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 | |
Aron Virginas-Tar | 0fe3245 | 2019-02-28 13:12:47 +0000 | [diff] [blame] | 258 | BOOST_AUTO_TEST_CASE(SerializeMinimum) |
| 259 | { |
| 260 | class VerifyMinimumName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 261 | { |
| 262 | public: |
| 263 | explicit VerifyMinimumName(const std::string& expectedMinimumLayerName) |
| 264 | : m_ExpectedMinimumLayerName(expectedMinimumLayerName) {} |
| 265 | |
| 266 | void VisitMinimumLayer(const armnn::IConnectableLayer*, const char* name) override |
| 267 | { |
| 268 | BOOST_TEST(name == m_ExpectedMinimumLayerName.c_str()); |
| 269 | } |
| 270 | |
| 271 | private: |
| 272 | std::string m_ExpectedMinimumLayerName; |
| 273 | }; |
| 274 | |
| 275 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 276 | |
| 277 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 278 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 279 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 280 | |
| 281 | const std::string minimumLayerName("minimum"); |
| 282 | |
| 283 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(minimumLayerName.c_str()); |
| 284 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 285 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 286 | |
| 287 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 288 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 289 | |
| 290 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 291 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 292 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 293 | |
| 294 | armnnSerializer::Serializer serializer; |
| 295 | serializer.Serialize(*network); |
| 296 | |
| 297 | std::stringstream stream; |
| 298 | serializer.SaveSerializedToStream(stream); |
| 299 | BOOST_TEST(stream.str().length() > 0); |
| 300 | BOOST_TEST(stream.str().find(minimumLayerName) != stream.str().npos); |
| 301 | |
| 302 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 303 | BOOST_CHECK(deserializedNetwork); |
| 304 | |
| 305 | VerifyMinimumName nameChecker(minimumLayerName); |
| 306 | deserializedNetwork->Accept(nameChecker); |
| 307 | } |
| 308 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 309 | BOOST_AUTO_TEST_CASE(SerializeMultiplication) |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 310 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 311 | class VerifyMultiplicationName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 312 | { |
| 313 | public: |
| 314 | void VisitMultiplicationLayer(const armnn::IConnectableLayer*, const char* name) override |
| 315 | { |
| 316 | BOOST_TEST(name == "multiplication"); |
| 317 | } |
| 318 | }; |
| 319 | |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 320 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 321 | |
| 322 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 323 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 324 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 325 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 326 | const char* multLayerName = "multiplication"; |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 327 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 328 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(multLayerName); |
| 329 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 330 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 331 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 332 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 333 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 334 | |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 335 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 336 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 337 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 338 | |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 339 | armnnSerializer::Serializer serializer; |
| 340 | serializer.Serialize(*network); |
| 341 | |
| 342 | std::stringstream stream; |
| 343 | serializer.SaveSerializedToStream(stream); |
| 344 | BOOST_TEST(stream.str().length() > 0); |
| 345 | BOOST_TEST(stream.str().find(multLayerName) != stream.str().npos); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 346 | |
| 347 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 348 | BOOST_CHECK(deserializedNetwork); |
| 349 | |
| 350 | VerifyMultiplicationName nameChecker; |
| 351 | deserializedNetwork->Accept(nameChecker); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 352 | } |
| 353 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 354 | BOOST_AUTO_TEST_CASE(SerializeDeserializeConvolution2d) |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 355 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 356 | |
| 357 | class VerifyConvolution2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 358 | { |
| 359 | public: |
| 360 | void VisitConvolution2dLayer(const armnn::IConnectableLayer*, |
| 361 | const armnn::Convolution2dDescriptor&, |
| 362 | const armnn::ConstTensor&, |
| 363 | const armnn::Optional<armnn::ConstTensor>&, |
| 364 | const char* name) override |
| 365 | { |
| 366 | BOOST_TEST(name == "convolution"); |
| 367 | } |
| 368 | }; |
| 369 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 370 | armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 371 | armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 372 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 373 | armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 374 | armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
| 375 | |
| 376 | // Construct network |
| 377 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 378 | |
| 379 | armnn::Convolution2dDescriptor descriptor; |
| 380 | descriptor.m_PadLeft = 1; |
| 381 | descriptor.m_PadRight = 1; |
| 382 | descriptor.m_PadTop = 1; |
| 383 | descriptor.m_PadBottom = 1; |
| 384 | descriptor.m_StrideX = 2; |
| 385 | descriptor.m_StrideY = 2; |
| 386 | descriptor.m_BiasEnabled = true; |
| 387 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 388 | |
| 389 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 390 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 391 | |
| 392 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 393 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 394 | |
| 395 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0, "input"); |
| 396 | armnn::IConnectableLayer* const convLayer = |
| 397 | network->AddConvolution2dLayer(descriptor, weights, biases, "convolution"); |
| 398 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0, "output"); |
| 399 | |
| 400 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 401 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 402 | |
| 403 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 404 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 405 | |
| 406 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 407 | BOOST_CHECK(deserializedNetwork); |
| 408 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 409 | VerifyConvolution2dName nameChecker; |
| 410 | deserializedNetwork->Accept(nameChecker); |
| 411 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 412 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 413 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 414 | {inputInfo.GetShape()}, |
| 415 | {outputInfo.GetShape()}); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 416 | } |
| 417 | |
| 418 | BOOST_AUTO_TEST_CASE(SerializeDeserializeReshape) |
| 419 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 420 | class VerifyReshapeName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 421 | { |
| 422 | public: |
| 423 | void VisitReshapeLayer(const armnn::IConnectableLayer*, const armnn::ReshapeDescriptor&, const char* name) |
| 424 | { |
| 425 | BOOST_TEST(name == "reshape"); |
| 426 | } |
| 427 | }; |
| 428 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 429 | unsigned int inputShape[] = { 1, 9 }; |
| 430 | unsigned int outputShape[] = { 3, 3 }; |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 431 | |
| 432 | auto inputTensorInfo = armnn::TensorInfo(2, inputShape, armnn::DataType::Float32); |
| 433 | auto outputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::DataType::Float32); |
| 434 | auto reshapeOutputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::DataType::Float32); |
| 435 | |
| 436 | armnn::ReshapeDescriptor reshapeDescriptor; |
| 437 | reshapeDescriptor.m_TargetShape = reshapeOutputTensorInfo.GetShape(); |
| 438 | |
| 439 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 440 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 441 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(reshapeDescriptor, "reshape"); |
| 442 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 443 | |
| 444 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 445 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 446 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 447 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 448 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 449 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 450 | BOOST_CHECK(deserializedNetwork); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 451 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 452 | VerifyReshapeName nameChecker; |
| 453 | deserializedNetwork->Accept(nameChecker); |
| 454 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 455 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 456 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 457 | {inputTensorInfo.GetShape()}, |
| 458 | {outputTensorInfo.GetShape()}); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 459 | } |
| 460 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 461 | BOOST_AUTO_TEST_CASE(SerializeDeserializeDepthwiseConvolution2d) |
| 462 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 463 | class VerifyDepthwiseConvolution2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 464 | { |
| 465 | public: |
| 466 | void VisitDepthwiseConvolution2dLayer(const armnn::IConnectableLayer*, |
| 467 | const armnn::DepthwiseConvolution2dDescriptor&, |
| 468 | const armnn::ConstTensor&, |
| 469 | const armnn::Optional<armnn::ConstTensor>&, |
| 470 | const char* name) override |
| 471 | { |
| 472 | BOOST_TEST(name == "depthwise_convolution"); |
| 473 | } |
| 474 | }; |
| 475 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 476 | armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 477 | armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 478 | |
| 479 | armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 480 | armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 481 | |
| 482 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
| 483 | descriptor.m_StrideX = 1; |
| 484 | descriptor.m_StrideY = 1; |
| 485 | descriptor.m_BiasEnabled = true; |
| 486 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 487 | |
| 488 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 489 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 490 | |
| 491 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 492 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 493 | |
| 494 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 495 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 496 | armnn::IConnectableLayer* const depthwiseConvLayer = |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 497 | network->AddDepthwiseConvolution2dLayer(descriptor, weights, biases, "depthwise_convolution"); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 498 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 499 | |
| 500 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
| 501 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 502 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 503 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 504 | |
| 505 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 506 | BOOST_CHECK(deserializedNetwork); |
| 507 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 508 | VerifyDepthwiseConvolution2dName nameChecker; |
| 509 | deserializedNetwork->Accept(nameChecker); |
| 510 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 511 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 512 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 513 | {inputInfo.GetShape()}, |
| 514 | {outputInfo.GetShape()}); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 515 | } |
| 516 | |
| 517 | BOOST_AUTO_TEST_CASE(SerializeDeserializeSoftmax) |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 518 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 519 | class VerifySoftmaxName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 520 | { |
| 521 | public: |
| 522 | void VisitSoftmaxLayer(const armnn::IConnectableLayer*, const armnn::SoftmaxDescriptor&, const char* name) |
| 523 | { |
| 524 | BOOST_TEST(name == "softmax"); |
| 525 | } |
| 526 | }; |
| 527 | |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 528 | armnn::TensorInfo tensorInfo({1, 10}, armnn::DataType::Float32); |
| 529 | |
| 530 | armnn::SoftmaxDescriptor descriptor; |
| 531 | descriptor.m_Beta = 1.0f; |
| 532 | |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 533 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 534 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 535 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, "softmax"); |
| 536 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 537 | |
| 538 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 539 | inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 540 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 541 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 542 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 543 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 544 | BOOST_CHECK(deserializedNetwork); |
| 545 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 546 | VerifySoftmaxName nameChecker; |
| 547 | deserializedNetwork->Accept(nameChecker); |
| 548 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 549 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 550 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 551 | {tensorInfo.GetShape()}, |
| 552 | {tensorInfo.GetShape()}); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 553 | } |
| 554 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 555 | BOOST_AUTO_TEST_CASE(SerializeDeserializePooling2d) |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 556 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 557 | class VerifyPooling2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 558 | { |
| 559 | void VisitPooling2dLayer(const armnn::IConnectableLayer*, const armnn::Pooling2dDescriptor&, const char* name) |
| 560 | { |
| 561 | BOOST_TEST(name == "pooling2d"); |
| 562 | } |
| 563 | }; |
| 564 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 565 | unsigned int inputShape[] = {1, 2, 2, 1}; |
| 566 | unsigned int outputShape[] = {1, 1, 1, 1}; |
| 567 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 568 | auto inputInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 569 | auto outputInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 570 | |
| 571 | armnn::Pooling2dDescriptor desc; |
| 572 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 573 | desc.m_PadTop = 0; |
| 574 | desc.m_PadBottom = 0; |
| 575 | desc.m_PadLeft = 0; |
| 576 | desc.m_PadRight = 0; |
| 577 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 578 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 579 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 580 | desc.m_PoolHeight = 2; |
| 581 | desc.m_PoolWidth = 2; |
| 582 | desc.m_StrideX = 2; |
| 583 | desc.m_StrideY = 2; |
| 584 | |
| 585 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 586 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 587 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, "pooling2d"); |
| 588 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 589 | |
| 590 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 591 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 592 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 593 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 594 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 595 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 596 | BOOST_CHECK(deserializedNetwork); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 597 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 598 | VerifyPooling2dName nameChecker; |
| 599 | deserializedNetwork->Accept(nameChecker); |
| 600 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 601 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 602 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 603 | {inputInfo.GetShape()}, |
| 604 | {outputInfo.GetShape()}); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 605 | } |
| 606 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 607 | BOOST_AUTO_TEST_CASE(SerializeDeserializePermute) |
| 608 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 609 | class VerifyPermuteName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 610 | { |
| 611 | public: |
| 612 | void VisitPermuteLayer(const armnn::IConnectableLayer*, const armnn::PermuteDescriptor&, const char* name) |
| 613 | { |
| 614 | BOOST_TEST(name == "permute"); |
| 615 | } |
| 616 | }; |
| 617 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 618 | unsigned int inputShape[] = { 4, 3, 2, 1 }; |
| 619 | unsigned int outputShape[] = { 1, 2, 3, 4 }; |
| 620 | unsigned int dimsMapping[] = { 3, 2, 1, 0 }; |
| 621 | |
| 622 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 623 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 624 | |
| 625 | armnn::PermuteDescriptor permuteDescriptor(armnn::PermutationVector(dimsMapping, 4)); |
| 626 | |
| 627 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 628 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 629 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(permuteDescriptor, "permute"); |
| 630 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 631 | |
| 632 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 633 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 634 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 635 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 636 | |
| 637 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 638 | BOOST_CHECK(deserializedNetwork); |
| 639 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 640 | VerifyPermuteName nameChecker; |
| 641 | deserializedNetwork->Accept(nameChecker); |
| 642 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 643 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 644 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 645 | {inputTensorInfo.GetShape()}, |
| 646 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 647 | } |
| 648 | |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 649 | BOOST_AUTO_TEST_CASE(SerializeDeserializeFullyConnected) |
| 650 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 651 | class VerifyFullyConnectedName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 652 | { |
| 653 | public: |
| 654 | void VisitFullyConnectedLayer(const armnn::IConnectableLayer*, |
| 655 | const armnn::FullyConnectedDescriptor&, |
| 656 | const armnn::ConstTensor&, |
| 657 | const armnn::Optional<armnn::ConstTensor>&, |
| 658 | const char* name) override |
| 659 | { |
| 660 | BOOST_TEST(name == "fully_connected"); |
| 661 | } |
| 662 | }; |
| 663 | |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 664 | armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 665 | armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 666 | |
| 667 | armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 668 | armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 669 | |
| 670 | armnn::FullyConnectedDescriptor descriptor; |
| 671 | descriptor.m_BiasEnabled = true; |
| 672 | descriptor.m_TransposeWeightMatrix = false; |
| 673 | |
| 674 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 675 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 676 | |
| 677 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 678 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 679 | |
| 680 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 681 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0, "input"); |
| 682 | armnn::IConnectableLayer* const fullyConnectedLayer = network->AddFullyConnectedLayer(descriptor, |
| 683 | weights, |
| 684 | biases, |
| 685 | "fully_connected"); |
| 686 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0, "output"); |
| 687 | |
| 688 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 689 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 690 | |
| 691 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 692 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 693 | |
| 694 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 695 | BOOST_CHECK(deserializedNetwork); |
| 696 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 697 | VerifyFullyConnectedName nameChecker; |
| 698 | deserializedNetwork->Accept(nameChecker); |
| 699 | |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 700 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 701 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 702 | {inputInfo.GetShape()}, |
| 703 | {outputInfo.GetShape()}); |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 704 | } |
| 705 | |
Nattapat Chaimanowong | 4528699 | 2019-02-26 15:53:02 +0000 | [diff] [blame] | 706 | BOOST_AUTO_TEST_CASE(SerializeDeserializeSpaceToBatchNd) |
| 707 | { |
| 708 | class VerifySpaceToBatchNdName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 709 | { |
| 710 | public: |
| 711 | void VisitSpaceToBatchNdLayer(const armnn::IConnectableLayer*, |
| 712 | const armnn::SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
| 713 | const char* name) override |
| 714 | { |
| 715 | BOOST_TEST(name == "SpaceToBatchNdLayer"); |
| 716 | } |
| 717 | }; |
| 718 | |
| 719 | unsigned int inputShape[] = {2, 1, 2, 4}; |
| 720 | unsigned int outputShape[] = {8, 1, 1, 3}; |
| 721 | |
| 722 | armnn::SpaceToBatchNdDescriptor desc; |
| 723 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 724 | desc.m_BlockShape = {2, 2}; |
| 725 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 726 | |
| 727 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 728 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 729 | |
| 730 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 731 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 732 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, "SpaceToBatchNdLayer"); |
| 733 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 734 | |
| 735 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 736 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 737 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 738 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 739 | |
| 740 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 741 | BOOST_CHECK(deserializedNetwork); |
| 742 | |
| 743 | VerifySpaceToBatchNdName nameChecker; |
| 744 | deserializedNetwork->Accept(nameChecker); |
| 745 | |
| 746 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 747 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 748 | {inputTensorInfo.GetShape()}, |
| 749 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 4528699 | 2019-02-26 15:53:02 +0000 | [diff] [blame] | 750 | } |
| 751 | |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 752 | BOOST_AUTO_TEST_CASE(SerializeDeserializeBatchToSpaceNd) |
| 753 | { |
| 754 | class VerifyBatchToSpaceNdName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 755 | { |
| 756 | public: |
| 757 | void VisitBatchToSpaceNdLayer(const armnn::IConnectableLayer*, |
| 758 | const armnn::BatchToSpaceNdDescriptor& descriptor, |
| 759 | const char* name) override |
| 760 | { |
| 761 | BOOST_TEST(name == "BatchToSpaceNdLayer"); |
| 762 | } |
| 763 | }; |
| 764 | |
| 765 | unsigned int inputShape[] = {4, 1, 2, 2}; |
| 766 | unsigned int outputShape[] = {1, 1, 4, 4}; |
| 767 | |
| 768 | armnn::BatchToSpaceNdDescriptor desc; |
| 769 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 770 | desc.m_BlockShape = {2, 2}; |
| 771 | desc.m_Crops = {{0, 0}, {0, 0}}; |
| 772 | |
| 773 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 774 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 775 | |
| 776 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 777 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 778 | armnn::IConnectableLayer* const batchToSpaceNdLayer = network->AddBatchToSpaceNdLayer(desc, "BatchToSpaceNdLayer"); |
| 779 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 780 | |
| 781 | inputLayer->GetOutputSlot(0).Connect(batchToSpaceNdLayer->GetInputSlot(0)); |
| 782 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 783 | batchToSpaceNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 784 | batchToSpaceNdLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 785 | |
| 786 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 787 | BOOST_CHECK(deserializedNetwork); |
| 788 | |
| 789 | VerifyBatchToSpaceNdName nameChecker; |
| 790 | deserializedNetwork->Accept(nameChecker); |
| 791 | |
| 792 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 793 | *deserializedNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 794 | {inputTensorInfo.GetShape()}, |
| 795 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 796 | } |
| 797 | |
Éanna Ó Catháin | 5888589 | 2019-02-27 16:16:39 +0000 | [diff] [blame] | 798 | BOOST_AUTO_TEST_CASE(SerializeDivision) |
| 799 | { |
| 800 | class VerifyDivisionName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 801 | { |
| 802 | public: |
| 803 | void VisitDivisionLayer(const armnn::IConnectableLayer*, const char* name) override |
| 804 | { |
| 805 | BOOST_TEST(name == "division"); |
| 806 | } |
| 807 | }; |
| 808 | |
| 809 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 810 | |
| 811 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 812 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 813 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 814 | |
| 815 | const char* divLayerName = "division"; |
| 816 | |
| 817 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(divLayerName); |
| 818 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 819 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 820 | |
| 821 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 822 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 823 | |
| 824 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 825 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 826 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 827 | |
| 828 | armnnSerializer::Serializer serializer; |
| 829 | serializer.Serialize(*network); |
| 830 | |
| 831 | std::stringstream stream; |
| 832 | serializer.SaveSerializedToStream(stream); |
| 833 | BOOST_TEST(stream.str().length() > 0); |
| 834 | BOOST_TEST(stream.str().find(divLayerName) != stream.str().npos); |
| 835 | |
| 836 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 837 | BOOST_CHECK(deserializedNetwork); |
| 838 | |
| 839 | VerifyDivisionName nameChecker; |
| 840 | deserializedNetwork->Accept(nameChecker); |
| 841 | } |
| 842 | |
Nattapat Chaimanowong | 235cea5 | 2019-02-28 16:27:30 +0000 | [diff] [blame^] | 843 | BOOST_AUTO_TEST_CASE(SerializeDeserializeEqual) |
| 844 | { |
| 845 | class VerifyEqualName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 846 | { |
| 847 | public: |
| 848 | void VisitEqualLayer(const armnn::IConnectableLayer*, |
| 849 | const char* name) override |
| 850 | { |
| 851 | BOOST_TEST(name == "EqualLayer"); |
| 852 | } |
| 853 | }; |
| 854 | |
| 855 | const armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 856 | const armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 857 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Boolean); |
| 858 | |
| 859 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 860 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 861 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 862 | armnn::IConnectableLayer* const equalLayer = network->AddEqualLayer("EqualLayer"); |
| 863 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 864 | |
| 865 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 866 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 867 | inputLayer2->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 868 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
| 869 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 870 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 871 | |
| 872 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 873 | BOOST_CHECK(deserializedNetwork); |
| 874 | |
| 875 | VerifyEqualName nameChecker; |
| 876 | deserializedNetwork->Accept(nameChecker); |
| 877 | |
| 878 | CheckDeserializedNetworkAgainstOriginal(*network, |
| 879 | *deserializedNetwork, |
| 880 | {inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()}, |
| 881 | {outputTensorInfo.GetShape()}, |
| 882 | {0, 1}); |
| 883 | } |
| 884 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 885 | BOOST_AUTO_TEST_SUITE_END() |