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 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 64 | template<typename T> |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 65 | void CheckDeserializedNetworkAgainstOriginal(const armnn::INetwork& deserializedNetwork, |
| 66 | const armnn::INetwork& originalNetwork, |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 67 | const std::vector<armnn::TensorShape>& inputShapes, |
| 68 | const std::vector<armnn::TensorShape>& outputShapes, |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 69 | const std::vector<armnn::LayerBindingId>& inputBindingIds = {0}, |
| 70 | const std::vector<armnn::LayerBindingId>& outputBindingIds = {0}) |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 71 | { |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 72 | BOOST_CHECK(inputShapes.size() == inputBindingIds.size()); |
| 73 | BOOST_CHECK(outputShapes.size() == outputBindingIds.size()); |
| 74 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 75 | armnn::IRuntime::CreationOptions options; |
| 76 | armnn::IRuntimePtr runtime = armnn::IRuntime::Create(options); |
| 77 | |
| 78 | std::vector<armnn::BackendId> preferredBackends = { armnn::BackendId("CpuRef") }; |
| 79 | |
| 80 | // Optimize original network |
| 81 | armnn::IOptimizedNetworkPtr optimizedOriginalNetwork = |
| 82 | armnn::Optimize(originalNetwork, preferredBackends, runtime->GetDeviceSpec()); |
| 83 | BOOST_CHECK(optimizedOriginalNetwork); |
| 84 | |
| 85 | // Optimize deserialized network |
| 86 | armnn::IOptimizedNetworkPtr optimizedDeserializedNetwork = |
| 87 | armnn::Optimize(deserializedNetwork, preferredBackends, runtime->GetDeviceSpec()); |
| 88 | BOOST_CHECK(optimizedDeserializedNetwork); |
| 89 | |
| 90 | armnn::NetworkId networkId1; |
| 91 | armnn::NetworkId networkId2; |
| 92 | |
| 93 | // Load original and deserialized network |
| 94 | armnn::Status status1 = runtime->LoadNetwork(networkId1, std::move(optimizedOriginalNetwork)); |
| 95 | BOOST_CHECK(status1 == armnn::Status::Success); |
| 96 | |
| 97 | armnn::Status status2 = runtime->LoadNetwork(networkId2, std::move(optimizedDeserializedNetwork)); |
| 98 | BOOST_CHECK(status2 == armnn::Status::Success); |
| 99 | |
| 100 | // Generate some input data |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 101 | armnn::InputTensors inputTensors1; |
| 102 | armnn::InputTensors inputTensors2; |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 103 | std::vector<std::vector<T>> inputData; |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 104 | inputData.reserve(inputShapes.size()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 105 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 106 | for (unsigned int i = 0; i < inputShapes.size(); i++) { |
| 107 | inputData.push_back(GenerateRandomData<T>(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; |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 118 | std::vector<std::vector<T>> outputData1; |
| 119 | std::vector<std::vector<T>> outputData2; |
Nattapat Chaimanowong | 8d69bbc | 2019-02-27 16:52:29 +0000 | [diff] [blame] | 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 | |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 151 | BOOST_AUTO_TEST_CASE(SerializeDeserializeAddition) |
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); |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 191 | |
| 192 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 193 | *network, |
| 194 | {info.GetShape(), info.GetShape()}, |
| 195 | {info.GetShape()}, |
| 196 | {0, 1}); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 197 | } |
| 198 | |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 199 | BOOST_AUTO_TEST_CASE(SerializeConstant) |
| 200 | { |
| 201 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 202 | |
| 203 | armnn::ConstTensor inputTensor; |
| 204 | |
| 205 | armnn::IConnectableLayer* const inputLayer0 = network->AddConstantLayer(inputTensor, "constant"); |
| 206 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 207 | |
| 208 | inputLayer0->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 209 | |
| 210 | armnnSerializer::Serializer serializer; |
| 211 | serializer.Serialize(*network); |
| 212 | |
| 213 | std::stringstream stream; |
| 214 | serializer.SaveSerializedToStream(stream); |
| 215 | BOOST_TEST(stream.str().length() > 0); |
| 216 | BOOST_TEST(stream.str().find("constant") != stream.str().npos); |
| 217 | } |
| 218 | |
| 219 | BOOST_AUTO_TEST_CASE(SerializeDeserializeConstant) |
| 220 | { |
| 221 | class VerifyConstantName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 222 | { |
| 223 | public: |
| 224 | void VisitConstantLayer(const armnn::IConnectableLayer*, const armnn::ConstTensor&, const char* name) override |
| 225 | { |
| 226 | BOOST_TEST(name == "constant"); |
| 227 | } |
| 228 | }; |
| 229 | |
| 230 | armnn::TensorInfo commonTensorInfo({ 2, 3 }, armnn::DataType::Float32); |
| 231 | |
| 232 | std::vector<float> constantData = GenerateRandomData<float>(commonTensorInfo.GetNumElements()); |
| 233 | armnn::ConstTensor constTensor(commonTensorInfo, constantData); |
| 234 | |
| 235 | // Builds up the structure of the network. |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 236 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 237 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 238 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
| 239 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, "constant"); |
| 240 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 241 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 242 | |
| 243 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 244 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 245 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 246 | |
| 247 | // Sets the tensors in the network. |
| 248 | input->GetOutputSlot(0).SetTensorInfo(commonTensorInfo); |
| 249 | constant->GetOutputSlot(0).SetTensorInfo(commonTensorInfo); |
| 250 | add->GetOutputSlot(0).SetTensorInfo(commonTensorInfo); |
| 251 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 252 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 253 | BOOST_CHECK(deserializedNetwork); |
| 254 | |
| 255 | VerifyConstantName nameChecker; |
| 256 | deserializedNetwork->Accept(nameChecker); |
| 257 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 258 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 259 | *network, |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 260 | {commonTensorInfo.GetShape()}, |
| 261 | {commonTensorInfo.GetShape()}); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 262 | } |
| 263 | |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 264 | BOOST_AUTO_TEST_CASE(SerializeDeserializeFloor) |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 265 | { |
| 266 | class VerifyFloorName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 267 | { |
| 268 | public: |
| 269 | void VisitMultiplicationLayer(const armnn::IConnectableLayer*, const char* name) override |
| 270 | { |
| 271 | BOOST_TEST(name == "floor"); |
| 272 | } |
| 273 | }; |
| 274 | |
| 275 | const armnn::TensorInfo info({4,4}, armnn::DataType::Float32); |
| 276 | |
| 277 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 278 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 279 | |
| 280 | const char* floorLayerName = "floor"; |
| 281 | |
| 282 | armnn::IConnectableLayer* const floorLayer = network->AddFloorLayer(floorLayerName); |
| 283 | inputLayer->GetOutputSlot(0).Connect(floorLayer->GetInputSlot(0)); |
| 284 | |
| 285 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 286 | floorLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 287 | |
| 288 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 289 | floorLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 290 | |
| 291 | armnnSerializer::Serializer serializer; |
| 292 | serializer.Serialize(*network); |
| 293 | |
| 294 | std::stringstream stream; |
| 295 | serializer.SaveSerializedToStream(stream); |
| 296 | BOOST_TEST(stream.str().length() > 0); |
| 297 | BOOST_TEST(stream.str().find(floorLayerName) != stream.str().npos); |
| 298 | |
| 299 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 300 | BOOST_CHECK(deserializedNetwork); |
| 301 | |
| 302 | VerifyFloorName nameChecker; |
| 303 | deserializedNetwork->Accept(nameChecker); |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 304 | |
| 305 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 306 | *network, |
| 307 | {info.GetShape()}, |
| 308 | {info.GetShape()}); |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 309 | } |
| 310 | |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 311 | BOOST_AUTO_TEST_CASE(SerializeDeserializeMinimum) |
Aron Virginas-Tar | 0fe3245 | 2019-02-28 13:12:47 +0000 | [diff] [blame] | 312 | { |
| 313 | class VerifyMinimumName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 314 | { |
| 315 | public: |
| 316 | explicit VerifyMinimumName(const std::string& expectedMinimumLayerName) |
| 317 | : m_ExpectedMinimumLayerName(expectedMinimumLayerName) {} |
| 318 | |
| 319 | void VisitMinimumLayer(const armnn::IConnectableLayer*, const char* name) override |
| 320 | { |
| 321 | BOOST_TEST(name == m_ExpectedMinimumLayerName.c_str()); |
| 322 | } |
| 323 | |
| 324 | private: |
| 325 | std::string m_ExpectedMinimumLayerName; |
| 326 | }; |
| 327 | |
| 328 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 329 | |
| 330 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 331 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 332 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 333 | |
| 334 | const std::string minimumLayerName("minimum"); |
| 335 | |
| 336 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(minimumLayerName.c_str()); |
| 337 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 338 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 339 | |
| 340 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 341 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 342 | |
| 343 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 344 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 345 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 346 | |
| 347 | armnnSerializer::Serializer serializer; |
| 348 | serializer.Serialize(*network); |
| 349 | |
| 350 | std::stringstream stream; |
| 351 | serializer.SaveSerializedToStream(stream); |
| 352 | BOOST_TEST(stream.str().length() > 0); |
| 353 | BOOST_TEST(stream.str().find(minimumLayerName) != stream.str().npos); |
| 354 | |
| 355 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 356 | BOOST_CHECK(deserializedNetwork); |
| 357 | |
| 358 | VerifyMinimumName nameChecker(minimumLayerName); |
| 359 | deserializedNetwork->Accept(nameChecker); |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 360 | |
| 361 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 362 | *network, |
| 363 | {info.GetShape(), info.GetShape()}, |
| 364 | {info.GetShape()}, |
| 365 | {0, 1}); |
Aron Virginas-Tar | 0fe3245 | 2019-02-28 13:12:47 +0000 | [diff] [blame] | 366 | } |
| 367 | |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 368 | BOOST_AUTO_TEST_CASE(SerializeDeserializeMaximum) |
Aron Virginas-Tar | 377351e | 2019-02-27 14:42:31 +0000 | [diff] [blame] | 369 | { |
| 370 | class VerifyMaximumName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 371 | { |
| 372 | public: |
| 373 | explicit VerifyMaximumName(const std::string& expectedMaximumLayerName) |
| 374 | : m_ExpectedMaximumLayerName(expectedMaximumLayerName) {} |
| 375 | |
| 376 | void VisitMaximumLayer(const armnn::IConnectableLayer*, const char* name) override |
| 377 | { |
| 378 | BOOST_TEST(name == m_ExpectedMaximumLayerName.c_str()); |
| 379 | } |
| 380 | |
| 381 | private: |
| 382 | std::string m_ExpectedMaximumLayerName; |
| 383 | }; |
| 384 | |
| 385 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 386 | |
| 387 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 388 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 389 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 390 | |
| 391 | const std::string maximumLayerName("maximum"); |
| 392 | |
| 393 | armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(maximumLayerName.c_str()); |
| 394 | inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); |
| 395 | inputLayer1->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(1)); |
| 396 | |
| 397 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 398 | maximumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 399 | |
| 400 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 401 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 402 | maximumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 403 | |
| 404 | armnnSerializer::Serializer serializer; |
| 405 | serializer.Serialize(*network); |
| 406 | |
| 407 | std::stringstream stream; |
| 408 | serializer.SaveSerializedToStream(stream); |
| 409 | BOOST_TEST(stream.str().length() > 0); |
| 410 | BOOST_TEST(stream.str().find(maximumLayerName) != stream.str().npos); |
| 411 | |
| 412 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 413 | BOOST_CHECK(deserializedNetwork); |
| 414 | |
| 415 | VerifyMaximumName nameChecker(maximumLayerName); |
| 416 | deserializedNetwork->Accept(nameChecker); |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 417 | |
| 418 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 419 | *network, |
| 420 | {info.GetShape(), info.GetShape()}, |
| 421 | {info.GetShape()}, |
| 422 | {0, 1}); |
Aron Virginas-Tar | 377351e | 2019-02-27 14:42:31 +0000 | [diff] [blame] | 423 | } |
| 424 | |
Narumol Prangnawarat | 495701f | 2019-03-07 17:31:34 +0000 | [diff] [blame] | 425 | BOOST_AUTO_TEST_CASE(SerializeDeserializeL2Normalization) |
| 426 | { |
| 427 | class VerifyL2NormalizationName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 428 | { |
| 429 | public: |
| 430 | explicit VerifyL2NormalizationName(const std::string& expectedL2NormalizationLayerName) |
| 431 | : m_ExpectedL2NormalizationLayerName(expectedL2NormalizationLayerName) {} |
| 432 | |
| 433 | void VisitL2NormalizationLayer(const armnn::IConnectableLayer*, |
| 434 | const armnn::L2NormalizationDescriptor&, |
| 435 | const char* name) override |
| 436 | { |
| 437 | BOOST_TEST(name == m_ExpectedL2NormalizationLayerName.c_str()); |
| 438 | } |
| 439 | private: |
| 440 | std::string m_ExpectedL2NormalizationLayerName; |
| 441 | }; |
| 442 | |
| 443 | const armnn::TensorInfo info({ 1, 2, 1, 5 }, armnn::DataType::Float32); |
| 444 | |
| 445 | armnn::L2NormalizationDescriptor desc; |
| 446 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 447 | |
| 448 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 449 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 450 | |
| 451 | const char* l2NormLayerName = "l2Normalization"; |
| 452 | |
| 453 | armnn::IConnectableLayer* const l2NormLayer = network->AddL2NormalizationLayer(desc, l2NormLayerName); |
| 454 | inputLayer0->GetOutputSlot(0).Connect(l2NormLayer->GetInputSlot(0)); |
| 455 | |
| 456 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 457 | l2NormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 458 | |
| 459 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 460 | l2NormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 461 | |
| 462 | armnnSerializer::Serializer serializer; |
| 463 | serializer.Serialize(*network); |
| 464 | |
| 465 | std::stringstream stream; |
| 466 | serializer.SaveSerializedToStream(stream); |
| 467 | BOOST_TEST(stream.str().length() > 0); |
| 468 | BOOST_TEST(stream.str().find(l2NormLayerName) != stream.str().npos); |
| 469 | |
| 470 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 471 | BOOST_CHECK(deserializedNetwork); |
| 472 | |
| 473 | VerifyL2NormalizationName nameChecker(l2NormLayerName); |
| 474 | deserializedNetwork->Accept(nameChecker); |
| 475 | |
Jim Flynn | 18ce338 | 2019-03-08 11:08:30 +0000 | [diff] [blame] | 476 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 477 | *network, |
Narumol Prangnawarat | 495701f | 2019-03-07 17:31:34 +0000 | [diff] [blame] | 478 | { info.GetShape() }, |
| 479 | { info.GetShape() }); |
| 480 | } |
| 481 | |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 482 | BOOST_AUTO_TEST_CASE(SerializeDeserializeMultiplication) |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 483 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 484 | class VerifyMultiplicationName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 485 | { |
| 486 | public: |
| 487 | void VisitMultiplicationLayer(const armnn::IConnectableLayer*, const char* name) override |
| 488 | { |
| 489 | BOOST_TEST(name == "multiplication"); |
| 490 | } |
| 491 | }; |
| 492 | |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 493 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 494 | |
| 495 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 496 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 497 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 498 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 499 | const char* multLayerName = "multiplication"; |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 500 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 501 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(multLayerName); |
| 502 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 503 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 504 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 505 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 506 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 507 | |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 508 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 509 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 510 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 511 | |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 512 | armnnSerializer::Serializer serializer; |
| 513 | serializer.Serialize(*network); |
| 514 | |
| 515 | std::stringstream stream; |
| 516 | serializer.SaveSerializedToStream(stream); |
| 517 | BOOST_TEST(stream.str().length() > 0); |
| 518 | BOOST_TEST(stream.str().find(multLayerName) != stream.str().npos); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 519 | |
| 520 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 521 | BOOST_CHECK(deserializedNetwork); |
| 522 | |
| 523 | VerifyMultiplicationName nameChecker; |
| 524 | deserializedNetwork->Accept(nameChecker); |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 525 | |
| 526 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 527 | *network, |
| 528 | {info.GetShape(), info.GetShape()}, |
| 529 | {info.GetShape()}, |
| 530 | {0, 1}); |
Sadik Armagan | 5f45027 | 2019-02-12 14:31:45 +0000 | [diff] [blame] | 531 | } |
| 532 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 533 | BOOST_AUTO_TEST_CASE(SerializeDeserializeConvolution2d) |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 534 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 535 | |
| 536 | class VerifyConvolution2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 537 | { |
| 538 | public: |
| 539 | void VisitConvolution2dLayer(const armnn::IConnectableLayer*, |
| 540 | const armnn::Convolution2dDescriptor&, |
| 541 | const armnn::ConstTensor&, |
| 542 | const armnn::Optional<armnn::ConstTensor>&, |
| 543 | const char* name) override |
| 544 | { |
| 545 | BOOST_TEST(name == "convolution"); |
| 546 | } |
| 547 | }; |
| 548 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 549 | armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 550 | armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 551 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 552 | armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 553 | armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
| 554 | |
| 555 | // Construct network |
| 556 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 557 | |
| 558 | armnn::Convolution2dDescriptor descriptor; |
| 559 | descriptor.m_PadLeft = 1; |
| 560 | descriptor.m_PadRight = 1; |
| 561 | descriptor.m_PadTop = 1; |
| 562 | descriptor.m_PadBottom = 1; |
| 563 | descriptor.m_StrideX = 2; |
| 564 | descriptor.m_StrideY = 2; |
| 565 | descriptor.m_BiasEnabled = true; |
| 566 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 567 | |
| 568 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 569 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 570 | |
| 571 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 572 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 573 | |
| 574 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0, "input"); |
| 575 | armnn::IConnectableLayer* const convLayer = |
| 576 | network->AddConvolution2dLayer(descriptor, weights, biases, "convolution"); |
| 577 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0, "output"); |
| 578 | |
| 579 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 580 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 581 | |
| 582 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 583 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 584 | |
| 585 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 586 | BOOST_CHECK(deserializedNetwork); |
| 587 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 588 | VerifyConvolution2dName nameChecker; |
| 589 | deserializedNetwork->Accept(nameChecker); |
| 590 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 591 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 592 | *network, |
| 593 | {inputInfo.GetShape()}, |
| 594 | {outputInfo.GetShape()}); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 595 | } |
| 596 | |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 597 | BOOST_AUTO_TEST_CASE(SerializeDeserializeGreater) |
| 598 | { |
| 599 | class VerifyGreaterName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 600 | { |
| 601 | public: |
| 602 | void VisitGreaterLayer(const armnn::IConnectableLayer*, const char* name) override |
| 603 | { |
| 604 | BOOST_TEST(name == "greater"); |
| 605 | } |
| 606 | }; |
| 607 | |
| 608 | const armnn::TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, armnn::DataType::Float32); |
| 609 | const armnn::TensorInfo inputTensorInfo2({ 1, 2, 2, 2 }, armnn::DataType::Float32); |
| 610 | const armnn::TensorInfo outputTensorInfo({ 1, 2, 2, 2 }, armnn::DataType::Boolean); |
| 611 | |
| 612 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 613 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 614 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 615 | armnn::IConnectableLayer* const greaterLayer = network->AddGreaterLayer("greater"); |
| 616 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 617 | |
| 618 | inputLayer1->GetOutputSlot(0).Connect(greaterLayer->GetInputSlot(0)); |
| 619 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 620 | inputLayer2->GetOutputSlot(0).Connect(greaterLayer->GetInputSlot(1)); |
| 621 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
| 622 | greaterLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 623 | greaterLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 624 | |
| 625 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 626 | BOOST_CHECK(deserializedNetwork); |
| 627 | |
| 628 | VerifyGreaterName nameChecker; |
| 629 | deserializedNetwork->Accept(nameChecker); |
| 630 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 631 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 632 | *network, |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 633 | {inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()}, |
| 634 | {outputTensorInfo.GetShape()}, |
| 635 | {0, 1}); |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 636 | } |
| 637 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 638 | BOOST_AUTO_TEST_CASE(SerializeDeserializeReshape) |
| 639 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 640 | class VerifyReshapeName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 641 | { |
| 642 | public: |
| 643 | void VisitReshapeLayer(const armnn::IConnectableLayer*, const armnn::ReshapeDescriptor&, const char* name) |
| 644 | { |
| 645 | BOOST_TEST(name == "reshape"); |
| 646 | } |
| 647 | }; |
| 648 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 649 | unsigned int inputShape[] = { 1, 9 }; |
| 650 | unsigned int outputShape[] = { 3, 3 }; |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 651 | |
| 652 | auto inputTensorInfo = armnn::TensorInfo(2, inputShape, armnn::DataType::Float32); |
| 653 | auto outputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::DataType::Float32); |
| 654 | auto reshapeOutputTensorInfo = armnn::TensorInfo(2, outputShape, armnn::DataType::Float32); |
| 655 | |
| 656 | armnn::ReshapeDescriptor reshapeDescriptor; |
| 657 | reshapeDescriptor.m_TargetShape = reshapeOutputTensorInfo.GetShape(); |
| 658 | |
| 659 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 660 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 661 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(reshapeDescriptor, "reshape"); |
| 662 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 663 | |
| 664 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 665 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 666 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 667 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 668 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 669 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 670 | BOOST_CHECK(deserializedNetwork); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 671 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 672 | VerifyReshapeName nameChecker; |
| 673 | deserializedNetwork->Accept(nameChecker); |
| 674 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 675 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 676 | *network, |
| 677 | {inputTensorInfo.GetShape()}, |
| 678 | {outputTensorInfo.GetShape()}); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 679 | } |
| 680 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 681 | BOOST_AUTO_TEST_CASE(SerializeDeserializeDepthwiseConvolution2d) |
| 682 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 683 | class VerifyDepthwiseConvolution2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 684 | { |
| 685 | public: |
| 686 | void VisitDepthwiseConvolution2dLayer(const armnn::IConnectableLayer*, |
| 687 | const armnn::DepthwiseConvolution2dDescriptor&, |
| 688 | const armnn::ConstTensor&, |
| 689 | const armnn::Optional<armnn::ConstTensor>&, |
| 690 | const char* name) override |
| 691 | { |
| 692 | BOOST_TEST(name == "depthwise_convolution"); |
| 693 | } |
| 694 | }; |
| 695 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 696 | armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 697 | armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 698 | |
| 699 | armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 700 | armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 701 | |
| 702 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
| 703 | descriptor.m_StrideX = 1; |
| 704 | descriptor.m_StrideY = 1; |
| 705 | descriptor.m_BiasEnabled = true; |
| 706 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 707 | |
| 708 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 709 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 710 | |
| 711 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 712 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 713 | |
| 714 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 715 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 716 | armnn::IConnectableLayer* const depthwiseConvLayer = |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 717 | network->AddDepthwiseConvolution2dLayer(descriptor, weights, biases, "depthwise_convolution"); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 718 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 719 | |
| 720 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
| 721 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 722 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 723 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 724 | |
| 725 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 726 | BOOST_CHECK(deserializedNetwork); |
| 727 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 728 | VerifyDepthwiseConvolution2dName nameChecker; |
| 729 | deserializedNetwork->Accept(nameChecker); |
| 730 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 731 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 732 | *network, |
| 733 | {inputInfo.GetShape()}, |
| 734 | {outputInfo.GetShape()}); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 735 | } |
| 736 | |
| 737 | BOOST_AUTO_TEST_CASE(SerializeDeserializeSoftmax) |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 738 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 739 | class VerifySoftmaxName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 740 | { |
| 741 | public: |
| 742 | void VisitSoftmaxLayer(const armnn::IConnectableLayer*, const armnn::SoftmaxDescriptor&, const char* name) |
| 743 | { |
| 744 | BOOST_TEST(name == "softmax"); |
| 745 | } |
| 746 | }; |
| 747 | |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 748 | armnn::TensorInfo tensorInfo({1, 10}, armnn::DataType::Float32); |
| 749 | |
| 750 | armnn::SoftmaxDescriptor descriptor; |
| 751 | descriptor.m_Beta = 1.0f; |
| 752 | |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 753 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 754 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 755 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, "softmax"); |
| 756 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 757 | |
| 758 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 759 | inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 760 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 761 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 762 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 763 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 764 | BOOST_CHECK(deserializedNetwork); |
| 765 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 766 | VerifySoftmaxName nameChecker; |
| 767 | deserializedNetwork->Accept(nameChecker); |
| 768 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 769 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 770 | *network, |
| 771 | {tensorInfo.GetShape()}, |
| 772 | {tensorInfo.GetShape()}); |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 773 | } |
| 774 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 775 | BOOST_AUTO_TEST_CASE(SerializeDeserializePooling2d) |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 776 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 777 | class VerifyPooling2dName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 778 | { |
| 779 | void VisitPooling2dLayer(const armnn::IConnectableLayer*, const armnn::Pooling2dDescriptor&, const char* name) |
| 780 | { |
| 781 | BOOST_TEST(name == "pooling2d"); |
| 782 | } |
| 783 | }; |
| 784 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 785 | unsigned int inputShape[] = {1, 2, 2, 1}; |
| 786 | unsigned int outputShape[] = {1, 1, 1, 1}; |
| 787 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 788 | auto inputInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 789 | auto outputInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 790 | |
| 791 | armnn::Pooling2dDescriptor desc; |
| 792 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 793 | desc.m_PadTop = 0; |
| 794 | desc.m_PadBottom = 0; |
| 795 | desc.m_PadLeft = 0; |
| 796 | desc.m_PadRight = 0; |
| 797 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 798 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 799 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 800 | desc.m_PoolHeight = 2; |
| 801 | desc.m_PoolWidth = 2; |
| 802 | desc.m_StrideX = 2; |
| 803 | desc.m_StrideY = 2; |
| 804 | |
| 805 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 806 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 807 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, "pooling2d"); |
| 808 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 809 | |
| 810 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 811 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 812 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 813 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 814 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 815 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 816 | BOOST_CHECK(deserializedNetwork); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 817 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 818 | VerifyPooling2dName nameChecker; |
| 819 | deserializedNetwork->Accept(nameChecker); |
| 820 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 821 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 822 | *network, |
| 823 | {inputInfo.GetShape()}, |
| 824 | {outputInfo.GetShape()}); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 825 | } |
| 826 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 827 | BOOST_AUTO_TEST_CASE(SerializeDeserializePermute) |
| 828 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 829 | class VerifyPermuteName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 830 | { |
| 831 | public: |
| 832 | void VisitPermuteLayer(const armnn::IConnectableLayer*, const armnn::PermuteDescriptor&, const char* name) |
| 833 | { |
| 834 | BOOST_TEST(name == "permute"); |
| 835 | } |
| 836 | }; |
| 837 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 838 | unsigned int inputShape[] = { 4, 3, 2, 1 }; |
| 839 | unsigned int outputShape[] = { 1, 2, 3, 4 }; |
| 840 | unsigned int dimsMapping[] = { 3, 2, 1, 0 }; |
| 841 | |
| 842 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 843 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 844 | |
| 845 | armnn::PermuteDescriptor permuteDescriptor(armnn::PermutationVector(dimsMapping, 4)); |
| 846 | |
| 847 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 848 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 849 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(permuteDescriptor, "permute"); |
| 850 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 851 | |
| 852 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 853 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 854 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 855 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 856 | |
| 857 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 858 | BOOST_CHECK(deserializedNetwork); |
| 859 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 860 | VerifyPermuteName nameChecker; |
| 861 | deserializedNetwork->Accept(nameChecker); |
| 862 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 863 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 864 | *network, |
| 865 | {inputTensorInfo.GetShape()}, |
| 866 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 867 | } |
| 868 | |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 869 | BOOST_AUTO_TEST_CASE(SerializeDeserializeFullyConnected) |
| 870 | { |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 871 | class VerifyFullyConnectedName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 872 | { |
| 873 | public: |
| 874 | void VisitFullyConnectedLayer(const armnn::IConnectableLayer*, |
| 875 | const armnn::FullyConnectedDescriptor&, |
| 876 | const armnn::ConstTensor&, |
| 877 | const armnn::Optional<armnn::ConstTensor>&, |
| 878 | const char* name) override |
| 879 | { |
| 880 | BOOST_TEST(name == "fully_connected"); |
| 881 | } |
| 882 | }; |
| 883 | |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 884 | armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 885 | armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 886 | |
| 887 | armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 888 | armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 889 | |
| 890 | armnn::FullyConnectedDescriptor descriptor; |
| 891 | descriptor.m_BiasEnabled = true; |
| 892 | descriptor.m_TransposeWeightMatrix = false; |
| 893 | |
| 894 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 895 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 896 | |
| 897 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 898 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 899 | |
| 900 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 901 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0, "input"); |
| 902 | armnn::IConnectableLayer* const fullyConnectedLayer = network->AddFullyConnectedLayer(descriptor, |
| 903 | weights, |
| 904 | biases, |
| 905 | "fully_connected"); |
| 906 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0, "output"); |
| 907 | |
| 908 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 909 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 910 | |
| 911 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 912 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 913 | |
| 914 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 915 | BOOST_CHECK(deserializedNetwork); |
| 916 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 917 | VerifyFullyConnectedName nameChecker; |
| 918 | deserializedNetwork->Accept(nameChecker); |
| 919 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 920 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 921 | *network, |
| 922 | {inputInfo.GetShape()}, |
| 923 | {outputInfo.GetShape()}); |
Sadik Armagan | dbb0c0c | 2019-02-21 09:01:41 +0000 | [diff] [blame] | 924 | } |
| 925 | |
Nattapat Chaimanowong | 4528699 | 2019-02-26 15:53:02 +0000 | [diff] [blame] | 926 | BOOST_AUTO_TEST_CASE(SerializeDeserializeSpaceToBatchNd) |
| 927 | { |
| 928 | class VerifySpaceToBatchNdName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 929 | { |
| 930 | public: |
| 931 | void VisitSpaceToBatchNdLayer(const armnn::IConnectableLayer*, |
| 932 | const armnn::SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
| 933 | const char* name) override |
| 934 | { |
| 935 | BOOST_TEST(name == "SpaceToBatchNdLayer"); |
| 936 | } |
| 937 | }; |
| 938 | |
| 939 | unsigned int inputShape[] = {2, 1, 2, 4}; |
| 940 | unsigned int outputShape[] = {8, 1, 1, 3}; |
| 941 | |
| 942 | armnn::SpaceToBatchNdDescriptor desc; |
| 943 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 944 | desc.m_BlockShape = {2, 2}; |
| 945 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 946 | |
| 947 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 948 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 949 | |
| 950 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 951 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 952 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, "SpaceToBatchNdLayer"); |
| 953 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 954 | |
| 955 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 956 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 957 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 958 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 959 | |
| 960 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 961 | BOOST_CHECK(deserializedNetwork); |
| 962 | |
| 963 | VerifySpaceToBatchNdName nameChecker; |
| 964 | deserializedNetwork->Accept(nameChecker); |
| 965 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 966 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 967 | *network, |
| 968 | {inputTensorInfo.GetShape()}, |
| 969 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 4528699 | 2019-02-26 15:53:02 +0000 | [diff] [blame] | 970 | } |
| 971 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 972 | BOOST_AUTO_TEST_CASE(SerializeDeserializeGather) |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 973 | { |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 974 | class VerifyGatherName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 975 | { |
| 976 | public: |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 977 | void VerifyGatherLayer(const armnn::IConnectableLayer *, const char *name) |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 978 | { |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 979 | BOOST_TEST(name == "gatherLayer"); |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 980 | } |
| 981 | }; |
| 982 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 983 | armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::QuantisedAsymm8); |
| 984 | armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32); |
| 985 | armnn::TensorInfo outputInfo({ 3 }, armnn::DataType::QuantisedAsymm8); |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 986 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 987 | paramsInfo.SetQuantizationScale(1.0f); |
| 988 | paramsInfo.SetQuantizationOffset(0); |
| 989 | outputInfo.SetQuantizationScale(1.0f); |
| 990 | outputInfo.SetQuantizationOffset(0); |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 991 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 992 | const std::vector<int32_t>& indicesData = {7, 6, 5}; |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 993 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 994 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 995 | armnn::IConnectableLayer *const constantLayer = |
| 996 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
| 997 | armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer("gatherLayer"); |
| 998 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 999 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1000 | inputLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(0)); |
| 1001 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 1002 | constantLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(1)); |
| 1003 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 1004 | gatherLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1005 | gatherLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 1006 | |
| 1007 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1008 | BOOST_CHECK(deserializedNetwork); |
| 1009 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1010 | VerifyGatherName nameChecker; |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 1011 | deserializedNetwork->Accept(nameChecker); |
| 1012 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1013 | CheckDeserializedNetworkAgainstOriginal<uint8_t>(*deserializedNetwork, |
| 1014 | *network, |
| 1015 | {paramsInfo.GetShape()}, |
| 1016 | {outputInfo.GetShape()}); |
Nattapat Chaimanowong | 6b4ed98 | 2019-02-26 17:24:13 +0000 | [diff] [blame] | 1017 | } |
| 1018 | |
ruoyan01 | 8e7fa23 | 2019-02-28 15:09:07 +0000 | [diff] [blame] | 1019 | BOOST_AUTO_TEST_CASE(SerializeDeserializeBatchNormalization) |
| 1020 | { |
| 1021 | class VerifyBatchNormalizationName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1022 | { |
| 1023 | public: |
| 1024 | void VisitBatchNormalizationLayer(const armnn::IConnectableLayer*, |
| 1025 | const armnn::BatchNormalizationDescriptor&, |
| 1026 | const armnn::ConstTensor&, |
| 1027 | const armnn::ConstTensor&, |
| 1028 | const armnn::ConstTensor&, |
| 1029 | const armnn::ConstTensor&, |
| 1030 | const char* name) override |
| 1031 | { |
ruoyan01 | 5c7ab05 | 2019-03-04 14:48:02 +0000 | [diff] [blame] | 1032 | BOOST_TEST(name == "BatchNormalizationLayer"); |
ruoyan01 | 8e7fa23 | 2019-02-28 15:09:07 +0000 | [diff] [blame] | 1033 | } |
| 1034 | }; |
| 1035 | |
| 1036 | armnn::TensorInfo inputInfo ({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 1037 | armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 1038 | |
| 1039 | armnn::TensorInfo meanInfo({1}, armnn::DataType::Float32); |
| 1040 | armnn::TensorInfo varianceInfo({1}, armnn::DataType::Float32); |
| 1041 | armnn::TensorInfo scaleInfo({1}, armnn::DataType::Float32); |
| 1042 | armnn::TensorInfo offsetInfo({1}, armnn::DataType::Float32); |
| 1043 | |
| 1044 | armnn::BatchNormalizationDescriptor descriptor; |
| 1045 | descriptor.m_Eps = 0.0010000000475f; |
| 1046 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 1047 | |
| 1048 | std::vector<float> meanData({5.0}); |
| 1049 | std::vector<float> varianceData({2.0}); |
| 1050 | std::vector<float> scaleData({1.0}); |
| 1051 | std::vector<float> offsetData({0.0}); |
| 1052 | |
| 1053 | armnn::ConstTensor mean(meanInfo, meanData); |
| 1054 | armnn::ConstTensor variance(varianceInfo, varianceData); |
| 1055 | armnn::ConstTensor scale(scaleInfo, scaleData); |
| 1056 | armnn::ConstTensor offset(offsetInfo, offsetData); |
| 1057 | |
| 1058 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1059 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1060 | armnn::IConnectableLayer* const batchNormalizationLayer = network->AddBatchNormalizationLayer( |
| 1061 | descriptor, |
| 1062 | mean, |
| 1063 | variance, |
| 1064 | scale, |
| 1065 | offset, |
| 1066 | "BatchNormalizationLayer"); |
| 1067 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1068 | |
| 1069 | inputLayer->GetOutputSlot(0).Connect(batchNormalizationLayer->GetInputSlot(0)); |
| 1070 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1071 | |
| 1072 | batchNormalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1073 | batchNormalizationLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1074 | |
| 1075 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1076 | BOOST_CHECK(deserializedNetwork); |
| 1077 | |
| 1078 | VerifyBatchNormalizationName nameChecker; |
| 1079 | deserializedNetwork->Accept(nameChecker); |
| 1080 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 1081 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1082 | *network, |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1083 | {inputInfo.GetShape()}, |
| 1084 | {outputInfo.GetShape()}); |
ruoyan01 | 8e7fa23 | 2019-02-28 15:09:07 +0000 | [diff] [blame] | 1085 | } |
| 1086 | |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 1087 | BOOST_AUTO_TEST_CASE(SerializeDeserializeDivision) |
Éanna Ó Catháin | 5888589 | 2019-02-27 16:16:39 +0000 | [diff] [blame] | 1088 | { |
| 1089 | class VerifyDivisionName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1090 | { |
| 1091 | public: |
| 1092 | void VisitDivisionLayer(const armnn::IConnectableLayer*, const char* name) override |
| 1093 | { |
| 1094 | BOOST_TEST(name == "division"); |
| 1095 | } |
| 1096 | }; |
| 1097 | |
| 1098 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 1099 | |
| 1100 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1101 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1102 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1103 | |
| 1104 | const char* divLayerName = "division"; |
| 1105 | |
| 1106 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(divLayerName); |
| 1107 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 1108 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 1109 | |
| 1110 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1111 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1112 | |
| 1113 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1114 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1115 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1116 | |
| 1117 | armnnSerializer::Serializer serializer; |
| 1118 | serializer.Serialize(*network); |
| 1119 | |
| 1120 | std::stringstream stream; |
| 1121 | serializer.SaveSerializedToStream(stream); |
| 1122 | BOOST_TEST(stream.str().length() > 0); |
| 1123 | BOOST_TEST(stream.str().find(divLayerName) != stream.str().npos); |
| 1124 | |
| 1125 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(stream.str()); |
| 1126 | BOOST_CHECK(deserializedNetwork); |
| 1127 | |
| 1128 | VerifyDivisionName nameChecker; |
| 1129 | deserializedNetwork->Accept(nameChecker); |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 1130 | |
| 1131 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1132 | *network, |
| 1133 | {info.GetShape(), info.GetShape()}, |
| 1134 | {info.GetShape()}, |
| 1135 | {0, 1}); |
Éanna Ó Catháin | 5888589 | 2019-02-27 16:16:39 +0000 | [diff] [blame] | 1136 | } |
| 1137 | |
Nina Drozd | 5772878 | 2019-02-27 10:53:27 +0000 | [diff] [blame] | 1138 | BOOST_AUTO_TEST_CASE(SerializeDeserializeNormalization) |
| 1139 | { |
| 1140 | class VerifyNormalizationName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1141 | { |
| 1142 | public: |
| 1143 | void VisitNormalizationLayer(const armnn::IConnectableLayer*, |
| 1144 | const armnn::NormalizationDescriptor& normalizationDescriptor, |
| 1145 | const char* name) override |
| 1146 | { |
| 1147 | BOOST_TEST(name == "NormalizationLayer"); |
| 1148 | } |
| 1149 | }; |
| 1150 | |
| 1151 | unsigned int inputShape[] = {2, 1, 2, 2}; |
| 1152 | unsigned int outputShape[] = {2, 1, 2, 2}; |
| 1153 | |
| 1154 | armnn::NormalizationDescriptor desc; |
| 1155 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 1156 | desc.m_NormSize = 3; |
| 1157 | desc.m_Alpha = 1; |
| 1158 | desc.m_Beta = 1; |
| 1159 | desc.m_K = 1; |
| 1160 | |
| 1161 | auto inputTensorInfo = armnn::TensorInfo(4, inputShape, armnn::DataType::Float32); |
| 1162 | auto outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 1163 | |
| 1164 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1165 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1166 | armnn::IConnectableLayer* const normalizationLayer = network->AddNormalizationLayer(desc, "NormalizationLayer"); |
| 1167 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1168 | |
| 1169 | inputLayer->GetOutputSlot(0).Connect(normalizationLayer->GetInputSlot(0)); |
| 1170 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1171 | normalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1172 | normalizationLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1173 | |
| 1174 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1175 | BOOST_CHECK(deserializedNetwork); |
| 1176 | |
| 1177 | VerifyNormalizationName nameChecker; |
| 1178 | deserializedNetwork->Accept(nameChecker); |
| 1179 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1180 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1181 | *network, |
| 1182 | {inputTensorInfo.GetShape()}, |
| 1183 | {outputTensorInfo.GetShape()}); |
Nina Drozd | 5772878 | 2019-02-27 10:53:27 +0000 | [diff] [blame] | 1184 | } |
| 1185 | |
Nattapat Chaimanowong | 235cea5 | 2019-02-28 16:27:30 +0000 | [diff] [blame] | 1186 | BOOST_AUTO_TEST_CASE(SerializeDeserializeEqual) |
| 1187 | { |
| 1188 | class VerifyEqualName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1189 | { |
| 1190 | public: |
| 1191 | void VisitEqualLayer(const armnn::IConnectableLayer*, |
| 1192 | const char* name) override |
| 1193 | { |
| 1194 | BOOST_TEST(name == "EqualLayer"); |
| 1195 | } |
| 1196 | }; |
| 1197 | |
| 1198 | const armnn::TensorInfo inputTensorInfo1 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 1199 | const armnn::TensorInfo inputTensorInfo2 = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 1200 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({2, 1, 2, 4}, armnn::DataType::Boolean); |
| 1201 | |
| 1202 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1203 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 1204 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 1205 | armnn::IConnectableLayer* const equalLayer = network->AddEqualLayer("EqualLayer"); |
| 1206 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1207 | |
| 1208 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 1209 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo1); |
| 1210 | inputLayer2->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 1211 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo2); |
| 1212 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1213 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1214 | |
| 1215 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1216 | BOOST_CHECK(deserializedNetwork); |
| 1217 | |
| 1218 | VerifyEqualName nameChecker; |
| 1219 | deserializedNetwork->Accept(nameChecker); |
| 1220 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1221 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 1222 | *network, |
| 1223 | {inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()}, |
| 1224 | {outputTensorInfo.GetShape()}, |
| 1225 | {0, 1}); |
Nattapat Chaimanowong | 235cea5 | 2019-02-28 16:27:30 +0000 | [diff] [blame] | 1226 | } |
Nattapat Chaimanowong | ebb0f9c | 2019-03-01 12:14:06 +0000 | [diff] [blame] | 1227 | |
| 1228 | BOOST_AUTO_TEST_CASE(SerializeDeserializePad) |
| 1229 | { |
| 1230 | class VerifyPadName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1231 | { |
| 1232 | public: |
| 1233 | void VisitPadLayer(const armnn::IConnectableLayer*, |
| 1234 | const armnn::PadDescriptor& descriptor, |
| 1235 | const char* name) override |
| 1236 | { |
| 1237 | BOOST_TEST(name == "PadLayer"); |
| 1238 | } |
| 1239 | }; |
| 1240 | |
| 1241 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1242 | |
| 1243 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1244 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1245 | |
| 1246 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1247 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1248 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, "PadLayer"); |
| 1249 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1250 | |
| 1251 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1252 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1253 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1254 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1255 | |
| 1256 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1257 | BOOST_CHECK(deserializedNetwork); |
| 1258 | |
| 1259 | VerifyPadName nameChecker; |
| 1260 | deserializedNetwork->Accept(nameChecker); |
| 1261 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1262 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 1263 | *network, |
| 1264 | {inputTensorInfo.GetShape()}, |
| 1265 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | ebb0f9c | 2019-03-01 12:14:06 +0000 | [diff] [blame] | 1266 | } |
| 1267 | |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 1268 | BOOST_AUTO_TEST_CASE(SerializeDeserializeRsqrt) |
Sadik Armagan | 8b42a38 | 2019-03-01 14:24:49 +0000 | [diff] [blame] | 1269 | { |
| 1270 | class VerifyRsqrtName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1271 | { |
| 1272 | public: |
| 1273 | void VisitRsqrtLayer(const armnn::IConnectableLayer*, const char* name) override |
| 1274 | { |
| 1275 | BOOST_TEST(name == "rsqrt"); |
| 1276 | } |
| 1277 | }; |
| 1278 | |
| 1279 | const armnn::TensorInfo tensorInfo({ 3, 1, 2 }, armnn::DataType::Float32); |
| 1280 | |
| 1281 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1282 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1283 | armnn::IConnectableLayer* const rsqrtLayer = network->AddRsqrtLayer("rsqrt"); |
| 1284 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1285 | |
| 1286 | inputLayer->GetOutputSlot(0).Connect(rsqrtLayer->GetInputSlot(0)); |
| 1287 | rsqrtLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1288 | |
| 1289 | inputLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 1290 | rsqrtLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 1291 | |
| 1292 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1293 | BOOST_CHECK(deserializedNetwork); |
| 1294 | |
| 1295 | VerifyRsqrtName nameChecker; |
| 1296 | deserializedNetwork->Accept(nameChecker); |
| 1297 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1298 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1299 | *network, |
| 1300 | {tensorInfo.GetShape()}, |
| 1301 | {tensorInfo.GetShape()}); |
Sadik Armagan | 8b42a38 | 2019-03-01 14:24:49 +0000 | [diff] [blame] | 1302 | } |
| 1303 | |
Nattapat Chaimanowong | 6522cdc | 2019-03-01 16:14:13 +0000 | [diff] [blame] | 1304 | BOOST_AUTO_TEST_CASE(SerializeDeserializeResizeBilinear) |
| 1305 | { |
| 1306 | class VerifyResizeBilinearName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1307 | { |
| 1308 | public: |
| 1309 | void VisitResizeBilinearLayer(const armnn::IConnectableLayer*, |
| 1310 | const armnn::ResizeBilinearDescriptor& descriptor, |
| 1311 | const char* name) override |
| 1312 | { |
| 1313 | BOOST_TEST(name == "ResizeBilinearLayer"); |
| 1314 | } |
| 1315 | }; |
| 1316 | |
| 1317 | armnn::ResizeBilinearDescriptor desc; |
| 1318 | desc.m_TargetWidth = 4; |
| 1319 | desc.m_TargetHeight = 2; |
| 1320 | |
| 1321 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 1322 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 1323 | |
| 1324 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1325 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1326 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeBilinearLayer(desc, "ResizeBilinearLayer"); |
| 1327 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1328 | |
| 1329 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 1330 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1331 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1332 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1333 | |
| 1334 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1335 | BOOST_CHECK(deserializedNetwork); |
| 1336 | |
| 1337 | VerifyResizeBilinearName nameChecker; |
| 1338 | deserializedNetwork->Accept(nameChecker); |
| 1339 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1340 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1341 | *network, |
| 1342 | {inputTensorInfo.GetShape()}, |
| 1343 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | 6522cdc | 2019-03-01 16:14:13 +0000 | [diff] [blame] | 1344 | } |
| 1345 | |
Conor Kennedy | da1f975 | 2019-03-01 14:37:12 +0000 | [diff] [blame] | 1346 | BOOST_AUTO_TEST_CASE(SerializeDeserializeSubtraction) |
| 1347 | { |
| 1348 | class VerifySubtractionName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1349 | { |
| 1350 | public: |
| 1351 | void VisitSubtractionLayer(const armnn::IConnectableLayer*, const char* name) override |
| 1352 | { |
| 1353 | BOOST_TEST(name == "subtraction"); |
| 1354 | } |
| 1355 | }; |
| 1356 | |
| 1357 | const armnn::TensorInfo info = armnn::TensorInfo({ 1, 4 }, armnn::DataType::Float32); |
| 1358 | |
| 1359 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1360 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1361 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1362 | armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer("subtraction"); |
| 1363 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1364 | |
| 1365 | inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0)); |
| 1366 | inputLayer1->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(1)); |
| 1367 | subtractionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1368 | |
| 1369 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1370 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1371 | subtractionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1372 | |
| 1373 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1374 | BOOST_CHECK(deserializedNetwork); |
| 1375 | |
| 1376 | VerifySubtractionName nameChecker; |
| 1377 | deserializedNetwork->Accept(nameChecker); |
| 1378 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1379 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1380 | *network, |
| 1381 | {info.GetShape(), info.GetShape()}, |
| 1382 | {info.GetShape()}, |
| 1383 | {0, 1}); |
Conor Kennedy | da1f975 | 2019-03-01 14:37:12 +0000 | [diff] [blame] | 1384 | } |
| 1385 | |
Nattapat Chaimanowong | b348521 | 2019-03-04 12:35:39 +0000 | [diff] [blame] | 1386 | BOOST_AUTO_TEST_CASE(SerializeDeserializeStridedSlice) |
| 1387 | { |
| 1388 | class VerifyStridedSliceName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1389 | { |
| 1390 | public: |
| 1391 | void VisitStridedSliceLayer(const armnn::IConnectableLayer*, |
| 1392 | const armnn::StridedSliceDescriptor& descriptor, |
| 1393 | const char* name) override |
| 1394 | { |
| 1395 | BOOST_TEST(name == "StridedSliceLayer"); |
| 1396 | } |
| 1397 | }; |
| 1398 | |
| 1399 | armnn::StridedSliceDescriptor desc({0, 0, 1, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}); |
| 1400 | desc.m_EndMask = (1 << 4) - 1; |
| 1401 | desc.m_ShrinkAxisMask = (1 << 1) | (1 << 2); |
| 1402 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 1403 | |
| 1404 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 1405 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({3, 1}, armnn::DataType::Float32); |
| 1406 | |
| 1407 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1408 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1409 | armnn::IConnectableLayer* const stridedSliceLayer = network->AddStridedSliceLayer(desc, "StridedSliceLayer"); |
| 1410 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1411 | |
| 1412 | inputLayer->GetOutputSlot(0).Connect(stridedSliceLayer->GetInputSlot(0)); |
| 1413 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1414 | stridedSliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1415 | stridedSliceLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1416 | |
| 1417 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1418 | BOOST_CHECK(deserializedNetwork); |
| 1419 | |
| 1420 | VerifyStridedSliceName nameChecker; |
| 1421 | deserializedNetwork->Accept(nameChecker); |
| 1422 | |
Saoirse Stewart | a1ed73a | 2019-03-04 13:40:12 +0000 | [diff] [blame] | 1423 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1424 | *network, |
| 1425 | {inputTensorInfo.GetShape()}, |
| 1426 | {outputTensorInfo.GetShape()}); |
Nattapat Chaimanowong | b348521 | 2019-03-04 12:35:39 +0000 | [diff] [blame] | 1427 | } |
| 1428 | |
Sadik Armagan | ac97c8c | 2019-03-04 17:44:21 +0000 | [diff] [blame] | 1429 | BOOST_AUTO_TEST_CASE(SerializeDeserializeMean) |
| 1430 | { |
| 1431 | class VerifyMeanName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1432 | { |
| 1433 | public: |
| 1434 | void VisitMeanLayer(const armnn::IConnectableLayer*, const armnn::MeanDescriptor&, const char* name) |
| 1435 | { |
| 1436 | BOOST_TEST(name == "mean"); |
| 1437 | } |
| 1438 | }; |
| 1439 | |
| 1440 | armnn::TensorInfo inputTensorInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1441 | armnn::TensorInfo outputTensorInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1442 | |
| 1443 | armnn::MeanDescriptor descriptor; |
| 1444 | descriptor.m_Axis = { 2 }; |
| 1445 | descriptor.m_KeepDims = true; |
| 1446 | |
| 1447 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1448 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1449 | armnn::IConnectableLayer* const meanLayer = network->AddMeanLayer(descriptor, "mean"); |
| 1450 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1451 | |
| 1452 | inputLayer->GetOutputSlot(0).Connect(meanLayer->GetInputSlot(0)); |
| 1453 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1454 | meanLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1455 | meanLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1456 | |
| 1457 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1458 | BOOST_CHECK(deserializedNetwork); |
| 1459 | |
| 1460 | VerifyMeanName nameChecker; |
| 1461 | deserializedNetwork->Accept(nameChecker); |
| 1462 | |
| 1463 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1464 | *network, |
| 1465 | {inputTensorInfo.GetShape()}, |
| 1466 | {outputTensorInfo.GetShape()}); |
| 1467 | } |
| 1468 | |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 1469 | BOOST_AUTO_TEST_CASE(SerializeDeserializeMerger) |
| 1470 | { |
| 1471 | class VerifyMergerName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1472 | { |
| 1473 | public: |
| 1474 | void VisitMergerLayer(const armnn::IConnectableLayer* layer, |
| 1475 | const armnn::OriginsDescriptor& mergerDescriptor, |
| 1476 | const char* name = nullptr) override |
| 1477 | { |
| 1478 | BOOST_TEST(name == "MergerLayer"); |
| 1479 | } |
| 1480 | }; |
| 1481 | |
| 1482 | unsigned int inputShapeOne[] = {2, 3, 2, 2}; |
| 1483 | unsigned int inputShapeTwo[] = {2, 3, 2, 2}; |
| 1484 | unsigned int outputShape[] = {4, 3, 2, 2}; |
| 1485 | |
| 1486 | const armnn::TensorInfo inputOneTensorInfo = armnn::TensorInfo(4, inputShapeOne, armnn::DataType::Float32); |
| 1487 | const armnn::TensorInfo inputTwoTensorInfo = armnn::TensorInfo(4, inputShapeTwo, armnn::DataType::Float32); |
| 1488 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo(4, outputShape, armnn::DataType::Float32); |
| 1489 | |
| 1490 | std::vector<armnn::TensorShape> shapes; |
| 1491 | shapes.push_back(inputOneTensorInfo.GetShape()); |
| 1492 | shapes.push_back(inputTwoTensorInfo.GetShape()); |
| 1493 | |
| 1494 | armnn::MergerDescriptor descriptor = |
| 1495 | armnn::CreateMergerDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
| 1496 | |
| 1497 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1498 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1499 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputOneTensorInfo); |
| 1500 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
| 1501 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputTwoTensorInfo); |
| 1502 | armnn::IConnectableLayer* const mergerLayer = network->AddMergerLayer(descriptor, "MergerLayer"); |
| 1503 | mergerLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1504 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1505 | |
| 1506 | inputLayerOne->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(0)); |
| 1507 | inputLayerTwo->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(1)); |
| 1508 | mergerLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1509 | |
| 1510 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1511 | BOOST_CHECK(deserializedNetwork); |
| 1512 | |
| 1513 | VerifyMergerName nameChecker; |
| 1514 | deserializedNetwork->Accept(nameChecker); |
| 1515 | |
| 1516 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1517 | *network, |
| 1518 | {inputOneTensorInfo.GetShape(), inputTwoTensorInfo.GetShape()}, |
| 1519 | {outputTensorInfo.GetShape()}, |
| 1520 | {0, 1}); |
| 1521 | } |
| 1522 | |
Jim Flynn | 18ce338 | 2019-03-08 11:08:30 +0000 | [diff] [blame] | 1523 | BOOST_AUTO_TEST_CASE(SerializeDeserializeSplitter) |
| 1524 | { |
| 1525 | class VerifySplitterName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1526 | { |
| 1527 | public: |
| 1528 | void VisitSplitterLayer(const armnn::IConnectableLayer*, |
| 1529 | const armnn::ViewsDescriptor& viewsDescriptor, |
| 1530 | const char* name) override |
| 1531 | { |
| 1532 | BOOST_TEST(name == "splitter"); |
| 1533 | } |
| 1534 | }; |
| 1535 | |
| 1536 | unsigned int numViews = 3; |
| 1537 | unsigned int numDimensions = 4; |
| 1538 | unsigned int inputShape[] = {1,18, 4, 4}; |
| 1539 | unsigned int outputShape[] = {1, 6, 4, 4}; |
| 1540 | |
| 1541 | auto inputTensorInfo = armnn::TensorInfo(numDimensions, inputShape, armnn::DataType::Float32); |
| 1542 | auto outputTensorInfo = armnn::TensorInfo(numDimensions, outputShape, armnn::DataType::Float32); |
| 1543 | |
| 1544 | // This is modelled on how the caffe parser sets up a splitter layer to partition an input |
| 1545 | // along dimension one. |
| 1546 | unsigned int splitterDimSizes[4] = {static_cast<unsigned int>(inputShape[0]), |
| 1547 | static_cast<unsigned int>(inputShape[1]), |
| 1548 | static_cast<unsigned int>(inputShape[2]), |
| 1549 | static_cast<unsigned int>(inputShape[3])}; |
| 1550 | splitterDimSizes[1] /= numViews; |
| 1551 | armnn::ViewsDescriptor desc(numViews, numDimensions); |
| 1552 | |
| 1553 | for (unsigned int g = 0; g < numViews; ++g) |
| 1554 | { |
| 1555 | desc.SetViewOriginCoord(g, 1, splitterDimSizes[1] * g); |
| 1556 | |
| 1557 | // Set the size of the views. |
| 1558 | for (unsigned int dimIdx=0; dimIdx < 4; dimIdx++) |
| 1559 | { |
| 1560 | desc.SetViewSize(g, dimIdx, splitterDimSizes[dimIdx]); |
| 1561 | } |
| 1562 | } |
| 1563 | |
| 1564 | const char* splitterLayerName = "splitter"; |
| 1565 | |
| 1566 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1567 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1568 | armnn::IConnectableLayer* const splitterLayer = network->AddSplitterLayer(desc, splitterLayerName); |
| 1569 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 1570 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 1571 | armnn::IConnectableLayer* const outputLayer2 = network->AddOutputLayer(2); |
| 1572 | |
| 1573 | inputLayer->GetOutputSlot(0).Connect(splitterLayer->GetInputSlot(0)); |
| 1574 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1575 | splitterLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 1576 | splitterLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1577 | splitterLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 1578 | splitterLayer->GetOutputSlot(1).SetTensorInfo(outputTensorInfo); |
| 1579 | splitterLayer->GetOutputSlot(2).Connect(outputLayer2->GetInputSlot(0)); |
| 1580 | splitterLayer->GetOutputSlot(2).SetTensorInfo(outputTensorInfo); |
| 1581 | |
| 1582 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1583 | BOOST_CHECK(deserializedNetwork); |
| 1584 | |
| 1585 | VerifySplitterName nameChecker; |
| 1586 | deserializedNetwork->Accept(nameChecker); |
| 1587 | |
| 1588 | CheckDeserializedNetworkAgainstOriginal<float>(*deserializedNetwork, |
| 1589 | *network, |
| 1590 | {inputTensorInfo.GetShape()}, |
| 1591 | {outputTensorInfo.GetShape(), |
| 1592 | outputTensorInfo.GetShape(), |
| 1593 | outputTensorInfo.GetShape()}, |
| 1594 | {0}, |
| 1595 | {0, 1, 2}); |
| 1596 | } |
| 1597 | |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame^] | 1598 | BOOST_AUTO_TEST_CASE(SerializeDeserializeDetectionPostProcess) |
| 1599 | { |
| 1600 | class VerifyDetectionPostProcessName : public armnn::LayerVisitorBase<armnn::VisitorNoThrowPolicy> |
| 1601 | { |
| 1602 | public: |
| 1603 | void VisitDetectionPostProcessLayer(const armnn::IConnectableLayer* layer, |
| 1604 | const armnn::DetectionPostProcessDescriptor& descriptor, |
| 1605 | const armnn::ConstTensor& anchors, |
| 1606 | const char* name) override |
| 1607 | { |
| 1608 | BOOST_TEST(name == "DetectionPostProcessLayer"); |
| 1609 | } |
| 1610 | }; |
| 1611 | |
| 1612 | const armnn::TensorInfo inputInfos[] = { |
| 1613 | armnn::TensorInfo({ 1, 6, 4 }, armnn::DataType::Float32), |
| 1614 | armnn::TensorInfo({ 1, 6, 3}, armnn::DataType::Float32) |
| 1615 | }; |
| 1616 | |
| 1617 | const armnn::TensorInfo outputInfos[] = { |
| 1618 | armnn::TensorInfo({ 1, 3, 4 }, armnn::DataType::Float32), |
| 1619 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 1620 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 1621 | armnn::TensorInfo({ 1 }, armnn::DataType::Float32) |
| 1622 | }; |
| 1623 | |
| 1624 | armnn::DetectionPostProcessDescriptor desc; |
| 1625 | desc.m_UseRegularNms = true; |
| 1626 | desc.m_MaxDetections = 3; |
| 1627 | desc.m_MaxClassesPerDetection = 1; |
| 1628 | desc.m_DetectionsPerClass =1; |
| 1629 | desc.m_NmsScoreThreshold = 0.0; |
| 1630 | desc.m_NmsIouThreshold = 0.5; |
| 1631 | desc.m_NumClasses = 2; |
| 1632 | desc.m_ScaleY = 10.0; |
| 1633 | desc.m_ScaleX = 10.0; |
| 1634 | desc.m_ScaleH = 5.0; |
| 1635 | desc.m_ScaleW = 5.0; |
| 1636 | |
| 1637 | const armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32); |
| 1638 | const std::vector<float> anchorsData({ |
| 1639 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 1640 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 1641 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 1642 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 1643 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 1644 | 0.5f, 100.5f, 1.0f, 1.0f |
| 1645 | }); |
| 1646 | armnn::ConstTensor anchors(anchorsInfo, anchorsData); |
| 1647 | |
| 1648 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1649 | |
| 1650 | armnn::IConnectableLayer* const detectionLayer = |
| 1651 | network->AddDetectionPostProcessLayer(desc, anchors, "DetectionPostProcessLayer"); |
| 1652 | |
| 1653 | for (unsigned int i = 0; i < 2; i++) |
| 1654 | { |
| 1655 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(static_cast<int>(i)); |
| 1656 | inputLayer->GetOutputSlot(0).Connect(detectionLayer->GetInputSlot(i)); |
| 1657 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfos[i]); |
| 1658 | } |
| 1659 | |
| 1660 | for (unsigned int i = 0; i < 4; i++) |
| 1661 | { |
| 1662 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(static_cast<int>(i)); |
| 1663 | detectionLayer->GetOutputSlot(i).Connect(outputLayer->GetInputSlot(0)); |
| 1664 | detectionLayer->GetOutputSlot(i).SetTensorInfo(outputInfos[i]); |
| 1665 | } |
| 1666 | |
| 1667 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1668 | BOOST_CHECK(deserializedNetwork); |
| 1669 | |
| 1670 | VerifyDetectionPostProcessName nameChecker; |
| 1671 | deserializedNetwork->Accept(nameChecker); |
| 1672 | |
| 1673 | CheckDeserializedNetworkAgainstOriginal<float>( |
| 1674 | *network, |
| 1675 | *deserializedNetwork, |
| 1676 | {inputInfos[0].GetShape(), inputInfos[1].GetShape()}, |
| 1677 | {outputInfos[0].GetShape(), outputInfos[1].GetShape(), outputInfos[2].GetShape(), outputInfos[3].GetShape()}, |
| 1678 | {0, 1}, |
| 1679 | {0, 1, 2, 3}); |
| 1680 | } |
| 1681 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 1682 | BOOST_AUTO_TEST_SUITE_END() |