Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <armnn/ArmNN.hpp> |
| 7 | #include <armnn/INetwork.hpp> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 8 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 9 | #include "../Serializer.hpp" |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 10 | |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 11 | #include <armnnDeserializer/IDeserializer.hpp> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 12 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 13 | #include <random> |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 14 | #include <sstream> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 15 | #include <vector> |
| 16 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 17 | #include <boost/test/unit_test.hpp> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 18 | #include <flatbuffers/idl.h> |
| 19 | |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 20 | using armnnDeserializer::IDeserializer; |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 21 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 22 | namespace |
| 23 | { |
| 24 | |
| 25 | armnn::INetworkPtr DeserializeNetwork(const std::string& serializerString) |
| 26 | { |
| 27 | std::vector<std::uint8_t> const serializerVector{serializerString.begin(), serializerString.end()}; |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 28 | return IDeserializer::Create()->CreateNetworkFromBinary(serializerVector); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 29 | } |
| 30 | |
| 31 | std::string SerializeNetwork(const armnn::INetwork& network) |
| 32 | { |
| 33 | armnnSerializer::Serializer serializer; |
| 34 | serializer.Serialize(network); |
| 35 | |
| 36 | std::stringstream stream; |
| 37 | serializer.SaveSerializedToStream(stream); |
| 38 | |
| 39 | std::string serializerString{stream.str()}; |
| 40 | return serializerString; |
| 41 | } |
| 42 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 43 | template<typename DataType> |
| 44 | static std::vector<DataType> GenerateRandomData(size_t size) |
| 45 | { |
| 46 | constexpr bool isIntegerType = std::is_integral<DataType>::value; |
| 47 | using Distribution = |
| 48 | typename std::conditional<isIntegerType, |
| 49 | std::uniform_int_distribution<DataType>, |
| 50 | std::uniform_real_distribution<DataType>>::type; |
| 51 | |
| 52 | static constexpr DataType lowerLimit = std::numeric_limits<DataType>::min(); |
| 53 | static constexpr DataType upperLimit = std::numeric_limits<DataType>::max(); |
| 54 | |
| 55 | static Distribution distribution(lowerLimit, upperLimit); |
| 56 | static std::default_random_engine generator; |
| 57 | |
| 58 | std::vector<DataType> randomData(size); |
| 59 | std::generate(randomData.begin(), randomData.end(), []() { return distribution(generator); }); |
| 60 | |
| 61 | return randomData; |
| 62 | } |
| 63 | |
| 64 | void CheckDeserializedNetworkAgainstOriginal(const armnn::INetwork& deserializedNetwork, |
| 65 | const armnn::INetwork& originalNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 66 | const std::vector<armnn::TensorShape>& inputShapes, |
| 67 | const std::vector<armnn::TensorShape>& outputShapes, |
| 68 | const std::vector<armnn::LayerBindingId>& inputBindingIds = {0}, |
| 69 | const std::vector<armnn::LayerBindingId>& outputBindingIds = {0}) |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 70 | { |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 71 | BOOST_CHECK(inputShapes.size() == inputBindingIds.size()); |
| 72 | BOOST_CHECK(outputShapes.size() == outputBindingIds.size()); |
| 73 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 74 | armnn::IRuntime::CreationOptions options; |
| 75 | armnn::IRuntimePtr runtime = armnn::IRuntime::Create(options); |
| 76 | |
| 77 | std::vector<armnn::BackendId> preferredBackends = { armnn::BackendId("CpuRef") }; |
| 78 | |
| 79 | // Optimize original network |
| 80 | armnn::IOptimizedNetworkPtr optimizedOriginalNetwork = |
| 81 | armnn::Optimize(originalNetwork, preferredBackends, runtime->GetDeviceSpec()); |
| 82 | BOOST_CHECK(optimizedOriginalNetwork); |
| 83 | |
| 84 | // Optimize deserialized network |
| 85 | armnn::IOptimizedNetworkPtr optimizedDeserializedNetwork = |
| 86 | armnn::Optimize(deserializedNetwork, preferredBackends, runtime->GetDeviceSpec()); |
| 87 | BOOST_CHECK(optimizedDeserializedNetwork); |
| 88 | |
| 89 | armnn::NetworkId networkId1; |
| 90 | armnn::NetworkId networkId2; |
| 91 | |
| 92 | // Load original and deserialized network |
| 93 | armnn::Status status1 = runtime->LoadNetwork(networkId1, std::move(optimizedOriginalNetwork)); |
| 94 | BOOST_CHECK(status1 == armnn::Status::Success); |
| 95 | |
| 96 | armnn::Status status2 = runtime->LoadNetwork(networkId2, std::move(optimizedDeserializedNetwork)); |
| 97 | BOOST_CHECK(status2 == armnn::Status::Success); |
| 98 | |
| 99 | // Generate some input data |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 100 | armnn::InputTensors inputTensors1; |
| 101 | armnn::InputTensors inputTensors2; |
| 102 | std::vector<std::vector<float>> inputData; |
| 103 | inputData.reserve(inputShapes.size()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 104 | |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 105 | for (unsigned int i = 0; i < inputShapes.size(); i++) |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 106 | { |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 107 | inputData.push_back(GenerateRandomData<float>(inputShapes[i].GetNumElements())); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 108 | |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 109 | inputTensors1.emplace_back( |
| 110 | i, armnn::ConstTensor(runtime->GetInputTensorInfo(networkId1, inputBindingIds[i]), inputData[i].data())); |
| 111 | |
| 112 | inputTensors2.emplace_back( |
| 113 | i, armnn::ConstTensor(runtime->GetInputTensorInfo(networkId2, inputBindingIds[i]), inputData[i].data())); |
| 114 | } |
| 115 | |
| 116 | armnn::OutputTensors outputTensors1; |
| 117 | armnn::OutputTensors outputTensors2; |
| 118 | std::vector<std::vector<float>> outputData1; |
| 119 | std::vector<std::vector<float>> outputData2; |
| 120 | outputData1.reserve(outputShapes.size()); |
| 121 | outputData2.reserve(outputShapes.size()); |
| 122 | |
| 123 | for (unsigned int i = 0; i < outputShapes.size(); i++) |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 124 | { |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 125 | outputData1.emplace_back(outputShapes[i].GetNumElements()); |
| 126 | outputData2.emplace_back(outputShapes[i].GetNumElements()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 127 | |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 128 | outputTensors1.emplace_back( |
| 129 | i, armnn::Tensor(runtime->GetOutputTensorInfo(networkId1, outputBindingIds[i]), outputData1[i].data())); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 130 | |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 131 | outputTensors2.emplace_back( |
| 132 | i, armnn::Tensor(runtime->GetOutputTensorInfo(networkId2, outputBindingIds[i]), outputData2[i].data())); |
| 133 | } |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 134 | |
| 135 | // Run original and deserialized network |
| 136 | runtime->EnqueueWorkload(networkId1, inputTensors1, outputTensors1); |
| 137 | runtime->EnqueueWorkload(networkId2, inputTensors2, outputTensors2); |
| 138 | |
| 139 | // Compare output data |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 140 | for (unsigned int i = 0; i < outputShapes.size(); i++) |
| 141 | { |
| 142 | BOOST_CHECK_EQUAL_COLLECTIONS( |
| 143 | outputData1[i].begin(), outputData1[i].end(), outputData2[i].begin(), outputData2[i].end()); |
| 144 | } |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 145 | } |
| 146 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 147 | } // anonymous namespace |
| 148 | |
| 149 | BOOST_AUTO_TEST_SUITE(SerializerTests) |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 150 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 151 | BOOST_AUTO_TEST_CASE(SerializeAddition) |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 152 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 153 | class VerifyAdditionName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 154 | { |
| 155 | public: |
| 156 | void VisitAdditionLayer(const armnn::IConnectableLayer*, const char* name) override |
| 157 | { |
| 158 | BOOST_TEST(name == "addition"); |
| 159 | } |
| 160 | }; |
| 161 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 162 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 163 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 164 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 165 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 166 | armnn::IConnectableLayer* const additionLayer = network->AddAdditionLayer("addition"); |
| 167 | inputLayer0->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(0)); |
| 168 | inputLayer1->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(1)); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 169 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 170 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 171 | additionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 172 | |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 173 | armnn::TensorShape shape{1U}; |
| 174 | armnn::TensorInfo info(shape, armnn::DataType::Float32); |
| 175 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 176 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 177 | additionLayer->GetOutputSlot(0).SetTensorInfo(info); |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 178 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 179 | armnnSerializer::Serializer serializer; |
| 180 | serializer.Serialize(*network); |
| 181 | |
| 182 | std::stringstream stream; |
| 183 | serializer.SaveSerializedToStream(stream); |
| 184 | BOOST_TEST(stream.str().length() > 0); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 185 | |
| 186 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 187 | BOOST_CHECK(deserializedNetwork); |
| 188 | |
| 189 | VerifyAdditionName nameChecker; |
| 190 | deserializedNetwork->Accept(nameChecker); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 191 | } |
| 192 | |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 193 | BOOST_AUTO_TEST_CASE(SerializeConstant) |
| 194 | { |
| 195 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 196 | |
| 197 | armnn::ConstTensor inputTensor; |
| 198 | |
| 199 | armnn::IConnectableLayer* const inputLayer0 = network->AddConstantLayer(inputTensor, "constant"); |
| 200 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 201 | |
| 202 | inputLayer0->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 203 | |
| 204 | armnnSerializer::Serializer serializer; |
| 205 | serializer.Serialize(*network); |
| 206 | |
| 207 | std::stringstream stream; |
| 208 | serializer.SaveSerializedToStream(stream); |
| 209 | BOOST_TEST(stream.str().length() > 0); |
| 210 | BOOST_TEST(stream.str().find("constant") != stream.str().npos); |
| 211 | } |
| 212 | |
| 213 | BOOST_AUTO_TEST_CASE(SerializeDeserializeConstant) |
| 214 | { |
| 215 | class VerifyConstantName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 216 | { |
| 217 | public: |
| 218 | void VisitConstantLayer(const armnn::IConnectableLayer*, const armnn::ConstTensor&, const char* name) override |
| 219 | { |
| 220 | BOOST_TEST(name == "constant"); |
| 221 | } |
| 222 | }; |
| 223 | |
| 224 | armnn::TensorInfo commonTensorInfo({ 2, 3 }, armnn::DataType::Float32); |
| 225 | |
| 226 | std::vector<float> constantData = GenerateRandomData<float>(commonTensorInfo.GetNumElements()); |
| 227 | armnn::ConstTensor constTensor(commonTensorInfo, constantData); |
| 228 | |
| 229 | // Builds up the structure of the network. |
| 230 | armnn::INetworkPtr net(armnn::INetwork::Create()); |
| 231 | |
| 232 | armnn::IConnectableLayer* input = net->AddInputLayer(0); |
| 233 | armnn::IConnectableLayer* constant = net->AddConstantLayer(constTensor, "constant"); |
| 234 | armnn::IConnectableLayer* add = net->AddAdditionLayer(); |
| 235 | armnn::IConnectableLayer* output = net->AddOutputLayer(0); |
| 236 | |
| 237 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 238 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 239 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 240 | |
| 241 | // Sets the tensors in the network. |
| 242 | input->GetOutputSlot(0).SetTensorInfo(commonTensorInfo); |
| 243 | constant->GetOutputSlot(0).SetTensorInfo(commonTensorInfo); |
| 244 | add->GetOutputSlot(0).SetTensorInfo(commonTensorInfo); |
| 245 | |
| 246 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*net)); |
| 247 | BOOST_CHECK(deserializedNetwork); |
| 248 | |
| 249 | VerifyConstantName nameChecker; |
| 250 | deserializedNetwork->Accept(nameChecker); |
| 251 | |
| 252 | CheckDeserializedNetworkAgainstOriginal(*net, |
| 253 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 254 | {commonTensorInfo.GetShape()}, |
| 255 | {commonTensorInfo.GetShape()}); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 256 | } |
| 257 | |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame^] | 258 | BOOST_AUTO_TEST_CASE(SerializeFloor) |
| 259 | { |
| 260 | class VerifyFloorName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 261 | { |
| 262 | public: |
| 263 | void VisitMultiplicationLayer(const armnn::IConnectableLayer*, const char* name) override |
| 264 | { |
| 265 | BOOST_TEST(name == "floor"); |
| 266 | } |
| 267 | }; |
| 268 | |
| 269 | const armnn::TensorInfo info({4,4}, armnn::DataType::Float32); |
| 270 | |
| 271 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 272 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(1); |
| 273 | |
| 274 | const char* floorLayerName = "floor"; |
| 275 | |
| 276 | armnn::IConnectableLayer* const floorLayer = network->AddFloorLayer(floorLayerName); |
| 277 | inputLayer->GetOutputSlot(0).Connect(floorLayer->GetInputSlot(0)); |
| 278 | |
| 279 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 280 | floorLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 281 | |
| 282 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 283 | floorLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 284 | |
| 285 | armnnSerializer::Serializer serializer; |
| 286 | serializer.Serialize(*network); |
| 287 | |
| 288 | std::stringstream stream; |
| 289 | serializer.SaveSerializedToStream(stream); |
| 290 | BOOST_TEST(stream.str().length() > 0); |
| 291 | BOOST_TEST(stream.str().find(floorLayerName) != stream.str().npos); |
| 292 | |
| 293 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 294 | BOOST_CHECK(deserializedNetwork); |
| 295 | |
| 296 | VerifyFloorName nameChecker; |
| 297 | deserializedNetwork->Accept(nameChecker); |
| 298 | } |
| 299 | |
Aron Virginas-Tar | 0fe3245 | 2019-02-28 13:12:47 +0000 | [diff] [blame] | 300 | BOOST_AUTO_TEST_CASE(SerializeMinimum) |
| 301 | { |
| 302 | class VerifyMinimumName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 303 | { |
| 304 | public: |
| 305 | explicit VerifyMinimumName(const std::string& expectedMinimumLayerName) |
| 306 | : m_ExpectedMinimumLayerName(expectedMinimumLayerName) {} |
| 307 | |
| 308 | void VisitMinimumLayer(const armnn::IConnectableLayer*, const char* name) override |
| 309 | { |
| 310 | BOOST_TEST(name == m_ExpectedMinimumLayerName.c_str()); |
| 311 | } |
| 312 | |
| 313 | private: |
| 314 | std::string m_ExpectedMinimumLayerName; |
| 315 | }; |
| 316 | |
| 317 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 318 | |
| 319 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 320 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 321 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 322 | |
| 323 | const std::string minimumLayerName("minimum"); |
| 324 | |
| 325 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(minimumLayerName.c_str()); |
| 326 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 327 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 328 | |
| 329 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 330 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 331 | |
| 332 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 333 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 334 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 335 | |
| 336 | armnnSerializer::Serializer serializer; |
| 337 | serializer.Serialize(*network); |
| 338 | |
| 339 | std::stringstream stream; |
| 340 | serializer.SaveSerializedToStream(stream); |
| 341 | BOOST_TEST(stream.str().length() > 0); |
| 342 | BOOST_TEST(stream.str().find(minimumLayerName) != stream.str().npos); |
| 343 | |
| 344 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 345 | BOOST_CHECK(deserializedNetwork); |
| 346 | |
| 347 | VerifyMinimumName nameChecker(minimumLayerName); |
| 348 | deserializedNetwork->Accept(nameChecker); |
| 349 | } |
| 350 | |
Aron Virginas-Tar | 377351e | 2019-02-27 14:42:31 +0000 | [diff] [blame] | 351 | BOOST_AUTO_TEST_CASE(SerializeMaximum) |
| 352 | { |
| 353 | class VerifyMaximumName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 354 | { |
| 355 | public: |
| 356 | explicit VerifyMaximumName(const std::string& expectedMaximumLayerName) |
| 357 | : m_ExpectedMaximumLayerName(expectedMaximumLayerName) {} |
| 358 | |
| 359 | void VisitMaximumLayer(const armnn::IConnectableLayer*, const char* name) override |
| 360 | { |
| 361 | BOOST_TEST(name == m_ExpectedMaximumLayerName.c_str()); |
| 362 | } |
| 363 | |
| 364 | private: |
| 365 | std::string m_ExpectedMaximumLayerName; |
| 366 | }; |
| 367 | |
| 368 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 369 | |
| 370 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 371 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 372 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 373 | |
| 374 | const std::string maximumLayerName("maximum"); |
| 375 | |
| 376 | armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(maximumLayerName.c_str()); |
| 377 | inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); |
| 378 | inputLayer1->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(1)); |
| 379 | |
| 380 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 381 | maximumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 382 | |
| 383 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 384 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 385 | maximumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 386 | |
| 387 | armnnSerializer::Serializer serializer; |
| 388 | serializer.Serialize(*network); |
| 389 | |
| 390 | std::stringstream stream; |
| 391 | serializer.SaveSerializedToStream(stream); |
| 392 | BOOST_TEST(stream.str().length() > 0); |
| 393 | BOOST_TEST(stream.str().find(maximumLayerName) != stream.str().npos); |
| 394 | |
| 395 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 396 | BOOST_CHECK(deserializedNetwork); |
| 397 | |
| 398 | VerifyMaximumName nameChecker(maximumLayerName); |
| 399 | deserializedNetwork->Accept(nameChecker); |
| 400 | } |
| 401 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 402 | BOOST_AUTO_TEST_CASE(SerializeMultiplication) |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 403 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 404 | class VerifyMultiplicationName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 405 | { |
| 406 | public: |
| 407 | void VisitMultiplicationLayer(const armnn::IConnectableLayer*, const char* name) override |
| 408 | { |
| 409 | BOOST_TEST(name == "multiplication"); |
| 410 | } |
| 411 | }; |
| 412 | |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 413 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 414 | |
| 415 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 416 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 417 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 418 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 419 | const char* multLayerName = "multiplication"; |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 420 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 421 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(multLayerName); |
| 422 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 423 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 424 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 425 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 426 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 427 | |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 428 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 429 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 430 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 431 | |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 432 | armnnSerializer::Serializer serializer; |
| 433 | serializer.Serialize(*network); |
| 434 | |
| 435 | std::stringstream stream; |
| 436 | serializer.SaveSerializedToStream(stream); |
| 437 | BOOST_TEST(stream.str().length() > 0); |
| 438 | BOOST_TEST(stream.str().find(multLayerName) != stream.str().npos); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 439 | |
| 440 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 441 | BOOST_CHECK(deserializedNetwork); |
| 442 | |
| 443 | VerifyMultiplicationName nameChecker; |
| 444 | deserializedNetwork->Accept(nameChecker); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 445 | } |
| 446 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 447 | BOOST_AUTO_TEST_CASE(SerializeDeserializeConvolution2d) |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 448 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 449 | |
| 450 | class VerifyConvolution2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 451 | { |
| 452 | public: |
| 453 | void VisitConvolution2dLayer(const armnn::IConnectableLayer*, |
| 454 | const armnn::Convolution2dDescriptor&, |
| 455 | const armnn::ConstTensor&, |
| 456 | const armnn::Optional<armnn::ConstTensor>&, |
| 457 | const char* name) override |
| 458 | { |
| 459 | BOOST_TEST(name == "convolution"); |
| 460 | } |
| 461 | }; |
| 462 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 463 | armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 464 | armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 465 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 466 | armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 467 | armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
| 468 | |
| 469 | // Construct network |
| 470 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 471 | |
| 472 | armnn::Convolution2dDescriptor descriptor; |
| 473 | descriptor.m_PadLeft = 1; |
| 474 | descriptor.m_PadRight = 1; |
| 475 | descriptor.m_PadTop = 1; |
| 476 | descriptor.m_PadBottom = 1; |
| 477 | descriptor.m_StrideX = 2; |
| 478 | descriptor.m_StrideY = 2; |
| 479 | descriptor.m_BiasEnabled = true; |
| 480 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 481 | |
| 482 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 483 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 484 | |
| 485 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 486 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 487 | |
| 488 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0, "input"); |
| 489 | armnn::IConnectableLayer* const convLayer = |
| 490 | network->AddConvolution2dLayer(descriptor, weights, biases, "convolution"); |
| 491 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0, "output"); |
| 492 | |
| 493 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 494 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 495 | |
| 496 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 497 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 498 | |
| 499 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 500 | BOOST_CHECK(deserializedNetwork); |
| 501 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 502 | VerifyConvolution2dName nameChecker; |
| 503 | deserializedNetwork->Accept(nameChecker); |
| 504 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 505 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 506 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 507 | {inputInfo.GetShape()}, |
| 508 | {outputInfo.GetShape()}); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 509 | } |
| 510 | |
| 511 | BOOST_AUTO_TEST_CASE(SerializeDeserializeReshape) |
| 512 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 513 | class VerifyReshapeName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 514 | { |
| 515 | public: |
| 516 | void VisitReshapeLayer(const armnn::IConnectableLayer*, const armnn::ReshapeDescriptor&, const char* name) |
| 517 | { |
| 518 | BOOST_TEST(name == "reshape"); |
| 519 | } |
| 520 | }; |
| 521 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 522 | unsigned int inputShape[] = { 1, 9 }; |
| 523 | unsigned int outputShape[] = { 3, 3 }; |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 524 | |
| 525 | auto inputTensorInfo = armnn::TensorInfo(2, inputShape, armnn::DataType::Float32); |
| 526 | auto outputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::DataType::Float32); |
| 527 | auto reshapeOutputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::DataType::Float32); |
| 528 | |
| 529 | armnn::ReshapeDescriptor reshapeDescriptor; |
| 530 | reshapeDescriptor.m_TargetShape = reshapeOutputTensorInfo.GetShape(); |
| 531 | |
| 532 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 533 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 534 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(reshapeDescriptor, "reshape"); |
| 535 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 536 | |
| 537 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 538 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 539 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 540 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 541 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 542 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 543 | BOOST_CHECK(deserializedNetwork); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 544 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 545 | VerifyReshapeName nameChecker; |
| 546 | deserializedNetwork->Accept(nameChecker); |
| 547 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 548 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 549 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 550 | {inputTensorInfo.GetShape()}, |
| 551 | {outputTensorInfo.GetShape()}); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 552 | } |
| 553 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 554 | BOOST_AUTO_TEST_CASE(SerializeDeserializeDepthwiseConvolution2d) |
| 555 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 556 | class VerifyDepthwiseConvolution2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 557 | { |
| 558 | public: |
| 559 | void VisitDepthwiseConvolution2dLayer(const armnn::IConnectableLayer*, |
| 560 | const armnn::DepthwiseConvolution2dDescriptor&, |
| 561 | const armnn::ConstTensor&, |
| 562 | const armnn::Optional<armnn::ConstTensor>&, |
| 563 | const char* name) override |
| 564 | { |
| 565 | BOOST_TEST(name == "depthwise_convolution"); |
| 566 | } |
| 567 | }; |
| 568 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 569 | armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 570 | armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 571 | |
| 572 | armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 573 | armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 574 | |
| 575 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
| 576 | descriptor.m_StrideX = 1; |
| 577 | descriptor.m_StrideY = 1; |
| 578 | descriptor.m_BiasEnabled = true; |
| 579 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 580 | |
| 581 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 582 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 583 | |
| 584 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 585 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 586 | |
| 587 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 588 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 589 | armnn::IConnectableLayer* const depthwiseConvLayer = |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 590 | network->AddDepthwiseConvolution2dLayer(descriptor, weights, biases, "depthwise_convolution"); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 591 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 592 | |
| 593 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
| 594 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 595 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 596 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 597 | |
| 598 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 599 | BOOST_CHECK(deserializedNetwork); |
| 600 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 601 | VerifyDepthwiseConvolution2dName nameChecker; |
| 602 | deserializedNetwork->Accept(nameChecker); |
| 603 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 604 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 605 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 606 | {inputInfo.GetShape()}, |
| 607 | {outputInfo.GetShape()}); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 608 | } |
| 609 | |
| 610 | BOOST_AUTO_TEST_CASE(SerializeDeserializeSoftmax) |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 611 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 612 | class VerifySoftmaxName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 613 | { |
| 614 | public: |
| 615 | void VisitSoftmaxLayer(const armnn::IConnectableLayer*, const armnn::SoftmaxDescriptor&, const char* name) |
| 616 | { |
| 617 | BOOST_TEST(name == "softmax"); |
| 618 | } |
| 619 | }; |
| 620 | |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 621 | armnn::TensorInfo tensorInfo({1, 10}, armnn::DataType::Float32); |
| 622 | |
| 623 | armnn::SoftmaxDescriptor descriptor; |
| 624 | descriptor.m_Beta = 1.0f; |
| 625 | |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 626 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 627 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 628 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, "softmax"); |
| 629 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 630 | |
| 631 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 632 | inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 633 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 634 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 635 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 636 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 637 | BOOST_CHECK(deserializedNetwork); |
| 638 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 639 | VerifySoftmaxName nameChecker; |
| 640 | deserializedNetwork->Accept(nameChecker); |
| 641 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 642 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 643 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 644 | {tensorInfo.GetShape()}, |
| 645 | {tensorInfo.GetShape()}); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 646 | } |
| 647 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 648 | BOOST_AUTO_TEST_CASE(SerializeDeserializePooling2d) |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 649 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 650 | class VerifyPooling2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 651 | { |
| 652 | void VisitPooling2dLayer(const armnn::IConnectableLayer*, const armnn::Pooling2dDescriptor&, const char* name) |
| 653 | { |
| 654 | BOOST_TEST(name == "pooling2d"); |
| 655 | } |
| 656 | }; |
| 657 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 658 | unsigned int inputShape[] = {1, 2, 2, 1}; |
| 659 | unsigned int outputShape[] = {1, 1, 1, 1}; |
| 660 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 661 | auto inputInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 662 | auto outputInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 663 | |
| 664 | armnn::Pooling2dDescriptor desc; |
| 665 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 666 | desc.m_PadTop = 0; |
| 667 | desc.m_PadBottom = 0; |
| 668 | desc.m_PadLeft = 0; |
| 669 | desc.m_PadRight = 0; |
| 670 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 671 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 672 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 673 | desc.m_PoolHeight = 2; |
| 674 | desc.m_PoolWidth = 2; |
| 675 | desc.m_StrideX = 2; |
| 676 | desc.m_StrideY = 2; |
| 677 | |
| 678 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 679 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 680 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, "pooling2d"); |
| 681 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 682 | |
| 683 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 684 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 685 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 686 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 687 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 688 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 689 | BOOST_CHECK(deserializedNetwork); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 690 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 691 | VerifyPooling2dName nameChecker; |
| 692 | deserializedNetwork->Accept(nameChecker); |
| 693 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 694 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 695 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 696 | {inputInfo.GetShape()}, |
| 697 | {outputInfo.GetShape()}); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 698 | } |
| 699 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 700 | BOOST_AUTO_TEST_CASE(SerializeDeserializePermute) |
| 701 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 702 | class VerifyPermuteName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 703 | { |
| 704 | public: |
| 705 | void VisitPermuteLayer(const armnn::IConnectableLayer*, const armnn::PermuteDescriptor&, const char* name) |
| 706 | { |
| 707 | BOOST_TEST(name == "permute"); |
| 708 | } |
| 709 | }; |
| 710 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 711 | unsigned int inputShape[] = { 4, 3, 2, 1 }; |
| 712 | unsigned int outputShape[] = { 1, 2, 3, 4 }; |
| 713 | unsigned int dimsMapping[] = { 3, 2, 1, 0 }; |
| 714 | |
| 715 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 716 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 717 | |
| 718 | armnn::PermuteDescriptor permuteDescriptor(armnn::PermutationVector(dimsMapping, 4)); |
| 719 | |
| 720 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 721 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 722 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(permuteDescriptor, "permute"); |
| 723 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 724 | |
| 725 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 726 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 727 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 728 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 729 | |
| 730 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 731 | BOOST_CHECK(deserializedNetwork); |
| 732 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 733 | VerifyPermuteName nameChecker; |
| 734 | deserializedNetwork->Accept(nameChecker); |
| 735 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 736 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 737 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 738 | {inputTensorInfo.GetShape()}, |
| 739 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 740 | } |
| 741 | |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 742 | BOOST_AUTO_TEST_CASE(SerializeDeserializeFullyConnected) |
| 743 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 744 | class VerifyFullyConnectedName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 745 | { |
| 746 | public: |
| 747 | void VisitFullyConnectedLayer(const armnn::IConnectableLayer*, |
| 748 | const armnn::FullyConnectedDescriptor&, |
| 749 | const armnn::ConstTensor&, |
| 750 | const armnn::Optional<armnn::ConstTensor>&, |
| 751 | const char* name) override |
| 752 | { |
| 753 | BOOST_TEST(name == "fully_connected"); |
| 754 | } |
| 755 | }; |
| 756 | |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 757 | armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 758 | armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 759 | |
| 760 | armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 761 | armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 762 | |
| 763 | armnn::FullyConnectedDescriptor descriptor; |
| 764 | descriptor.m_BiasEnabled = true; |
| 765 | descriptor.m_TransposeWeightMatrix = false; |
| 766 | |
| 767 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 768 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 769 | |
| 770 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 771 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 772 | |
| 773 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 774 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0, "input"); |
| 775 | armnn::IConnectableLayer* const fullyConnectedLayer = network->AddFullyConnectedLayer(descriptor, |
| 776 | weights, |
| 777 | biases, |
| 778 | "fully_connected"); |
| 779 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0, "output"); |
| 780 | |
| 781 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 782 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 783 | |
| 784 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 785 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 786 | |
| 787 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 788 | BOOST_CHECK(deserializedNetwork); |
| 789 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 790 | VerifyFullyConnectedName nameChecker; |
| 791 | deserializedNetwork->Accept(nameChecker); |
| 792 | |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 793 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 794 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 795 | {inputInfo.GetShape()}, |
| 796 | {outputInfo.GetShape()}); |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 797 | } |
| 798 | |
Nattapat Chaimanowong | 4528699 | 2019-02-26 15:53:02 +0000 | [diff] [blame] | 799 | BOOST_AUTO_TEST_CASE(SerializeDeserializeSpaceToBatchNd) |
| 800 | { |
| 801 | class VerifySpaceToBatchNdName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 802 | { |
| 803 | public: |
| 804 | void VisitSpaceToBatchNdLayer(const armnn::IConnectableLayer*, |
| 805 | const armnn::SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
| 806 | const char* name) override |
| 807 | { |
| 808 | BOOST_TEST(name == "SpaceToBatchNdLayer"); |
| 809 | } |
| 810 | }; |
| 811 | |
| 812 | unsigned int inputShape[] = {2, 1, 2, 4}; |
| 813 | unsigned int outputShape[] = {8, 1, 1, 3}; |
| 814 | |
| 815 | armnn::SpaceToBatchNdDescriptor desc; |
| 816 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 817 | desc.m_BlockShape = {2, 2}; |
| 818 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 819 | |
| 820 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 821 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 822 | |
| 823 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 824 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 825 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, "SpaceToBatchNdLayer"); |
| 826 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 827 | |
| 828 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 829 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 830 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 831 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 832 | |
| 833 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 834 | BOOST_CHECK(deserializedNetwork); |
| 835 | |
| 836 | VerifySpaceToBatchNdName nameChecker; |
| 837 | deserializedNetwork->Accept(nameChecker); |
| 838 | |
| 839 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 840 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 841 | {inputTensorInfo.GetShape()}, |
| 842 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 4528699 | 2019-02-26 15:53:02 +0000 | [diff] [blame] | 843 | } |
| 844 | |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 845 | BOOST_AUTO_TEST_CASE(SerializeDeserializeBatchToSpaceNd) |
| 846 | { |
| 847 | class VerifyBatchToSpaceNdName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 848 | { |
| 849 | public: |
| 850 | void VisitBatchToSpaceNdLayer(const armnn::IConnectableLayer*, |
| 851 | const armnn::BatchToSpaceNdDescriptor& descriptor, |
| 852 | const char* name) override |
| 853 | { |
| 854 | BOOST_TEST(name == "BatchToSpaceNdLayer"); |
| 855 | } |
| 856 | }; |
| 857 | |
| 858 | unsigned int inputShape[] = {4, 1, 2, 2}; |
| 859 | unsigned int outputShape[] = {1, 1, 4, 4}; |
| 860 | |
| 861 | armnn::BatchToSpaceNdDescriptor desc; |
| 862 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 863 | desc.m_BlockShape = {2, 2}; |
| 864 | desc.m_Crops = {{0, 0}, {0, 0}}; |
| 865 | |
| 866 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 867 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 868 | |
| 869 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 870 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 871 | armnn::IConnectableLayer* const batchToSpaceNdLayer = network->AddBatchToSpaceNdLayer(desc, "BatchToSpaceNdLayer"); |
| 872 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 873 | |
| 874 | inputLayer->GetOutputSlot(0).Connect(batchToSpaceNdLayer->GetInputSlot(0)); |
| 875 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 876 | batchToSpaceNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 877 | batchToSpaceNdLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 878 | |
| 879 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 880 | BOOST_CHECK(deserializedNetwork); |
| 881 | |
| 882 | VerifyBatchToSpaceNdName nameChecker; |
| 883 | deserializedNetwork->Accept(nameChecker); |
| 884 | |
| 885 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 886 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 887 | {inputTensorInfo.GetShape()}, |
| 888 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 889 | } |
| 890 | |
Éanna Ó Catháin | 5888589 | 2019-02-27 16:16:39 +0000 | [diff] [blame] | 891 | BOOST_AUTO_TEST_CASE(SerializeDivision) |
| 892 | { |
| 893 | class VerifyDivisionName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 894 | { |
| 895 | public: |
| 896 | void VisitDivisionLayer(const armnn::IConnectableLayer*, const char* name) override |
| 897 | { |
| 898 | BOOST_TEST(name == "division"); |
| 899 | } |
| 900 | }; |
| 901 | |
| 902 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 903 | |
| 904 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 905 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 906 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 907 | |
| 908 | const char* divLayerName = "division"; |
| 909 | |
| 910 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(divLayerName); |
| 911 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 912 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 913 | |
| 914 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 915 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 916 | |
| 917 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 918 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 919 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 920 | |
| 921 | armnnSerializer::Serializer serializer; |
| 922 | serializer.Serialize(*network); |
| 923 | |
| 924 | std::stringstream stream; |
| 925 | serializer.SaveSerializedToStream(stream); |
| 926 | BOOST_TEST(stream.str().length() > 0); |
| 927 | BOOST_TEST(stream.str().find(divLayerName) != stream.str().npos); |
| 928 | |
| 929 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 930 | BOOST_CHECK(deserializedNetwork); |
| 931 | |
| 932 | VerifyDivisionName nameChecker; |
| 933 | deserializedNetwork->Accept(nameChecker); |
| 934 | } |
| 935 | |
Nina Drozd | 5772878 | 2019-02-27 10:53:27 +0000 | [diff] [blame] | 936 | BOOST_AUTO_TEST_CASE(SerializeDeserializeNormalization) |
| 937 | { |
| 938 | class VerifyNormalizationName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 939 | { |
| 940 | public: |
| 941 | void VisitNormalizationLayer(const armnn::IConnectableLayer*, |
| 942 | const armnn::NormalizationDescriptor& normalizationDescriptor, |
| 943 | const char* name) override |
| 944 | { |
| 945 | BOOST_TEST(name == "NormalizationLayer"); |
| 946 | } |
| 947 | }; |
| 948 | |
| 949 | unsigned int inputShape[] = {2, 1, 2, 2}; |
| 950 | unsigned int outputShape[] = {2, 1, 2, 2}; |
| 951 | |
| 952 | armnn::NormalizationDescriptor desc; |
| 953 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 954 | desc.m_NormSize = 3; |
| 955 | desc.m_Alpha = 1; |
| 956 | desc.m_Beta = 1; |
| 957 | desc.m_K = 1; |
| 958 | |
| 959 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 960 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 961 | |
| 962 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 963 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 964 | armnn::IConnectableLayer* const normalizationLayer = network->AddNormalizationLayer(desc, "NormalizationLayer"); |
| 965 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 966 | |
| 967 | inputLayer->GetOutputSlot(0).Connect(normalizationLayer->GetInputSlot(0)); |
| 968 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 969 | normalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 970 | normalizationLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 971 | |
| 972 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 973 | BOOST_CHECK(deserializedNetwork); |
| 974 | |
| 975 | VerifyNormalizationName nameChecker; |
| 976 | deserializedNetwork->Accept(nameChecker); |
| 977 | |
| 978 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 979 | *deserializedNetwork, |
| 980 | {inputTensorInfo.GetShape()}, |
| 981 | {outputTensorInfo.GetShape()}); |
| 982 | } |
| 983 | |
Nattapat Chaimanowong | 235cea5 | 2019-02-28 16:27:30 +0000 | [diff] [blame] | 984 | BOOST_AUTO_TEST_CASE(SerializeDeserializeEqual) |
| 985 | { |
| 986 | class VerifyEqualName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 987 | { |
| 988 | public: |
| 989 | void VisitEqualLayer(const armnn::IConnectableLayer*, |
| 990 | const char* name) override |
| 991 | { |
| 992 | BOOST_TEST(name == "EqualLayer"); |
| 993 | } |
| 994 | }; |
| 995 | |
| 996 | const armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 997 | const armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 998 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Boolean); |
| 999 | |
| 1000 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1001 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 1002 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 1003 | armnn::IConnectableLayer* const equalLayer = network->AddEqualLayer("EqualLayer"); |
| 1004 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1005 | |
| 1006 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 1007 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 1008 | inputLayer2->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 1009 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
| 1010 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1011 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1012 | |
| 1013 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1014 | BOOST_CHECK(deserializedNetwork); |
| 1015 | |
| 1016 | VerifyEqualName nameChecker; |
| 1017 | deserializedNetwork->Accept(nameChecker); |
| 1018 | |
| 1019 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 1020 | *deserializedNetwork, |
| 1021 | {inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()}, |
| 1022 | {outputTensorInfo.GetShape()}, |
| 1023 | {0, 1}); |
| 1024 | } |
Nattapat Chaimanowong | ebb0f9c | 2019-03-01 12:14:06 +0000 | [diff] [blame] | 1025 | |
| 1026 | BOOST_AUTO_TEST_CASE(SerializeDeserializePad) |
| 1027 | { |
| 1028 | class VerifyPadName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1029 | { |
| 1030 | public: |
| 1031 | void VisitPadLayer(const armnn::IConnectableLayer*, |
| 1032 | const armnn::PadDescriptor& descriptor, |
| 1033 | const char* name) override |
| 1034 | { |
| 1035 | BOOST_TEST(name == "PadLayer"); |
| 1036 | } |
| 1037 | }; |
| 1038 | |
| 1039 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1040 | |
| 1041 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1042 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1043 | |
| 1044 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1045 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1046 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, "PadLayer"); |
| 1047 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1048 | |
| 1049 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1050 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1051 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1052 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1053 | |
| 1054 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1055 | BOOST_CHECK(deserializedNetwork); |
| 1056 | |
| 1057 | VerifyPadName nameChecker; |
| 1058 | deserializedNetwork->Accept(nameChecker); |
| 1059 | |
| 1060 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 1061 | *deserializedNetwork, |
| 1062 | {inputTensorInfo.GetShape()}, |
| 1063 | {outputTensorInfo.GetShape()}); |
| 1064 | } |
| 1065 | |
Sadik Armagan | 8b42a38 | 2019-03-01 14:24:49 +0000 | [diff] [blame] | 1066 | BOOST_AUTO_TEST_CASE(SerializeRsqrt) |
| 1067 | { |
| 1068 | class VerifyRsqrtName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1069 | { |
| 1070 | public: |
| 1071 | void VisitRsqrtLayer(const armnn::IConnectableLayer*, const char* name) override |
| 1072 | { |
| 1073 | BOOST_TEST(name == "rsqrt"); |
| 1074 | } |
| 1075 | }; |
| 1076 | |
| 1077 | const armnn::TensorInfo tensorInfo({ 3, 1, 2 }, armnn::DataType::Float32); |
| 1078 | |
| 1079 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1080 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1081 | armnn::IConnectableLayer* const rsqrtLayer = network->AddRsqrtLayer("rsqrt"); |
| 1082 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1083 | |
| 1084 | inputLayer->GetOutputSlot(0).Connect(rsqrtLayer->GetInputSlot(0)); |
| 1085 | rsqrtLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1086 | |
| 1087 | inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 1088 | rsqrtLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 1089 | |
| 1090 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1091 | BOOST_CHECK(deserializedNetwork); |
| 1092 | |
| 1093 | VerifyRsqrtName nameChecker; |
| 1094 | deserializedNetwork->Accept(nameChecker); |
| 1095 | |
| 1096 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 1097 | *deserializedNetwork, |
| 1098 | {tensorInfo.GetShape()}, |
| 1099 | {tensorInfo.GetShape()}); |
| 1100 | } |
| 1101 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 1102 | BOOST_AUTO_TEST_SUITE_END() |