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 | |
| 6 | #include <armnn/test/CreateWorkload.hpp> |
| 7 | |
| 8 | #include <backends/CpuTensorHandle.hpp> |
David Beck | b4540be | 2018-09-24 13:18:27 +0100 | [diff] [blame] | 9 | #include <backends/reference/RefWorkloadFactory.hpp> |
| 10 | #include <backends/reference/workloads/RefWorkloads.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 11 | |
| 12 | namespace |
| 13 | { |
| 14 | |
| 15 | template<typename Workload> |
| 16 | void CheckInputOutput(std::unique_ptr<Workload> workload, const TensorInfo& inputInfo, const TensorInfo& outputInfo) |
| 17 | { |
| 18 | auto queueDescriptor = workload->GetData(); |
| 19 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 20 | auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 21 | BOOST_TEST((inputHandle->GetTensorInfo() == inputInfo)); |
| 22 | BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo)); |
| 23 | } |
| 24 | |
| 25 | template <typename Workload> |
| 26 | void CheckInputsOutput(std::unique_ptr<Workload> workload, |
| 27 | const TensorInfo& inputInfo0, |
| 28 | const TensorInfo& inputInfo1, |
| 29 | const TensorInfo& outputInfo) |
| 30 | { |
| 31 | auto queueDescriptor = workload->GetData(); |
| 32 | auto inputHandle0 = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
| 33 | auto inputHandle1 = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[1]); |
| 34 | auto outputHandle = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
| 35 | BOOST_TEST((inputHandle0->GetTensorInfo() == inputInfo0)); |
| 36 | BOOST_TEST((inputHandle1->GetTensorInfo() == inputInfo1)); |
| 37 | BOOST_TEST((outputHandle->GetTensorInfo() == outputInfo)); |
| 38 | } |
| 39 | } |
| 40 | |
| 41 | BOOST_AUTO_TEST_SUITE(CreateWorkloadRef) |
| 42 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 43 | template <typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 44 | static void RefCreateActivationWorkloadTest() |
| 45 | { |
| 46 | Graph graph; |
| 47 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 48 | auto workload = CreateActivationWorkloadTest<ActivationWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 49 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 50 | // Checks that outputs are as we expect them (see definition of CreateActivationWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 51 | CheckInputOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 52 | TensorInfo({ 1, 1 }, DataType), |
| 53 | TensorInfo({ 1, 1 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 54 | } |
| 55 | |
| 56 | BOOST_AUTO_TEST_CASE(CreateActivationFloat32Workload) |
| 57 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 58 | RefCreateActivationWorkloadTest<RefActivationFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 59 | } |
| 60 | |
| 61 | BOOST_AUTO_TEST_CASE(CreateActivationUint8Workload) |
| 62 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 63 | RefCreateActivationWorkloadTest<RefActivationUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 64 | } |
| 65 | |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 66 | template <typename WorkloadType, |
| 67 | typename DescriptorType, |
| 68 | typename LayerType, |
| 69 | armnn::DataType DataType> |
| 70 | static void RefCreateArithmethicWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 71 | { |
| 72 | Graph graph; |
| 73 | RefWorkloadFactory factory; |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 74 | auto workload = CreateArithmeticWorkloadTest<WorkloadType, DescriptorType, LayerType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 75 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 76 | CheckInputsOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 77 | TensorInfo({ 2, 3 }, DataType), |
| 78 | TensorInfo({ 2, 3 }, DataType), |
| 79 | TensorInfo({ 2, 3 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 80 | } |
| 81 | |
| 82 | BOOST_AUTO_TEST_CASE(CreateAdditionFloatWorkload) |
| 83 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 84 | RefCreateArithmethicWorkloadTest<RefAdditionFloat32Workload, |
| 85 | AdditionQueueDescriptor, |
| 86 | AdditionLayer, |
| 87 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 88 | } |
| 89 | |
| 90 | BOOST_AUTO_TEST_CASE(CreateAdditionUint8Workload) |
| 91 | { |
David Beck | bc39245 | 2018-09-10 14:47:28 +0100 | [diff] [blame] | 92 | RefCreateArithmethicWorkloadTest<RefAdditionUint8Workload, |
| 93 | AdditionQueueDescriptor, |
| 94 | AdditionLayer, |
| 95 | armnn::DataType::QuantisedAsymm8>(); |
| 96 | } |
| 97 | |
| 98 | BOOST_AUTO_TEST_CASE(CreateSubtractionFloatWorkload) |
| 99 | { |
| 100 | RefCreateArithmethicWorkloadTest<RefSubtractionFloat32Workload, |
| 101 | SubtractionQueueDescriptor, |
| 102 | SubtractionLayer, |
| 103 | armnn::DataType::Float32>(); |
| 104 | } |
| 105 | |
| 106 | BOOST_AUTO_TEST_CASE(CreateSubtractionUint8Workload) |
| 107 | { |
| 108 | RefCreateArithmethicWorkloadTest<RefSubtractionUint8Workload, |
| 109 | SubtractionQueueDescriptor, |
| 110 | SubtractionLayer, |
| 111 | armnn::DataType::QuantisedAsymm8>(); |
| 112 | } |
| 113 | |
| 114 | BOOST_AUTO_TEST_CASE(CreateMultiplicationFloatWorkload) |
| 115 | { |
| 116 | RefCreateArithmethicWorkloadTest<RefMultiplicationFloat32Workload, |
| 117 | MultiplicationQueueDescriptor, |
| 118 | MultiplicationLayer, |
| 119 | armnn::DataType::Float32>(); |
| 120 | } |
| 121 | |
| 122 | BOOST_AUTO_TEST_CASE(CreateMultiplicationUint8Workload) |
| 123 | { |
| 124 | RefCreateArithmethicWorkloadTest<RefMultiplicationUint8Workload, |
| 125 | MultiplicationQueueDescriptor, |
| 126 | MultiplicationLayer, |
| 127 | armnn::DataType::QuantisedAsymm8>(); |
| 128 | } |
| 129 | |
| 130 | BOOST_AUTO_TEST_CASE(CreateDivisionFloatWorkload) |
| 131 | { |
| 132 | RefCreateArithmethicWorkloadTest<RefDivisionFloat32Workload, |
| 133 | DivisionQueueDescriptor, |
| 134 | DivisionLayer, |
| 135 | armnn::DataType::Float32>(); |
| 136 | } |
| 137 | |
| 138 | BOOST_AUTO_TEST_CASE(CreateDivisionUint8Workload) |
| 139 | { |
| 140 | RefCreateArithmethicWorkloadTest<RefDivisionUint8Workload, |
| 141 | DivisionQueueDescriptor, |
| 142 | DivisionLayer, |
| 143 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 144 | } |
| 145 | |
| 146 | BOOST_AUTO_TEST_CASE(CreateBatchNormalizationWorkload) |
| 147 | { |
| 148 | Graph graph; |
| 149 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 150 | auto workload = CreateBatchNormalizationWorkloadTest<RefBatchNormalizationFloat32Workload, armnn::DataType::Float32> |
| 151 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 152 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 153 | // 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] | 154 | CheckInputOutput( |
| 155 | std::move(workload), TensorInfo({2, 3, 1, 1}, DataType::Float32), TensorInfo({2, 3, 1, 1}, DataType::Float32)); |
| 156 | } |
| 157 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 158 | BOOST_AUTO_TEST_CASE(CreateConvertFp16ToFp32Float32Workload) |
| 159 | { |
| 160 | Graph graph; |
| 161 | RefWorkloadFactory factory; |
| 162 | auto workload = CreateConvertFp16ToFp32WorkloadTest<RefConvertFp16ToFp32Workload>(factory, graph); |
| 163 | |
| 164 | // Checks that outputs and inputs are as we expect them |
| 165 | CheckInputOutput( |
| 166 | std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float16), TensorInfo({1, 3, 2, 3}, DataType::Float32)); |
| 167 | } |
| 168 | |
| 169 | BOOST_AUTO_TEST_CASE(CreateConvertFp32ToFp16Float16Workload) |
| 170 | { |
| 171 | Graph graph; |
| 172 | RefWorkloadFactory factory; |
| 173 | auto workload = CreateConvertFp32ToFp16WorkloadTest<RefConvertFp32ToFp16Workload>(factory, graph); |
| 174 | |
| 175 | // Checks that outputs and inputs are as we expect them |
| 176 | CheckInputOutput( |
| 177 | std::move(workload), TensorInfo({1, 3, 2, 3}, DataType::Float32), TensorInfo({1, 3, 2, 3}, DataType::Float16)); |
| 178 | } |
| 179 | |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame^] | 180 | static void RefCreateConvolution2dWorkloadTest(DataLayout dataLayout = DataLayout::NCHW) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 181 | { |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame^] | 182 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 183 | RefWorkloadFactory factory; |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame^] | 184 | auto workload = CreateConvolution2dWorkloadTest<RefConvolution2dFloat32Workload, DataType::Float32> |
| 185 | (factory, graph, dataLayout); |
| 186 | |
| 187 | std::initializer_list<unsigned int> inputShape = (dataLayout == DataLayout::NCHW) ? |
| 188 | std::initializer_list<unsigned int>({2, 3, 8, 16}) : std::initializer_list<unsigned int>({2, 8, 16, 3}); |
| 189 | std::initializer_list<unsigned int> outputShape = (dataLayout == DataLayout::NCHW) ? |
| 190 | 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] | 191 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | // 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] | 193 | CheckInputOutput(std::move(workload), |
Nikhil Raj | e4dfd6e | 2018-10-18 10:11:04 +0100 | [diff] [blame^] | 194 | TensorInfo(inputShape, DataType::Float32), |
| 195 | TensorInfo(outputShape, DataType::Float32)); |
| 196 | } |
| 197 | |
| 198 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNchwWorkload) |
| 199 | { |
| 200 | RefCreateConvolution2dWorkloadTest(DataLayout::NCHW); |
| 201 | } |
| 202 | |
| 203 | BOOST_AUTO_TEST_CASE(CreateConvolution2dFloatNhwcWorkload) |
| 204 | { |
| 205 | RefCreateConvolution2dWorkloadTest(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 206 | } |
| 207 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 208 | template <typename FullyConnectedWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 209 | static void RefCreateFullyConnectedWorkloadTest() |
| 210 | { |
| 211 | Graph graph; |
| 212 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 213 | auto workload = CreateFullyConnectedWorkloadTest<FullyConnectedWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 214 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 215 | // Checks that outputs and inputs are as we expect them (see definition of CreateFullyConnectedWorkloadTest). |
| 216 | float inputsQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 1.0f : 0.0; |
| 217 | float outputQScale = DataType == armnn::DataType::QuantisedAsymm8 ? 2.0f : 0.0; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 218 | CheckInputOutput(std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 219 | TensorInfo({ 3, 1, 4, 5 }, DataType, inputsQScale), |
| 220 | TensorInfo({ 3, 7 }, DataType, outputQScale)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 221 | } |
| 222 | |
| 223 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedFloat32Workload) |
| 224 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 225 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 226 | } |
| 227 | |
| 228 | BOOST_AUTO_TEST_CASE(CreateFullyConnectedUint8Workload) |
| 229 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 230 | RefCreateFullyConnectedWorkloadTest<RefFullyConnectedUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 231 | } |
| 232 | |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 233 | template <typename NormalizationWorkloadType, armnn::DataType DataType> |
| 234 | static void RefCreateNormalizationWorkloadTest() |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 235 | { |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 236 | Graph graph; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 237 | RefWorkloadFactory factory; |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 238 | auto workload = CreateNormalizationWorkloadTest<NormalizationWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 239 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 240 | // 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] | 241 | CheckInputOutput(std::move(workload), |
narpra01 | 55a97bc | 2018-10-02 14:35:53 +0100 | [diff] [blame] | 242 | TensorInfo({3, 5, 5, 1}, DataType), |
| 243 | TensorInfo({3, 5, 5, 1}, DataType)); |
| 244 | } |
| 245 | |
| 246 | BOOST_AUTO_TEST_CASE(CreateRefNormalizationNchwWorkload) |
| 247 | { |
| 248 | RefCreateNormalizationWorkloadTest<RefNormalizationFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 249 | } |
| 250 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 251 | template <typename Pooling2dWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 252 | static void RefCreatePooling2dWorkloadTest() |
| 253 | { |
| 254 | Graph graph; |
| 255 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 256 | auto workload = CreatePooling2dWorkloadTest<Pooling2dWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 257 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 258 | // 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] | 259 | CheckInputOutput( |
| 260 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 261 | TensorInfo({3, 2, 5, 5}, DataType), |
| 262 | TensorInfo({3, 2, 2, 4}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 263 | } |
| 264 | |
| 265 | BOOST_AUTO_TEST_CASE(CreatePooling2dFloat32Workload) |
| 266 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 267 | RefCreatePooling2dWorkloadTest<RefPooling2dFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 268 | } |
| 269 | |
| 270 | BOOST_AUTO_TEST_CASE(CreatePooling2dUint8Workload) |
| 271 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 272 | RefCreatePooling2dWorkloadTest<RefPooling2dUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 273 | } |
| 274 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 275 | template <typename SoftmaxWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 276 | static void RefCreateSoftmaxWorkloadTest() |
| 277 | { |
| 278 | Graph graph; |
| 279 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 280 | auto workload = CreateSoftmaxWorkloadTest<SoftmaxWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 281 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 282 | // 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] | 283 | CheckInputOutput( |
| 284 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 285 | TensorInfo({4, 1}, DataType), |
| 286 | TensorInfo({4, 1}, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 287 | } |
| 288 | |
| 289 | BOOST_AUTO_TEST_CASE(CreateSoftmaxFloat32Workload) |
| 290 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 291 | RefCreateSoftmaxWorkloadTest<RefSoftmaxFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 292 | } |
| 293 | |
| 294 | BOOST_AUTO_TEST_CASE(CreateSoftmaxUint8Workload) |
| 295 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 296 | RefCreateSoftmaxWorkloadTest<RefSoftmaxUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 297 | } |
| 298 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 299 | template <typename SplitterWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 300 | static void RefCreateSplitterWorkloadTest() |
| 301 | { |
| 302 | Graph graph; |
| 303 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 304 | auto workload = CreateSplitterWorkloadTest<SplitterWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 305 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 306 | // Checks that outputs are as we expect them (see definition of CreateSplitterWorkloadTest). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 307 | SplitterQueueDescriptor queueDescriptor = workload->GetData(); |
| 308 | auto inputHandle = boost::polymorphic_downcast<ConstCpuTensorHandle*>(queueDescriptor.m_Inputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 309 | BOOST_TEST((inputHandle->GetTensorInfo() == TensorInfo({ 5, 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 outputHandle0 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[0]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 312 | BOOST_TEST((outputHandle0->GetTensorInfo() == TensorInfo({ 1, 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 outputHandle1 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[1]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 315 | BOOST_TEST((outputHandle1->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 316 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 317 | auto outputHandle2 = boost::polymorphic_downcast<CpuTensorHandle*>(queueDescriptor.m_Outputs[2]); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 318 | BOOST_TEST((outputHandle2->GetTensorInfo() == TensorInfo({ 2, 7, 7 }, DataType))); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 319 | } |
| 320 | |
| 321 | BOOST_AUTO_TEST_CASE(CreateSplitterFloat32Workload) |
| 322 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 323 | RefCreateSplitterWorkloadTest<RefSplitterFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 324 | } |
| 325 | |
| 326 | BOOST_AUTO_TEST_CASE(CreateSplitterUint8Workload) |
| 327 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 328 | RefCreateSplitterWorkloadTest<RefSplitterUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 329 | } |
| 330 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 331 | template <typename SplitterWorkloadType, typename MergerWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 332 | static void RefCreateSplitterMergerWorkloadTest() |
| 333 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 334 | // Tests that it is possible to decide which output of the splitter layer |
| 335 | // should be lined to which input of the merger layer. |
| 336 | // We tested that is is possible to specify 0th output |
| 337 | // 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] | 338 | // of the merger. |
| 339 | |
| 340 | Graph graph; |
| 341 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 342 | auto workloads = CreateSplitterMergerWorkloadTest<SplitterWorkloadType, MergerWorkloadType, DataType> |
| 343 | (factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 344 | |
| 345 | auto wlSplitter = std::move(workloads.first); |
| 346 | auto wlMerger = std::move(workloads.second); |
| 347 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 348 | //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] | 349 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 350 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 351 | armnn::CpuTensorHandle* mIn0 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[0]); |
| 352 | armnn::CpuTensorHandle* mIn1 = dynamic_cast<armnn::CpuTensorHandle*>(wlMerger->GetData().m_Inputs[1]); |
| 353 | |
| 354 | BOOST_TEST(sOut0); |
| 355 | BOOST_TEST(sOut1); |
| 356 | BOOST_TEST(mIn0); |
| 357 | BOOST_TEST(mIn1); |
| 358 | |
| 359 | bool validDataPointers = (sOut0 == mIn1) && (sOut1 == mIn0); |
| 360 | |
| 361 | BOOST_TEST(validDataPointers); |
| 362 | } |
| 363 | |
| 364 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerFloat32) |
| 365 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 366 | RefCreateSplitterMergerWorkloadTest<RefSplitterFloat32Workload, RefMergerFloat32Workload, DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 367 | } |
| 368 | |
| 369 | BOOST_AUTO_TEST_CASE(CreateSplitterMergerUint8) |
| 370 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 371 | RefCreateSplitterMergerWorkloadTest<RefSplitterUint8Workload, RefMergerUint8Workload, DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 372 | } |
| 373 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 374 | template <typename SplitterWorkloadType, typename ActivationWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 375 | static void RefCreateSingleOutputMultipleInputsTest() |
| 376 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 377 | // Tests that it is possible to assign multiple (two) different layers to each of the outputs of a splitter layer. |
| 378 | // 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] | 379 | |
| 380 | Graph graph; |
| 381 | RefWorkloadFactory factory; |
| 382 | std::unique_ptr<SplitterWorkloadType> wlSplitter; |
| 383 | std::unique_ptr<ActivationWorkloadType> wlActiv0_0; |
| 384 | std::unique_ptr<ActivationWorkloadType> wlActiv0_1; |
| 385 | std::unique_ptr<ActivationWorkloadType> wlActiv1_0; |
| 386 | std::unique_ptr<ActivationWorkloadType> wlActiv1_1; |
| 387 | |
| 388 | CreateSplitterMultipleInputsOneOutputWorkloadTest<SplitterWorkloadType, |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 389 | ActivationWorkloadType, DataType>(factory, graph, wlSplitter, wlActiv0_0, wlActiv0_1, wlActiv1_0, wlActiv1_1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 390 | |
| 391 | armnn::CpuTensorHandle* sOut0 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[0]); |
| 392 | armnn::CpuTensorHandle* sOut1 = dynamic_cast<armnn::CpuTensorHandle*>(wlSplitter->GetData().m_Outputs[1]); |
| 393 | armnn::CpuTensorHandle* activ0_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_0->GetData().m_Inputs[0]); |
| 394 | armnn::CpuTensorHandle* activ0_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv0_1->GetData().m_Inputs[0]); |
| 395 | armnn::CpuTensorHandle* activ1_0Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_0->GetData().m_Inputs[0]); |
| 396 | armnn::CpuTensorHandle* activ1_1Im = dynamic_cast<armnn::CpuTensorHandle*>(wlActiv1_1->GetData().m_Inputs[0]); |
| 397 | |
| 398 | |
| 399 | BOOST_TEST(sOut0); |
| 400 | BOOST_TEST(sOut1); |
| 401 | BOOST_TEST(activ0_0Im); |
| 402 | BOOST_TEST(activ0_1Im); |
| 403 | BOOST_TEST(activ1_0Im); |
| 404 | BOOST_TEST(activ1_1Im); |
| 405 | |
| 406 | bool validDataPointers = (sOut0 == activ0_0Im) && (sOut0 == activ0_1Im) && |
| 407 | (sOut1 == activ1_0Im) && (sOut1 == activ1_1Im); |
| 408 | |
| 409 | BOOST_TEST(validDataPointers); |
| 410 | } |
| 411 | |
| 412 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsFloat32) |
| 413 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 414 | RefCreateSingleOutputMultipleInputsTest<RefSplitterFloat32Workload, RefActivationFloat32Workload, |
| 415 | armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 416 | } |
| 417 | |
| 418 | BOOST_AUTO_TEST_CASE(CreateSingleOutputMultipleInputsUint8) |
| 419 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 420 | RefCreateSingleOutputMultipleInputsTest<RefSplitterUint8Workload, RefActivationUint8Workload, |
| 421 | armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 422 | } |
| 423 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 424 | template <typename ResizeBilinearWorkloadType, armnn::DataType DataType> |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 425 | static void RefCreateResizeBilinearTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 426 | { |
| 427 | Graph graph; |
| 428 | RefWorkloadFactory factory; |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 429 | auto workload = CreateResizeBilinearWorkloadTest<ResizeBilinearWorkloadType, DataType>(factory, graph, dataLayout); |
| 430 | |
| 431 | TensorShape inputShape; |
| 432 | TensorShape outputShape; |
| 433 | |
| 434 | switch (dataLayout) |
| 435 | { |
| 436 | case DataLayout::NHWC: |
| 437 | inputShape = { 2, 4, 4, 3 }; |
| 438 | outputShape = { 2, 2, 2, 3 }; |
| 439 | break; |
| 440 | default: // NCHW |
| 441 | inputShape = { 2, 3, 4, 4 }; |
| 442 | outputShape = { 2, 3, 2, 2 }; |
| 443 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 444 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 445 | // 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] | 446 | CheckInputOutput( |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 447 | std::move(workload), |
| 448 | TensorInfo(inputShape, DataType), |
| 449 | TensorInfo(outputShape, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 450 | } |
| 451 | |
| 452 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32) |
| 453 | { |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 454 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 455 | } |
| 456 | |
| 457 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearUint8) |
| 458 | { |
James Conroy | 5954082 | 2018-10-11 12:39:05 +0100 | [diff] [blame] | 459 | RefCreateResizeBilinearTest<RefResizeBilinearUint8Workload, armnn::DataType::QuantisedAsymm8>(DataLayout::NCHW); |
| 460 | } |
| 461 | |
| 462 | BOOST_AUTO_TEST_CASE(CreateResizeBilinearFloat32Nhwc) |
| 463 | { |
| 464 | RefCreateResizeBilinearTest<RefResizeBilinearFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 465 | } |
| 466 | |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 467 | template <typename L2NormalizationWorkloadType, armnn::DataType DataType> |
| 468 | static void RefCreateL2NormalizationTest(DataLayout dataLayout) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 469 | { |
| 470 | Graph graph; |
| 471 | RefWorkloadFactory factory; |
Matteo Martincigh | b63973e | 2018-10-16 16:23:33 +0100 | [diff] [blame] | 472 | auto workload = |
| 473 | CreateL2NormalizationWorkloadTest<L2NormalizationWorkloadType, DataType>(factory, graph, dataLayout); |
| 474 | |
| 475 | TensorShape inputShape; |
| 476 | TensorShape outputShape; |
| 477 | |
| 478 | switch (dataLayout) |
| 479 | { |
| 480 | case DataLayout::NHWC: |
| 481 | inputShape = { 5, 50, 67, 20 }; |
| 482 | outputShape = { 5, 50, 67, 20 }; |
| 483 | break; |
| 484 | case DataLayout::NCHW: |
| 485 | default: |
| 486 | inputShape = { 5, 20, 50, 67 }; |
| 487 | outputShape = { 5, 20, 50, 67 }; |
| 488 | break; |
| 489 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 490 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 491 | // 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] | 492 | CheckInputOutput(std::move(workload), TensorInfo(inputShape, DataType), TensorInfo(outputShape, DataType)); |
| 493 | } |
| 494 | |
| 495 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32) |
| 496 | { |
| 497 | RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW); |
| 498 | } |
| 499 | |
| 500 | BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32Nhwc) |
| 501 | { |
| 502 | RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 503 | } |
| 504 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 505 | template <typename ReshapeWorkloadType, armnn::DataType DataType> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 506 | static void RefCreateReshapeWorkloadTest() |
| 507 | { |
| 508 | Graph graph; |
| 509 | RefWorkloadFactory factory; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 510 | auto workload = CreateReshapeWorkloadTest<ReshapeWorkloadType, DataType>(factory, graph); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 511 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 512 | // 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] | 513 | CheckInputOutput( |
| 514 | std::move(workload), |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 515 | TensorInfo({ 4, 1 }, DataType), |
| 516 | TensorInfo({ 1, 4 }, DataType)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 517 | } |
| 518 | |
| 519 | BOOST_AUTO_TEST_CASE(CreateReshapeFloat32Workload) |
| 520 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 521 | RefCreateReshapeWorkloadTest<RefReshapeFloat32Workload, armnn::DataType::Float32>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 522 | } |
| 523 | |
| 524 | BOOST_AUTO_TEST_CASE(CreateReshapeUint8Workload) |
| 525 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 526 | RefCreateReshapeWorkloadTest<RefReshapeUint8Workload, armnn::DataType::QuantisedAsymm8>(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 527 | } |
| 528 | |
| 529 | BOOST_AUTO_TEST_SUITE_END() |