefSplitterUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 321 | } |
| 322 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 323 | template <typename SplitterWorkloadType, typename MergerWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 324 | static void RefCreateSplitterMergerWorkloadTest() |
| 325 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 326 | // Tests that it is possible to decide which output of the splitter layer |
| 327 | // should be lined to which input of the merger layer. |
| 328 | // We tested that is is possible to specify 0th output |
| 329 | // 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] | 330 | // of the merger. |
| 331 | |
| 332 | Graph graph; |
| 333 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 334 | auto workloads = CreateSplitterMergerWorkloadTest<SplitterWorkloadType, MergerWorkloadType, DataType> |
| 335 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 336 | |
| 337 | auto wlSplitter = std::move(workloads.first); |
| 338 | auto wlMerger = std::move(workloads.second); |
| 339 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 340 | //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] | 341 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 342 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 343 | armnn::CpuTensorHandle* mIn0 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 344 | armnn::CpuTensorHandle* mIn1 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 345 | |
| 346 | BOOST_TEST(sOut0); |
| 347 | BOOST_TEST(sOut1); |
| 348 | BOOST_TEST(mIn0); |
| 349 | BOOST_TEST(mIn1); |
| 350 | |
| 351 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 352 | |
| 353 | BOOST_TEST(validDataPointers); |
| 354 | } |
| 355 | |
| 356 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat32) |
| 357 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 358 | RefCreateSplitterMergerWorkloadTest<RefSplitterFloat32Workload, RefMergerFloat32Workload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 359 | } |
| 360 | |
| 361 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerUint8) |
| 362 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 363 | RefCreateSplitterMergerWorkloadTest<RefSplitterUint8Workload, RefMergerUint8Workload, DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 364 | } |
| 365 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 366 | template <typename SplitterWorkloadType, typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 367 | static void RefCreateSingleOutputMultipleInputsTest() |
| 368 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 369 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 370 | // 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] | 371 | |
| 372 | Graph graph; |
| 373 | RefWorkloadFactory factory; |
| 374 | std::unique_ptr<SplitterWorkloadType> wlSplitter; |
| 375 | std::unique_ptr<ActivationWorkloadType> wlActiv0_0; |
| 376 | std::unique_ptr<ActivationWorkloadType> wlActiv0_1; |
| 377 | std::unique_ptr<ActivationWorkloadType> wlActiv1_0; |
| 378 | std::unique_ptr<ActivationWorkloadType> wlActiv1_1; |
| 379 | |
| 380 | CreateSplitterMultipleInputsOneOutputWorkloadTest<SplitterWorkloadType, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 381 | ActivationWorkloadType, DataType>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 382 | |
| 383 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 384 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 385 | armnn::CpuTensorHandle* activ0_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 386 | armnn::CpuTensorHandle* activ0_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 387 | armnn::CpuTensorHandle* activ1_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 388 | armnn::CpuTensorHandle* activ1_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 389 | |
| 390 | |
| 391 | BOOST_TEST(sOut0); |
| 392 | BOOST_TEST(sOut1); |
| 393 | BOOST_TEST(activ0_0Im); |
| 394 | BOOST_TEST(activ0_1Im); |
| 395 | BOOST_TEST(activ1_0Im); |
| 396 | BOOST_TEST(activ1_1Im); |
| 397 | |
| 398 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 399 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 400 | |
| 401 | BOOST_TEST(validDataPointers); |
| 402 | } |
| 403 | |
| 404 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsFloat32) |
| 405 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 406 | RefCreateSingleOutputMultipleInputsTest<RefSplitterFloat32Workload, RefActivationFloat32Workload, |
| 407 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 408 | } |
| 409 | |
| 410 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsUint8) |
| 411 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 412 | RefCreateSingleOutputMultipleInputsTest<RefSplitterUint8Workload, RefActivationUint8Workload, |
| 413 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 414 | } |
| 415 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 416 | template <typename ResizeBilinearWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 417 | static void RefCreateResizeBilinearTest() |
| 418 | { |
| 419 | Graph graph; |
| 420 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 421 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 422 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 423 | // Checks that outputs and inputs are as we expect them (see definition of CreateResizeBilinearWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 424 | CheckInputOutput( |
| 425 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 426 | TensorInfo({ 2, 3, 4, 4 }, DataType), |
| 427 | TensorInfo({ 2, 3, 2, 2 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 428 | } |
| 429 | |
| 430 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32) |
| 431 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 432 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 433 | } |
| 434 | |
| 435 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearUint8) |
| 436 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 437 | RefCreateResizeBilinearTest<RefResizeBilinearUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 438 | } |
| 439 | |
| 440 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32) |
| 441 | { |
| 442 | Graph graph; |
| 443 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 444 | auto workload = CreateL2NormalizationWorkloadTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32> |
| 445 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 446 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 447 | // Checks that outputs and inputs are as we expect them (see definition of CreateL2NormalizationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 448 | CheckInputOutput( |
| 449 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 450 | TensorInfo({ 5, 20, 50, 67 }, armnn::DataType::Float32), |
| 451 | TensorInfo({ 5, 20, 50, 67 }, armnn::DataType::Float32)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 452 | } |
| 453 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 454 | template <typename ReshapeWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 455 | static void RefCreateReshapeWorkloadTest() |
| 456 | { |
| 457 | Graph graph; |
| 458 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 459 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 460 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 461 | // 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] | 462 | CheckInputOutput( |
| 463 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 464 | TensorInfo({ 4, 1 }, DataType), |
| 465 | TensorInfo({ 1, 4 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 466 | } |
| 467 | |
| 468 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat32Workload) |
| 469 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 470 | RefCreateReshapeWorkloadTest<RefReshapeFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 471 | } |
| 472 | |
| 473 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 474 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 475 | RefCreateReshapeWorkloadTest<RefReshapeUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 476 | } |
| 477 | |
| 478 | BOOST_AUTO_TEST_SUITE_END() |