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 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame^] | 230 | template <typename NormalizationWorkloadType, armnn::DataType DataType> |
| 231 | static void RefCreateNormalizationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 232 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame^] | 233 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 234 | RefWorkloadFactory factory; |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame^] | 235 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(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), |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame^] | 239 | TensorInfo({3, 5, 5, 1}, DataType), |
| 240 | TensorInfo({3, 5, 5, 1}, DataType)); |
| 241 | } |
| 242 | |
| 243 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationNchwWorkload) |
| 244 | { |
| 245 | RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 246 | } |
| 247 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 248 | template <typename Pooling2dWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 249 | static void RefCreatePooling2dWorkloadTest() |
| 250 | { |
| 251 | Graph graph; |
| 252 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 253 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 254 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 255 | // 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] | 256 | CheckInputOutput( |
| 257 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 258 | TensorInfo({3, 2, 5, 5}, DataType), |
| 259 | TensorInfo({3, 2, 2, 4}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 260 | } |
| 261 | |
| 262 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32Workload) |
| 263 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 264 | RefCreatePooling2dWorkloadTest<RefPooling2dFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 265 | } |
| 266 | |
| 267 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8Workload) |
| 268 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 269 | RefCreatePooling2dWorkloadTest<RefPooling2dUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 270 | } |
| 271 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 272 | template <typename SoftmaxWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 273 | static void RefCreateSoftmaxWorkloadTest() |
| 274 | { |
| 275 | Graph graph; |
| 276 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 277 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 278 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 279 | // 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] | 280 | CheckInputOutput( |
| 281 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 282 | TensorInfo({4, 1}, DataType), |
| 283 | TensorInfo({4, 1}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 284 | } |
| 285 | |
| 286 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat32Workload) |
| 287 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 288 | RefCreateSoftmaxWorkloadTest<RefSoftmaxFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 289 | } |
| 290 | |
| 291 | BOOST_AUTO_TEST_CASE(CreateSoftmaxUint8Workload) |
| 292 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 293 | RefCreateSoftmaxWorkloadTest<RefSoftmaxUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 294 | } |
| 295 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 296 | template <typename SplitterWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 297 | static void RefCreateSplitterWorkloadTest() |
| 298 | { |
| 299 | Graph graph; |
| 300 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 301 | auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 302 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 303 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 304 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 305 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 306 | BOOST_TEST((inputHandle->GetTensorInfo() == TensorInfo({ 5, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 307 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 308 | auto outputHandle0 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 309 | BOOST_TEST((outputHandle0->GetTensorInfo() == TensorInfo({ 1, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 310 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 311 | auto outputHandle1 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[1]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 312 | BOOST_TEST((outputHandle1->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 313 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 314 | auto outputHandle2 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[2]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 315 | BOOST_TEST((outputHandle2->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 316 | } |
| 317 | |
| 318 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat32Workload) |
| 319 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 320 | RefCreateSplitterWorkloadTest<RefSplitterFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 321 | } |
| 322 | |
| 323 | BOOST_AUTO_TEST_CASE(CreateSplitterUint8Workload) |
| 324 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 325 | RefCreateSplitterWorkloadTest<RefSplitterUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 326 | } |
| 327 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 328 | template <typename SplitterWorkloadType, typename MergerWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 329 | static void RefCreateSplitterMergerWorkloadTest() |
| 330 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 331 | // Tests that it is possible to decide which output of the splitter layer |
| 332 | // should be lined to which input of the merger layer. |
| 333 | // We tested that is is possible to specify 0th output |
| 334 | // 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] | 335 | // of the merger. |
| 336 | |
| 337 | Graph graph; |
| 338 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 339 | auto workloads = CreateSplitterMergerWorkloadTest<SplitterWorkloadType, MergerWorkloadType, DataType> |
| 340 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 341 | |
| 342 | auto wlSplitter = std::move(workloads.first); |
| 343 | auto wlMerger = std::move(workloads.second); |
| 344 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 345 | //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] | 346 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 347 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 348 | armnn::CpuTensorHandle* mIn0 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 349 | armnn::CpuTensorHandle* mIn1 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 350 | |
| 351 | BOOST_TEST(sOut0); |
| 352 | BOOST_TEST(sOut1); |
| 353 | BOOST_TEST(mIn0); |
| 354 | BOOST_TEST(mIn1); |
| 355 | |
| 356 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 357 | |
| 358 | BOOST_TEST(validDataPointers); |
| 359 | } |
| 360 | |
| 361 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat32) |
| 362 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 363 | RefCreateSplitterMergerWorkloadTest<RefSplitterFloat32Workload, RefMergerFloat32Workload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 364 | } |
| 365 | |
| 366 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerUint8) |
| 367 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 368 | RefCreateSplitterMergerWorkloadTest<RefSplitterUint8Workload, RefMergerUint8Workload, DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 369 | } |
| 370 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 371 | template <typename SplitterWorkloadType, typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 372 | static void RefCreateSingleOutputMultipleInputsTest() |
| 373 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 374 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 375 | // 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] | 376 | |
| 377 | Graph graph; |
| 378 | RefWorkloadFactory factory; |
| 379 | std::unique_ptr<SplitterWorkloadType> wlSplitter; |
| 380 | std::unique_ptr<ActivationWorkloadType> wlActiv0_0; |
| 381 | std::unique_ptr<ActivationWorkloadType> wlActiv0_1; |
| 382 | std::unique_ptr<ActivationWorkloadType> wlActiv1_0; |
| 383 | std::unique_ptr<ActivationWorkloadType> wlActiv1_1; |
| 384 | |
| 385 | CreateSplitterMultipleInputsOneOutputWorkloadTest<SplitterWorkloadType, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 386 | ActivationWorkloadType, DataType>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 387 | |
| 388 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 389 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 390 | armnn::CpuTensorHandle* activ0_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 391 | armnn::CpuTensorHandle* activ0_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 392 | armnn::CpuTensorHandle* activ1_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 393 | armnn::CpuTensorHandle* activ1_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 394 | |
| 395 | |
| 396 | BOOST_TEST(sOut0); |
| 397 | BOOST_TEST(sOut1); |
| 398 | BOOST_TEST(activ0_0Im); |
| 399 | BOOST_TEST(activ0_1Im); |
| 400 | BOOST_TEST(activ1_0Im); |
| 401 | BOOST_TEST(activ1_1Im); |
| 402 | |
| 403 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 404 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 405 | |
| 406 | BOOST_TEST(validDataPointers); |
| 407 | } |
| 408 | |
| 409 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsFloat32) |
| 410 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 411 | RefCreateSingleOutputMultipleInputsTest<RefSplitterFloat32Workload, RefActivationFloat32Workload, |
| 412 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 413 | } |
| 414 | |
| 415 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsUint8) |
| 416 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 417 | RefCreateSingleOutputMultipleInputsTest<RefSplitterUint8Workload, RefActivationUint8Workload, |
| 418 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 419 | } |
| 420 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 421 | template <typename ResizeBilinearWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 422 | static void RefCreateResizeBilinearTest() |
| 423 | { |
| 424 | Graph graph; |
| 425 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 426 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 427 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 428 | // 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] | 429 | CheckInputOutput( |
| 430 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 431 | TensorInfo({ 2, 3, 4, 4 }, DataType), |
| 432 | TensorInfo({ 2, 3, 2, 2 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 433 | } |
| 434 | |
| 435 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32) |
| 436 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 437 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 438 | } |
| 439 | |
| 440 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearUint8) |
| 441 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 442 | RefCreateResizeBilinearTest<RefResizeBilinearUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 443 | } |
| 444 | |
| 445 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32) |
| 446 | { |
| 447 | Graph graph; |
| 448 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 449 | auto workload = CreateL2NormalizationWorkloadTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32> |
| 450 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 451 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 452 | // 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] | 453 | CheckInputOutput( |
| 454 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 455 | TensorInfo({ 5, 20, 50, 67 }, armnn::DataType::Float32), |
| 456 | TensorInfo({ 5, 20, 50, 67 }, armnn::DataType::Float32)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 457 | } |
| 458 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 459 | template <typename ReshapeWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 460 | static void RefCreateReshapeWorkloadTest() |
| 461 | { |
| 462 | Graph graph; |
| 463 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 464 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 465 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 466 | // 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] | 467 | CheckInputOutput( |
| 468 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 469 | TensorInfo({ 4, 1 }, DataType), |
| 470 | TensorInfo({ 1, 4 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 471 | } |
| 472 | |
| 473 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat32Workload) |
| 474 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 475 | RefCreateReshapeWorkloadTest<RefReshapeFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 476 | } |
| 477 | |
| 478 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 479 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 480 | RefCreateReshapeWorkloadTest<RefReshapeUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 481 | } |
| 482 | |
| 483 | BOOST_AUTO_TEST_SUITE_END() |