Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 6 | #include <backendsCommon/test/EndToEndTestImpl.hpp> |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 7 | |
Aron Virginas-Tar | 8fccd86 | 2019-09-09 11:22:56 +0100 | [diff] [blame] | 8 | #include <backendsCommon/test/AbsEndToEndTestImpl.hpp> |
Francis Murtagh | e24e3cd | 2019-06-25 14:41:55 +0100 | [diff] [blame] | 9 | #include <backendsCommon/test/BatchToSpaceNdEndToEndTestImpl.hpp> |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 10 | #include <backendsCommon/test/ComparisonEndToEndTestImpl.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 11 | #include <backendsCommon/test/ConcatEndToEndTestImpl.hpp> |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 12 | #include <backendsCommon/test/DepthToSpaceEndToEndTestImpl.hpp> |
Narumol Prangnawarat | 8c7324d | 2019-05-31 16:42:11 +0100 | [diff] [blame] | 13 | #include <backendsCommon/test/DequantizeEndToEndTestImpl.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 14 | #include <backendsCommon/test/DetectionPostProcessEndToEndTestImpl.hpp> |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 15 | #include <backendsCommon/test/GatherEndToEndTestImpl.hpp> |
Sadik Armagan | 062e0e9 | 2019-10-14 10:31:43 +0100 | [diff] [blame] | 16 | #include <backendsCommon/test/InstanceNormalizationEndToEndTestImpl.hpp> |
Sadik Armagan | 20bea00 | 2019-10-16 09:29:38 +0100 | [diff] [blame] | 17 | #include <backendsCommon/test/LogSoftmaxEndToEndTestImpl.hpp> |
Nikhil Raj | 747f586 | 2019-07-19 15:15:23 +0100 | [diff] [blame] | 18 | #include <backendsCommon/test/PreluEndToEndTestImpl.hpp> |
Aron Virginas-Tar | fe15eff | 2019-07-01 16:12:58 +0100 | [diff] [blame] | 19 | #include <backendsCommon/test/ResizeEndToEndTestImpl.hpp> |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 20 | #include <backendsCommon/test/SpaceToDepthEndToEndTestImpl.hpp> |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 21 | #include <backendsCommon/test/SplitterEndToEndTestImpl.hpp> |
Aron Virginas-Tar | 98180ef | 2019-06-26 15:02:47 +0100 | [diff] [blame] | 22 | #include <backendsCommon/test/TransposeConvolution2dEndToEndTestImpl.hpp> |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 23 | |
| 24 | #include <boost/test/unit_test.hpp> |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 25 | #include <boost/test/execution_monitor.hpp> |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 26 | |
| 27 | BOOST_AUTO_TEST_SUITE(RefEndToEnd) |
| 28 | |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 29 | std::vector<armnn::BackendId> defaultBackends = {armnn::Compute::CpuRef}; |
| 30 | |
Aron Virginas-Tar | 8fccd86 | 2019-09-09 11:22:56 +0100 | [diff] [blame] | 31 | // Abs |
| 32 | BOOST_AUTO_TEST_CASE(RefAbsEndToEndTestFloat32) |
| 33 | { |
| 34 | AbsEndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 35 | } |
| 36 | |
| 37 | BOOST_AUTO_TEST_CASE(RefAbsEndToEndTestUint8) |
| 38 | { |
| 39 | AbsEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 40 | } |
| 41 | |
| 42 | BOOST_AUTO_TEST_CASE(RefAbsEndToEndTestInt16) |
| 43 | { |
| 44 | AbsEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends); |
| 45 | } |
| 46 | |
| 47 | // Constant |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 48 | BOOST_AUTO_TEST_CASE(ConstantUsage_Ref_Float32) |
| 49 | { |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 50 | BOOST_TEST(ConstantUsageFloat32Test(defaultBackends)); |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 51 | } |
| 52 | |
| 53 | BOOST_AUTO_TEST_CASE(ConstantUsage_Ref_Uint8) |
| 54 | { |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 55 | BOOST_TEST(ConstantUsageUint8Test(defaultBackends)); |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 56 | } |
| 57 | |
| 58 | BOOST_AUTO_TEST_CASE(Unsigned8) |
| 59 | { |
| 60 | using namespace armnn; |
| 61 | |
| 62 | // Create runtime in which test will run |
| 63 | armnn::IRuntime::CreationOptions options; |
| 64 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 65 | |
| 66 | // Builds up the structure of the network. |
| 67 | armnn::INetworkPtr net(INetwork::Create()); |
| 68 | |
| 69 | IConnectableLayer* input = net->AddInputLayer(0, "input"); |
| 70 | IConnectableLayer* softmax = net->AddSoftmaxLayer(SoftmaxDescriptor(), "softmax"); |
| 71 | IConnectableLayer* output = net->AddOutputLayer(0, "output"); |
| 72 | |
| 73 | input->GetOutputSlot(0).Connect(softmax->GetInputSlot(0)); |
| 74 | softmax->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 75 | |
| 76 | // Sets the tensors in the network. |
| 77 | TensorInfo inputTensorInfo(TensorShape({1, 5}), DataType::QuantisedAsymm8); |
| 78 | inputTensorInfo.SetQuantizationOffset(100); |
| 79 | inputTensorInfo.SetQuantizationScale(10000.0f); |
| 80 | input->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 81 | |
| 82 | TensorInfo outputTensorInfo(TensorShape({1, 5}), DataType::QuantisedAsymm8); |
| 83 | outputTensorInfo.SetQuantizationOffset(0); |
| 84 | outputTensorInfo.SetQuantizationScale(1.0f/255.0f); |
| 85 | softmax->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 86 | |
| 87 | // optimize the network |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 88 | IOptimizedNetworkPtr optNet = Optimize(*net, defaultBackends, runtime->GetDeviceSpec()); |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 89 | |
| 90 | // Loads it into the runtime. |
| 91 | NetworkId netId; |
| 92 | auto error = runtime->LoadNetwork(netId, std::move(optNet)); |
| 93 | BOOST_TEST(error == Status::Success); |
| 94 | |
| 95 | // Creates structures for input & output. |
| 96 | std::vector<uint8_t> inputData |
| 97 | { |
| 98 | 1, 10, 3, 200, 5 // Some inputs - one of which is sufficiently larger than the others to saturate softmax. |
| 99 | }; |
| 100 | std::vector<uint8_t> outputData(5); |
| 101 | |
| 102 | armnn::InputTensors inputTensors |
| 103 | { |
| 104 | {0, armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData.data())} |
| 105 | }; |
| 106 | armnn::OutputTensors outputTensors |
| 107 | { |
| 108 | {0, armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), outputData.data())} |
| 109 | }; |
| 110 | |
| 111 | // Does the inference. |
| 112 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 113 | |
| 114 | // Checks the results. |
| 115 | BOOST_TEST(outputData[0] == 0); |
| 116 | BOOST_TEST(outputData[1] == 0); |
| 117 | BOOST_TEST(outputData[2] == 0); |
| 118 | BOOST_TEST(outputData[3] == 255); // softmax has been saturated. |
| 119 | BOOST_TEST(outputData[4] == 0); |
| 120 | } |
| 121 | |
| 122 | BOOST_AUTO_TEST_CASE(TrivialAdd) |
| 123 | { |
| 124 | // This test was designed to match "AddTwo" in android nn/runtime/test/TestTrivialModel.cpp. |
| 125 | |
| 126 | using namespace armnn; |
| 127 | |
| 128 | // Create runtime in which test will run |
| 129 | armnn::IRuntime::CreationOptions options; |
| 130 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 131 | |
| 132 | // Builds up the structure of the network. |
| 133 | armnn::INetworkPtr net(INetwork::Create()); |
| 134 | |
| 135 | IConnectableLayer* input1 = net->AddInputLayer(0); |
| 136 | IConnectableLayer* input2 = net->AddInputLayer(1); |
| 137 | IConnectableLayer* add = net->AddAdditionLayer(); |
| 138 | IConnectableLayer* output = net->AddOutputLayer(0); |
| 139 | |
| 140 | input1->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 141 | input2->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 142 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 143 | |
| 144 | // Sets the tensors in the network. |
| 145 | TensorInfo tensorInfo(TensorShape({3, 4}), DataType::Float32); |
| 146 | input1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 147 | input2->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 148 | add->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 149 | |
| 150 | // optimize the network |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 151 | IOptimizedNetworkPtr optNet = Optimize(*net, defaultBackends, runtime->GetDeviceSpec()); |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 152 | |
| 153 | // Loads it into the runtime. |
| 154 | NetworkId netId; |
| 155 | runtime->LoadNetwork(netId, std::move(optNet)); |
| 156 | |
| 157 | // Creates structures for input & output - matching android nn test. |
| 158 | std::vector<float> input1Data |
| 159 | { |
| 160 | 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f |
| 161 | }; |
| 162 | std::vector<float> input2Data |
| 163 | { |
| 164 | 100.f, 200.f, 300.f, 400.f, 500.f, 600.f, 700.f, 800.f, 900.f, 1000.f, 1100.f, 1200.f |
| 165 | }; |
| 166 | std::vector<float> outputData(12); |
| 167 | |
| 168 | InputTensors inputTensors |
| 169 | { |
| 170 | {0,armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), input1Data.data())}, |
| 171 | {1,armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), input2Data.data())} |
| 172 | }; |
| 173 | OutputTensors outputTensors |
| 174 | { |
| 175 | {0,armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), outputData.data())} |
| 176 | }; |
| 177 | |
| 178 | // Does the inference. |
| 179 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 180 | |
| 181 | // Checks the results |
| 182 | BOOST_TEST(outputData[0] == 101); |
| 183 | BOOST_TEST(outputData[1] == 202); |
| 184 | BOOST_TEST(outputData[2] == 303); |
| 185 | BOOST_TEST(outputData[3] == 404); |
| 186 | BOOST_TEST(outputData[4] == 505); |
| 187 | BOOST_TEST(outputData[5] == 606); |
| 188 | BOOST_TEST(outputData[6] == 707); |
| 189 | BOOST_TEST(outputData[7] == 808); |
| 190 | BOOST_TEST(outputData[8] == 909); |
| 191 | BOOST_TEST(outputData[9] == 1010); |
| 192 | BOOST_TEST(outputData[10] == 1111); |
| 193 | BOOST_TEST(outputData[11] == 1212); |
| 194 | } |
| 195 | |
| 196 | BOOST_AUTO_TEST_CASE(MultipleOutputs) |
| 197 | { |
| 198 | using namespace armnn; |
| 199 | |
| 200 | // Create runtime in which test will run |
| 201 | armnn::IRuntime::CreationOptions options; |
| 202 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 203 | |
| 204 | // Builds up the structure of the network. |
| 205 | INetworkPtr net(INetwork::Create()); |
| 206 | |
| 207 | IConnectableLayer* input = net->AddInputLayer(0); |
| 208 | |
| 209 | // ReLu1 |
| 210 | ActivationDescriptor activation1Descriptor; |
| 211 | activation1Descriptor.m_Function = ActivationFunction::BoundedReLu; |
| 212 | activation1Descriptor.m_A = 1.f; |
| 213 | activation1Descriptor.m_B = -1.f; |
| 214 | IConnectableLayer* activation1 = net->AddActivationLayer(activation1Descriptor); |
| 215 | |
| 216 | // ReLu6 |
| 217 | ActivationDescriptor activation2Descriptor; |
| 218 | activation2Descriptor.m_Function = ActivationFunction::BoundedReLu; |
| 219 | activation2Descriptor.m_A = 6.0f; |
| 220 | IConnectableLayer* activation2 = net->AddActivationLayer(activation2Descriptor); |
| 221 | |
| 222 | // BoundedReLu(min=2, max=5) |
| 223 | ActivationDescriptor activation3Descriptor; |
| 224 | activation3Descriptor.m_Function = ActivationFunction::BoundedReLu; |
| 225 | activation3Descriptor.m_A = 5.0f; |
| 226 | activation3Descriptor.m_B = 2.0f; |
| 227 | IConnectableLayer* activation3 = net->AddActivationLayer(activation3Descriptor); |
| 228 | |
| 229 | IConnectableLayer* output1 = net->AddOutputLayer(0); |
| 230 | IConnectableLayer* output2 = net->AddOutputLayer(1); |
| 231 | IConnectableLayer* output3 = net->AddOutputLayer(2); |
| 232 | |
| 233 | input->GetOutputSlot(0).Connect(activation1->GetInputSlot(0)); |
| 234 | input->GetOutputSlot(0).Connect(activation2->GetInputSlot(0)); |
| 235 | input->GetOutputSlot(0).Connect(activation3->GetInputSlot(0)); |
| 236 | |
| 237 | activation1->GetOutputSlot(0).Connect(output1->GetInputSlot(0)); |
| 238 | activation2->GetOutputSlot(0).Connect(output2->GetInputSlot(0)); |
| 239 | activation3->GetOutputSlot(0).Connect(output3->GetInputSlot(0)); |
| 240 | |
| 241 | // Sets the tensors in the network. |
| 242 | TensorInfo tensorInfo(TensorShape({ 10 }), DataType::Float32); |
| 243 | input->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 244 | activation1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 245 | activation2->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 246 | activation3->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 247 | |
| 248 | // optimize the network |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 249 | IOptimizedNetworkPtr optNet = Optimize(*net, defaultBackends, runtime->GetDeviceSpec()); |
Aron Virginas-Tar | 7010400 | 2018-10-24 15:33:28 +0100 | [diff] [blame] | 250 | |
| 251 | // Loads it into the runtime. |
| 252 | NetworkId netId; |
| 253 | runtime->LoadNetwork(netId, std::move(optNet)); |
| 254 | |
| 255 | // Creates structures for input & output. |
| 256 | const std::vector<float> inputData{ 3.f, 5.f, 2.f, 3.f, 7.f, 0.f, -2.f, -1.f, 3.f, 3.f }; |
| 257 | |
| 258 | std::vector<float> output1Data(inputData.size()); |
| 259 | std::vector<float> output2Data(inputData.size()); |
| 260 | std::vector<float> output3Data(inputData.size()); |
| 261 | |
| 262 | InputTensors inputTensors |
| 263 | { |
| 264 | {0,armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), inputData.data())} |
| 265 | }; |
| 266 | OutputTensors outputTensors |
| 267 | { |
| 268 | {0,armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), output1Data.data())}, |
| 269 | {1,armnn::Tensor(runtime->GetOutputTensorInfo(netId, 1), output2Data.data())}, |
| 270 | {2,armnn::Tensor(runtime->GetOutputTensorInfo(netId, 2), output3Data.data())} |
| 271 | }; |
| 272 | |
| 273 | // Does the inference. |
| 274 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 275 | |
| 276 | // Checks the results. |
| 277 | BOOST_TEST(output1Data == std::vector<float>({ 1.f, 1.f, 1.f, 1.f, 1.f, 0.f, -1.f, -1.f, 1.f, 1.f })); // ReLu1 |
| 278 | BOOST_TEST(output2Data == std::vector<float>({ 3.f, 5.f, 2.f, 3.f, 6.f, 0.f, 0.f, 0.f, 3.f, 3.f })); // ReLu6 |
| 279 | BOOST_TEST(output3Data == std::vector<float>({ 3.f, 5.f, 2.f, 3.f, 5.f, 2.f, 2.f, 2.f, 3.f, 3.f })); // [2, 5] |
| 280 | } |
| 281 | |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 282 | BOOST_AUTO_TEST_CASE(TrivialMin) |
| 283 | { |
| 284 | using namespace armnn; |
| 285 | |
| 286 | // Create runtime in which test will run |
| 287 | armnn::IRuntime::CreationOptions options; |
| 288 | armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options)); |
| 289 | |
| 290 | // Builds up the structure of the network. |
| 291 | armnn::INetworkPtr net(INetwork::Create()); |
| 292 | |
| 293 | IConnectableLayer* input1 = net->AddInputLayer(0); |
| 294 | IConnectableLayer* input2 = net->AddInputLayer(1); |
| 295 | IConnectableLayer* min = net->AddMinimumLayer(); |
| 296 | IConnectableLayer* output = net->AddOutputLayer(0); |
| 297 | |
| 298 | input1->GetOutputSlot(0).Connect(min->GetInputSlot(0)); |
| 299 | input2->GetOutputSlot(0).Connect(min->GetInputSlot(1)); |
| 300 | min->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 301 | |
| 302 | // Sets the tensors in the network. |
| 303 | TensorInfo tensorInfo(TensorShape({1, 1, 1, 4}), DataType::Float32); |
| 304 | input1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 305 | input2->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 306 | min->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 307 | |
| 308 | // optimize the network |
| 309 | IOptimizedNetworkPtr optNet = Optimize(*net, defaultBackends, runtime->GetDeviceSpec()); |
| 310 | |
| 311 | // Loads it into the runtime. |
| 312 | NetworkId netId; |
| 313 | runtime->LoadNetwork(netId, std::move(optNet)); |
| 314 | |
| 315 | // Creates structures for input & output - matching android nn test. |
| 316 | std::vector<float> input1Data |
| 317 | { |
| 318 | 1.0f, 2.0f, 3.0f, 4.0f |
| 319 | }; |
| 320 | std::vector<float> input2Data |
| 321 | { |
| 322 | 2.0f, 1.0f, 5.0f, 2.0f |
| 323 | }; |
| 324 | std::vector<float> outputData(4); |
| 325 | |
| 326 | InputTensors inputTensors |
| 327 | { |
| 328 | {0,armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), input1Data.data())}, |
| 329 | {1,armnn::ConstTensor(runtime->GetInputTensorInfo(netId, 0), input2Data.data())} |
| 330 | }; |
| 331 | OutputTensors outputTensors |
| 332 | { |
| 333 | {0,armnn::Tensor(runtime->GetOutputTensorInfo(netId, 0), outputData.data())} |
| 334 | }; |
| 335 | |
| 336 | // Does the inference. |
| 337 | runtime->EnqueueWorkload(netId, inputTensors, outputTensors); |
| 338 | |
| 339 | // Checks the results |
| 340 | BOOST_TEST(outputData[0] == 1); |
| 341 | BOOST_TEST(outputData[1] == 1); |
| 342 | BOOST_TEST(outputData[2] == 3); |
| 343 | BOOST_TEST(outputData[3] == 2); |
| 344 | } |
| 345 | |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 346 | BOOST_AUTO_TEST_CASE(RefEqualSimpleEndToEndTest) |
| 347 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 348 | const std::vector<uint8_t> expectedOutput({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 349 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 350 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 351 | ComparisonSimpleEndToEnd<armnn::DataType::Float32>(defaultBackends, |
| 352 | ComparisonOperation::Equal, |
| 353 | expectedOutput); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 354 | } |
| 355 | |
| 356 | BOOST_AUTO_TEST_CASE(RefGreaterSimpleEndToEndTest) |
| 357 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 358 | const std::vector<uint8_t> expectedOutput({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 359 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 360 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 361 | ComparisonSimpleEndToEnd<armnn::DataType::Float32>(defaultBackends, |
| 362 | ComparisonOperation::Greater, |
| 363 | expectedOutput); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 364 | } |
| 365 | |
| 366 | BOOST_AUTO_TEST_CASE(RefEqualSimpleEndToEndUint8Test) |
| 367 | { |
| 368 | const std::vector<uint8_t> expectedOutput({ 1, 1, 1, 1, 0, 0, 0, 0, |
| 369 | 0, 0, 0, 0, 1, 1, 1, 1 }); |
| 370 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 371 | ComparisonSimpleEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, |
| 372 | ComparisonOperation::Equal, |
| 373 | expectedOutput); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 374 | } |
| 375 | |
| 376 | BOOST_AUTO_TEST_CASE(RefGreaterSimpleEndToEndUint8Test) |
| 377 | { |
| 378 | const std::vector<uint8_t> expectedOutput({ 0, 0, 0, 0, 1, 1, 1, 1, |
| 379 | 0, 0, 0, 0, 0, 0, 0, 0 }); |
| 380 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 381 | ComparisonSimpleEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, |
| 382 | ComparisonOperation::Greater, |
| 383 | expectedOutput); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 384 | } |
| 385 | |
| 386 | BOOST_AUTO_TEST_CASE(RefEqualBroadcastEndToEndTest) |
| 387 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 388 | const std::vector<uint8_t> expectedOutput({ 1, 0, 1, 1, 0, 0, |
| 389 | 0, 0, 0, 0, 0, 0 }); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 390 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 391 | ComparisonBroadcastEndToEnd<armnn::DataType::Float32>(defaultBackends, |
| 392 | ComparisonOperation::Equal, |
| 393 | expectedOutput); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 394 | } |
| 395 | |
| 396 | BOOST_AUTO_TEST_CASE(RefGreaterBroadcastEndToEndTest) |
| 397 | { |
kevmay01 | 2b4d88e | 2019-01-24 14:05:09 +0000 | [diff] [blame] | 398 | const std::vector<uint8_t> expectedOutput({ 0, 1, 0, 0, 0, 1, |
| 399 | 1, 1, 1, 1, 1, 1 }); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 400 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 401 | ComparisonBroadcastEndToEnd<armnn::DataType::Float32>(defaultBackends, |
| 402 | ComparisonOperation::Greater, |
| 403 | expectedOutput); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 404 | } |
| 405 | |
| 406 | BOOST_AUTO_TEST_CASE(RefEqualBroadcastEndToEndUint8Test) |
| 407 | { |
| 408 | const std::vector<uint8_t > expectedOutput({ 1, 0, 1, 1, 0, 0, |
| 409 | 0, 0, 0, 0, 0, 0 }); |
| 410 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 411 | ComparisonBroadcastEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, |
| 412 | ComparisonOperation::Equal, |
| 413 | expectedOutput); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 414 | } |
| 415 | |
| 416 | BOOST_AUTO_TEST_CASE(RefGreaterBroadcastEndToEndUint8Test) |
| 417 | { |
| 418 | const std::vector<uint8_t> expectedOutput({ 0, 1, 0, 0, 0, 1, |
| 419 | 1, 1, 1, 1, 1, 1 }); |
| 420 | |
Aron Virginas-Tar | 77bfb5e | 2019-10-16 17:45:38 +0100 | [diff] [blame] | 421 | ComparisonBroadcastEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, |
| 422 | ComparisonOperation::Greater, |
| 423 | expectedOutput); |
FrancisMurtagh | 2262bbd | 2018-12-20 16:09:45 +0000 | [diff] [blame] | 424 | } |
Éanna Ó Catháin | 20e5880 | 2018-12-04 10:29:06 +0000 | [diff] [blame] | 425 | |
Francis Murtagh | e24e3cd | 2019-06-25 14:41:55 +0100 | [diff] [blame] | 426 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndFloat32NHWCTest) |
| 427 | { |
| 428 | BatchToSpaceNdEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NHWC); |
| 429 | } |
| 430 | |
| 431 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndUint8NHWCTest) |
| 432 | { |
| 433 | BatchToSpaceNdEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NHWC); |
| 434 | } |
| 435 | |
| 436 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndQSymm16NHWCTest) |
| 437 | { |
| 438 | BatchToSpaceNdEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NHWC); |
| 439 | } |
| 440 | |
| 441 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndFloat32NCHWTest) |
| 442 | { |
| 443 | BatchToSpaceNdEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NCHW); |
| 444 | } |
| 445 | |
| 446 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndUint8NCHWTest) |
| 447 | { |
| 448 | BatchToSpaceNdEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NCHW); |
| 449 | } |
| 450 | |
| 451 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndQSymm16NCHWTest) |
| 452 | { |
| 453 | BatchToSpaceNdEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NCHW); |
| 454 | } |
| 455 | |
| 456 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndComplexFloat32NHWCTest) |
| 457 | { |
| 458 | BatchToSpaceNdComplexEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NHWC); |
| 459 | } |
| 460 | |
| 461 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndComplexUint8NHWCTest) |
| 462 | { |
| 463 | BatchToSpaceNdComplexEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NHWC); |
| 464 | } |
| 465 | |
| 466 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndComplexQSymm16NHWCTest) |
| 467 | { |
| 468 | BatchToSpaceNdComplexEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NHWC); |
| 469 | } |
| 470 | |
| 471 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndComplexFloat32NCHWTest) |
| 472 | { |
| 473 | BatchToSpaceNdComplexEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NCHW); |
| 474 | } |
| 475 | |
| 476 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndComplexUint8NCHWTest) |
| 477 | { |
| 478 | BatchToSpaceNdComplexEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NCHW); |
| 479 | } |
| 480 | |
| 481 | BOOST_AUTO_TEST_CASE(RefBatchToSpaceNdEndToEndComplexQSymm16NCHWTest) |
| 482 | { |
| 483 | BatchToSpaceNdComplexEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NCHW); |
| 484 | } |
| 485 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 486 | BOOST_AUTO_TEST_CASE(RefConcatEndToEndDim0Test) |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 487 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 488 | ConcatDim0EndToEnd<armnn::DataType::Float32>(defaultBackends); |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 489 | } |
| 490 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 491 | BOOST_AUTO_TEST_CASE(RefConcatEndToEndDim0Uint8Test) |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 492 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 493 | ConcatDim0EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 494 | } |
| 495 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 496 | BOOST_AUTO_TEST_CASE(RefConcatEndToEndDim1Test) |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 497 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 498 | ConcatDim1EndToEnd<armnn::DataType::Float32>(defaultBackends); |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 499 | } |
| 500 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 501 | BOOST_AUTO_TEST_CASE(RefConcatEndToEndDim1Uint8Test) |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 502 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 503 | ConcatDim1EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 504 | } |
| 505 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 506 | BOOST_AUTO_TEST_CASE(RefConcatEndToEndDim2Test) |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 507 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 508 | ConcatDim2EndToEnd<armnn::DataType::Float32>(defaultBackends); |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 509 | } |
| 510 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 511 | BOOST_AUTO_TEST_CASE(RefConcatEndToEndDim2Uint8Test) |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 512 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 513 | ConcatDim2EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 514 | } |
| 515 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 516 | BOOST_AUTO_TEST_CASE(RefConcatEndToEndDim3Test) |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 517 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 518 | ConcatDim3EndToEnd<armnn::DataType::Float32>(defaultBackends); |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 519 | } |
| 520 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 521 | BOOST_AUTO_TEST_CASE(RefConcatEndToEndDim3Uint8Test) |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 522 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 523 | ConcatDim3EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
narpra01 | b9546cf | 2018-11-20 15:21:28 +0000 | [diff] [blame] | 524 | } |
| 525 | |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 526 | BOOST_AUTO_TEST_CASE(RefGatherFloatTest) |
| 527 | { |
| 528 | GatherEndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 529 | } |
| 530 | |
| 531 | BOOST_AUTO_TEST_CASE(RefGatherUint8Test) |
| 532 | { |
| 533 | GatherEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 534 | } |
| 535 | |
Ellen Norris-Thompson | e0dbedf | 2019-06-24 09:23:38 +0100 | [diff] [blame] | 536 | BOOST_AUTO_TEST_CASE(RefGatherInt16Test) |
| 537 | { |
| 538 | GatherEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends); |
| 539 | } |
| 540 | |
narpra01 | db2b160 | 2019-01-23 15:23:11 +0000 | [diff] [blame] | 541 | BOOST_AUTO_TEST_CASE(RefGatherMultiDimFloatTest) |
| 542 | { |
| 543 | GatherMultiDimEndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 544 | } |
| 545 | |
| 546 | BOOST_AUTO_TEST_CASE(RefGatherMultiDimUint8Test) |
| 547 | { |
| 548 | GatherMultiDimEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 549 | } |
| 550 | |
Ellen Norris-Thompson | e0dbedf | 2019-06-24 09:23:38 +0100 | [diff] [blame] | 551 | BOOST_AUTO_TEST_CASE(RefGatherMultiDimInt16Test) |
| 552 | { |
| 553 | GatherMultiDimEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends); |
| 554 | } |
| 555 | |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 556 | // DepthToSpace |
| 557 | BOOST_AUTO_TEST_CASE(DephtToSpaceEndToEndNchwFloat32) |
| 558 | { |
| 559 | DepthToSpaceEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NCHW); |
| 560 | } |
| 561 | |
| 562 | BOOST_AUTO_TEST_CASE(DephtToSpaceEndToEndNchwFloat16) |
| 563 | { |
| 564 | DepthToSpaceEndToEnd<armnn::DataType::Float16>(defaultBackends, armnn::DataLayout::NCHW); |
| 565 | } |
| 566 | |
| 567 | BOOST_AUTO_TEST_CASE(DephtToSpaceEndToEndNchwUint8) |
| 568 | { |
| 569 | DepthToSpaceEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NCHW); |
| 570 | } |
| 571 | |
| 572 | BOOST_AUTO_TEST_CASE(DephtToSpaceEndToEndNchwInt16) |
| 573 | { |
| 574 | DepthToSpaceEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NCHW); |
| 575 | } |
| 576 | |
| 577 | BOOST_AUTO_TEST_CASE(DephtToSpaceEndToEndNhwcFloat32) |
| 578 | { |
| 579 | DepthToSpaceEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NHWC); |
| 580 | } |
| 581 | |
| 582 | BOOST_AUTO_TEST_CASE(DephtToSpaceEndToEndNhwcFloat16) |
| 583 | { |
| 584 | DepthToSpaceEndToEnd<armnn::DataType::Float16>(defaultBackends, armnn::DataLayout::NHWC); |
| 585 | } |
| 586 | |
| 587 | BOOST_AUTO_TEST_CASE(DephtToSpaceEndToEndNhwcUint8) |
| 588 | { |
| 589 | DepthToSpaceEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NHWC); |
| 590 | } |
| 591 | |
| 592 | BOOST_AUTO_TEST_CASE(DephtToSpaceEndToEndNhwcInt16) |
| 593 | { |
| 594 | DepthToSpaceEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NHWC); |
| 595 | } |
| 596 | |
| 597 | // Dequantize |
Narumol Prangnawarat | 8c7324d | 2019-05-31 16:42:11 +0100 | [diff] [blame] | 598 | BOOST_AUTO_TEST_CASE(DequantizeEndToEndSimpleTest) |
| 599 | { |
| 600 | DequantizeEndToEndSimple<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 601 | } |
| 602 | |
| 603 | BOOST_AUTO_TEST_CASE(DequantizeEndToEndOffsetTest) |
| 604 | { |
| 605 | DequantizeEndToEndOffset<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 606 | } |
| 607 | |
Narumol Prangnawarat | b6441e4 | 2019-06-04 11:22:00 +0100 | [diff] [blame] | 608 | BOOST_AUTO_TEST_CASE(DequantizeEndToEndSimpleInt16Test) |
| 609 | { |
| 610 | DequantizeEndToEndSimple<armnn::DataType::QuantisedSymm16>(defaultBackends); |
| 611 | } |
| 612 | |
| 613 | BOOST_AUTO_TEST_CASE(DequantizeEndToEndOffsetInt16Test) |
| 614 | { |
| 615 | DequantizeEndToEndOffset<armnn::DataType::QuantisedSymm16>(defaultBackends); |
| 616 | } |
| 617 | |
Narumol Prangnawarat | 6d302bf | 2019-02-04 11:46:26 +0000 | [diff] [blame] | 618 | BOOST_AUTO_TEST_CASE(RefDetectionPostProcessRegularNmsTest) |
| 619 | { |
| 620 | std::vector<float> boxEncodings({ |
| 621 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 622 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 623 | 0.0f, -1.0f, 0.0f, 0.0f, |
| 624 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 625 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 626 | 0.0f, 0.0f, 0.0f, 0.0f |
| 627 | }); |
| 628 | std::vector<float> scores({ |
| 629 | 0.0f, 0.9f, 0.8f, |
| 630 | 0.0f, 0.75f, 0.72f, |
| 631 | 0.0f, 0.6f, 0.5f, |
| 632 | 0.0f, 0.93f, 0.95f, |
| 633 | 0.0f, 0.5f, 0.4f, |
| 634 | 0.0f, 0.3f, 0.2f |
| 635 | }); |
| 636 | std::vector<float> anchors({ |
| 637 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 638 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 639 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 640 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 641 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 642 | 0.5f, 100.5f, 1.0f, 1.0f |
| 643 | }); |
| 644 | DetectionPostProcessRegularNmsEndToEnd<armnn::DataType::Float32>(defaultBackends, boxEncodings, scores, anchors); |
| 645 | } |
| 646 | |
| 647 | inline void QuantizeData(uint8_t* quant, const float* dequant, const TensorInfo& info) |
| 648 | { |
| 649 | for (size_t i = 0; i < info.GetNumElements(); i++) |
| 650 | { |
| 651 | quant[i] = armnn::Quantize<uint8_t>(dequant[i], info.GetQuantizationScale(), info.GetQuantizationOffset()); |
| 652 | } |
| 653 | } |
| 654 | |
| 655 | BOOST_AUTO_TEST_CASE(RefDetectionPostProcessRegularNmsUint8Test) |
| 656 | { |
| 657 | armnn::TensorInfo boxEncodingsInfo({ 1, 6, 4 }, armnn::DataType::Float32); |
| 658 | armnn::TensorInfo scoresInfo({ 1, 6, 3 }, armnn::DataType::Float32); |
| 659 | armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32); |
| 660 | |
| 661 | boxEncodingsInfo.SetQuantizationScale(1.0f); |
| 662 | boxEncodingsInfo.SetQuantizationOffset(1); |
| 663 | scoresInfo.SetQuantizationScale(0.01f); |
| 664 | scoresInfo.SetQuantizationOffset(0); |
| 665 | anchorsInfo.SetQuantizationScale(0.5f); |
| 666 | anchorsInfo.SetQuantizationOffset(0); |
| 667 | |
| 668 | std::vector<float> boxEncodings({ |
| 669 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 670 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 671 | 0.0f, -1.0f, 0.0f, 0.0f, |
| 672 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 673 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 674 | 0.0f, 0.0f, 0.0f, 0.0f |
| 675 | }); |
| 676 | std::vector<float> scores({ |
| 677 | 0.0f, 0.9f, 0.8f, |
| 678 | 0.0f, 0.75f, 0.72f, |
| 679 | 0.0f, 0.6f, 0.5f, |
| 680 | 0.0f, 0.93f, 0.95f, |
| 681 | 0.0f, 0.5f, 0.4f, |
| 682 | 0.0f, 0.3f, 0.2f |
| 683 | }); |
| 684 | std::vector<float> anchors({ |
| 685 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 686 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 687 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 688 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 689 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 690 | 0.5f, 100.5f, 1.0f, 1.0f |
| 691 | }); |
| 692 | |
| 693 | std::vector<uint8_t> qBoxEncodings(boxEncodings.size(), 0); |
| 694 | std::vector<uint8_t> qScores(scores.size(), 0); |
| 695 | std::vector<uint8_t> qAnchors(anchors.size(), 0); |
| 696 | QuantizeData(qBoxEncodings.data(), boxEncodings.data(), boxEncodingsInfo); |
| 697 | QuantizeData(qScores.data(), scores.data(), scoresInfo); |
| 698 | QuantizeData(qAnchors.data(), anchors.data(), anchorsInfo); |
| 699 | DetectionPostProcessRegularNmsEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, qBoxEncodings, |
| 700 | qScores, qAnchors, |
| 701 | 1.0f, 1, 0.01f, 0, 0.5f, 0); |
| 702 | } |
| 703 | |
| 704 | BOOST_AUTO_TEST_CASE(RefDetectionPostProcessFastNmsTest) |
| 705 | { |
| 706 | std::vector<float> boxEncodings({ |
| 707 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 708 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 709 | 0.0f, -1.0f, 0.0f, 0.0f, |
| 710 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 711 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 712 | 0.0f, 0.0f, 0.0f, 0.0f |
| 713 | }); |
| 714 | std::vector<float> scores({ |
| 715 | 0.0f, 0.9f, 0.8f, |
| 716 | 0.0f, 0.75f, 0.72f, |
| 717 | 0.0f, 0.6f, 0.5f, |
| 718 | 0.0f, 0.93f, 0.95f, |
| 719 | 0.0f, 0.5f, 0.4f, |
| 720 | 0.0f, 0.3f, 0.2f |
| 721 | }); |
| 722 | std::vector<float> anchors({ |
| 723 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 724 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 725 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 726 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 727 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 728 | 0.5f, 100.5f, 1.0f, 1.0f |
| 729 | }); |
| 730 | DetectionPostProcessFastNmsEndToEnd<armnn::DataType::Float32>(defaultBackends, boxEncodings, scores, anchors); |
| 731 | } |
| 732 | |
| 733 | BOOST_AUTO_TEST_CASE(RefDetectionPostProcessFastNmsUint8Test) |
| 734 | { |
| 735 | armnn::TensorInfo boxEncodingsInfo({ 1, 6, 4 }, armnn::DataType::Float32); |
| 736 | armnn::TensorInfo scoresInfo({ 1, 6, 3 }, armnn::DataType::Float32); |
| 737 | armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32); |
| 738 | |
| 739 | boxEncodingsInfo.SetQuantizationScale(1.0f); |
| 740 | boxEncodingsInfo.SetQuantizationOffset(1); |
| 741 | scoresInfo.SetQuantizationScale(0.01f); |
| 742 | scoresInfo.SetQuantizationOffset(0); |
| 743 | anchorsInfo.SetQuantizationScale(0.5f); |
| 744 | anchorsInfo.SetQuantizationOffset(0); |
| 745 | |
| 746 | std::vector<float> boxEncodings({ |
| 747 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 748 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 749 | 0.0f, -1.0f, 0.0f, 0.0f, |
| 750 | 0.0f, 0.0f, 0.0f, 0.0f, |
| 751 | 0.0f, 1.0f, 0.0f, 0.0f, |
| 752 | 0.0f, 0.0f, 0.0f, 0.0f |
| 753 | }); |
| 754 | std::vector<float> scores({ |
| 755 | 0.0f, 0.9f, 0.8f, |
| 756 | 0.0f, 0.75f, 0.72f, |
| 757 | 0.0f, 0.6f, 0.5f, |
| 758 | 0.0f, 0.93f, 0.95f, |
| 759 | 0.0f, 0.5f, 0.4f, |
| 760 | 0.0f, 0.3f, 0.2f |
| 761 | }); |
| 762 | std::vector<float> anchors({ |
| 763 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 764 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 765 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 766 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 767 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 768 | 0.5f, 100.5f, 1.0f, 1.0f |
| 769 | }); |
| 770 | |
| 771 | std::vector<uint8_t> qBoxEncodings(boxEncodings.size(), 0); |
| 772 | std::vector<uint8_t> qScores(scores.size(), 0); |
| 773 | std::vector<uint8_t> qAnchors(anchors.size(), 0); |
| 774 | QuantizeData(qBoxEncodings.data(), boxEncodings.data(), boxEncodingsInfo); |
| 775 | QuantizeData(qScores.data(), scores.data(), scoresInfo); |
| 776 | QuantizeData(qAnchors.data(), anchors.data(), anchorsInfo); |
| 777 | DetectionPostProcessFastNmsEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, qBoxEncodings, |
| 778 | qScores, qAnchors, |
| 779 | 1.0f, 1, 0.01f, 0, 0.5f, 0); |
| 780 | } |
| 781 | |
Sadik Armagan | 20bea00 | 2019-10-16 09:29:38 +0100 | [diff] [blame] | 782 | // LogSoftmax |
| 783 | BOOST_AUTO_TEST_CASE(RefLogSoftmaxEndToEndTest) |
| 784 | { |
| 785 | LogSoftmaxEndToEndTest(defaultBackends); |
| 786 | } |
| 787 | |
Nikhil Raj | 747f586 | 2019-07-19 15:15:23 +0100 | [diff] [blame] | 788 | BOOST_AUTO_TEST_CASE(RefPreluEndToEndTestFloat32) |
| 789 | { |
| 790 | PreluEndToEndNegativeTest<armnn::DataType::Float32>(defaultBackends); |
| 791 | } |
| 792 | |
| 793 | BOOST_AUTO_TEST_CASE(RefPreluEndToEndTestUint8) |
| 794 | { |
| 795 | PreluEndToEndPositiveTest<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 796 | } |
| 797 | |
| 798 | BOOST_AUTO_TEST_CASE(RefPreluEndToEndTestQSymm16) |
| 799 | { |
| 800 | PreluEndToEndPositiveTest<armnn::DataType::QuantisedSymm16>(defaultBackends); |
| 801 | } |
| 802 | |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 803 | BOOST_AUTO_TEST_CASE(RefSpaceToDepthNhwcEndToEndTest1) |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 804 | { |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 805 | SpaceToDepthNhwcEndToEndTest1(defaultBackends); |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 806 | } |
| 807 | |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 808 | BOOST_AUTO_TEST_CASE(RefSpaceToDepthNchwEndToEndTest1) |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 809 | { |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 810 | SpaceToDepthNchwEndToEndTest1(defaultBackends); |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 811 | |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 812 | } |
| 813 | |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 814 | BOOST_AUTO_TEST_CASE(RefSpaceToDepthNhwcEndToEndTest2) |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 815 | { |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 816 | SpaceToDepthNhwcEndToEndTest2(defaultBackends); |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 817 | } |
| 818 | |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 819 | BOOST_AUTO_TEST_CASE(RefSpaceToDepthNchwEndToEndTest2) |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 820 | { |
Aron Virginas-Tar | f97f6da | 2019-10-01 18:35:44 +0100 | [diff] [blame] | 821 | SpaceToDepthNchwEndToEndTest2(defaultBackends); |
Keith Davis | 9515c7e | 2019-06-21 09:33:59 +0100 | [diff] [blame] | 822 | } |
| 823 | |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 824 | BOOST_AUTO_TEST_CASE(RefSplitter1dEndToEndTest) |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 825 | { |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 826 | Splitter1dEndToEnd<armnn::DataType::Float32>(defaultBackends); |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 827 | } |
| 828 | |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 829 | BOOST_AUTO_TEST_CASE(RefSplitter1dEndToEndUint8Test) |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 830 | { |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 831 | Splitter1dEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 832 | } |
| 833 | |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 834 | BOOST_AUTO_TEST_CASE(RefSplitter2dDim0EndToEndTest) |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 835 | { |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 836 | Splitter2dDim0EndToEnd<armnn::DataType::Float32>(defaultBackends); |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 837 | } |
| 838 | |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 839 | BOOST_AUTO_TEST_CASE(RefSplitter2dDim1EndToEndTest) |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 840 | { |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 841 | Splitter2dDim1EndToEnd<armnn::DataType::Float32>(defaultBackends); |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 842 | } |
| 843 | |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 844 | BOOST_AUTO_TEST_CASE(RefSplitter2dDim0EndToEndUint8Test) |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 845 | { |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 846 | Splitter2dDim0EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 847 | } |
| 848 | |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 849 | BOOST_AUTO_TEST_CASE(RefSplitter2dDim1EndToEndUint8Test) |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 850 | { |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 851 | Splitter2dDim1EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 852 | } |
| 853 | |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 854 | BOOST_AUTO_TEST_CASE(RefSplitter3dDim0EndToEndTest) |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 855 | { |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 856 | Splitter3dDim0EndToEnd<armnn::DataType::Float32>(defaultBackends); |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 857 | } |
| 858 | |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 859 | BOOST_AUTO_TEST_CASE(RefSplitter3dDim1EndToEndTest) |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 860 | { |
Narumol Prangnawarat | 0f072ab | 2019-05-29 14:12:46 +0100 | [diff] [blame] | 861 | Splitter3dDim1EndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 862 | } |
| 863 | |
| 864 | BOOST_AUTO_TEST_CASE(RefSplitter3dDim2EndToEndTest) |
| 865 | { |
| 866 | Splitter3dDim2EndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 867 | } |
| 868 | |
| 869 | BOOST_AUTO_TEST_CASE(RefSplitter3dDim0EndToEndUint8Test) |
| 870 | { |
| 871 | Splitter3dDim0EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 872 | } |
| 873 | |
| 874 | BOOST_AUTO_TEST_CASE(RefSplitter3dDim1EndToEndUint8Test) |
| 875 | { |
| 876 | Splitter3dDim1EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 877 | } |
| 878 | |
| 879 | BOOST_AUTO_TEST_CASE(RefSplitter3dDim2EndToEndUint8Test) |
| 880 | { |
| 881 | Splitter3dDim2EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 882 | } |
| 883 | |
| 884 | BOOST_AUTO_TEST_CASE(RefSplitter4dDim0EndToEndTest) |
| 885 | { |
| 886 | Splitter4dDim0EndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 887 | } |
| 888 | |
| 889 | BOOST_AUTO_TEST_CASE(RefSplitter4dDim1EndToEndTest) |
| 890 | { |
| 891 | Splitter4dDim1EndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 892 | } |
| 893 | |
| 894 | BOOST_AUTO_TEST_CASE(RefSplitter4dDim2EndToEndTest) |
| 895 | { |
| 896 | Splitter4dDim2EndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 897 | } |
| 898 | |
| 899 | BOOST_AUTO_TEST_CASE(RefSplitter4dDim3EndToEndTest) |
| 900 | { |
| 901 | Splitter4dDim3EndToEnd<armnn::DataType::Float32>(defaultBackends); |
| 902 | } |
| 903 | |
| 904 | BOOST_AUTO_TEST_CASE(RefSplitter4dDim0EndToEndUint8Test) |
| 905 | { |
| 906 | Splitter4dDim0EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 907 | } |
| 908 | |
| 909 | BOOST_AUTO_TEST_CASE(RefSplitter4dDim1EndToEndUint8Test) |
| 910 | { |
| 911 | Splitter4dDim1EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 912 | } |
| 913 | |
| 914 | BOOST_AUTO_TEST_CASE(RefSplitter4dDim2EndToEndUint8Test) |
| 915 | { |
| 916 | Splitter4dDim2EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
| 917 | } |
| 918 | |
| 919 | BOOST_AUTO_TEST_CASE(RefSplitter4dDim3EndToEndUint8Test) |
| 920 | { |
| 921 | Splitter4dDim3EndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends); |
Narumol Prangnawarat | 0be4338 | 2019-05-27 11:29:59 +0100 | [diff] [blame] | 922 | } |
| 923 | |
Aron Virginas-Tar | 98180ef | 2019-06-26 15:02:47 +0100 | [diff] [blame] | 924 | // TransposeConvolution2d |
| 925 | BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndFloatNchwTest) |
| 926 | { |
| 927 | TransposeConvolution2dEndToEnd<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 928 | defaultBackends, armnn::DataLayout::NCHW); |
| 929 | } |
| 930 | |
| 931 | BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndUint8NchwTest) |
| 932 | { |
| 933 | TransposeConvolution2dEndToEnd<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 934 | defaultBackends, armnn::DataLayout::NCHW); |
| 935 | } |
| 936 | |
| 937 | BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndInt16NchwTest) |
| 938 | { |
| 939 | TransposeConvolution2dEndToEnd<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 940 | defaultBackends, armnn::DataLayout::NCHW); |
| 941 | } |
| 942 | |
| 943 | BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndFloatNhwcTest) |
| 944 | { |
| 945 | TransposeConvolution2dEndToEnd<armnn::DataType::Float32, armnn::DataType::Float32>( |
| 946 | defaultBackends, armnn::DataLayout::NHWC); |
| 947 | } |
| 948 | |
| 949 | BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndUint8NhwcTest) |
| 950 | { |
| 951 | TransposeConvolution2dEndToEnd<armnn::DataType::QuantisedAsymm8, armnn::DataType::Signed32>( |
| 952 | defaultBackends, armnn::DataLayout::NHWC); |
| 953 | } |
| 954 | |
| 955 | BOOST_AUTO_TEST_CASE(RefTransposeConvolution2dEndToEndInt16NhwcTest) |
| 956 | { |
| 957 | TransposeConvolution2dEndToEnd<armnn::DataType::QuantisedSymm16, armnn::DataType::Signed32>( |
| 958 | defaultBackends, armnn::DataLayout::NHWC); |
| 959 | } |
| 960 | |
Aron Virginas-Tar | fe15eff | 2019-07-01 16:12:58 +0100 | [diff] [blame] | 961 | // Resize Bilinear |
| 962 | BOOST_AUTO_TEST_CASE(RefResizeBilinearEndToEndFloatNchwTest) |
| 963 | { |
| 964 | ResizeBilinearEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NCHW); |
| 965 | } |
| 966 | |
| 967 | BOOST_AUTO_TEST_CASE(RefResizeBilinearEndToEndUint8NchwTest) |
| 968 | { |
| 969 | ResizeBilinearEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NCHW); |
| 970 | } |
| 971 | |
| 972 | BOOST_AUTO_TEST_CASE(RefResizeBilinearEndToEndInt16NchwTest) |
| 973 | { |
| 974 | ResizeBilinearEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NCHW); |
| 975 | } |
| 976 | |
| 977 | BOOST_AUTO_TEST_CASE(RefResizeBilinearEndToEndFloatNhwcTest) |
| 978 | { |
| 979 | ResizeBilinearEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NHWC); |
| 980 | } |
| 981 | |
| 982 | BOOST_AUTO_TEST_CASE(RefResizeBilinearEndToEndUint8NhwcTest) |
| 983 | { |
| 984 | ResizeBilinearEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NHWC); |
| 985 | } |
| 986 | |
| 987 | BOOST_AUTO_TEST_CASE(RefResizeBilinearEndToEndInt16NhwcTest) |
| 988 | { |
| 989 | ResizeBilinearEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NHWC); |
| 990 | } |
| 991 | |
| 992 | // Resize NearestNeighbor |
| 993 | BOOST_AUTO_TEST_CASE(RefResizeNearestNeighborEndToEndFloatNchwTest) |
| 994 | { |
| 995 | ResizeNearestNeighborEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NCHW); |
| 996 | } |
| 997 | |
| 998 | BOOST_AUTO_TEST_CASE(RefResizeNearestNeighborEndToEndUint8NchwTest) |
| 999 | { |
| 1000 | ResizeNearestNeighborEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NCHW); |
| 1001 | } |
| 1002 | |
| 1003 | BOOST_AUTO_TEST_CASE(RefResizeNearestNeighborEndToEndInt16NchwTest) |
| 1004 | { |
| 1005 | ResizeNearestNeighborEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NCHW); |
| 1006 | } |
| 1007 | |
| 1008 | BOOST_AUTO_TEST_CASE(RefResizeNearestNeighborEndToEndFloatNhwcTest) |
| 1009 | { |
| 1010 | ResizeNearestNeighborEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NHWC); |
| 1011 | } |
| 1012 | |
| 1013 | BOOST_AUTO_TEST_CASE(RefResizeNearestNeighborEndToEndUint8NhwcTest) |
| 1014 | { |
| 1015 | ResizeNearestNeighborEndToEnd<armnn::DataType::QuantisedAsymm8>(defaultBackends, armnn::DataLayout::NHWC); |
| 1016 | } |
| 1017 | |
| 1018 | BOOST_AUTO_TEST_CASE(RefResizeNearestNeighborEndToEndInt16NhwcTest) |
| 1019 | { |
| 1020 | ResizeNearestNeighborEndToEnd<armnn::DataType::QuantisedSymm16>(defaultBackends, armnn::DataLayout::NHWC); |
| 1021 | } |
| 1022 | |
Sadik Armagan | 062e0e9 | 2019-10-14 10:31:43 +0100 | [diff] [blame] | 1023 | // InstanceNormalization |
| 1024 | BOOST_AUTO_TEST_CASE(RefInstanceNormalizationNhwcEndToEndTest1) |
| 1025 | { |
| 1026 | InstanceNormalizationNhwcEndToEndTest1(defaultBackends); |
| 1027 | } |
| 1028 | |
| 1029 | BOOST_AUTO_TEST_CASE(RefInstanceNormalizationNchwEndToEndTest1) |
| 1030 | { |
| 1031 | InstanceNormalizationNchwEndToEndTest1(defaultBackends); |
| 1032 | } |
| 1033 | |
| 1034 | BOOST_AUTO_TEST_CASE(RefInstanceNormalizationNhwcEndToEndTest2) |
| 1035 | { |
| 1036 | InstanceNormalizationNhwcEndToEndTest2(defaultBackends); |
| 1037 | } |
| 1038 | |
| 1039 | BOOST_AUTO_TEST_CASE(RefInstanceNormalizationNchwEndToEndTest2) |
| 1040 | { |
| 1041 | InstanceNormalizationNchwEndToEndTest2(defaultBackends); |
| 1042 | } |
| 1043 | |
Ferran Balaguer | dcaa610 | 2019-08-21 13:28:38 +0100 | [diff] [blame] | 1044 | #if !defined(__ANDROID__) |
| 1045 | // Only run these tests on non Android platforms |
| 1046 | BOOST_AUTO_TEST_CASE(RefImportNonAlignedPointerTest) |
| 1047 | { |
David Monahan | 4f1e8e4 | 2019-09-04 09:22:10 +0100 | [diff] [blame] | 1048 | ImportNonAlignedInputPointerTest(defaultBackends); |
| 1049 | } |
| 1050 | |
| 1051 | BOOST_AUTO_TEST_CASE(RefExportNonAlignedPointerTest) |
| 1052 | { |
Ferran Balaguer | 83239f9 | 2019-09-19 11:49:25 +0100 | [diff] [blame] | 1053 | ExportNonAlignedOutputPointerTest(defaultBackends); |
Ferran Balaguer | dcaa610 | 2019-08-21 13:28:38 +0100 | [diff] [blame] | 1054 | } |
| 1055 | |
| 1056 | BOOST_AUTO_TEST_CASE(RefImportAlignedPointerTest) |
| 1057 | { |
| 1058 | ImportAlignedPointerTest(defaultBackends); |
| 1059 | } |
| 1060 | |
Ferran Balaguer | 83239f9 | 2019-09-19 11:49:25 +0100 | [diff] [blame] | 1061 | BOOST_AUTO_TEST_CASE(RefImportOnlyWorkload) |
| 1062 | { |
| 1063 | ImportOnlyWorkload(defaultBackends); |
| 1064 | } |
| 1065 | |
| 1066 | BOOST_AUTO_TEST_CASE(RefExportOnlyWorkload) |
| 1067 | { |
| 1068 | ExportOnlyWorkload(defaultBackends); |
| 1069 | } |
| 1070 | |
| 1071 | BOOST_AUTO_TEST_CASE(RefImportAndExportWorkload) |
| 1072 | { |
| 1073 | ImportAndExportWorkload(defaultBackends); |
| 1074 | } |
| 1075 | |
| 1076 | BOOST_AUTO_TEST_CASE(RefExportOutputWithSeveralOutputSlotConnectionsTest) |
| 1077 | { |
| 1078 | ExportOutputWithSeveralOutputSlotConnectionsTest(defaultBackends); |
| 1079 | } |
| 1080 | |
Ferran Balaguer | dcaa610 | 2019-08-21 13:28:38 +0100 | [diff] [blame] | 1081 | #endif |
| 1082 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1083 | BOOST_AUTO_TEST_SUITE_END() |