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 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 6 | #include "../Serializer.hpp" |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 7 | |
Matthew Bentham | ff130e2 | 2020-01-17 11:47:42 +0000 | [diff] [blame] | 8 | #include <armnn/Descriptors.hpp> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 9 | #include <armnn/INetwork.hpp> |
Matthew Bentham | ff130e2 | 2020-01-17 11:47:42 +0000 | [diff] [blame] | 10 | #include <armnn/TypesUtils.hpp> |
| 11 | #include <armnn/LstmParams.hpp> |
| 12 | #include <armnn/QuantizedLstmParams.hpp> |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 13 | #include <armnnDeserializer/IDeserializer.hpp> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 14 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 15 | #include <random> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 16 | #include <vector> |
| 17 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 18 | #include <boost/test/unit_test.hpp> |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 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 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 25 | #define DECLARE_LAYER_VERIFIER_CLASS(name) \ |
| 26 | class name##LayerVerifier : public LayerVerifierBase \ |
| 27 | { \ |
| 28 | public: \ |
| 29 | name##LayerVerifier(const std::string& layerName, \ |
| 30 | const std::vector<armnn::TensorInfo>& inputInfos, \ |
| 31 | const std::vector<armnn::TensorInfo>& outputInfos) \ |
| 32 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} \ |
| 33 | \ |
| 34 | void Visit##name##Layer(const armnn::IConnectableLayer* layer, const char* name) override \ |
| 35 | { \ |
| 36 | VerifyNameAndConnections(layer, name); \ |
| 37 | } \ |
| 38 | }; |
| 39 | |
| 40 | #define DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(name) \ |
| 41 | class name##LayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::name##Descriptor> \ |
| 42 | { \ |
| 43 | public: \ |
| 44 | name##LayerVerifier(const std::string& layerName, \ |
| 45 | const std::vector<armnn::TensorInfo>& inputInfos, \ |
| 46 | const std::vector<armnn::TensorInfo>& outputInfos, \ |
| 47 | const armnn::name##Descriptor& descriptor) \ |
| 48 | : LayerVerifierBaseWithDescriptor<armnn::name##Descriptor>( \ |
| 49 | layerName, inputInfos, outputInfos, descriptor) {} \ |
| 50 | \ |
| 51 | void Visit##name##Layer(const armnn::IConnectableLayer* layer, \ |
| 52 | const armnn::name##Descriptor& descriptor, \ |
| 53 | const char* name) override \ |
| 54 | { \ |
| 55 | VerifyNameAndConnections(layer, name); \ |
| 56 | VerifyDescriptor(descriptor); \ |
| 57 | } \ |
| 58 | }; |
| 59 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 60 | struct DefaultLayerVerifierPolicy |
| 61 | { |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 62 | static void Apply(const std::string) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 63 | { |
| 64 | BOOST_TEST_MESSAGE("Unexpected layer found in network"); |
| 65 | BOOST_TEST(false); |
| 66 | } |
| 67 | }; |
| 68 | |
| 69 | class LayerVerifierBase : public armnn::LayerVisitorBase<DefaultLayerVerifierPolicy> |
| 70 | { |
| 71 | public: |
| 72 | LayerVerifierBase(const std::string& layerName, |
| 73 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 74 | const std::vector<armnn::TensorInfo>& outputInfos) |
| 75 | : m_LayerName(layerName) |
| 76 | , m_InputTensorInfos(inputInfos) |
| 77 | , m_OutputTensorInfos(outputInfos) {} |
| 78 | |
| 79 | void VisitInputLayer(const armnn::IConnectableLayer*, armnn::LayerBindingId, const char*) override {} |
| 80 | |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 81 | void VisitOutputLayer(const armnn::IConnectableLayer*, armnn::LayerBindingId, const char*) override {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 82 | |
| 83 | protected: |
| 84 | void VerifyNameAndConnections(const armnn::IConnectableLayer* layer, const char* name) |
| 85 | { |
| 86 | BOOST_TEST(name == m_LayerName.c_str()); |
| 87 | |
| 88 | BOOST_TEST(layer->GetNumInputSlots() == m_InputTensorInfos.size()); |
| 89 | BOOST_TEST(layer->GetNumOutputSlots() == m_OutputTensorInfos.size()); |
| 90 | |
| 91 | for (unsigned int i = 0; i < m_InputTensorInfos.size(); i++) |
| 92 | { |
| 93 | const armnn::IOutputSlot* connectedOutput = layer->GetInputSlot(i).GetConnection(); |
| 94 | BOOST_CHECK(connectedOutput); |
| 95 | |
| 96 | const armnn::TensorInfo& connectedInfo = connectedOutput->GetTensorInfo(); |
| 97 | BOOST_TEST(connectedInfo.GetShape() == m_InputTensorInfos[i].GetShape()); |
| 98 | BOOST_TEST( |
| 99 | GetDataTypeName(connectedInfo.GetDataType()) == GetDataTypeName(m_InputTensorInfos[i].GetDataType())); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 100 | |
| 101 | BOOST_TEST(connectedInfo.GetQuantizationScale() == m_InputTensorInfos[i].GetQuantizationScale()); |
| 102 | BOOST_TEST(connectedInfo.GetQuantizationOffset() == m_InputTensorInfos[i].GetQuantizationOffset()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 103 | } |
| 104 | |
| 105 | for (unsigned int i = 0; i < m_OutputTensorInfos.size(); i++) |
| 106 | { |
| 107 | const armnn::TensorInfo& outputInfo = layer->GetOutputSlot(i).GetTensorInfo(); |
| 108 | BOOST_TEST(outputInfo.GetShape() == m_OutputTensorInfos[i].GetShape()); |
| 109 | BOOST_TEST( |
| 110 | GetDataTypeName(outputInfo.GetDataType()) == GetDataTypeName(m_OutputTensorInfos[i].GetDataType())); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 111 | |
| 112 | BOOST_TEST(outputInfo.GetQuantizationScale() == m_OutputTensorInfos[i].GetQuantizationScale()); |
| 113 | BOOST_TEST(outputInfo.GetQuantizationOffset() == m_OutputTensorInfos[i].GetQuantizationOffset()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 114 | } |
| 115 | } |
| 116 | |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 117 | void VerifyConstTensors(const std::string& tensorName, |
| 118 | const armnn::ConstTensor* expectedPtr, |
| 119 | const armnn::ConstTensor* actualPtr) |
| 120 | { |
| 121 | if (expectedPtr == nullptr) |
| 122 | { |
| 123 | BOOST_CHECK_MESSAGE(actualPtr == nullptr, tensorName + " should not exist"); |
| 124 | } |
| 125 | else |
| 126 | { |
| 127 | BOOST_CHECK_MESSAGE(actualPtr != nullptr, tensorName + " should have been set"); |
| 128 | if (actualPtr != nullptr) |
| 129 | { |
| 130 | const armnn::TensorInfo& expectedInfo = expectedPtr->GetInfo(); |
| 131 | const armnn::TensorInfo& actualInfo = actualPtr->GetInfo(); |
| 132 | |
| 133 | BOOST_CHECK_MESSAGE(expectedInfo.GetShape() == actualInfo.GetShape(), |
| 134 | tensorName + " shapes don't match"); |
| 135 | BOOST_CHECK_MESSAGE( |
| 136 | GetDataTypeName(expectedInfo.GetDataType()) == GetDataTypeName(actualInfo.GetDataType()), |
| 137 | tensorName + " data types don't match"); |
| 138 | |
| 139 | BOOST_CHECK_MESSAGE(expectedPtr->GetNumBytes() == actualPtr->GetNumBytes(), |
| 140 | tensorName + " (GetNumBytes) data sizes do not match"); |
| 141 | if (expectedPtr->GetNumBytes() == actualPtr->GetNumBytes()) |
| 142 | { |
| 143 | //check the data is identical |
| 144 | const char* expectedData = static_cast<const char*>(expectedPtr->GetMemoryArea()); |
| 145 | const char* actualData = static_cast<const char*>(actualPtr->GetMemoryArea()); |
| 146 | bool same = true; |
| 147 | for (unsigned int i = 0; i < expectedPtr->GetNumBytes(); ++i) |
| 148 | { |
| 149 | same = expectedData[i] == actualData[i]; |
| 150 | if (!same) |
| 151 | { |
| 152 | break; |
| 153 | } |
| 154 | } |
| 155 | BOOST_CHECK_MESSAGE(same, tensorName + " data does not match"); |
| 156 | } |
| 157 | } |
| 158 | } |
| 159 | } |
| 160 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 161 | private: |
| 162 | std::string m_LayerName; |
| 163 | std::vector<armnn::TensorInfo> m_InputTensorInfos; |
| 164 | std::vector<armnn::TensorInfo> m_OutputTensorInfos; |
| 165 | }; |
| 166 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 167 | template<typename Descriptor> |
| 168 | class LayerVerifierBaseWithDescriptor : public LayerVerifierBase |
| 169 | { |
| 170 | public: |
| 171 | LayerVerifierBaseWithDescriptor(const std::string& layerName, |
| 172 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 173 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 174 | const Descriptor& descriptor) |
| 175 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 176 | , m_Descriptor(descriptor) {} |
| 177 | |
| 178 | protected: |
| 179 | void VerifyDescriptor(const Descriptor& descriptor) |
| 180 | { |
| 181 | BOOST_CHECK(descriptor == m_Descriptor); |
| 182 | } |
| 183 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 184 | Descriptor m_Descriptor; |
| 185 | }; |
| 186 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 187 | template<typename T> |
| 188 | void CompareConstTensorData(const void* data1, const void* data2, unsigned int numElements) |
| 189 | { |
| 190 | T typedData1 = static_cast<T>(data1); |
| 191 | T typedData2 = static_cast<T>(data2); |
| 192 | BOOST_CHECK(typedData1); |
| 193 | BOOST_CHECK(typedData2); |
| 194 | |
| 195 | for (unsigned int i = 0; i < numElements; i++) |
| 196 | { |
| 197 | BOOST_TEST(typedData1[i] == typedData2[i]); |
| 198 | } |
| 199 | } |
| 200 | |
| 201 | void CompareConstTensor(const armnn::ConstTensor& tensor1, const armnn::ConstTensor& tensor2) |
| 202 | { |
| 203 | BOOST_TEST(tensor1.GetShape() == tensor2.GetShape()); |
| 204 | BOOST_TEST(GetDataTypeName(tensor1.GetDataType()) == GetDataTypeName(tensor2.GetDataType())); |
| 205 | |
| 206 | switch (tensor1.GetDataType()) |
| 207 | { |
| 208 | case armnn::DataType::Float32: |
| 209 | CompareConstTensorData<const float*>( |
| 210 | tensor1.GetMemoryArea(), tensor2.GetMemoryArea(), tensor1.GetNumElements()); |
| 211 | break; |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 212 | case armnn::DataType::QAsymmU8: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 213 | case armnn::DataType::Boolean: |
| 214 | CompareConstTensorData<const uint8_t*>( |
| 215 | tensor1.GetMemoryArea(), tensor2.GetMemoryArea(), tensor1.GetNumElements()); |
| 216 | break; |
| 217 | case armnn::DataType::Signed32: |
| 218 | CompareConstTensorData<const int32_t*>( |
| 219 | tensor1.GetMemoryArea(), tensor2.GetMemoryArea(), tensor1.GetNumElements()); |
| 220 | break; |
| 221 | default: |
| 222 | // Note that Float16 is not yet implemented |
| 223 | BOOST_TEST_MESSAGE("Unexpected datatype"); |
| 224 | BOOST_TEST(false); |
| 225 | } |
| 226 | } |
| 227 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 228 | armnn::INetworkPtr DeserializeNetwork(const std::string& serializerString) |
| 229 | { |
| 230 | std::vector<std::uint8_t> const serializerVector{serializerString.begin(), serializerString.end()}; |
Derek Lamberti | 0028d1b | 2019-02-20 13:57:42 +0000 | [diff] [blame] | 231 | return IDeserializer::Create()->CreateNetworkFromBinary(serializerVector); |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 232 | } |
| 233 | |
| 234 | std::string SerializeNetwork(const armnn::INetwork& network) |
| 235 | { |
| 236 | armnnSerializer::Serializer serializer; |
| 237 | serializer.Serialize(network); |
| 238 | |
| 239 | std::stringstream stream; |
| 240 | serializer.SaveSerializedToStream(stream); |
| 241 | |
| 242 | std::string serializerString{stream.str()}; |
| 243 | return serializerString; |
| 244 | } |
| 245 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 246 | template<typename DataType> |
| 247 | static std::vector<DataType> GenerateRandomData(size_t size) |
| 248 | { |
| 249 | constexpr bool isIntegerType = std::is_integral<DataType>::value; |
| 250 | using Distribution = |
| 251 | typename std::conditional<isIntegerType, |
| 252 | std::uniform_int_distribution<DataType>, |
| 253 | std::uniform_real_distribution<DataType>>::type; |
| 254 | |
| 255 | static constexpr DataType lowerLimit = std::numeric_limits<DataType>::min(); |
| 256 | static constexpr DataType upperLimit = std::numeric_limits<DataType>::max(); |
| 257 | |
| 258 | static Distribution distribution(lowerLimit, upperLimit); |
| 259 | static std::default_random_engine generator; |
| 260 | |
| 261 | std::vector<DataType> randomData(size); |
| 262 | std::generate(randomData.begin(), randomData.end(), []() { return distribution(generator); }); |
| 263 | |
| 264 | return randomData; |
| 265 | } |
| 266 | |
Saoirse Stewart | 3166c3e | 2019-02-18 15:24:53 +0000 | [diff] [blame] | 267 | } // anonymous namespace |
| 268 | |
| 269 | BOOST_AUTO_TEST_SUITE(SerializerTests) |
Aron Virginas-Tar | fc413c0 | 2019-02-13 15:41:52 +0000 | [diff] [blame] | 270 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 271 | BOOST_AUTO_TEST_CASE(SerializeAddition) |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 272 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 273 | DECLARE_LAYER_VERIFIER_CLASS(Addition) |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 274 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 275 | const std::string layerName("addition"); |
| 276 | const armnn::TensorInfo tensorInfo({1, 2, 3}, armnn::DataType::Float32); |
| 277 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 278 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 279 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 280 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 281 | armnn::IConnectableLayer* const additionLayer = network->AddAdditionLayer(layerName.c_str()); |
| 282 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 283 | |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 284 | inputLayer0->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(0)); |
| 285 | inputLayer1->GetOutputSlot(0).Connect(additionLayer->GetInputSlot(1)); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 286 | additionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 287 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 288 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 289 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 290 | additionLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
Jim Flynn | 3091b06 | 2019-02-15 14:45:04 +0000 | [diff] [blame] | 291 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 292 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 293 | BOOST_CHECK(deserializedNetwork); |
| 294 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 295 | AdditionLayerVerifier verifier(layerName, {tensorInfo, tensorInfo}, {tensorInfo}); |
| 296 | deserializedNetwork->Accept(verifier); |
| 297 | } |
Jim Flynn | ac25a1b | 2019-02-28 10:40:49 +0000 | [diff] [blame] | 298 | |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 299 | BOOST_AUTO_TEST_CASE(SerializeArgMinMax) |
| 300 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 301 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(ArgMinMax) |
Narumol Prangnawarat | 0cfcf23 | 2019-09-09 17:16:24 +0100 | [diff] [blame] | 302 | |
| 303 | const std::string layerName("argminmax"); |
| 304 | const armnn::TensorInfo inputInfo({1, 2, 3}, armnn::DataType::Float32); |
| 305 | const armnn::TensorInfo outputInfo({1, 3}, armnn::DataType::Signed32); |
| 306 | |
| 307 | armnn::ArgMinMaxDescriptor descriptor; |
| 308 | descriptor.m_Function = armnn::ArgMinMaxFunction::Max; |
| 309 | descriptor.m_Axis = 1; |
| 310 | |
| 311 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 312 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 313 | armnn::IConnectableLayer* const argMinMaxLayer = network->AddArgMinMaxLayer(descriptor, layerName.c_str()); |
| 314 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 315 | |
| 316 | inputLayer->GetOutputSlot(0).Connect(argMinMaxLayer->GetInputSlot(0)); |
| 317 | argMinMaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 318 | |
| 319 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 320 | argMinMaxLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 321 | |
| 322 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 323 | BOOST_CHECK(deserializedNetwork); |
| 324 | |
| 325 | ArgMinMaxLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 326 | deserializedNetwork->Accept(verifier); |
| 327 | } |
| 328 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 329 | BOOST_AUTO_TEST_CASE(SerializeBatchNormalization) |
| 330 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 331 | using Descriptor = armnn::BatchNormalizationDescriptor; |
| 332 | class BatchNormalizationLayerVerifier : public LayerVerifierBaseWithDescriptor<Descriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 333 | { |
| 334 | public: |
| 335 | BatchNormalizationLayerVerifier(const std::string& layerName, |
| 336 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 337 | const std::vector<armnn::TensorInfo>& outputInfos, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 338 | const Descriptor& descriptor, |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 339 | const armnn::ConstTensor& mean, |
| 340 | const armnn::ConstTensor& variance, |
| 341 | const armnn::ConstTensor& beta, |
| 342 | const armnn::ConstTensor& gamma) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 343 | : LayerVerifierBaseWithDescriptor<Descriptor>(layerName, inputInfos, outputInfos, descriptor) |
| 344 | , m_Mean(mean) |
| 345 | , m_Variance(variance) |
| 346 | , m_Beta(beta) |
| 347 | , m_Gamma(gamma) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 348 | |
| 349 | void VisitBatchNormalizationLayer(const armnn::IConnectableLayer* layer, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 350 | const Descriptor& descriptor, |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 351 | const armnn::ConstTensor& mean, |
| 352 | const armnn::ConstTensor& variance, |
| 353 | const armnn::ConstTensor& beta, |
| 354 | const armnn::ConstTensor& gamma, |
| 355 | const char* name) override |
| 356 | { |
| 357 | VerifyNameAndConnections(layer, name); |
| 358 | VerifyDescriptor(descriptor); |
| 359 | |
| 360 | CompareConstTensor(mean, m_Mean); |
| 361 | CompareConstTensor(variance, m_Variance); |
| 362 | CompareConstTensor(beta, m_Beta); |
| 363 | CompareConstTensor(gamma, m_Gamma); |
| 364 | } |
| 365 | |
| 366 | private: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 367 | armnn::ConstTensor m_Mean; |
| 368 | armnn::ConstTensor m_Variance; |
| 369 | armnn::ConstTensor m_Beta; |
| 370 | armnn::ConstTensor m_Gamma; |
| 371 | }; |
| 372 | |
| 373 | const std::string layerName("batchNormalization"); |
| 374 | const armnn::TensorInfo inputInfo ({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 375 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 376 | |
| 377 | const armnn::TensorInfo meanInfo({1}, armnn::DataType::Float32); |
| 378 | const armnn::TensorInfo varianceInfo({1}, armnn::DataType::Float32); |
| 379 | const armnn::TensorInfo betaInfo({1}, armnn::DataType::Float32); |
| 380 | const armnn::TensorInfo gammaInfo({1}, armnn::DataType::Float32); |
| 381 | |
| 382 | armnn::BatchNormalizationDescriptor descriptor; |
| 383 | descriptor.m_Eps = 0.0010000000475f; |
| 384 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 385 | |
| 386 | std::vector<float> meanData({5.0}); |
| 387 | std::vector<float> varianceData({2.0}); |
| 388 | std::vector<float> betaData({1.0}); |
| 389 | std::vector<float> gammaData({0.0}); |
| 390 | |
| 391 | armnn::ConstTensor mean(meanInfo, meanData); |
| 392 | armnn::ConstTensor variance(varianceInfo, varianceData); |
| 393 | armnn::ConstTensor beta(betaInfo, betaData); |
| 394 | armnn::ConstTensor gamma(gammaInfo, gammaData); |
| 395 | |
| 396 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 397 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 398 | armnn::IConnectableLayer* const batchNormalizationLayer = |
| 399 | network->AddBatchNormalizationLayer(descriptor, mean, variance, beta, gamma, layerName.c_str()); |
| 400 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 401 | |
| 402 | inputLayer->GetOutputSlot(0).Connect(batchNormalizationLayer->GetInputSlot(0)); |
| 403 | batchNormalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 404 | |
| 405 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 406 | batchNormalizationLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 407 | |
| 408 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 409 | BOOST_CHECK(deserializedNetwork); |
| 410 | |
| 411 | BatchNormalizationLayerVerifier verifier( |
| 412 | layerName, {inputInfo}, {outputInfo}, descriptor, mean, variance, beta, gamma); |
| 413 | deserializedNetwork->Accept(verifier); |
| 414 | } |
| 415 | |
| 416 | BOOST_AUTO_TEST_CASE(SerializeBatchToSpaceNd) |
| 417 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 418 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(BatchToSpaceNd) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 419 | |
| 420 | const std::string layerName("spaceToBatchNd"); |
| 421 | const armnn::TensorInfo inputInfo({4, 1, 2, 2}, armnn::DataType::Float32); |
| 422 | const armnn::TensorInfo outputInfo({1, 1, 4, 4}, armnn::DataType::Float32); |
| 423 | |
| 424 | armnn::BatchToSpaceNdDescriptor desc; |
| 425 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 426 | desc.m_BlockShape = {2, 2}; |
| 427 | desc.m_Crops = {{0, 0}, {0, 0}}; |
| 428 | |
| 429 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 430 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 431 | armnn::IConnectableLayer* const batchToSpaceNdLayer = network->AddBatchToSpaceNdLayer(desc, layerName.c_str()); |
| 432 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 433 | |
| 434 | inputLayer->GetOutputSlot(0).Connect(batchToSpaceNdLayer->GetInputSlot(0)); |
| 435 | batchToSpaceNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 436 | |
| 437 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 438 | batchToSpaceNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 439 | |
| 440 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 441 | BOOST_CHECK(deserializedNetwork); |
| 442 | |
| 443 | BatchToSpaceNdLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 444 | deserializedNetwork->Accept(verifier); |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 445 | } |
| 446 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 447 | BOOST_AUTO_TEST_CASE(SerializeComparison) |
| 448 | { |
| 449 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Comparison) |
| 450 | |
| 451 | const std::string layerName("comparison"); |
| 452 | |
| 453 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 454 | |
| 455 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 456 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 457 | |
| 458 | armnn::ComparisonDescriptor descriptor(armnn::ComparisonOperation::NotEqual); |
| 459 | |
| 460 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 461 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 462 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 463 | armnn::IConnectableLayer* const comparisonLayer = network->AddComparisonLayer(descriptor, layerName.c_str()); |
| 464 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 465 | |
| 466 | inputLayer0->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(0)); |
| 467 | inputLayer1->GetOutputSlot(0).Connect(comparisonLayer->GetInputSlot(1)); |
| 468 | comparisonLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 469 | |
| 470 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 471 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 472 | comparisonLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 473 | |
| 474 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 475 | BOOST_CHECK(deserializedNetwork); |
| 476 | |
| 477 | ComparisonLayerVerifier verifier(layerName, { inputInfo, inputInfo }, { outputInfo }, descriptor); |
| 478 | deserializedNetwork->Accept(verifier); |
| 479 | } |
| 480 | |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 481 | BOOST_AUTO_TEST_CASE(SerializeConstant) |
| 482 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 483 | class ConstantLayerVerifier : public LayerVerifierBase |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 484 | { |
| 485 | public: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 486 | ConstantLayerVerifier(const std::string& layerName, |
| 487 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 488 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 489 | const armnn::ConstTensor& layerInput) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 490 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 491 | , m_LayerInput(layerInput) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 492 | |
| 493 | void VisitConstantLayer(const armnn::IConnectableLayer* layer, |
| 494 | const armnn::ConstTensor& input, |
| 495 | const char* name) override |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 496 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 497 | VerifyNameAndConnections(layer, name); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 498 | CompareConstTensor(input, m_LayerInput); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 499 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 500 | |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 501 | void VisitAdditionLayer(const armnn::IConnectableLayer*, const char*) override {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 502 | |
| 503 | private: |
| 504 | armnn::ConstTensor m_LayerInput; |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 505 | }; |
| 506 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 507 | const std::string layerName("constant"); |
| 508 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 509 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 510 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 511 | armnn::ConstTensor constTensor(info, constantData); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 512 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 513 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 514 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 515 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 516 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 517 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 518 | |
| 519 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 520 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 521 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 522 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 523 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 524 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 525 | add->GetOutputSlot(0).SetTensorInfo(info); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 526 | |
Matteo Martincigh | f81edaa | 2019-03-04 14:34:30 +0000 | [diff] [blame] | 527 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 528 | BOOST_CHECK(deserializedNetwork); |
| 529 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 530 | ConstantLayerVerifier verifier(layerName, {}, {info}, constTensor); |
| 531 | deserializedNetwork->Accept(verifier); |
Conor Kennedy | 7627788 | 2019-02-26 08:29:54 +0000 | [diff] [blame] | 532 | } |
| 533 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 534 | BOOST_AUTO_TEST_CASE(SerializeConvolution2d) |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 535 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 536 | using Descriptor = armnn::Convolution2dDescriptor; |
| 537 | class Convolution2dLayerVerifier : public LayerVerifierBaseWithDescriptor<Descriptor> |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 538 | { |
| 539 | public: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 540 | Convolution2dLayerVerifier(const std::string& layerName, |
| 541 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 542 | const std::vector<armnn::TensorInfo>& outputInfos, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 543 | const Descriptor& descriptor, |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 544 | const armnn::ConstTensor& weights, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 545 | const armnn::Optional<armnn::ConstTensor>& biases) |
| 546 | : LayerVerifierBaseWithDescriptor<Descriptor>(layerName, inputInfos, outputInfos, descriptor) |
| 547 | , m_Weights(weights) |
| 548 | , m_Biases(biases) {} |
Finn Williams | dd2ba7e | 2019-03-01 11:51:52 +0000 | [diff] [blame] | 549 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 550 | void VisitConvolution2dLayer(const armnn::IConnectableLayer* layer, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 551 | const Descriptor& descriptor, |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 552 | const armnn::ConstTensor& weights, |
| 553 | const armnn::Optional<armnn::ConstTensor>& biases, |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 554 | const char* name) override |
| 555 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 556 | VerifyNameAndConnections(layer, name); |
| 557 | VerifyDescriptor(descriptor); |
| 558 | |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 559 | // check weights |
| 560 | CompareConstTensor(weights, m_Weights); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 561 | |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 562 | // check biases |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 563 | BOOST_CHECK(biases.has_value() == descriptor.m_BiasEnabled); |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 564 | BOOST_CHECK(biases.has_value() == m_Biases.has_value()); |
| 565 | |
| 566 | if (biases.has_value() && m_Biases.has_value()) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 567 | { |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 568 | CompareConstTensor(biases.value(), m_Biases.value()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 569 | } |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 570 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 571 | |
| 572 | private: |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 573 | armnn::ConstTensor m_Weights; |
| 574 | armnn::Optional<armnn::ConstTensor> m_Biases; |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 575 | }; |
| 576 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 577 | const std::string layerName("convolution2d"); |
| 578 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 1 }, armnn::DataType::Float32); |
| 579 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
Saoirse Stewart | 263829c | 2019-02-19 15:54:14 +0000 | [diff] [blame] | 580 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 581 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 582 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 583 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 584 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 585 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 586 | |
| 587 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 588 | armnn::ConstTensor biases(biasesInfo, biasesData); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 589 | |
| 590 | armnn::Convolution2dDescriptor descriptor; |
| 591 | descriptor.m_PadLeft = 1; |
| 592 | descriptor.m_PadRight = 1; |
| 593 | descriptor.m_PadTop = 1; |
| 594 | descriptor.m_PadBottom = 1; |
| 595 | descriptor.m_StrideX = 2; |
| 596 | descriptor.m_StrideY = 2; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 597 | descriptor.m_DilationX = 2; |
| 598 | descriptor.m_DilationY = 2; |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 599 | descriptor.m_BiasEnabled = true; |
| 600 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 601 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 602 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 603 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 604 | armnn::IConnectableLayer* const convLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 605 | network->AddConvolution2dLayer(descriptor, |
| 606 | weights, |
| 607 | armnn::Optional<armnn::ConstTensor>(biases), |
| 608 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 609 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 610 | |
| 611 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 612 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 613 | |
| 614 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 615 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 616 | |
| 617 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 618 | BOOST_CHECK(deserializedNetwork); |
| 619 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 620 | Convolution2dLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor, weights, biases); |
| 621 | deserializedNetwork->Accept(verifier); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 622 | } |
| 623 | |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 624 | BOOST_AUTO_TEST_CASE(SerializeDepthToSpace) |
| 625 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 626 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(DepthToSpace) |
Aron Virginas-Tar | da9d2d3 | 2019-09-20 10:42:02 +0100 | [diff] [blame] | 627 | |
| 628 | const std::string layerName("depthToSpace"); |
| 629 | |
| 630 | const armnn::TensorInfo inputInfo ({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 631 | const armnn::TensorInfo outputInfo({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 632 | |
| 633 | armnn::DepthToSpaceDescriptor desc; |
| 634 | desc.m_BlockSize = 2; |
| 635 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 636 | |
| 637 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 638 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 639 | armnn::IConnectableLayer* const depthToSpaceLayer = network->AddDepthToSpaceLayer(desc, layerName.c_str()); |
| 640 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 641 | |
| 642 | inputLayer->GetOutputSlot(0).Connect(depthToSpaceLayer->GetInputSlot(0)); |
| 643 | depthToSpaceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 644 | |
| 645 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 646 | depthToSpaceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 647 | |
| 648 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 649 | BOOST_CHECK(deserializedNetwork); |
| 650 | |
| 651 | DepthToSpaceLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 652 | deserializedNetwork->Accept(verifier); |
| 653 | } |
| 654 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 655 | BOOST_AUTO_TEST_CASE(SerializeDepthwiseConvolution2d) |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 656 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 657 | using Descriptor = armnn::DepthwiseConvolution2dDescriptor; |
| 658 | class DepthwiseConvolution2dLayerVerifier : public LayerVerifierBaseWithDescriptor<Descriptor> |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 659 | { |
| 660 | public: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 661 | DepthwiseConvolution2dLayerVerifier(const std::string& layerName, |
| 662 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 663 | const std::vector<armnn::TensorInfo>& outputInfos, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 664 | const Descriptor& descriptor, |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 665 | const armnn::ConstTensor& weights, |
| 666 | const armnn::Optional<armnn::ConstTensor>& biases) : |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 667 | LayerVerifierBaseWithDescriptor<Descriptor>(layerName, inputInfos, outputInfos, descriptor), |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 668 | m_Weights(weights), |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 669 | m_Biases(biases) {} |
Conor Kennedy | 79ffdf5 | 2019-03-01 14:24:54 +0000 | [diff] [blame] | 670 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 671 | void VisitDepthwiseConvolution2dLayer(const armnn::IConnectableLayer* layer, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 672 | const Descriptor& descriptor, |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 673 | const armnn::ConstTensor& weights, |
| 674 | const armnn::Optional<armnn::ConstTensor>& biases, |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 675 | const char* name) override |
| 676 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 677 | VerifyNameAndConnections(layer, name); |
| 678 | VerifyDescriptor(descriptor); |
| 679 | |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 680 | // check weights |
| 681 | CompareConstTensor(weights, m_Weights); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 682 | |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 683 | // check biases |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 684 | BOOST_CHECK(biases.has_value() == descriptor.m_BiasEnabled); |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 685 | BOOST_CHECK(biases.has_value() == m_Biases.has_value()); |
| 686 | |
| 687 | if (biases.has_value() && m_Biases.has_value()) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 688 | { |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 689 | CompareConstTensor(biases.value(), m_Biases.value()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 690 | } |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 691 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 692 | |
| 693 | private: |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 694 | armnn::ConstTensor m_Weights; |
| 695 | armnn::Optional<armnn::ConstTensor> m_Biases; |
Éanna Ó Catháin | 633f859 | 2019-02-25 16:26:29 +0000 | [diff] [blame] | 696 | }; |
| 697 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 698 | const std::string layerName("depwiseConvolution2d"); |
| 699 | const armnn::TensorInfo inputInfo ({ 1, 5, 5, 3 }, armnn::DataType::Float32); |
| 700 | const armnn::TensorInfo outputInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 701 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 702 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 3 }, armnn::DataType::Float32); |
| 703 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 704 | |
| 705 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 706 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 707 | |
| 708 | std::vector<int32_t> biasesData = GenerateRandomData<int32_t>(biasesInfo.GetNumElements()); |
| 709 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 710 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 711 | armnn::DepthwiseConvolution2dDescriptor descriptor; |
Aron Virginas-Tar | 5e1b0cf | 2019-06-21 14:20:11 +0100 | [diff] [blame] | 712 | descriptor.m_PadLeft = 1; |
| 713 | descriptor.m_PadRight = 1; |
| 714 | descriptor.m_PadTop = 1; |
| 715 | descriptor.m_PadBottom = 1; |
| 716 | descriptor.m_StrideX = 2; |
| 717 | descriptor.m_StrideY = 2; |
| 718 | descriptor.m_DilationX = 2; |
| 719 | descriptor.m_DilationY = 2; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 720 | descriptor.m_BiasEnabled = true; |
| 721 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 722 | |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 723 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 724 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 725 | armnn::IConnectableLayer* const depthwiseConvLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 726 | network->AddDepthwiseConvolution2dLayer(descriptor, |
| 727 | weights, |
| 728 | armnn::Optional<armnn::ConstTensor>(biases), |
| 729 | layerName.c_str()); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 730 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 731 | |
| 732 | inputLayer->GetOutputSlot(0).Connect(depthwiseConvLayer->GetInputSlot(0)); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 733 | depthwiseConvLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 734 | |
| 735 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
Aron Virginas-Tar | c04125f | 2019-02-19 16:31:08 +0000 | [diff] [blame] | 736 | depthwiseConvLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 737 | |
| 738 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 739 | BOOST_CHECK(deserializedNetwork); |
| 740 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 741 | DepthwiseConvolution2dLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor, weights, biases); |
| 742 | deserializedNetwork->Accept(verifier); |
Jim Flynn | 18ce338 | 2019-03-08 11:08:30 +0000 | [diff] [blame] | 743 | } |
| 744 | |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 745 | BOOST_AUTO_TEST_CASE(SerializeDequantize) |
| 746 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 747 | DECLARE_LAYER_VERIFIER_CLASS(Dequantize) |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 748 | |
| 749 | const std::string layerName("dequantize"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 750 | const armnn::TensorInfo inputInfo({ 1, 5, 2, 3 }, armnn::DataType::QAsymmU8, 0.5f, 1); |
Nattapat Chaimanowong | e4294fd | 2019-03-28 09:56:53 +0000 | [diff] [blame] | 751 | const armnn::TensorInfo outputInfo({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 752 | |
| 753 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 754 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 755 | armnn::IConnectableLayer* const dequantizeLayer = network->AddDequantizeLayer(layerName.c_str()); |
| 756 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 757 | |
| 758 | inputLayer->GetOutputSlot(0).Connect(dequantizeLayer->GetInputSlot(0)); |
| 759 | dequantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 760 | |
| 761 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 762 | dequantizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 763 | |
| 764 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 765 | BOOST_CHECK(deserializedNetwork); |
| 766 | |
| 767 | DequantizeLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}); |
| 768 | deserializedNetwork->Accept(verifier); |
| 769 | } |
| 770 | |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 771 | BOOST_AUTO_TEST_CASE(SerializeDeserializeDetectionPostProcess) |
| 772 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 773 | using Descriptor = armnn::DetectionPostProcessDescriptor; |
| 774 | class DetectionPostProcessLayerVerifier : public LayerVerifierBaseWithDescriptor<Descriptor> |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 775 | { |
| 776 | public: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 777 | DetectionPostProcessLayerVerifier(const std::string& layerName, |
| 778 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 779 | const std::vector<armnn::TensorInfo>& outputInfos, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 780 | const Descriptor& descriptor, |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 781 | const armnn::ConstTensor& anchors) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 782 | : LayerVerifierBaseWithDescriptor<Descriptor>(layerName, inputInfos, outputInfos, descriptor) |
| 783 | , m_Anchors(anchors) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 784 | |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 785 | void VisitDetectionPostProcessLayer(const armnn::IConnectableLayer* layer, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 786 | const Descriptor& descriptor, |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 787 | const armnn::ConstTensor& anchors, |
| 788 | const char* name) override |
| 789 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 790 | VerifyNameAndConnections(layer, name); |
| 791 | VerifyDescriptor(descriptor); |
| 792 | |
| 793 | CompareConstTensor(anchors, m_Anchors); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 794 | } |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 795 | |
| 796 | private: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 797 | armnn::ConstTensor m_Anchors; |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 798 | }; |
| 799 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 800 | const std::string layerName("detectionPostProcess"); |
| 801 | |
| 802 | const std::vector<armnn::TensorInfo> inputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 803 | armnn::TensorInfo({ 1, 6, 4 }, armnn::DataType::Float32), |
| 804 | armnn::TensorInfo({ 1, 6, 3}, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 805 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 806 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 807 | const std::vector<armnn::TensorInfo> outputInfos({ |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 808 | armnn::TensorInfo({ 1, 3, 4 }, armnn::DataType::Float32), |
| 809 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 810 | armnn::TensorInfo({ 1, 3 }, armnn::DataType::Float32), |
| 811 | armnn::TensorInfo({ 1 }, armnn::DataType::Float32) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 812 | }); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 813 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 814 | armnn::DetectionPostProcessDescriptor descriptor; |
| 815 | descriptor.m_UseRegularNms = true; |
| 816 | descriptor.m_MaxDetections = 3; |
| 817 | descriptor.m_MaxClassesPerDetection = 1; |
| 818 | descriptor.m_DetectionsPerClass =1; |
| 819 | descriptor.m_NmsScoreThreshold = 0.0; |
| 820 | descriptor.m_NmsIouThreshold = 0.5; |
| 821 | descriptor.m_NumClasses = 2; |
| 822 | descriptor.m_ScaleY = 10.0; |
| 823 | descriptor.m_ScaleX = 10.0; |
| 824 | descriptor.m_ScaleH = 5.0; |
| 825 | descriptor.m_ScaleW = 5.0; |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 826 | |
| 827 | const armnn::TensorInfo anchorsInfo({ 6, 4 }, armnn::DataType::Float32); |
| 828 | const std::vector<float> anchorsData({ |
| 829 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 830 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 831 | 0.5f, 0.5f, 1.0f, 1.0f, |
| 832 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 833 | 0.5f, 10.5f, 1.0f, 1.0f, |
| 834 | 0.5f, 100.5f, 1.0f, 1.0f |
| 835 | }); |
| 836 | armnn::ConstTensor anchors(anchorsInfo, anchorsData); |
| 837 | |
| 838 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 839 | armnn::IConnectableLayer* const detectionLayer = |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 840 | network->AddDetectionPostProcessLayer(descriptor, anchors, layerName.c_str()); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 841 | |
| 842 | for (unsigned int i = 0; i < 2; i++) |
| 843 | { |
| 844 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(static_cast<int>(i)); |
| 845 | inputLayer->GetOutputSlot(0).Connect(detectionLayer->GetInputSlot(i)); |
| 846 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfos[i]); |
| 847 | } |
| 848 | |
| 849 | for (unsigned int i = 0; i < 4; i++) |
| 850 | { |
| 851 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(static_cast<int>(i)); |
| 852 | detectionLayer->GetOutputSlot(i).Connect(outputLayer->GetInputSlot(0)); |
| 853 | detectionLayer->GetOutputSlot(i).SetTensorInfo(outputInfos[i]); |
| 854 | } |
| 855 | |
| 856 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 857 | BOOST_CHECK(deserializedNetwork); |
| 858 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 859 | DetectionPostProcessLayerVerifier verifier(layerName, inputInfos, outputInfos, descriptor, anchors); |
| 860 | deserializedNetwork->Accept(verifier); |
| 861 | } |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 862 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 863 | BOOST_AUTO_TEST_CASE(SerializeDivision) |
| 864 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 865 | DECLARE_LAYER_VERIFIER_CLASS(Division) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 866 | |
| 867 | const std::string layerName("division"); |
| 868 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 869 | |
| 870 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 871 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 872 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 873 | armnn::IConnectableLayer* const divisionLayer = network->AddDivisionLayer(layerName.c_str()); |
| 874 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 875 | |
| 876 | inputLayer0->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(0)); |
| 877 | inputLayer1->GetOutputSlot(0).Connect(divisionLayer->GetInputSlot(1)); |
| 878 | divisionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 879 | |
| 880 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 881 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 882 | divisionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 883 | |
| 884 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 885 | BOOST_CHECK(deserializedNetwork); |
| 886 | |
| 887 | DivisionLayerVerifier verifier(layerName, {info, info}, {info}); |
| 888 | deserializedNetwork->Accept(verifier); |
| 889 | } |
| 890 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 891 | class EqualLayerVerifier : public LayerVerifierBase |
| 892 | { |
| 893 | public: |
| 894 | EqualLayerVerifier(const std::string& layerName, |
| 895 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 896 | const std::vector<armnn::TensorInfo>& outputInfos) |
| 897 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
| 898 | |
| 899 | void VisitComparisonLayer(const armnn::IConnectableLayer* layer, |
| 900 | const armnn::ComparisonDescriptor& descriptor, |
| 901 | const char* name) override |
| 902 | { |
| 903 | VerifyNameAndConnections(layer, name); |
| 904 | BOOST_CHECK(descriptor.m_Operation == armnn::ComparisonOperation::Equal); |
| 905 | } |
| 906 | |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 907 | void VisitEqualLayer(const armnn::IConnectableLayer*, const char*) override |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 908 | { |
| 909 | throw armnn::Exception("EqualLayer should have translated to ComparisonLayer"); |
| 910 | } |
| 911 | }; |
| 912 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 913 | // NOTE: Until the deprecated AddEqualLayer disappears this test checks that calling |
| 914 | // AddEqualLayer places a ComparisonLayer into the serialized format and that |
| 915 | // when this deserialises we have a ComparisonLayer |
| 916 | BOOST_AUTO_TEST_CASE(SerializeEqual) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 917 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 918 | const std::string layerName("equal"); |
| 919 | |
| 920 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 921 | |
| 922 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 923 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 924 | |
| 925 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 926 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 927 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 928 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 929 | armnn::IConnectableLayer* const equalLayer = network->AddEqualLayer(layerName.c_str()); |
| 930 | ARMNN_NO_DEPRECATE_WARN_END |
| 931 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 932 | |
| 933 | inputLayer0->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 934 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 935 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 936 | |
| 937 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 938 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 939 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 940 | |
| 941 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 942 | BOOST_CHECK(deserializedNetwork); |
| 943 | |
| 944 | EqualLayerVerifier verifier(layerName, { inputInfo, inputInfo }, { outputInfo }); |
| 945 | deserializedNetwork->Accept(verifier); |
| 946 | } |
| 947 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 948 | BOOST_AUTO_TEST_CASE(EnsureEqualBackwardCompatibility) |
| 949 | { |
| 950 | // The hex data below is a flat buffer containing a simple network with two inputs, |
| 951 | // an EqualLayer (now deprecated) and an output |
| 952 | // |
| 953 | // This test verifies that we can still deserialize this old-style model by replacing |
| 954 | // the EqualLayer with an equivalent ComparisonLayer |
| 955 | const std::vector<uint8_t> equalModel = |
| 956 | { |
| 957 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 958 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 959 | 0xCC, 0x01, 0x00, 0x00, 0x20, 0x01, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 960 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 961 | 0x60, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0xFE, 0xFE, 0xFF, 0xFF, 0x04, 0x00, |
| 962 | 0x00, 0x00, 0x06, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0xEA, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, |
| 963 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 964 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 965 | 0x64, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xB4, 0xFE, 0xFF, 0xFF, 0x00, 0x00, |
| 966 | 0x00, 0x13, 0x04, 0x00, 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x36, 0xFF, 0xFF, 0xFF, |
| 967 | 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x11, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1C, 0x00, |
| 968 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x65, 0x71, 0x75, 0x61, 0x6C, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 969 | 0x5C, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x34, 0xFF, |
| 970 | 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x04, 0x08, 0x00, 0x00, 0x00, |
| 971 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 972 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 973 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 974 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 975 | 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 976 | 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 977 | 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 978 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 979 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 980 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 981 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 982 | 0x00, 0x00, 0x66, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 983 | 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 984 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 985 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 986 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 987 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 988 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 989 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 990 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 991 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 992 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 993 | 0x04, 0x00, 0x00, 0x00 |
| 994 | }; |
| 995 | |
| 996 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(equalModel.begin(), equalModel.end())); |
| 997 | BOOST_CHECK(deserializedNetwork); |
| 998 | |
| 999 | const armnn::TensorShape shape{ 2, 1, 2, 4 }; |
| 1000 | |
| 1001 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 1002 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1003 | |
| 1004 | EqualLayerVerifier verifier("equal", { inputInfo, inputInfo }, { outputInfo }); |
| 1005 | deserializedNetwork->Accept(verifier); |
| 1006 | } |
| 1007 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1008 | BOOST_AUTO_TEST_CASE(SerializeFloor) |
| 1009 | { |
| 1010 | DECLARE_LAYER_VERIFIER_CLASS(Floor) |
| 1011 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1012 | const std::string layerName("floor"); |
| 1013 | const armnn::TensorInfo info({4,4}, armnn::DataType::Float32); |
| 1014 | |
| 1015 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1016 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1017 | armnn::IConnectableLayer* const floorLayer = network->AddFloorLayer(layerName.c_str()); |
| 1018 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1019 | |
| 1020 | inputLayer->GetOutputSlot(0).Connect(floorLayer->GetInputSlot(0)); |
| 1021 | floorLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1022 | |
| 1023 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1024 | floorLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1025 | |
| 1026 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1027 | BOOST_CHECK(deserializedNetwork); |
| 1028 | |
| 1029 | FloorLayerVerifier verifier(layerName, {info}, {info}); |
| 1030 | deserializedNetwork->Accept(verifier); |
| 1031 | } |
| 1032 | |
| 1033 | BOOST_AUTO_TEST_CASE(SerializeFullyConnected) |
| 1034 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1035 | using Descriptor = armnn::FullyConnectedDescriptor; |
| 1036 | class FullyConnectedLayerVerifier : public LayerVerifierBaseWithDescriptor<Descriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1037 | { |
| 1038 | public: |
| 1039 | FullyConnectedLayerVerifier(const std::string& layerName, |
| 1040 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1041 | const std::vector<armnn::TensorInfo>& outputInfos, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1042 | const Descriptor& descriptor, |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1043 | const armnn::ConstTensor& weight, |
| 1044 | const armnn::Optional<armnn::ConstTensor>& bias) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1045 | : LayerVerifierBaseWithDescriptor<Descriptor>(layerName, inputInfos, outputInfos, descriptor) |
| 1046 | , m_Weight(weight) |
| 1047 | , m_Bias(bias) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1048 | |
| 1049 | void VisitFullyConnectedLayer(const armnn::IConnectableLayer* layer, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1050 | const Descriptor& descriptor, |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1051 | const armnn::ConstTensor& weight, |
| 1052 | const armnn::Optional<armnn::ConstTensor>& bias, |
| 1053 | const char* name) override |
| 1054 | { |
| 1055 | VerifyNameAndConnections(layer, name); |
| 1056 | VerifyDescriptor(descriptor); |
| 1057 | |
| 1058 | CompareConstTensor(weight, m_Weight); |
| 1059 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1060 | BOOST_TEST(bias.has_value() == descriptor.m_BiasEnabled); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1061 | BOOST_TEST(bias.has_value() == m_Bias.has_value()); |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1062 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1063 | if (bias.has_value() && m_Bias.has_value()) |
| 1064 | { |
| 1065 | CompareConstTensor(bias.value(), m_Bias.value()); |
| 1066 | } |
| 1067 | } |
| 1068 | |
| 1069 | private: |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1070 | armnn::ConstTensor m_Weight; |
| 1071 | armnn::Optional<armnn::ConstTensor> m_Bias; |
| 1072 | }; |
| 1073 | |
| 1074 | const std::string layerName("fullyConnected"); |
| 1075 | const armnn::TensorInfo inputInfo ({ 2, 5, 1, 1 }, armnn::DataType::Float32); |
| 1076 | const armnn::TensorInfo outputInfo({ 2, 3 }, armnn::DataType::Float32); |
| 1077 | |
| 1078 | const armnn::TensorInfo weightsInfo({ 5, 3 }, armnn::DataType::Float32); |
| 1079 | const armnn::TensorInfo biasesInfo ({ 3 }, armnn::DataType::Float32); |
| 1080 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 1081 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 1082 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 1083 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 1084 | |
| 1085 | armnn::FullyConnectedDescriptor descriptor; |
| 1086 | descriptor.m_BiasEnabled = true; |
| 1087 | descriptor.m_TransposeWeightMatrix = false; |
| 1088 | |
| 1089 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1090 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1091 | armnn::IConnectableLayer* const fullyConnectedLayer = |
Matteo Martincigh | fc598e1 | 2019-05-14 10:36:13 +0100 | [diff] [blame] | 1092 | network->AddFullyConnectedLayer(descriptor, |
| 1093 | weights, |
| 1094 | armnn::Optional<armnn::ConstTensor>(biases), |
| 1095 | layerName.c_str()); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1096 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1097 | |
| 1098 | inputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); |
| 1099 | fullyConnectedLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1100 | |
| 1101 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1102 | fullyConnectedLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1103 | |
| 1104 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1105 | BOOST_CHECK(deserializedNetwork); |
| 1106 | |
| 1107 | FullyConnectedLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor, weights, biases); |
| 1108 | deserializedNetwork->Accept(verifier); |
| 1109 | } |
| 1110 | |
| 1111 | BOOST_AUTO_TEST_CASE(SerializeGather) |
| 1112 | { |
| 1113 | class GatherLayerVerifier : public LayerVerifierBase |
| 1114 | { |
| 1115 | public: |
| 1116 | GatherLayerVerifier(const std::string& layerName, |
| 1117 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1118 | const std::vector<armnn::TensorInfo>& outputInfos) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1119 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1120 | |
| 1121 | void VisitGatherLayer(const armnn::IConnectableLayer* layer, const char *name) override |
| 1122 | { |
| 1123 | VerifyNameAndConnections(layer, name); |
| 1124 | } |
| 1125 | |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 1126 | void VisitConstantLayer(const armnn::IConnectableLayer*, |
| 1127 | const armnn::ConstTensor&, |
| 1128 | const char*) override {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1129 | }; |
| 1130 | |
| 1131 | const std::string layerName("gather"); |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1132 | armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::QAsymmU8); |
| 1133 | armnn::TensorInfo outputInfo({ 3 }, armnn::DataType::QAsymmU8); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1134 | const armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32); |
| 1135 | |
| 1136 | paramsInfo.SetQuantizationScale(1.0f); |
| 1137 | paramsInfo.SetQuantizationOffset(0); |
| 1138 | outputInfo.SetQuantizationScale(1.0f); |
| 1139 | outputInfo.SetQuantizationOffset(0); |
| 1140 | |
| 1141 | const std::vector<int32_t>& indicesData = {7, 6, 5}; |
| 1142 | |
| 1143 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1144 | armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0); |
| 1145 | armnn::IConnectableLayer *const constantLayer = |
| 1146 | network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData)); |
| 1147 | armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer(layerName.c_str()); |
| 1148 | armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0); |
| 1149 | |
| 1150 | inputLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(0)); |
| 1151 | constantLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(1)); |
| 1152 | gatherLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1153 | |
| 1154 | inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo); |
| 1155 | constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo); |
| 1156 | gatherLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1157 | |
| 1158 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1159 | BOOST_CHECK(deserializedNetwork); |
| 1160 | |
| 1161 | GatherLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}); |
| 1162 | deserializedNetwork->Accept(verifier); |
| 1163 | } |
| 1164 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1165 | class GreaterLayerVerifier : public LayerVerifierBase |
| 1166 | { |
| 1167 | public: |
| 1168 | GreaterLayerVerifier(const std::string& layerName, |
| 1169 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1170 | const std::vector<armnn::TensorInfo>& outputInfos) |
| 1171 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
| 1172 | |
| 1173 | void VisitComparisonLayer(const armnn::IConnectableLayer* layer, |
| 1174 | const armnn::ComparisonDescriptor& descriptor, |
| 1175 | const char* name) override |
| 1176 | { |
| 1177 | VerifyNameAndConnections(layer, name); |
| 1178 | BOOST_CHECK(descriptor.m_Operation == armnn::ComparisonOperation::Greater); |
| 1179 | } |
| 1180 | |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 1181 | void VisitGreaterLayer(const armnn::IConnectableLayer*, const char*) override |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1182 | { |
| 1183 | throw armnn::Exception("GreaterLayer should have translated to ComparisonLayer"); |
| 1184 | } |
| 1185 | }; |
| 1186 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1187 | // NOTE: Until the deprecated AddGreaterLayer disappears this test checks that calling |
| 1188 | // AddGreaterLayer places a ComparisonLayer into the serialized format and that |
| 1189 | // when this deserialises we have a ComparisonLayer |
| 1190 | BOOST_AUTO_TEST_CASE(SerializeGreater) |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1191 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1192 | const std::string layerName("greater"); |
| 1193 | |
| 1194 | const armnn::TensorShape shape{2, 1, 2, 4}; |
| 1195 | |
| 1196 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 1197 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1198 | |
| 1199 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1200 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1201 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1202 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 1203 | armnn::IConnectableLayer* const equalLayer = network->AddGreaterLayer(layerName.c_str()); |
| 1204 | ARMNN_NO_DEPRECATE_WARN_END |
| 1205 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1206 | |
| 1207 | inputLayer0->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(0)); |
| 1208 | inputLayer1->GetOutputSlot(0).Connect(equalLayer->GetInputSlot(1)); |
| 1209 | equalLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1210 | |
| 1211 | inputLayer0->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1212 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1213 | equalLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1214 | |
| 1215 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1216 | BOOST_CHECK(deserializedNetwork); |
| 1217 | |
| 1218 | GreaterLayerVerifier verifier(layerName, { inputInfo, inputInfo }, { outputInfo }); |
| 1219 | deserializedNetwork->Accept(verifier); |
| 1220 | } |
| 1221 | |
Aron Virginas-Tar | 6d2e659 | 2019-10-22 11:44:47 +0100 | [diff] [blame] | 1222 | BOOST_AUTO_TEST_CASE(EnsureGreaterBackwardCompatibility) |
| 1223 | { |
| 1224 | // The hex data below is a flat buffer containing a simple network with two inputs, |
| 1225 | // an GreaterLayer (now deprecated) and an output |
| 1226 | // |
| 1227 | // This test verifies that we can still deserialize this old-style model by replacing |
| 1228 | // the GreaterLayer with an equivalent ComparisonLayer |
| 1229 | const std::vector<uint8_t> greaterModel = |
| 1230 | { |
| 1231 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1232 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1233 | 0xCC, 0x01, 0x00, 0x00, 0x20, 0x01, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1234 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1235 | 0x60, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0xFE, 0xFE, 0xFF, 0xFF, 0x04, 0x00, |
| 1236 | 0x00, 0x00, 0x06, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0xEA, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, |
| 1237 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1238 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1239 | 0x64, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xB4, 0xFE, 0xFF, 0xFF, 0x00, 0x00, |
| 1240 | 0x00, 0x19, 0x04, 0x00, 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x36, 0xFF, 0xFF, 0xFF, |
| 1241 | 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1C, 0x00, |
| 1242 | 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x67, 0x72, 0x65, 0x61, 0x74, 0x65, 0x72, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1243 | 0x5C, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x34, 0xFF, |
| 1244 | 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x04, 0x08, 0x00, 0x00, 0x00, |
| 1245 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1246 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1247 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1248 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1249 | 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1250 | 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1251 | 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1252 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1253 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1254 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1255 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1256 | 0x00, 0x00, 0x66, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1257 | 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1258 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1259 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1260 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1261 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1262 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1263 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1264 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1265 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1266 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1267 | 0x02, 0x00, 0x00, 0x00 |
| 1268 | }; |
| 1269 | |
| 1270 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(greaterModel.begin(), greaterModel.end())); |
| 1271 | BOOST_CHECK(deserializedNetwork); |
| 1272 | |
| 1273 | const armnn::TensorShape shape{ 1, 2, 2, 2 }; |
| 1274 | |
| 1275 | const armnn::TensorInfo inputInfo = armnn::TensorInfo(shape, armnn::DataType::Float32); |
| 1276 | const armnn::TensorInfo outputInfo = armnn::TensorInfo(shape, armnn::DataType::Boolean); |
| 1277 | |
| 1278 | GreaterLayerVerifier verifier("greater", { inputInfo, inputInfo }, { outputInfo }); |
| 1279 | deserializedNetwork->Accept(verifier); |
| 1280 | } |
| 1281 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1282 | BOOST_AUTO_TEST_CASE(SerializeInstanceNormalization) |
| 1283 | { |
| 1284 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(InstanceNormalization) |
| 1285 | |
Aron Virginas-Tar | 781ced9 | 2019-10-03 11:15:39 +0100 | [diff] [blame] | 1286 | const std::string layerName("instanceNormalization"); |
| 1287 | const armnn::TensorInfo info({ 1, 2, 1, 5 }, armnn::DataType::Float32); |
| 1288 | |
| 1289 | armnn::InstanceNormalizationDescriptor descriptor; |
| 1290 | descriptor.m_Gamma = 1.1f; |
| 1291 | descriptor.m_Beta = 0.1f; |
| 1292 | descriptor.m_Eps = 0.0001f; |
| 1293 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 1294 | |
| 1295 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1296 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1297 | armnn::IConnectableLayer* const instanceNormLayer = |
| 1298 | network->AddInstanceNormalizationLayer(descriptor, layerName.c_str()); |
| 1299 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1300 | |
| 1301 | inputLayer->GetOutputSlot(0).Connect(instanceNormLayer->GetInputSlot(0)); |
| 1302 | instanceNormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1303 | |
| 1304 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1305 | instanceNormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1306 | |
| 1307 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1308 | BOOST_CHECK(deserializedNetwork); |
| 1309 | |
| 1310 | InstanceNormalizationLayerVerifier verifier(layerName, {info}, {info}, descriptor); |
| 1311 | deserializedNetwork->Accept(verifier); |
| 1312 | } |
| 1313 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1314 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(L2Normalization) |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1315 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1316 | BOOST_AUTO_TEST_CASE(SerializeL2Normalization) |
| 1317 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1318 | const std::string l2NormLayerName("l2Normalization"); |
| 1319 | const armnn::TensorInfo info({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1320 | |
| 1321 | armnn::L2NormalizationDescriptor desc; |
| 1322 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1323 | desc.m_Eps = 0.0001f; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1324 | |
| 1325 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1326 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1327 | armnn::IConnectableLayer* const l2NormLayer = network->AddL2NormalizationLayer(desc, l2NormLayerName.c_str()); |
| 1328 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1329 | |
| 1330 | inputLayer0->GetOutputSlot(0).Connect(l2NormLayer->GetInputSlot(0)); |
| 1331 | l2NormLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1332 | |
| 1333 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1334 | l2NormLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1335 | |
| 1336 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1337 | BOOST_CHECK(deserializedNetwork); |
| 1338 | |
| 1339 | L2NormalizationLayerVerifier verifier(l2NormLayerName, {info}, {info}, desc); |
| 1340 | deserializedNetwork->Accept(verifier); |
| 1341 | } |
| 1342 | |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1343 | BOOST_AUTO_TEST_CASE(EnsureL2NormalizationBackwardCompatibility) |
| 1344 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1345 | // The hex data below is a flat buffer containing a simple network with one input |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1346 | // a L2Normalization layer and an output layer with dimensions as per the tensor infos below. |
| 1347 | // |
| 1348 | // This test verifies that we can still read back these old style |
| 1349 | // models without the normalization epsilon value. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1350 | const std::vector<uint8_t> l2NormalizationModel = |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1351 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1352 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1353 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1354 | 0x3C, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1355 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xE8, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1356 | 0x04, 0x00, 0x00, 0x00, 0xD6, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 1357 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1358 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1359 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1360 | 0x4C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x44, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 1361 | 0x00, 0x20, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1362 | 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x06, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1363 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1364 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1F, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x20, 0x00, |
| 1365 | 0x00, 0x00, 0x0F, 0x00, 0x00, 0x00, 0x6C, 0x32, 0x4E, 0x6F, 0x72, 0x6D, 0x61, 0x6C, 0x69, 0x7A, 0x61, 0x74, |
| 1366 | 0x69, 0x6F, 0x6E, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, |
| 1367 | 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1368 | 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1369 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, |
| 1370 | 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1371 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1372 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1373 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1374 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1375 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1376 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1377 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1378 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1379 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1380 | 0x05, 0x00, 0x00, 0x00, 0x00 |
| 1381 | }; |
| 1382 | |
| 1383 | armnn::INetworkPtr deserializedNetwork = |
| 1384 | DeserializeNetwork(std::string(l2NormalizationModel.begin(), l2NormalizationModel.end())); |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1385 | BOOST_CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1386 | |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1387 | const std::string layerName("l2Normalization"); |
| 1388 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 2, 1, 5}, armnn::DataType::Float32); |
| 1389 | |
| 1390 | armnn::L2NormalizationDescriptor desc; |
| 1391 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1392 | // Since this variable does not exist in the l2NormalizationModel dump, the default value will be loaded |
Ferran Balaguer | 0dcffec | 2019-06-18 16:25:06 +0100 | [diff] [blame] | 1393 | desc.m_Eps = 1e-12f; |
| 1394 | |
| 1395 | L2NormalizationLayerVerifier verifier(layerName, {inputInfo}, {inputInfo}, desc); |
| 1396 | deserializedNetwork->Accept(verifier); |
| 1397 | } |
| 1398 | |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1399 | BOOST_AUTO_TEST_CASE(SerializeLogSoftmax) |
| 1400 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1401 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(LogSoftmax) |
Sadik Armagan | 2625785 | 2019-10-14 13:00:47 +0100 | [diff] [blame] | 1402 | |
| 1403 | const std::string layerName("log_softmax"); |
| 1404 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 1405 | |
| 1406 | armnn::LogSoftmaxDescriptor descriptor; |
| 1407 | descriptor.m_Beta = 1.0f; |
| 1408 | descriptor.m_Axis = -1; |
| 1409 | |
| 1410 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1411 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1412 | armnn::IConnectableLayer* const logSoftmaxLayer = network->AddLogSoftmaxLayer(descriptor, layerName.c_str()); |
| 1413 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1414 | |
| 1415 | inputLayer->GetOutputSlot(0).Connect(logSoftmaxLayer->GetInputSlot(0)); |
| 1416 | logSoftmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1417 | |
| 1418 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1419 | logSoftmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1420 | |
| 1421 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1422 | BOOST_CHECK(deserializedNetwork); |
| 1423 | |
| 1424 | LogSoftmaxLayerVerifier verifier(layerName, {info}, {info}, descriptor); |
| 1425 | deserializedNetwork->Accept(verifier); |
| 1426 | } |
| 1427 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1428 | BOOST_AUTO_TEST_CASE(SerializeMaximum) |
| 1429 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1430 | DECLARE_LAYER_VERIFIER_CLASS(Maximum) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1431 | |
| 1432 | const std::string layerName("maximum"); |
| 1433 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1434 | |
| 1435 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1436 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1437 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1438 | armnn::IConnectableLayer* const maximumLayer = network->AddMaximumLayer(layerName.c_str()); |
| 1439 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1440 | |
| 1441 | inputLayer0->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(0)); |
| 1442 | inputLayer1->GetOutputSlot(0).Connect(maximumLayer->GetInputSlot(1)); |
| 1443 | maximumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1444 | |
| 1445 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1446 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1447 | maximumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1448 | |
| 1449 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1450 | BOOST_CHECK(deserializedNetwork); |
| 1451 | |
| 1452 | MaximumLayerVerifier verifier(layerName, {info, info}, {info}); |
| 1453 | deserializedNetwork->Accept(verifier); |
| 1454 | } |
| 1455 | |
| 1456 | BOOST_AUTO_TEST_CASE(SerializeMean) |
| 1457 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1458 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Mean) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1459 | |
| 1460 | const std::string layerName("mean"); |
| 1461 | const armnn::TensorInfo inputInfo({1, 1, 3, 2}, armnn::DataType::Float32); |
| 1462 | const armnn::TensorInfo outputInfo({1, 1, 1, 2}, armnn::DataType::Float32); |
| 1463 | |
| 1464 | armnn::MeanDescriptor descriptor; |
| 1465 | descriptor.m_Axis = { 2 }; |
| 1466 | descriptor.m_KeepDims = true; |
| 1467 | |
| 1468 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1469 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1470 | armnn::IConnectableLayer* const meanLayer = network->AddMeanLayer(descriptor, layerName.c_str()); |
| 1471 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1472 | |
| 1473 | inputLayer->GetOutputSlot(0).Connect(meanLayer->GetInputSlot(0)); |
| 1474 | meanLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1475 | |
| 1476 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1477 | meanLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1478 | |
| 1479 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1480 | BOOST_CHECK(deserializedNetwork); |
| 1481 | |
| 1482 | MeanLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 1483 | deserializedNetwork->Accept(verifier); |
| 1484 | } |
| 1485 | |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1486 | BOOST_AUTO_TEST_CASE(SerializeMerge) |
| 1487 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1488 | DECLARE_LAYER_VERIFIER_CLASS(Merge) |
Nattapat Chaimanowong | 1f88630 | 2019-04-05 13:37:19 +0100 | [diff] [blame] | 1489 | |
| 1490 | const std::string layerName("merge"); |
| 1491 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1492 | |
| 1493 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1494 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1495 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1496 | armnn::IConnectableLayer* const mergeLayer = network->AddMergeLayer(layerName.c_str()); |
| 1497 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1498 | |
| 1499 | inputLayer0->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(0)); |
| 1500 | inputLayer1->GetOutputSlot(0).Connect(mergeLayer->GetInputSlot(1)); |
| 1501 | mergeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1502 | |
| 1503 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1504 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1505 | mergeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1506 | |
| 1507 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1508 | BOOST_CHECK(deserializedNetwork); |
| 1509 | |
| 1510 | MergeLayerVerifier verifier(layerName, {info, info}, {info}); |
| 1511 | deserializedNetwork->Accept(verifier); |
| 1512 | } |
| 1513 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1514 | class MergerLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor> |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1515 | { |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1516 | public: |
| 1517 | MergerLayerVerifier(const std::string& layerName, |
| 1518 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1519 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1520 | const armnn::OriginsDescriptor& descriptor) |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1521 | : LayerVerifierBaseWithDescriptor<armnn::OriginsDescriptor>(layerName, inputInfos, outputInfos, descriptor) {} |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1522 | |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 1523 | void VisitMergerLayer(const armnn::IConnectableLayer*, |
| 1524 | const armnn::OriginsDescriptor&, |
| 1525 | const char*) override |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1526 | { |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1527 | throw armnn::Exception("MergerLayer should have translated to ConcatLayer"); |
| 1528 | } |
| 1529 | |
| 1530 | void VisitConcatLayer(const armnn::IConnectableLayer* layer, |
| 1531 | const armnn::OriginsDescriptor& descriptor, |
| 1532 | const char* name) override |
| 1533 | { |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1534 | VerifyNameAndConnections(layer, name); |
| 1535 | VerifyDescriptor(descriptor); |
| 1536 | } |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1537 | }; |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1538 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1539 | // NOTE: Until the deprecated AddMergerLayer disappears this test checks that calling |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1540 | // AddMergerLayer places a ConcatLayer into the serialized format and that |
| 1541 | // when this deserialises we have a ConcatLayer |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1542 | BOOST_AUTO_TEST_CASE(SerializeMerger) |
| 1543 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1544 | const std::string layerName("merger"); |
| 1545 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1546 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1547 | |
| 1548 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1549 | |
| 1550 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1551 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1552 | |
| 1553 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1554 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1555 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1556 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1557 | armnn::IConnectableLayer* const mergerLayer = network->AddMergerLayer(descriptor, layerName.c_str()); |
Jim Flynn | 906f946 | 2019-05-10 13:55:21 +0100 | [diff] [blame] | 1558 | ARMNN_NO_DEPRECATE_WARN_END |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1559 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1560 | |
| 1561 | inputLayerOne->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(0)); |
| 1562 | inputLayerTwo->GetOutputSlot(0).Connect(mergerLayer->GetInputSlot(1)); |
| 1563 | mergerLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1564 | |
| 1565 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1566 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1567 | mergerLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1568 | |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1569 | std::string mergerLayerNetwork = SerializeNetwork(*network); |
| 1570 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(mergerLayerNetwork); |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1571 | BOOST_CHECK(deserializedNetwork); |
| 1572 | |
| 1573 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
| 1574 | deserializedNetwork->Accept(verifier); |
| 1575 | } |
| 1576 | |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1577 | BOOST_AUTO_TEST_CASE(EnsureMergerLayerBackwardCompatibility) |
| 1578 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1579 | // The hex data below is a flat buffer containing a simple network with two inputs |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1580 | // a merger layer (now deprecated) and an output layer with dimensions as per the tensor infos below. |
| 1581 | // |
| 1582 | // This test verifies that we can still read back these old style |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1583 | // models replacing the MergerLayers with ConcatLayers with the same parameters. |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1584 | const std::vector<uint8_t> mergerModel = |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1585 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1586 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1587 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1588 | 0x38, 0x02, 0x00, 0x00, 0x8C, 0x01, 0x00, 0x00, 0x70, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1589 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1590 | 0xF4, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x04, 0x00, |
| 1591 | 0x00, 0x00, 0x9A, 0xFE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x7E, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, |
| 1592 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1593 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1594 | 0xF8, 0xFE, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x48, 0xFE, 0xFF, 0xFF, 0x00, 0x00, |
| 1595 | 0x00, 0x1F, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1596 | 0x68, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1597 | 0x0C, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1598 | 0x02, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x22, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1599 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1600 | 0x00, 0x00, 0x00, 0x00, 0x3E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1601 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x36, 0xFF, 0xFF, 0xFF, |
| 1602 | 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x1E, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1C, 0x00, |
| 1603 | 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x6D, 0x65, 0x72, 0x67, 0x65, 0x72, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1604 | 0x5C, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x34, 0xFF, |
| 1605 | 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x92, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1606 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1607 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x08, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1608 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1609 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1610 | 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1611 | 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, |
| 1612 | 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1613 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1614 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1615 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 1616 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 1617 | 0x00, 0x00, 0x66, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1618 | 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1619 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, |
| 1620 | 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, |
| 1621 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 1622 | 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1623 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1624 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, |
| 1625 | 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, |
| 1626 | 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1627 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1628 | 0x02, 0x00, 0x00, 0x00 |
| 1629 | }; |
| 1630 | |
| 1631 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(mergerModel.begin(), mergerModel.end())); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1632 | BOOST_CHECK(deserializedNetwork); |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1633 | |
| 1634 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 2, 3, 2, 2 }, armnn::DataType::Float32); |
| 1635 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({ 4, 3, 2, 2 }, armnn::DataType::Float32); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1636 | |
| 1637 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1638 | |
| 1639 | armnn::OriginsDescriptor descriptor = |
Jim Flynn | 825af45 | 2019-05-20 12:49:28 +0100 | [diff] [blame] | 1640 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1641 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1642 | MergerLayerVerifier verifier("merger", { inputInfo, inputInfo }, { outputInfo }, descriptor); |
Jim Flynn | 5fa8393 | 2019-05-09 15:35:43 +0100 | [diff] [blame] | 1643 | deserializedNetwork->Accept(verifier); |
| 1644 | } |
| 1645 | |
Jim Flynn | e242f2d | 2019-05-22 14:24:13 +0100 | [diff] [blame] | 1646 | BOOST_AUTO_TEST_CASE(SerializeConcat) |
| 1647 | { |
| 1648 | const std::string layerName("concat"); |
| 1649 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({2, 3, 2, 2}, armnn::DataType::Float32); |
| 1650 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({4, 3, 2, 2}, armnn::DataType::Float32); |
| 1651 | |
| 1652 | const std::vector<armnn::TensorShape> shapes({inputInfo.GetShape(), inputInfo.GetShape()}); |
| 1653 | |
| 1654 | armnn::OriginsDescriptor descriptor = |
| 1655 | armnn::CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), 0); |
| 1656 | |
| 1657 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1658 | armnn::IConnectableLayer* const inputLayerOne = network->AddInputLayer(0); |
| 1659 | armnn::IConnectableLayer* const inputLayerTwo = network->AddInputLayer(1); |
| 1660 | armnn::IConnectableLayer* const concatLayer = network->AddConcatLayer(descriptor, layerName.c_str()); |
| 1661 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1662 | |
| 1663 | inputLayerOne->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(0)); |
| 1664 | inputLayerTwo->GetOutputSlot(0).Connect(concatLayer->GetInputSlot(1)); |
| 1665 | concatLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1666 | |
| 1667 | inputLayerOne->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1668 | inputLayerTwo->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1669 | concatLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1670 | |
| 1671 | std::string concatLayerNetwork = SerializeNetwork(*network); |
| 1672 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(concatLayerNetwork); |
| 1673 | BOOST_CHECK(deserializedNetwork); |
| 1674 | |
| 1675 | // NOTE: using the MergerLayerVerifier to ensure that it is a concat layer and not a |
| 1676 | // merger layer that gets placed into the graph. |
| 1677 | MergerLayerVerifier verifier(layerName, {inputInfo, inputInfo}, {outputInfo}, descriptor); |
| 1678 | deserializedNetwork->Accept(verifier); |
| 1679 | } |
| 1680 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1681 | BOOST_AUTO_TEST_CASE(SerializeMinimum) |
| 1682 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1683 | DECLARE_LAYER_VERIFIER_CLASS(Minimum) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1684 | |
| 1685 | const std::string layerName("minimum"); |
| 1686 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1687 | |
| 1688 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1689 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1690 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1691 | armnn::IConnectableLayer* const minimumLayer = network->AddMinimumLayer(layerName.c_str()); |
| 1692 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1693 | |
| 1694 | inputLayer0->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(0)); |
| 1695 | inputLayer1->GetOutputSlot(0).Connect(minimumLayer->GetInputSlot(1)); |
| 1696 | minimumLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1697 | |
| 1698 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1699 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1700 | minimumLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1701 | |
| 1702 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1703 | BOOST_CHECK(deserializedNetwork); |
| 1704 | |
| 1705 | MinimumLayerVerifier verifier(layerName, {info, info}, {info}); |
| 1706 | deserializedNetwork->Accept(verifier); |
| 1707 | } |
| 1708 | |
| 1709 | BOOST_AUTO_TEST_CASE(SerializeMultiplication) |
| 1710 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1711 | DECLARE_LAYER_VERIFIER_CLASS(Multiplication) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1712 | |
| 1713 | const std::string layerName("multiplication"); |
| 1714 | const armnn::TensorInfo info({ 1, 5, 2, 3 }, armnn::DataType::Float32); |
| 1715 | |
| 1716 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1717 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 1718 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 1719 | armnn::IConnectableLayer* const multiplicationLayer = network->AddMultiplicationLayer(layerName.c_str()); |
| 1720 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1721 | |
| 1722 | inputLayer0->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(0)); |
| 1723 | inputLayer1->GetOutputSlot(0).Connect(multiplicationLayer->GetInputSlot(1)); |
| 1724 | multiplicationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1725 | |
| 1726 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 1727 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 1728 | multiplicationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1729 | |
| 1730 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1731 | BOOST_CHECK(deserializedNetwork); |
| 1732 | |
| 1733 | MultiplicationLayerVerifier verifier(layerName, {info, info}, {info}); |
| 1734 | deserializedNetwork->Accept(verifier); |
| 1735 | } |
| 1736 | |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1737 | BOOST_AUTO_TEST_CASE(SerializePrelu) |
| 1738 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1739 | DECLARE_LAYER_VERIFIER_CLASS(Prelu) |
Ellen Norris-Thompson | 5198247 | 2019-06-19 11:46:21 +0100 | [diff] [blame] | 1740 | |
| 1741 | const std::string layerName("prelu"); |
| 1742 | |
| 1743 | armnn::TensorInfo inputTensorInfo ({ 4, 1, 2 }, armnn::DataType::Float32); |
| 1744 | armnn::TensorInfo alphaTensorInfo ({ 5, 4, 3, 1 }, armnn::DataType::Float32); |
| 1745 | armnn::TensorInfo outputTensorInfo({ 5, 4, 3, 2 }, armnn::DataType::Float32); |
| 1746 | |
| 1747 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1748 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1749 | armnn::IConnectableLayer* const alphaLayer = network->AddInputLayer(1); |
| 1750 | armnn::IConnectableLayer* const preluLayer = network->AddPreluLayer(layerName.c_str()); |
| 1751 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1752 | |
| 1753 | inputLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(0)); |
| 1754 | alphaLayer->GetOutputSlot(0).Connect(preluLayer->GetInputSlot(1)); |
| 1755 | preluLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1756 | |
| 1757 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1758 | alphaLayer->GetOutputSlot(0).SetTensorInfo(alphaTensorInfo); |
| 1759 | preluLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1760 | |
| 1761 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1762 | BOOST_CHECK(deserializedNetwork); |
| 1763 | |
| 1764 | PreluLayerVerifier verifier(layerName, {inputTensorInfo, alphaTensorInfo}, {outputTensorInfo}); |
| 1765 | deserializedNetwork->Accept(verifier); |
| 1766 | } |
| 1767 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1768 | BOOST_AUTO_TEST_CASE(SerializeNormalization) |
| 1769 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1770 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Normalization) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1771 | |
| 1772 | const std::string layerName("normalization"); |
| 1773 | const armnn::TensorInfo info({2, 1, 2, 2}, armnn::DataType::Float32); |
| 1774 | |
| 1775 | armnn::NormalizationDescriptor desc; |
| 1776 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 1777 | desc.m_NormSize = 3; |
| 1778 | desc.m_Alpha = 1; |
| 1779 | desc.m_Beta = 1; |
| 1780 | desc.m_K = 1; |
| 1781 | |
| 1782 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1783 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1784 | armnn::IConnectableLayer* const normalizationLayer = network->AddNormalizationLayer(desc, layerName.c_str()); |
| 1785 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1786 | |
| 1787 | inputLayer->GetOutputSlot(0).Connect(normalizationLayer->GetInputSlot(0)); |
| 1788 | normalizationLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1789 | |
| 1790 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1791 | normalizationLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1792 | |
| 1793 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1794 | BOOST_CHECK(deserializedNetwork); |
| 1795 | |
| 1796 | NormalizationLayerVerifier verifier(layerName, {info}, {info}, desc); |
| 1797 | deserializedNetwork->Accept(verifier); |
| 1798 | } |
| 1799 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1800 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Pad) |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1801 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1802 | BOOST_AUTO_TEST_CASE(SerializePad) |
| 1803 | { |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1804 | const std::string layerName("pad"); |
| 1805 | const armnn::TensorInfo inputTensorInfo = armnn::TensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1806 | const armnn::TensorInfo outputTensorInfo = armnn::TensorInfo({1, 3, 5, 7}, armnn::DataType::Float32); |
| 1807 | |
| 1808 | armnn::PadDescriptor desc({{0, 0}, {1, 0}, {1, 1}, {1, 2}}); |
| 1809 | |
| 1810 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1811 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1812 | armnn::IConnectableLayer* const padLayer = network->AddPadLayer(desc, layerName.c_str()); |
| 1813 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1814 | |
| 1815 | inputLayer->GetOutputSlot(0).Connect(padLayer->GetInputSlot(0)); |
| 1816 | padLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1817 | |
| 1818 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1819 | padLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1820 | |
| 1821 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1822 | BOOST_CHECK(deserializedNetwork); |
| 1823 | |
| 1824 | PadLayerVerifier verifier(layerName, {inputTensorInfo}, {outputTensorInfo}, desc); |
| 1825 | deserializedNetwork->Accept(verifier); |
| 1826 | } |
| 1827 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1828 | BOOST_AUTO_TEST_CASE(EnsurePadBackwardCompatibility) |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1829 | { |
| 1830 | // The PadDescriptor is being extended with a float PadValue (so a value other than 0 |
| 1831 | // can be used to pad the tensor. |
| 1832 | // |
| 1833 | // This test contains a binary representation of a simple input->pad->output network |
| 1834 | // prior to this change to test that the descriptor has been updated in a backward |
| 1835 | // compatible way with respect to Deserialization of older binary dumps |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1836 | const std::vector<uint8_t> padModel = |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1837 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1838 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 1839 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1840 | 0x54, 0x01, 0x00, 0x00, 0x6C, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1841 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD0, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 1842 | 0x04, 0x00, 0x00, 0x00, 0x96, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x9E, 0xFF, 0xFF, 0xFF, 0x04, 0x00, |
| 1843 | 0x00, 0x00, 0x72, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 1844 | 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1845 | 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x2C, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, |
| 1846 | 0x00, 0x00, 0x00, 0x00, 0x24, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x16, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1847 | 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x4C, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1848 | 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1849 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1850 | 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1851 | 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1852 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 1853 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x70, 0x61, 0x64, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, |
| 1854 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1855 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1856 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 1857 | 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 1858 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, |
| 1859 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, |
| 1860 | 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1861 | 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, |
| 1862 | 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1863 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1864 | 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1865 | 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, |
| 1866 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1867 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00 |
| 1868 | }; |
| 1869 | |
| 1870 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(std::string(padModel.begin(), padModel.end())); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1871 | BOOST_CHECK(deserializedNetwork); |
| 1872 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1873 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({ 1, 2, 3, 4 }, armnn::DataType::Float32); |
| 1874 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({ 1, 3, 5, 7 }, armnn::DataType::Float32); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1875 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1876 | armnn::PadDescriptor descriptor({{ 0, 0 }, { 1, 0 }, { 1, 1 }, { 1, 2 }}); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1877 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 1878 | PadLayerVerifier verifier("pad", { inputInfo }, { outputInfo }, descriptor); |
Jim Flynn | 965c7c6 | 2019-06-24 14:32:41 +0100 | [diff] [blame] | 1879 | deserializedNetwork->Accept(verifier); |
| 1880 | } |
| 1881 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1882 | BOOST_AUTO_TEST_CASE(SerializePermute) |
| 1883 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1884 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Permute) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1885 | |
| 1886 | const std::string layerName("permute"); |
| 1887 | const armnn::TensorInfo inputTensorInfo({4, 3, 2, 1}, armnn::DataType::Float32); |
| 1888 | const armnn::TensorInfo outputTensorInfo({1, 2, 3, 4}, armnn::DataType::Float32); |
| 1889 | |
| 1890 | armnn::PermuteDescriptor descriptor(armnn::PermutationVector({3, 2, 1, 0})); |
| 1891 | |
| 1892 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1893 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1894 | armnn::IConnectableLayer* const permuteLayer = network->AddPermuteLayer(descriptor, layerName.c_str()); |
| 1895 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1896 | |
| 1897 | inputLayer->GetOutputSlot(0).Connect(permuteLayer->GetInputSlot(0)); |
| 1898 | permuteLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1899 | |
| 1900 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1901 | permuteLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 1902 | |
| 1903 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1904 | BOOST_CHECK(deserializedNetwork); |
| 1905 | |
| 1906 | PermuteLayerVerifier verifier(layerName, {inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 1907 | deserializedNetwork->Accept(verifier); |
| 1908 | } |
| 1909 | |
| 1910 | BOOST_AUTO_TEST_CASE(SerializePooling2d) |
| 1911 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1912 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Pooling2d) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1913 | |
| 1914 | const std::string layerName("pooling2d"); |
| 1915 | const armnn::TensorInfo inputInfo({1, 2, 2, 1}, armnn::DataType::Float32); |
| 1916 | const armnn::TensorInfo outputInfo({1, 1, 1, 1}, armnn::DataType::Float32); |
| 1917 | |
| 1918 | armnn::Pooling2dDescriptor desc; |
| 1919 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 1920 | desc.m_PadTop = 0; |
| 1921 | desc.m_PadBottom = 0; |
| 1922 | desc.m_PadLeft = 0; |
| 1923 | desc.m_PadRight = 0; |
| 1924 | desc.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1925 | desc.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 1926 | desc.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 1927 | desc.m_PoolHeight = 2; |
| 1928 | desc.m_PoolWidth = 2; |
| 1929 | desc.m_StrideX = 2; |
| 1930 | desc.m_StrideY = 2; |
| 1931 | |
| 1932 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1933 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1934 | armnn::IConnectableLayer* const pooling2dLayer = network->AddPooling2dLayer(desc, layerName.c_str()); |
| 1935 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1936 | |
| 1937 | inputLayer->GetOutputSlot(0).Connect(pooling2dLayer->GetInputSlot(0)); |
| 1938 | pooling2dLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1939 | |
| 1940 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1941 | pooling2dLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1942 | |
| 1943 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1944 | BOOST_CHECK(deserializedNetwork); |
| 1945 | |
| 1946 | Pooling2dLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 1947 | deserializedNetwork->Accept(verifier); |
| 1948 | } |
| 1949 | |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1950 | BOOST_AUTO_TEST_CASE(SerializeQuantize) |
| 1951 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1952 | DECLARE_LAYER_VERIFIER_CLASS(Quantize) |
Derek Lamberti | 87acb27 | 2019-03-27 16:51:31 +0000 | [diff] [blame] | 1953 | |
| 1954 | const std::string layerName("quantize"); |
| 1955 | const armnn::TensorInfo info({ 1, 2, 2, 3 }, armnn::DataType::Float32); |
| 1956 | |
| 1957 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1958 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1959 | armnn::IConnectableLayer* const quantizeLayer = network->AddQuantizeLayer(layerName.c_str()); |
| 1960 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1961 | |
| 1962 | inputLayer->GetOutputSlot(0).Connect(quantizeLayer->GetInputSlot(0)); |
| 1963 | quantizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1964 | |
| 1965 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1966 | quantizeLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 1967 | |
| 1968 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1969 | BOOST_CHECK(deserializedNetwork); |
| 1970 | |
| 1971 | QuantizeLayerVerifier verifier(layerName, {info}, {info}); |
| 1972 | deserializedNetwork->Accept(verifier); |
| 1973 | } |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1974 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1975 | BOOST_AUTO_TEST_CASE(SerializeReshape) |
| 1976 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 1977 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Reshape) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 1978 | |
| 1979 | const std::string layerName("reshape"); |
| 1980 | const armnn::TensorInfo inputInfo({1, 9}, armnn::DataType::Float32); |
| 1981 | const armnn::TensorInfo outputInfo({3, 3}, armnn::DataType::Float32); |
| 1982 | |
| 1983 | armnn::ReshapeDescriptor descriptor({3, 3}); |
| 1984 | |
| 1985 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1986 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1987 | armnn::IConnectableLayer* const reshapeLayer = network->AddReshapeLayer(descriptor, layerName.c_str()); |
| 1988 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 1989 | |
| 1990 | inputLayer->GetOutputSlot(0).Connect(reshapeLayer->GetInputSlot(0)); |
| 1991 | reshapeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 1992 | |
| 1993 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1994 | reshapeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 1995 | |
| 1996 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 1997 | BOOST_CHECK(deserializedNetwork); |
| 1998 | |
| 1999 | ReshapeLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2000 | deserializedNetwork->Accept(verifier); |
| 2001 | } |
| 2002 | |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2003 | BOOST_AUTO_TEST_CASE(SerializeResize) |
| 2004 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2005 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Resize) |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2006 | |
| 2007 | const std::string layerName("resize"); |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2008 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2009 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2010 | |
| 2011 | armnn::ResizeDescriptor desc; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2012 | desc.m_TargetWidth = 4; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2013 | desc.m_TargetHeight = 2; |
Aron Virginas-Tar | 169d2f1 | 2019-07-01 19:01:44 +0100 | [diff] [blame] | 2014 | desc.m_Method = armnn::ResizeMethod::NearestNeighbor; |
FinnWilliamsArm | 6fb339a | 2019-06-28 15:07:10 +0100 | [diff] [blame] | 2015 | |
| 2016 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2017 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2018 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeLayer(desc, layerName.c_str()); |
| 2019 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2020 | |
| 2021 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 2022 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2023 | |
| 2024 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2025 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2026 | |
| 2027 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2028 | BOOST_CHECK(deserializedNetwork); |
| 2029 | |
| 2030 | ResizeLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 2031 | deserializedNetwork->Accept(verifier); |
| 2032 | } |
| 2033 | |
Aron Virginas-Tar | fe414cf | 2019-10-31 14:35:58 +0000 | [diff] [blame] | 2034 | class ResizeBilinearLayerVerifier : public LayerVerifierBaseWithDescriptor<armnn::ResizeBilinearDescriptor> |
| 2035 | { |
| 2036 | public: |
| 2037 | ResizeBilinearLayerVerifier(const std::string& layerName, |
| 2038 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2039 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 2040 | const armnn::ResizeBilinearDescriptor& descriptor) |
| 2041 | : LayerVerifierBaseWithDescriptor<armnn::ResizeBilinearDescriptor>( |
| 2042 | layerName, inputInfos, outputInfos, descriptor) {} |
| 2043 | |
| 2044 | void VisitResizeLayer(const armnn::IConnectableLayer* layer, |
| 2045 | const armnn::ResizeDescriptor& descriptor, |
| 2046 | const char* name) override |
| 2047 | { |
| 2048 | VerifyNameAndConnections(layer, name); |
| 2049 | |
| 2050 | BOOST_CHECK(descriptor.m_Method == armnn::ResizeMethod::Bilinear); |
| 2051 | BOOST_CHECK(descriptor.m_TargetWidth == m_Descriptor.m_TargetWidth); |
| 2052 | BOOST_CHECK(descriptor.m_TargetHeight == m_Descriptor.m_TargetHeight); |
| 2053 | BOOST_CHECK(descriptor.m_DataLayout == m_Descriptor.m_DataLayout); |
| 2054 | } |
| 2055 | |
| 2056 | void VisitResizeBilinearLayer(const armnn::IConnectableLayer*, |
| 2057 | const armnn::ResizeBilinearDescriptor&, |
| 2058 | const char*) override |
| 2059 | { |
| 2060 | throw armnn::Exception("ResizeBilinearLayer should have translated to ResizeLayer"); |
| 2061 | } |
| 2062 | }; |
| 2063 | |
| 2064 | // NOTE: Until the deprecated AddResizeBilinearLayer disappears this test checks that |
| 2065 | // calling AddResizeBilinearLayer places a ResizeLayer into the serialized format |
| 2066 | // and that when this deserialises we have a ResizeLayer |
| 2067 | BOOST_AUTO_TEST_CASE(SerializeResizeBilinear) |
| 2068 | { |
| 2069 | const std::string layerName("resizeBilinear"); |
| 2070 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 2071 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2072 | |
| 2073 | armnn::ResizeBilinearDescriptor desc; |
| 2074 | desc.m_TargetWidth = 4u; |
| 2075 | desc.m_TargetHeight = 2u; |
| 2076 | |
| 2077 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2078 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2079 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
| 2080 | armnn::IConnectableLayer* const resizeLayer = network->AddResizeBilinearLayer(desc, layerName.c_str()); |
| 2081 | ARMNN_NO_DEPRECATE_WARN_END |
| 2082 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2083 | |
| 2084 | inputLayer->GetOutputSlot(0).Connect(resizeLayer->GetInputSlot(0)); |
| 2085 | resizeLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2086 | |
| 2087 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2088 | resizeLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2089 | |
| 2090 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2091 | BOOST_CHECK(deserializedNetwork); |
| 2092 | |
| 2093 | ResizeBilinearLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 2094 | deserializedNetwork->Accept(verifier); |
| 2095 | } |
| 2096 | |
| 2097 | BOOST_AUTO_TEST_CASE(EnsureResizeBilinearBackwardCompatibility) |
| 2098 | { |
| 2099 | // The hex data below is a flat buffer containing a simple network with an input, |
| 2100 | // a ResizeBilinearLayer (now deprecated) and an output |
| 2101 | // |
| 2102 | // This test verifies that we can still deserialize this old-style model by replacing |
| 2103 | // the ResizeBilinearLayer with an equivalent ResizeLayer |
| 2104 | const std::vector<uint8_t> resizeBilinearModel = |
| 2105 | { |
| 2106 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 2107 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 2108 | 0x50, 0x01, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2109 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0xD4, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 2110 | 0x04, 0x00, 0x00, 0x00, 0xC2, 0xFE, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, |
| 2111 | 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x8A, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 2112 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2113 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2114 | 0x38, 0xFF, 0xFF, 0xFF, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x30, 0xFF, 0xFF, 0xFF, 0x00, 0x00, |
| 2115 | 0x00, 0x1A, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 2116 | 0x34, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x12, 0x00, 0x08, 0x00, 0x0C, 0x00, |
| 2117 | 0x07, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 2118 | 0x00, 0x00, 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, 0x0E, 0x00, |
| 2119 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x19, 0x00, 0x00, 0x00, 0x1C, 0x00, 0x00, 0x00, |
| 2120 | 0x20, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x72, 0x65, 0x73, 0x69, 0x7A, 0x65, 0x42, 0x69, 0x6C, 0x69, |
| 2121 | 0x6E, 0x65, 0x61, 0x72, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x48, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 2122 | 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 2123 | 0x00, 0x00, 0x52, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2124 | 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 2125 | 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2126 | 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2127 | 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, |
| 2128 | 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, |
| 2129 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 2130 | 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 2131 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, |
| 2132 | 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, |
| 2133 | 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 2134 | 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 2135 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00 |
| 2136 | }; |
| 2137 | |
| 2138 | armnn::INetworkPtr deserializedNetwork = |
| 2139 | DeserializeNetwork(std::string(resizeBilinearModel.begin(), resizeBilinearModel.end())); |
| 2140 | BOOST_CHECK(deserializedNetwork); |
| 2141 | |
| 2142 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({1, 3, 5, 5}, armnn::DataType::Float32); |
| 2143 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({1, 3, 2, 4}, armnn::DataType::Float32); |
| 2144 | |
| 2145 | armnn::ResizeBilinearDescriptor descriptor; |
| 2146 | descriptor.m_TargetWidth = 4u; |
| 2147 | descriptor.m_TargetHeight = 2u; |
| 2148 | |
| 2149 | ResizeBilinearLayerVerifier verifier("resizeBilinear", { inputInfo }, { outputInfo }, descriptor); |
| 2150 | deserializedNetwork->Accept(verifier); |
| 2151 | } |
| 2152 | |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2153 | BOOST_AUTO_TEST_CASE(SerializeSlice) |
| 2154 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2155 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Slice) |
Aron Virginas-Tar | 2fda80b | 2019-09-18 13:36:52 +0100 | [diff] [blame] | 2156 | |
| 2157 | const std::string layerName{"slice"}; |
| 2158 | |
| 2159 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2160 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({2, 2, 2, 1}, armnn::DataType::Float32); |
| 2161 | |
| 2162 | armnn::SliceDescriptor descriptor({ 0, 0, 1, 0}, {2, 2, 2, 1}); |
| 2163 | |
| 2164 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2165 | |
| 2166 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2167 | armnn::IConnectableLayer* const sliceLayer = network->AddSliceLayer(descriptor, layerName.c_str()); |
| 2168 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2169 | |
| 2170 | inputLayer->GetOutputSlot(0).Connect(sliceLayer->GetInputSlot(0)); |
| 2171 | sliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2172 | |
| 2173 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2174 | sliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2175 | |
| 2176 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2177 | BOOST_CHECK(deserializedNetwork); |
| 2178 | |
| 2179 | SliceLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor); |
| 2180 | deserializedNetwork->Accept(verifier); |
| 2181 | } |
| 2182 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2183 | BOOST_AUTO_TEST_CASE(SerializeSoftmax) |
| 2184 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2185 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Softmax) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2186 | |
| 2187 | const std::string layerName("softmax"); |
| 2188 | const armnn::TensorInfo info({1, 10}, armnn::DataType::Float32); |
| 2189 | |
| 2190 | armnn::SoftmaxDescriptor descriptor; |
| 2191 | descriptor.m_Beta = 1.0f; |
| 2192 | |
| 2193 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2194 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2195 | armnn::IConnectableLayer* const softmaxLayer = network->AddSoftmaxLayer(descriptor, layerName.c_str()); |
| 2196 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2197 | |
| 2198 | inputLayer->GetOutputSlot(0).Connect(softmaxLayer->GetInputSlot(0)); |
| 2199 | softmaxLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2200 | |
| 2201 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2202 | softmaxLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2203 | |
| 2204 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2205 | BOOST_CHECK(deserializedNetwork); |
| 2206 | |
| 2207 | SoftmaxLayerVerifier verifier(layerName, {info}, {info}, descriptor); |
| 2208 | deserializedNetwork->Accept(verifier); |
| 2209 | } |
| 2210 | |
| 2211 | BOOST_AUTO_TEST_CASE(SerializeSpaceToBatchNd) |
| 2212 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2213 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(SpaceToBatchNd) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2214 | |
| 2215 | const std::string layerName("spaceToBatchNd"); |
| 2216 | const armnn::TensorInfo inputInfo({2, 1, 2, 4}, armnn::DataType::Float32); |
| 2217 | const armnn::TensorInfo outputInfo({8, 1, 1, 3}, armnn::DataType::Float32); |
| 2218 | |
| 2219 | armnn::SpaceToBatchNdDescriptor desc; |
| 2220 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2221 | desc.m_BlockShape = {2, 2}; |
| 2222 | desc.m_PadList = {{0, 0}, {2, 0}}; |
| 2223 | |
| 2224 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2225 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2226 | armnn::IConnectableLayer* const spaceToBatchNdLayer = network->AddSpaceToBatchNdLayer(desc, layerName.c_str()); |
| 2227 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2228 | |
| 2229 | inputLayer->GetOutputSlot(0).Connect(spaceToBatchNdLayer->GetInputSlot(0)); |
| 2230 | spaceToBatchNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2231 | |
| 2232 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2233 | spaceToBatchNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2234 | |
| 2235 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2236 | BOOST_CHECK(deserializedNetwork); |
| 2237 | |
| 2238 | SpaceToBatchNdLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 2239 | deserializedNetwork->Accept(verifier); |
| 2240 | } |
| 2241 | |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2242 | BOOST_AUTO_TEST_CASE(SerializeSpaceToDepth) |
| 2243 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2244 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(SpaceToDepth) |
Aron Virginas-Tar | aa06714 | 2019-06-11 16:01:44 +0100 | [diff] [blame] | 2245 | |
| 2246 | const std::string layerName("spaceToDepth"); |
| 2247 | |
| 2248 | const armnn::TensorInfo inputInfo ({ 1, 16, 8, 3 }, armnn::DataType::Float32); |
| 2249 | const armnn::TensorInfo outputInfo({ 1, 8, 4, 12 }, armnn::DataType::Float32); |
| 2250 | |
| 2251 | armnn::SpaceToDepthDescriptor desc; |
| 2252 | desc.m_BlockSize = 2; |
| 2253 | desc.m_DataLayout = armnn::DataLayout::NHWC; |
| 2254 | |
| 2255 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2256 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2257 | armnn::IConnectableLayer* const spaceToDepthLayer = network->AddSpaceToDepthLayer(desc, layerName.c_str()); |
| 2258 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2259 | |
| 2260 | inputLayer->GetOutputSlot(0).Connect(spaceToDepthLayer->GetInputSlot(0)); |
| 2261 | spaceToDepthLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2262 | |
| 2263 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2264 | spaceToDepthLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2265 | |
| 2266 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2267 | BOOST_CHECK(deserializedNetwork); |
| 2268 | |
| 2269 | SpaceToDepthLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 2270 | deserializedNetwork->Accept(verifier); |
| 2271 | } |
| 2272 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2273 | BOOST_AUTO_TEST_CASE(SerializeSplitter) |
| 2274 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2275 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Splitter) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2276 | |
| 2277 | const unsigned int numViews = 3; |
| 2278 | const unsigned int numDimensions = 4; |
| 2279 | const unsigned int inputShape[] = {1, 18, 4, 4}; |
| 2280 | const unsigned int outputShape[] = {1, 6, 4, 4}; |
| 2281 | |
| 2282 | // This is modelled on how the caffe parser sets up a splitter layer to partition an input along dimension one. |
| 2283 | unsigned int splitterDimSizes[4] = {static_cast<unsigned int>(inputShape[0]), |
| 2284 | static_cast<unsigned int>(inputShape[1]), |
| 2285 | static_cast<unsigned int>(inputShape[2]), |
| 2286 | static_cast<unsigned int>(inputShape[3])}; |
| 2287 | splitterDimSizes[1] /= numViews; |
| 2288 | armnn::ViewsDescriptor desc(numViews, numDimensions); |
| 2289 | |
| 2290 | for (unsigned int g = 0; g < numViews; ++g) |
| 2291 | { |
| 2292 | desc.SetViewOriginCoord(g, 1, splitterDimSizes[1] * g); |
| 2293 | |
| 2294 | for (unsigned int dimIdx=0; dimIdx < 4; dimIdx++) |
| 2295 | { |
| 2296 | desc.SetViewSize(g, dimIdx, splitterDimSizes[dimIdx]); |
| 2297 | } |
| 2298 | } |
| 2299 | |
| 2300 | const std::string layerName("splitter"); |
| 2301 | const armnn::TensorInfo inputInfo(numDimensions, inputShape, armnn::DataType::Float32); |
| 2302 | const armnn::TensorInfo outputInfo(numDimensions, outputShape, armnn::DataType::Float32); |
| 2303 | |
| 2304 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2305 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2306 | armnn::IConnectableLayer* const splitterLayer = network->AddSplitterLayer(desc, layerName.c_str()); |
| 2307 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2308 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2309 | armnn::IConnectableLayer* const outputLayer2 = network->AddOutputLayer(2); |
| 2310 | |
| 2311 | inputLayer->GetOutputSlot(0).Connect(splitterLayer->GetInputSlot(0)); |
| 2312 | splitterLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2313 | splitterLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2314 | splitterLayer->GetOutputSlot(2).Connect(outputLayer2->GetInputSlot(0)); |
| 2315 | |
| 2316 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2317 | splitterLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2318 | splitterLayer->GetOutputSlot(1).SetTensorInfo(outputInfo); |
| 2319 | splitterLayer->GetOutputSlot(2).SetTensorInfo(outputInfo); |
| 2320 | |
| 2321 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2322 | BOOST_CHECK(deserializedNetwork); |
| 2323 | |
| 2324 | SplitterLayerVerifier verifier(layerName, {inputInfo}, {outputInfo, outputInfo, outputInfo}, desc); |
| 2325 | deserializedNetwork->Accept(verifier); |
| 2326 | } |
| 2327 | |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2328 | BOOST_AUTO_TEST_CASE(SerializeStack) |
| 2329 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2330 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(Stack) |
Matthew Jackson | b5433ee | 2019-07-11 15:54:20 +0100 | [diff] [blame] | 2331 | |
| 2332 | const std::string layerName("stack"); |
| 2333 | |
| 2334 | armnn::TensorInfo inputTensorInfo ({4, 3, 5}, armnn::DataType::Float32); |
| 2335 | armnn::TensorInfo outputTensorInfo({4, 3, 2, 5}, armnn::DataType::Float32); |
| 2336 | |
| 2337 | armnn::StackDescriptor descriptor(2, 2, {4, 3, 5}); |
| 2338 | |
| 2339 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2340 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(0); |
| 2341 | armnn::IConnectableLayer* const inputLayer2 = network->AddInputLayer(1); |
| 2342 | armnn::IConnectableLayer* const stackLayer = network->AddStackLayer(descriptor, layerName.c_str()); |
| 2343 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2344 | |
| 2345 | inputLayer1->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(0)); |
| 2346 | inputLayer2->GetOutputSlot(0).Connect(stackLayer->GetInputSlot(1)); |
| 2347 | stackLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2348 | |
| 2349 | inputLayer1->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2350 | inputLayer2->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2351 | stackLayer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo); |
| 2352 | |
| 2353 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2354 | BOOST_CHECK(deserializedNetwork); |
| 2355 | |
| 2356 | StackLayerVerifier verifier(layerName, {inputTensorInfo, inputTensorInfo}, {outputTensorInfo}, descriptor); |
| 2357 | deserializedNetwork->Accept(verifier); |
| 2358 | } |
| 2359 | |
Aron Virginas-Tar | 85121a2 | 2019-10-23 10:41:35 +0100 | [diff] [blame] | 2360 | BOOST_AUTO_TEST_CASE(SerializeStandIn) |
| 2361 | { |
| 2362 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(StandIn) |
| 2363 | |
| 2364 | const std::string layerName("standIn"); |
| 2365 | |
| 2366 | armnn::TensorInfo tensorInfo({ 1u }, armnn::DataType::Float32); |
| 2367 | armnn::StandInDescriptor descriptor(2u, 2u); |
| 2368 | |
| 2369 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2370 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2371 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2372 | armnn::IConnectableLayer* const standInLayer = network->AddStandInLayer(descriptor, layerName.c_str()); |
| 2373 | armnn::IConnectableLayer* const outputLayer0 = network->AddOutputLayer(0); |
| 2374 | armnn::IConnectableLayer* const outputLayer1 = network->AddOutputLayer(1); |
| 2375 | |
| 2376 | inputLayer0->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(0)); |
| 2377 | inputLayer0->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2378 | |
| 2379 | inputLayer1->GetOutputSlot(0).Connect(standInLayer->GetInputSlot(1)); |
| 2380 | inputLayer1->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2381 | |
| 2382 | standInLayer->GetOutputSlot(0).Connect(outputLayer0->GetInputSlot(0)); |
| 2383 | standInLayer->GetOutputSlot(0).SetTensorInfo(tensorInfo); |
| 2384 | |
| 2385 | standInLayer->GetOutputSlot(1).Connect(outputLayer1->GetInputSlot(0)); |
| 2386 | standInLayer->GetOutputSlot(1).SetTensorInfo(tensorInfo); |
| 2387 | |
| 2388 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2389 | BOOST_CHECK(deserializedNetwork); |
| 2390 | |
| 2391 | StandInLayerVerifier verifier(layerName, { tensorInfo, tensorInfo }, { tensorInfo, tensorInfo }, descriptor); |
| 2392 | deserializedNetwork->Accept(verifier); |
| 2393 | } |
| 2394 | |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2395 | BOOST_AUTO_TEST_CASE(SerializeStridedSlice) |
| 2396 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2397 | DECLARE_LAYER_VERIFIER_CLASS_WITH_DESCRIPTOR(StridedSlice) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2398 | |
| 2399 | const std::string layerName("stridedSlice"); |
| 2400 | const armnn::TensorInfo inputInfo = armnn::TensorInfo({3, 2, 3, 1}, armnn::DataType::Float32); |
| 2401 | const armnn::TensorInfo outputInfo = armnn::TensorInfo({3, 1}, armnn::DataType::Float32); |
| 2402 | |
| 2403 | armnn::StridedSliceDescriptor desc({0, 0, 1, 0}, {1, 1, 1, 1}, {1, 1, 1, 1}); |
| 2404 | desc.m_EndMask = (1 << 4) - 1; |
| 2405 | desc.m_ShrinkAxisMask = (1 << 1) | (1 << 2); |
| 2406 | desc.m_DataLayout = armnn::DataLayout::NCHW; |
| 2407 | |
| 2408 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2409 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2410 | armnn::IConnectableLayer* const stridedSliceLayer = network->AddStridedSliceLayer(desc, layerName.c_str()); |
| 2411 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2412 | |
| 2413 | inputLayer->GetOutputSlot(0).Connect(stridedSliceLayer->GetInputSlot(0)); |
| 2414 | stridedSliceLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2415 | |
| 2416 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2417 | stridedSliceLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2418 | |
| 2419 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2420 | BOOST_CHECK(deserializedNetwork); |
| 2421 | |
| 2422 | StridedSliceLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, desc); |
| 2423 | deserializedNetwork->Accept(verifier); |
| 2424 | } |
| 2425 | |
| 2426 | BOOST_AUTO_TEST_CASE(SerializeSubtraction) |
| 2427 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2428 | DECLARE_LAYER_VERIFIER_CLASS(Subtraction) |
Nattapat Chaimanowong | 03acd68 | 2019-03-20 11:19:52 +0000 | [diff] [blame] | 2429 | |
| 2430 | const std::string layerName("subtraction"); |
| 2431 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2432 | |
| 2433 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2434 | armnn::IConnectableLayer* const inputLayer0 = network->AddInputLayer(0); |
| 2435 | armnn::IConnectableLayer* const inputLayer1 = network->AddInputLayer(1); |
| 2436 | armnn::IConnectableLayer* const subtractionLayer = network->AddSubtractionLayer(layerName.c_str()); |
| 2437 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2438 | |
| 2439 | inputLayer0->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(0)); |
| 2440 | inputLayer1->GetOutputSlot(0).Connect(subtractionLayer->GetInputSlot(1)); |
| 2441 | subtractionLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2442 | |
| 2443 | inputLayer0->GetOutputSlot(0).SetTensorInfo(info); |
| 2444 | inputLayer1->GetOutputSlot(0).SetTensorInfo(info); |
| 2445 | subtractionLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2446 | |
| 2447 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2448 | BOOST_CHECK(deserializedNetwork); |
| 2449 | |
| 2450 | SubtractionLayerVerifier verifier(layerName, {info, info}, {info}); |
| 2451 | deserializedNetwork->Accept(verifier); |
Nattapat Chaimanowong | 3e14a9d | 2019-03-18 12:37:06 +0000 | [diff] [blame] | 2452 | } |
| 2453 | |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2454 | BOOST_AUTO_TEST_CASE(SerializeSwitch) |
| 2455 | { |
| 2456 | class SwitchLayerVerifier : public LayerVerifierBase |
| 2457 | { |
| 2458 | public: |
| 2459 | SwitchLayerVerifier(const std::string& layerName, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2460 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2461 | const std::vector<armnn::TensorInfo>& outputInfos) |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2462 | : LayerVerifierBase(layerName, inputInfos, outputInfos) {} |
| 2463 | |
| 2464 | void VisitSwitchLayer(const armnn::IConnectableLayer* layer, const char* name) override |
| 2465 | { |
| 2466 | VerifyNameAndConnections(layer, name); |
| 2467 | } |
| 2468 | |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 2469 | void VisitConstantLayer(const armnn::IConnectableLayer*, |
| 2470 | const armnn::ConstTensor&, |
| 2471 | const char*) override {} |
Sadik Armagan | eff363d | 2019-04-05 15:25:46 +0100 | [diff] [blame] | 2472 | }; |
| 2473 | |
| 2474 | const std::string layerName("switch"); |
| 2475 | const armnn::TensorInfo info({ 1, 4 }, armnn::DataType::Float32); |
| 2476 | |
| 2477 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2478 | armnn::ConstTensor constTensor(info, constantData); |
| 2479 | |
| 2480 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2481 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2482 | armnn::IConnectableLayer* const constantLayer = network->AddConstantLayer(constTensor, "constant"); |
| 2483 | armnn::IConnectableLayer* const switchLayer = network->AddSwitchLayer(layerName.c_str()); |
| 2484 | armnn::IConnectableLayer* const trueOutputLayer = network->AddOutputLayer(0); |
| 2485 | armnn::IConnectableLayer* const falseOutputLayer = network->AddOutputLayer(1); |
| 2486 | |
| 2487 | inputLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(0)); |
| 2488 | constantLayer->GetOutputSlot(0).Connect(switchLayer->GetInputSlot(1)); |
| 2489 | switchLayer->GetOutputSlot(0).Connect(trueOutputLayer->GetInputSlot(0)); |
| 2490 | switchLayer->GetOutputSlot(1).Connect(falseOutputLayer->GetInputSlot(0)); |
| 2491 | |
| 2492 | inputLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2493 | constantLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2494 | switchLayer->GetOutputSlot(0).SetTensorInfo(info); |
| 2495 | switchLayer->GetOutputSlot(1).SetTensorInfo(info); |
| 2496 | |
| 2497 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2498 | BOOST_CHECK(deserializedNetwork); |
| 2499 | |
| 2500 | SwitchLayerVerifier verifier(layerName, {info, info}, {info, info}); |
| 2501 | deserializedNetwork->Accept(verifier); |
| 2502 | } |
| 2503 | |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2504 | BOOST_AUTO_TEST_CASE(SerializeTransposeConvolution2d) |
| 2505 | { |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2506 | using Descriptor = armnn::TransposeConvolution2dDescriptor; |
| 2507 | class TransposeConvolution2dLayerVerifier : public LayerVerifierBaseWithDescriptor<Descriptor> |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2508 | { |
| 2509 | public: |
| 2510 | TransposeConvolution2dLayerVerifier(const std::string& layerName, |
| 2511 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2512 | const std::vector<armnn::TensorInfo>& outputInfos, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2513 | const Descriptor& descriptor, |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2514 | const armnn::ConstTensor& weights, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2515 | const armnn::Optional<armnn::ConstTensor>& biases) |
| 2516 | : LayerVerifierBaseWithDescriptor<Descriptor>(layerName, inputInfos, outputInfos, descriptor) |
| 2517 | , m_Weights(weights) |
| 2518 | , m_Biases(biases) |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2519 | {} |
| 2520 | |
| 2521 | void VisitTransposeConvolution2dLayer(const armnn::IConnectableLayer* layer, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2522 | const Descriptor& descriptor, |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2523 | const armnn::ConstTensor& weights, |
| 2524 | const armnn::Optional<armnn::ConstTensor>& biases, |
| 2525 | const char* name) override |
| 2526 | { |
| 2527 | VerifyNameAndConnections(layer, name); |
| 2528 | VerifyDescriptor(descriptor); |
| 2529 | |
| 2530 | // check weights |
| 2531 | CompareConstTensor(weights, m_Weights); |
| 2532 | |
| 2533 | // check biases |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2534 | BOOST_CHECK(biases.has_value() == descriptor.m_BiasEnabled); |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2535 | BOOST_CHECK(biases.has_value() == m_Biases.has_value()); |
| 2536 | |
| 2537 | if (biases.has_value() && m_Biases.has_value()) |
| 2538 | { |
| 2539 | CompareConstTensor(biases.value(), m_Biases.value()); |
| 2540 | } |
| 2541 | } |
| 2542 | |
| 2543 | private: |
Aron Virginas-Tar | cb54930 | 2019-06-21 13:53:38 +0100 | [diff] [blame] | 2544 | armnn::ConstTensor m_Weights; |
| 2545 | armnn::Optional<armnn::ConstTensor> m_Biases; |
| 2546 | }; |
| 2547 | |
| 2548 | const std::string layerName("transposeConvolution2d"); |
| 2549 | const armnn::TensorInfo inputInfo ({ 1, 7, 7, 1 }, armnn::DataType::Float32); |
| 2550 | const armnn::TensorInfo outputInfo({ 1, 9, 9, 1 }, armnn::DataType::Float32); |
| 2551 | |
| 2552 | const armnn::TensorInfo weightsInfo({ 1, 3, 3, 1 }, armnn::DataType::Float32); |
| 2553 | const armnn::TensorInfo biasesInfo ({ 1 }, armnn::DataType::Float32); |
| 2554 | |
| 2555 | std::vector<float> weightsData = GenerateRandomData<float>(weightsInfo.GetNumElements()); |
| 2556 | armnn::ConstTensor weights(weightsInfo, weightsData); |
| 2557 | |
| 2558 | std::vector<float> biasesData = GenerateRandomData<float>(biasesInfo.GetNumElements()); |
| 2559 | armnn::ConstTensor biases(biasesInfo, biasesData); |
| 2560 | |
| 2561 | armnn::TransposeConvolution2dDescriptor descriptor; |
| 2562 | descriptor.m_PadLeft = 1; |
| 2563 | descriptor.m_PadRight = 1; |
| 2564 | descriptor.m_PadTop = 1; |
| 2565 | descriptor.m_PadBottom = 1; |
| 2566 | descriptor.m_StrideX = 1; |
| 2567 | descriptor.m_StrideY = 1; |
| 2568 | descriptor.m_BiasEnabled = true; |
| 2569 | descriptor.m_DataLayout = armnn::DataLayout::NHWC; |
| 2570 | |
| 2571 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2572 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2573 | armnn::IConnectableLayer* const convLayer = |
| 2574 | network->AddTransposeConvolution2dLayer(descriptor, |
| 2575 | weights, |
| 2576 | armnn::Optional<armnn::ConstTensor>(biases), |
| 2577 | layerName.c_str()); |
| 2578 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2579 | |
| 2580 | inputLayer->GetOutputSlot(0).Connect(convLayer->GetInputSlot(0)); |
| 2581 | convLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0)); |
| 2582 | |
| 2583 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2584 | convLayer->GetOutputSlot(0).SetTensorInfo(outputInfo); |
| 2585 | |
| 2586 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2587 | BOOST_CHECK(deserializedNetwork); |
| 2588 | |
| 2589 | TransposeConvolution2dLayerVerifier verifier(layerName, {inputInfo}, {outputInfo}, descriptor, weights, biases); |
| 2590 | deserializedNetwork->Accept(verifier); |
| 2591 | } |
| 2592 | |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2593 | BOOST_AUTO_TEST_CASE(SerializeDeserializeNonLinearNetwork) |
| 2594 | { |
| 2595 | class ConstantLayerVerifier : public LayerVerifierBase |
| 2596 | { |
| 2597 | public: |
| 2598 | ConstantLayerVerifier(const std::string& layerName, |
| 2599 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2600 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 2601 | const armnn::ConstTensor& layerInput) |
| 2602 | : LayerVerifierBase(layerName, inputInfos, outputInfos) |
| 2603 | , m_LayerInput(layerInput) {} |
| 2604 | |
| 2605 | void VisitConstantLayer(const armnn::IConnectableLayer* layer, |
| 2606 | const armnn::ConstTensor& input, |
| 2607 | const char* name) override |
| 2608 | { |
| 2609 | VerifyNameAndConnections(layer, name); |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2610 | CompareConstTensor(input, m_LayerInput); |
| 2611 | } |
| 2612 | |
Derek Lamberti | 859f9ce | 2019-12-10 22:05:21 +0000 | [diff] [blame] | 2613 | void VisitAdditionLayer(const armnn::IConnectableLayer*, const char*) override {} |
Sadik Armagan | db059fd | 2019-03-20 12:28:32 +0000 | [diff] [blame] | 2614 | |
| 2615 | private: |
| 2616 | armnn::ConstTensor m_LayerInput; |
| 2617 | }; |
| 2618 | |
| 2619 | const std::string layerName("constant"); |
| 2620 | const armnn::TensorInfo info({ 2, 3 }, armnn::DataType::Float32); |
| 2621 | |
| 2622 | std::vector<float> constantData = GenerateRandomData<float>(info.GetNumElements()); |
| 2623 | armnn::ConstTensor constTensor(info, constantData); |
| 2624 | |
| 2625 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
| 2626 | armnn::IConnectableLayer* input = network->AddInputLayer(0); |
| 2627 | armnn::IConnectableLayer* add = network->AddAdditionLayer(); |
| 2628 | armnn::IConnectableLayer* constant = network->AddConstantLayer(constTensor, layerName.c_str()); |
| 2629 | armnn::IConnectableLayer* output = network->AddOutputLayer(0); |
| 2630 | |
| 2631 | input->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 2632 | constant->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 2633 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 2634 | |
| 2635 | input->GetOutputSlot(0).SetTensorInfo(info); |
| 2636 | constant->GetOutputSlot(0).SetTensorInfo(info); |
| 2637 | add->GetOutputSlot(0).SetTensorInfo(info); |
| 2638 | |
| 2639 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2640 | BOOST_CHECK(deserializedNetwork); |
| 2641 | |
| 2642 | ConstantLayerVerifier verifier(layerName, {}, {info}, constTensor); |
| 2643 | deserializedNetwork->Accept(verifier); |
| 2644 | } |
| 2645 | |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2646 | class VerifyLstmLayer : public LayerVerifierBaseWithDescriptor<armnn::LstmDescriptor> |
Jim Flynn | 11af375 | 2019-03-19 17:22:29 +0000 | [diff] [blame] | 2647 | { |
| 2648 | public: |
| 2649 | VerifyLstmLayer(const std::string& layerName, |
| 2650 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 2651 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 2652 | const armnn::LstmDescriptor& descriptor, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2653 | const armnn::LstmInputParams& inputParams) |
| 2654 | : LayerVerifierBaseWithDescriptor<armnn::LstmDescriptor>(layerName, inputInfos, outputInfos, descriptor) |
| 2655 | , m_InputParams(inputParams) {} |
| 2656 | |
Jim Flynn | 11af375 | 2019-03-19 17:22:29 +0000 | [diff] [blame] | 2657 | void VisitLstmLayer(const armnn::IConnectableLayer* layer, |
| 2658 | const armnn::LstmDescriptor& descriptor, |
| 2659 | const armnn::LstmInputParams& params, |
| 2660 | const char* name) |
| 2661 | { |
| 2662 | VerifyNameAndConnections(layer, name); |
| 2663 | VerifyDescriptor(descriptor); |
| 2664 | VerifyInputParameters(params); |
| 2665 | } |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2666 | |
Jim Flynn | 11af375 | 2019-03-19 17:22:29 +0000 | [diff] [blame] | 2667 | protected: |
Jim Flynn | 11af375 | 2019-03-19 17:22:29 +0000 | [diff] [blame] | 2668 | void VerifyInputParameters(const armnn::LstmInputParams& params) |
| 2669 | { |
| 2670 | VerifyConstTensors( |
| 2671 | "m_InputToInputWeights", m_InputParams.m_InputToInputWeights, params.m_InputToInputWeights); |
| 2672 | VerifyConstTensors( |
| 2673 | "m_InputToForgetWeights", m_InputParams.m_InputToForgetWeights, params.m_InputToForgetWeights); |
| 2674 | VerifyConstTensors( |
| 2675 | "m_InputToCellWeights", m_InputParams.m_InputToCellWeights, params.m_InputToCellWeights); |
| 2676 | VerifyConstTensors( |
| 2677 | "m_InputToOutputWeights", m_InputParams.m_InputToOutputWeights, params.m_InputToOutputWeights); |
| 2678 | VerifyConstTensors( |
| 2679 | "m_RecurrentToInputWeights", m_InputParams.m_RecurrentToInputWeights, params.m_RecurrentToInputWeights); |
| 2680 | VerifyConstTensors( |
| 2681 | "m_RecurrentToForgetWeights", m_InputParams.m_RecurrentToForgetWeights, params.m_RecurrentToForgetWeights); |
| 2682 | VerifyConstTensors( |
| 2683 | "m_RecurrentToCellWeights", m_InputParams.m_RecurrentToCellWeights, params.m_RecurrentToCellWeights); |
| 2684 | VerifyConstTensors( |
| 2685 | "m_RecurrentToOutputWeights", m_InputParams.m_RecurrentToOutputWeights, params.m_RecurrentToOutputWeights); |
| 2686 | VerifyConstTensors( |
| 2687 | "m_CellToInputWeights", m_InputParams.m_CellToInputWeights, params.m_CellToInputWeights); |
| 2688 | VerifyConstTensors( |
| 2689 | "m_CellToForgetWeights", m_InputParams.m_CellToForgetWeights, params.m_CellToForgetWeights); |
| 2690 | VerifyConstTensors( |
| 2691 | "m_CellToOutputWeights", m_InputParams.m_CellToOutputWeights, params.m_CellToOutputWeights); |
| 2692 | VerifyConstTensors( |
| 2693 | "m_InputGateBias", m_InputParams.m_InputGateBias, params.m_InputGateBias); |
| 2694 | VerifyConstTensors( |
| 2695 | "m_ForgetGateBias", m_InputParams.m_ForgetGateBias, params.m_ForgetGateBias); |
| 2696 | VerifyConstTensors( |
| 2697 | "m_CellBias", m_InputParams.m_CellBias, params.m_CellBias); |
| 2698 | VerifyConstTensors( |
| 2699 | "m_OutputGateBias", m_InputParams.m_OutputGateBias, params.m_OutputGateBias); |
| 2700 | VerifyConstTensors( |
| 2701 | "m_ProjectionWeights", m_InputParams.m_ProjectionWeights, params.m_ProjectionWeights); |
| 2702 | VerifyConstTensors( |
| 2703 | "m_ProjectionBias", m_InputParams.m_ProjectionBias, params.m_ProjectionBias); |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2704 | VerifyConstTensors( |
| 2705 | "m_InputLayerNormWeights", m_InputParams.m_InputLayerNormWeights, params.m_InputLayerNormWeights); |
| 2706 | VerifyConstTensors( |
| 2707 | "m_ForgetLayerNormWeights", m_InputParams.m_ForgetLayerNormWeights, params.m_ForgetLayerNormWeights); |
| 2708 | VerifyConstTensors( |
| 2709 | "m_CellLayerNormWeights", m_InputParams.m_CellLayerNormWeights, params.m_CellLayerNormWeights); |
| 2710 | VerifyConstTensors( |
| 2711 | "m_OutputLayerNormWeights", m_InputParams.m_OutputLayerNormWeights, params.m_OutputLayerNormWeights); |
Jim Flynn | 11af375 | 2019-03-19 17:22:29 +0000 | [diff] [blame] | 2712 | } |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 2713 | |
Jim Flynn | 11af375 | 2019-03-19 17:22:29 +0000 | [diff] [blame] | 2714 | private: |
Jim Flynn | 11af375 | 2019-03-19 17:22:29 +0000 | [diff] [blame] | 2715 | armnn::LstmInputParams m_InputParams; |
| 2716 | }; |
| 2717 | |
| 2718 | BOOST_AUTO_TEST_CASE(SerializeDeserializeLstmCifgPeepholeNoProjection) |
| 2719 | { |
| 2720 | armnn::LstmDescriptor descriptor; |
| 2721 | descriptor.m_ActivationFunc = 4; |
| 2722 | descriptor.m_ClippingThresProj = 0.0f; |
| 2723 | descriptor.m_ClippingThresCell = 0.0f; |
| 2724 | descriptor.m_CifgEnabled = true; // if this is true then we DON'T need to set the OptCifgParams |
| 2725 | descriptor.m_ProjectionEnabled = false; |
| 2726 | descriptor.m_PeepholeEnabled = true; |
| 2727 | |
| 2728 | const uint32_t batchSize = 1; |
| 2729 | const uint32_t inputSize = 2; |
| 2730 | const uint32_t numUnits = 4; |
| 2731 | const uint32_t outputSize = numUnits; |
| 2732 | |
| 2733 | armnn::TensorInfo inputWeightsInfo1({numUnits, inputSize}, armnn::DataType::Float32); |
| 2734 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2735 | armnn::ConstTensor inputToForgetWeights(inputWeightsInfo1, inputToForgetWeightsData); |
| 2736 | |
| 2737 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2738 | armnn::ConstTensor inputToCellWeights(inputWeightsInfo1, inputToCellWeightsData); |
| 2739 | |
| 2740 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2741 | armnn::ConstTensor inputToOutputWeights(inputWeightsInfo1, inputToOutputWeightsData); |
| 2742 | |
| 2743 | armnn::TensorInfo inputWeightsInfo2({numUnits, outputSize}, armnn::DataType::Float32); |
| 2744 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2745 | armnn::ConstTensor recurrentToForgetWeights(inputWeightsInfo2, recurrentToForgetWeightsData); |
| 2746 | |
| 2747 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2748 | armnn::ConstTensor recurrentToCellWeights(inputWeightsInfo2, recurrentToCellWeightsData); |
| 2749 | |
| 2750 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2751 | armnn::ConstTensor recurrentToOutputWeights(inputWeightsInfo2, recurrentToOutputWeightsData); |
| 2752 | |
| 2753 | armnn::TensorInfo inputWeightsInfo3({numUnits}, armnn::DataType::Float32); |
| 2754 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo3.GetNumElements()); |
| 2755 | armnn::ConstTensor cellToForgetWeights(inputWeightsInfo3, cellToForgetWeightsData); |
| 2756 | |
| 2757 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo3.GetNumElements()); |
| 2758 | armnn::ConstTensor cellToOutputWeights(inputWeightsInfo3, cellToOutputWeightsData); |
| 2759 | |
| 2760 | std::vector<float> forgetGateBiasData(numUnits, 1.0f); |
| 2761 | armnn::ConstTensor forgetGateBias(inputWeightsInfo3, forgetGateBiasData); |
| 2762 | |
| 2763 | std::vector<float> cellBiasData(numUnits, 0.0f); |
| 2764 | armnn::ConstTensor cellBias(inputWeightsInfo3, cellBiasData); |
| 2765 | |
| 2766 | std::vector<float> outputGateBiasData(numUnits, 0.0f); |
| 2767 | armnn::ConstTensor outputGateBias(inputWeightsInfo3, outputGateBiasData); |
| 2768 | |
| 2769 | armnn::LstmInputParams params; |
| 2770 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 2771 | params.m_InputToCellWeights = &inputToCellWeights; |
| 2772 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 2773 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 2774 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 2775 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 2776 | params.m_ForgetGateBias = &forgetGateBias; |
| 2777 | params.m_CellBias = &cellBias; |
| 2778 | params.m_OutputGateBias = &outputGateBias; |
| 2779 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 2780 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 2781 | |
| 2782 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2783 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2784 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 2785 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 2786 | const std::string layerName("lstm"); |
| 2787 | armnn::IConnectableLayer* const lstmLayer = network->AddLstmLayer(descriptor, params, layerName.c_str()); |
| 2788 | armnn::IConnectableLayer* const scratchBuffer = network->AddOutputLayer(0); |
| 2789 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(1); |
| 2790 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(2); |
| 2791 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(3); |
| 2792 | |
| 2793 | // connect up |
| 2794 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); |
| 2795 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 2796 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
| 2797 | armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 3 }, armnn::DataType::Float32); |
| 2798 | |
| 2799 | inputLayer->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(0)); |
| 2800 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2801 | |
| 2802 | outputStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(1)); |
| 2803 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 2804 | |
| 2805 | cellStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(2)); |
| 2806 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 2807 | |
| 2808 | lstmLayer->GetOutputSlot(0).Connect(scratchBuffer->GetInputSlot(0)); |
| 2809 | lstmLayer->GetOutputSlot(0).SetTensorInfo(lstmTensorInfoScratchBuff); |
| 2810 | |
| 2811 | lstmLayer->GetOutputSlot(1).Connect(outputStateOut->GetInputSlot(0)); |
| 2812 | lstmLayer->GetOutputSlot(1).SetTensorInfo(outputStateTensorInfo); |
| 2813 | |
| 2814 | lstmLayer->GetOutputSlot(2).Connect(cellStateOut->GetInputSlot(0)); |
| 2815 | lstmLayer->GetOutputSlot(2).SetTensorInfo(cellStateTensorInfo); |
| 2816 | |
| 2817 | lstmLayer->GetOutputSlot(3).Connect(outputLayer->GetInputSlot(0)); |
| 2818 | lstmLayer->GetOutputSlot(3).SetTensorInfo(outputStateTensorInfo); |
| 2819 | |
| 2820 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2821 | BOOST_CHECK(deserializedNetwork); |
| 2822 | |
| 2823 | VerifyLstmLayer checker( |
| 2824 | layerName, |
| 2825 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
| 2826 | {lstmTensorInfoScratchBuff, outputStateTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 2827 | descriptor, |
| 2828 | params); |
| 2829 | deserializedNetwork->Accept(checker); |
| 2830 | } |
| 2831 | |
| 2832 | BOOST_AUTO_TEST_CASE(SerializeDeserializeLstmNoCifgWithPeepholeAndProjection) |
| 2833 | { |
| 2834 | armnn::LstmDescriptor descriptor; |
| 2835 | descriptor.m_ActivationFunc = 4; |
| 2836 | descriptor.m_ClippingThresProj = 0.0f; |
| 2837 | descriptor.m_ClippingThresCell = 0.0f; |
| 2838 | descriptor.m_CifgEnabled = false; // if this is true then we DON'T need to set the OptCifgParams |
| 2839 | descriptor.m_ProjectionEnabled = true; |
| 2840 | descriptor.m_PeepholeEnabled = true; |
| 2841 | |
| 2842 | const uint32_t batchSize = 2; |
| 2843 | const uint32_t inputSize = 5; |
| 2844 | const uint32_t numUnits = 20; |
| 2845 | const uint32_t outputSize = 16; |
| 2846 | |
| 2847 | armnn::TensorInfo tensorInfo20x5({numUnits, inputSize}, armnn::DataType::Float32); |
| 2848 | std::vector<float> inputToInputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2849 | armnn::ConstTensor inputToInputWeights(tensorInfo20x5, inputToInputWeightsData); |
| 2850 | |
| 2851 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2852 | armnn::ConstTensor inputToForgetWeights(tensorInfo20x5, inputToForgetWeightsData); |
| 2853 | |
| 2854 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2855 | armnn::ConstTensor inputToCellWeights(tensorInfo20x5, inputToCellWeightsData); |
| 2856 | |
| 2857 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2858 | armnn::ConstTensor inputToOutputWeights(tensorInfo20x5, inputToOutputWeightsData); |
| 2859 | |
| 2860 | armnn::TensorInfo tensorInfo20({numUnits}, armnn::DataType::Float32); |
| 2861 | std::vector<float> inputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2862 | armnn::ConstTensor inputGateBias(tensorInfo20, inputGateBiasData); |
| 2863 | |
| 2864 | std::vector<float> forgetGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2865 | armnn::ConstTensor forgetGateBias(tensorInfo20, forgetGateBiasData); |
| 2866 | |
| 2867 | std::vector<float> cellBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2868 | armnn::ConstTensor cellBias(tensorInfo20, cellBiasData); |
| 2869 | |
| 2870 | std::vector<float> outputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2871 | armnn::ConstTensor outputGateBias(tensorInfo20, outputGateBiasData); |
| 2872 | |
| 2873 | armnn::TensorInfo tensorInfo20x16({numUnits, outputSize}, armnn::DataType::Float32); |
| 2874 | std::vector<float> recurrentToInputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2875 | armnn::ConstTensor recurrentToInputWeights(tensorInfo20x16, recurrentToInputWeightsData); |
| 2876 | |
| 2877 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2878 | armnn::ConstTensor recurrentToForgetWeights(tensorInfo20x16, recurrentToForgetWeightsData); |
| 2879 | |
| 2880 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2881 | armnn::ConstTensor recurrentToCellWeights(tensorInfo20x16, recurrentToCellWeightsData); |
| 2882 | |
| 2883 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2884 | armnn::ConstTensor recurrentToOutputWeights(tensorInfo20x16, recurrentToOutputWeightsData); |
| 2885 | |
| 2886 | std::vector<float> cellToInputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2887 | armnn::ConstTensor cellToInputWeights(tensorInfo20, cellToInputWeightsData); |
| 2888 | |
| 2889 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2890 | armnn::ConstTensor cellToForgetWeights(tensorInfo20, cellToForgetWeightsData); |
| 2891 | |
| 2892 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2893 | armnn::ConstTensor cellToOutputWeights(tensorInfo20, cellToOutputWeightsData); |
| 2894 | |
| 2895 | armnn::TensorInfo tensorInfo16x20({outputSize, numUnits}, armnn::DataType::Float32); |
| 2896 | std::vector<float> projectionWeightsData = GenerateRandomData<float>(tensorInfo16x20.GetNumElements()); |
| 2897 | armnn::ConstTensor projectionWeights(tensorInfo16x20, projectionWeightsData); |
| 2898 | |
| 2899 | armnn::TensorInfo tensorInfo16({outputSize}, armnn::DataType::Float32); |
| 2900 | std::vector<float> projectionBiasData(outputSize, 0.f); |
| 2901 | armnn::ConstTensor projectionBias(tensorInfo16, projectionBiasData); |
| 2902 | |
| 2903 | armnn::LstmInputParams params; |
| 2904 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 2905 | params.m_InputToCellWeights = &inputToCellWeights; |
| 2906 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 2907 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 2908 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 2909 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 2910 | params.m_ForgetGateBias = &forgetGateBias; |
| 2911 | params.m_CellBias = &cellBias; |
| 2912 | params.m_OutputGateBias = &outputGateBias; |
| 2913 | |
| 2914 | // additional params because: descriptor.m_CifgEnabled = false |
| 2915 | params.m_InputToInputWeights = &inputToInputWeights; |
| 2916 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 2917 | params.m_CellToInputWeights = &cellToInputWeights; |
| 2918 | params.m_InputGateBias = &inputGateBias; |
| 2919 | |
| 2920 | // additional params because: descriptor.m_ProjectionEnabled = true |
| 2921 | params.m_ProjectionWeights = &projectionWeights; |
| 2922 | params.m_ProjectionBias = &projectionBias; |
| 2923 | |
| 2924 | // additional params because: descriptor.m_PeepholeEnabled = true |
| 2925 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 2926 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 2927 | |
| 2928 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2929 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2930 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 2931 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 2932 | const std::string layerName("lstm"); |
| 2933 | armnn::IConnectableLayer* const lstmLayer = network->AddLstmLayer(descriptor, params, layerName.c_str()); |
| 2934 | armnn::IConnectableLayer* const scratchBuffer = network->AddOutputLayer(0); |
| 2935 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(1); |
| 2936 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(2); |
| 2937 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(3); |
| 2938 | |
| 2939 | // connect up |
| 2940 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); |
| 2941 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 2942 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
| 2943 | armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 4 }, armnn::DataType::Float32); |
| 2944 | |
| 2945 | inputLayer->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(0)); |
| 2946 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2947 | |
| 2948 | outputStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(1)); |
| 2949 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 2950 | |
| 2951 | cellStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(2)); |
| 2952 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 2953 | |
| 2954 | lstmLayer->GetOutputSlot(0).Connect(scratchBuffer->GetInputSlot(0)); |
| 2955 | lstmLayer->GetOutputSlot(0).SetTensorInfo(lstmTensorInfoScratchBuff); |
| 2956 | |
| 2957 | lstmLayer->GetOutputSlot(1).Connect(outputStateOut->GetInputSlot(0)); |
| 2958 | lstmLayer->GetOutputSlot(1).SetTensorInfo(outputStateTensorInfo); |
| 2959 | |
| 2960 | lstmLayer->GetOutputSlot(2).Connect(cellStateOut->GetInputSlot(0)); |
| 2961 | lstmLayer->GetOutputSlot(2).SetTensorInfo(cellStateTensorInfo); |
| 2962 | |
| 2963 | lstmLayer->GetOutputSlot(3).Connect(outputLayer->GetInputSlot(0)); |
| 2964 | lstmLayer->GetOutputSlot(3).SetTensorInfo(outputStateTensorInfo); |
| 2965 | |
| 2966 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2967 | BOOST_CHECK(deserializedNetwork); |
| 2968 | |
| 2969 | VerifyLstmLayer checker( |
| 2970 | layerName, |
| 2971 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
| 2972 | {lstmTensorInfoScratchBuff, outputStateTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 2973 | descriptor, |
| 2974 | params); |
| 2975 | deserializedNetwork->Accept(checker); |
| 2976 | } |
| 2977 | |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 2978 | BOOST_AUTO_TEST_CASE(SerializeDeserializeLstmNoCifgWithPeepholeWithProjectionWithLayerNorm) |
| 2979 | { |
| 2980 | armnn::LstmDescriptor descriptor; |
| 2981 | descriptor.m_ActivationFunc = 4; |
| 2982 | descriptor.m_ClippingThresProj = 0.0f; |
| 2983 | descriptor.m_ClippingThresCell = 0.0f; |
| 2984 | descriptor.m_CifgEnabled = false; // if this is true then we DON'T need to set the OptCifgParams |
| 2985 | descriptor.m_ProjectionEnabled = true; |
| 2986 | descriptor.m_PeepholeEnabled = true; |
| 2987 | descriptor.m_LayerNormEnabled = true; |
| 2988 | |
| 2989 | const uint32_t batchSize = 2; |
| 2990 | const uint32_t inputSize = 5; |
| 2991 | const uint32_t numUnits = 20; |
| 2992 | const uint32_t outputSize = 16; |
| 2993 | |
| 2994 | armnn::TensorInfo tensorInfo20x5({numUnits, inputSize}, armnn::DataType::Float32); |
| 2995 | std::vector<float> inputToInputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2996 | armnn::ConstTensor inputToInputWeights(tensorInfo20x5, inputToInputWeightsData); |
| 2997 | |
| 2998 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2999 | armnn::ConstTensor inputToForgetWeights(tensorInfo20x5, inputToForgetWeightsData); |
| 3000 | |
| 3001 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 3002 | armnn::ConstTensor inputToCellWeights(tensorInfo20x5, inputToCellWeightsData); |
| 3003 | |
| 3004 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 3005 | armnn::ConstTensor inputToOutputWeights(tensorInfo20x5, inputToOutputWeightsData); |
| 3006 | |
| 3007 | armnn::TensorInfo tensorInfo20({numUnits}, armnn::DataType::Float32); |
| 3008 | std::vector<float> inputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3009 | armnn::ConstTensor inputGateBias(tensorInfo20, inputGateBiasData); |
| 3010 | |
| 3011 | std::vector<float> forgetGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3012 | armnn::ConstTensor forgetGateBias(tensorInfo20, forgetGateBiasData); |
| 3013 | |
| 3014 | std::vector<float> cellBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3015 | armnn::ConstTensor cellBias(tensorInfo20, cellBiasData); |
| 3016 | |
| 3017 | std::vector<float> outputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3018 | armnn::ConstTensor outputGateBias(tensorInfo20, outputGateBiasData); |
| 3019 | |
| 3020 | armnn::TensorInfo tensorInfo20x16({numUnits, outputSize}, armnn::DataType::Float32); |
| 3021 | std::vector<float> recurrentToInputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 3022 | armnn::ConstTensor recurrentToInputWeights(tensorInfo20x16, recurrentToInputWeightsData); |
| 3023 | |
| 3024 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 3025 | armnn::ConstTensor recurrentToForgetWeights(tensorInfo20x16, recurrentToForgetWeightsData); |
| 3026 | |
| 3027 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 3028 | armnn::ConstTensor recurrentToCellWeights(tensorInfo20x16, recurrentToCellWeightsData); |
| 3029 | |
| 3030 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 3031 | armnn::ConstTensor recurrentToOutputWeights(tensorInfo20x16, recurrentToOutputWeightsData); |
| 3032 | |
| 3033 | std::vector<float> cellToInputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3034 | armnn::ConstTensor cellToInputWeights(tensorInfo20, cellToInputWeightsData); |
| 3035 | |
| 3036 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3037 | armnn::ConstTensor cellToForgetWeights(tensorInfo20, cellToForgetWeightsData); |
| 3038 | |
| 3039 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3040 | armnn::ConstTensor cellToOutputWeights(tensorInfo20, cellToOutputWeightsData); |
| 3041 | |
| 3042 | armnn::TensorInfo tensorInfo16x20({outputSize, numUnits}, armnn::DataType::Float32); |
| 3043 | std::vector<float> projectionWeightsData = GenerateRandomData<float>(tensorInfo16x20.GetNumElements()); |
| 3044 | armnn::ConstTensor projectionWeights(tensorInfo16x20, projectionWeightsData); |
| 3045 | |
| 3046 | armnn::TensorInfo tensorInfo16({outputSize}, armnn::DataType::Float32); |
| 3047 | std::vector<float> projectionBiasData(outputSize, 0.f); |
| 3048 | armnn::ConstTensor projectionBias(tensorInfo16, projectionBiasData); |
| 3049 | |
| 3050 | std::vector<float> inputLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3051 | armnn::ConstTensor inputLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 3052 | |
| 3053 | std::vector<float> forgetLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3054 | armnn::ConstTensor forgetLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 3055 | |
| 3056 | std::vector<float> cellLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3057 | armnn::ConstTensor cellLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 3058 | |
| 3059 | std::vector<float> outLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 3060 | armnn::ConstTensor outLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 3061 | |
| 3062 | armnn::LstmInputParams params; |
| 3063 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 3064 | params.m_InputToCellWeights = &inputToCellWeights; |
| 3065 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 3066 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 3067 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 3068 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 3069 | params.m_ForgetGateBias = &forgetGateBias; |
| 3070 | params.m_CellBias = &cellBias; |
| 3071 | params.m_OutputGateBias = &outputGateBias; |
| 3072 | |
| 3073 | // additional params because: descriptor.m_CifgEnabled = false |
| 3074 | params.m_InputToInputWeights = &inputToInputWeights; |
| 3075 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 3076 | params.m_CellToInputWeights = &cellToInputWeights; |
| 3077 | params.m_InputGateBias = &inputGateBias; |
| 3078 | |
| 3079 | // additional params because: descriptor.m_ProjectionEnabled = true |
| 3080 | params.m_ProjectionWeights = &projectionWeights; |
| 3081 | params.m_ProjectionBias = &projectionBias; |
| 3082 | |
| 3083 | // additional params because: descriptor.m_PeepholeEnabled = true |
| 3084 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 3085 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 3086 | |
| 3087 | // additional params because: despriptor.m_LayerNormEnabled = true |
| 3088 | params.m_InputLayerNormWeights = &inputLayerNormWeights; |
| 3089 | params.m_ForgetLayerNormWeights = &forgetLayerNormWeights; |
| 3090 | params.m_CellLayerNormWeights = &cellLayerNormWeights; |
| 3091 | params.m_OutputLayerNormWeights = &outLayerNormWeights; |
| 3092 | |
| 3093 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 3094 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 3095 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 3096 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 3097 | const std::string layerName("lstm"); |
| 3098 | armnn::IConnectableLayer* const lstmLayer = network->AddLstmLayer(descriptor, params, layerName.c_str()); |
| 3099 | armnn::IConnectableLayer* const scratchBuffer = network->AddOutputLayer(0); |
| 3100 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(1); |
| 3101 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(2); |
| 3102 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(3); |
| 3103 | |
| 3104 | // connect up |
| 3105 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); |
| 3106 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 3107 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
| 3108 | armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 4 }, armnn::DataType::Float32); |
| 3109 | |
| 3110 | inputLayer->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(0)); |
| 3111 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 3112 | |
| 3113 | outputStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(1)); |
| 3114 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 3115 | |
| 3116 | cellStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(2)); |
| 3117 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 3118 | |
| 3119 | lstmLayer->GetOutputSlot(0).Connect(scratchBuffer->GetInputSlot(0)); |
| 3120 | lstmLayer->GetOutputSlot(0).SetTensorInfo(lstmTensorInfoScratchBuff); |
| 3121 | |
| 3122 | lstmLayer->GetOutputSlot(1).Connect(outputStateOut->GetInputSlot(0)); |
| 3123 | lstmLayer->GetOutputSlot(1).SetTensorInfo(outputStateTensorInfo); |
| 3124 | |
| 3125 | lstmLayer->GetOutputSlot(2).Connect(cellStateOut->GetInputSlot(0)); |
| 3126 | lstmLayer->GetOutputSlot(2).SetTensorInfo(cellStateTensorInfo); |
| 3127 | |
| 3128 | lstmLayer->GetOutputSlot(3).Connect(outputLayer->GetInputSlot(0)); |
| 3129 | lstmLayer->GetOutputSlot(3).SetTensorInfo(outputStateTensorInfo); |
| 3130 | |
| 3131 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 3132 | BOOST_CHECK(deserializedNetwork); |
| 3133 | |
| 3134 | VerifyLstmLayer checker( |
| 3135 | layerName, |
| 3136 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
| 3137 | {lstmTensorInfoScratchBuff, outputStateTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 3138 | descriptor, |
| 3139 | params); |
| 3140 | deserializedNetwork->Accept(checker); |
| 3141 | } |
| 3142 | |
| 3143 | BOOST_AUTO_TEST_CASE(EnsureLstmLayersBackwardCompatibility) |
| 3144 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3145 | // The hex data below is a flat buffer containing a lstm layer with no Cifg, with peephole and projection |
| 3146 | // enabled. That data was obtained before additional layer normalization parameters where added to the |
| 3147 | // lstm serializer. That way it can be tested if a lstm model with the old parameter configuration can |
| 3148 | // still be loaded |
| 3149 | const std::vector<uint8_t> lstmNoCifgWithPeepholeAndProjectionModel = |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3150 | { |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3151 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 3152 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x2C, 0x00, 0x00, 0x00, 0x38, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 3153 | 0xDC, 0x29, 0x00, 0x00, 0x38, 0x29, 0x00, 0x00, 0xB4, 0x28, 0x00, 0x00, 0x94, 0x01, 0x00, 0x00, 0x3C, 0x01, |
| 3154 | 0x00, 0x00, 0xE0, 0x00, 0x00, 0x00, 0x84, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 3155 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 3156 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x70, 0xD6, 0xFF, 0xFF, |
| 3157 | 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x06, 0xD7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x88, 0xD7, |
| 3158 | 0xFF, 0xFF, 0x08, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0xF6, 0xD6, 0xFF, 0xFF, 0x07, 0x00, 0x00, 0x00, |
| 3159 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3160 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3161 | 0xE8, 0xD7, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0xC8, 0xD6, 0xFF, 0xFF, 0x00, 0x00, |
| 3162 | 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x5E, 0xD7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0xE0, 0xD7, 0xFF, 0xFF, |
| 3163 | 0x08, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x4E, 0xD7, 0xFF, 0xFF, 0x06, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 3164 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3165 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x40, 0xD8, |
| 3166 | 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x20, 0xD7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 3167 | 0x04, 0x00, 0x00, 0x00, 0xB6, 0xD7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x38, 0xD8, 0xFF, 0xFF, 0x08, 0x00, |
| 3168 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0xA6, 0xD7, 0xFF, 0xFF, 0x05, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 3169 | 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3170 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x98, 0xD8, 0xFF, 0xFF, |
| 3171 | 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x78, 0xD7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, |
| 3172 | 0x00, 0x00, 0x0E, 0xD8, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x16, 0xD8, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, |
| 3173 | 0xFA, 0xD7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 3174 | 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 3175 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xEC, 0xD8, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3176 | 0x00, 0x00, 0x6C, 0xD8, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x23, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, |
| 3177 | 0x12, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0xE0, 0x25, 0x00, 0x00, 0xD0, 0x25, |
| 3178 | 0x00, 0x00, 0x2C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x26, 0x00, 0x48, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, |
| 3179 | 0x10, 0x00, 0x14, 0x00, 0x18, 0x00, 0x1C, 0x00, 0x20, 0x00, 0x24, 0x00, 0x28, 0x00, 0x2C, 0x00, 0x30, 0x00, |
| 3180 | 0x34, 0x00, 0x38, 0x00, 0x3C, 0x00, 0x40, 0x00, 0x44, 0x00, 0x26, 0x00, 0x00, 0x00, 0xC4, 0x23, 0x00, 0x00, |
| 3181 | 0xF8, 0x21, 0x00, 0x00, 0x2C, 0x20, 0x00, 0x00, 0xF0, 0x1A, 0x00, 0x00, 0xB4, 0x15, 0x00, 0x00, 0x78, 0x10, |
| 3182 | 0x00, 0x00, 0xF0, 0x0F, 0x00, 0x00, 0x68, 0x0F, 0x00, 0x00, 0xE0, 0x0E, 0x00, 0x00, 0x14, 0x0D, 0x00, 0x00, |
| 3183 | 0xD8, 0x07, 0x00, 0x00, 0x50, 0x07, 0x00, 0x00, 0xC8, 0x06, 0x00, 0x00, 0x8C, 0x01, 0x00, 0x00, 0x14, 0x01, |
| 3184 | 0x00, 0x00, 0x8C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xEE, 0xD7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, |
| 3185 | 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xFE, 0xD8, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 3186 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3187 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3188 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3189 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3190 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x5A, 0xD8, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, |
| 3191 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x72, 0xD8, |
| 3192 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x82, 0xD9, 0xFF, 0xFF, |
| 3193 | 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3194 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3195 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3196 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3197 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xDE, 0xD8, |
| 3198 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 3199 | 0x14, 0x00, 0x00, 0x00, 0xF6, 0xD8, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x54, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 3200 | 0x00, 0x00, 0x06, 0xDA, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3201 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3202 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3203 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3204 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x52, 0xD9, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 3205 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x6A, 0xD9, 0xFF, 0xFF, 0x00, 0x00, |
| 3206 | 0x00, 0x03, 0x14, 0x05, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x7A, 0xDA, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, |
| 3207 | 0x40, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3208 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3209 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3210 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3211 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3212 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3213 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3214 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3215 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3216 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3217 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3218 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3219 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3220 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3221 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3222 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3223 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3224 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3225 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3226 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3227 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3228 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3229 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3230 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3231 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3232 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3233 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3234 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3235 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3236 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3237 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3238 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3239 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3240 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3241 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3242 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3243 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3244 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3245 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3246 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3247 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3248 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3249 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3250 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3251 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3252 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3253 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3254 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3255 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3256 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3257 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3258 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3259 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3260 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3261 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3262 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3263 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3264 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3265 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3266 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3267 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3268 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3269 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3270 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3271 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3272 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3273 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3274 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3275 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3276 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3277 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3278 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x86, 0xDE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 3279 | 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0xA2, 0xDE, |
| 3280 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xB2, 0xDF, 0xFF, 0xFF, |
| 3281 | 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3282 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3283 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3284 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3285 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0xDF, |
| 3286 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 3287 | 0x14, 0x00, 0x00, 0x00, 0x26, 0xDF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 3288 | 0x00, 0x00, 0x36, 0xE0, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3289 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3290 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3291 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3292 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3293 | 0x00, 0x00, 0x00, 0x00, 0x92, 0xDF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3294 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0xAA, 0xDF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, |
| 3295 | 0x14, 0x05, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xBA, 0xE0, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x40, 0x01, |
| 3296 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3297 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3298 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3299 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3300 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3301 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3302 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3303 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3304 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3305 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3306 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3307 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3308 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3309 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3310 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3311 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3312 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3313 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3314 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3315 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3316 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3317 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3318 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3319 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3320 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3321 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3322 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3323 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3324 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3325 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3326 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3327 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3328 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3329 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3330 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3331 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3332 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3333 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3334 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3335 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3336 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3337 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3338 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3339 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3340 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3341 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3342 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3343 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3344 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3345 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3346 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3347 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3348 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3349 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3350 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3351 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3352 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3353 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3354 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3355 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3356 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3357 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3358 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3359 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3360 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3361 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3362 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3363 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3364 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3365 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3366 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3367 | 0x00, 0x00, 0x00, 0x00, 0xC6, 0xE4, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3368 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0xE2, 0xE4, 0xFF, 0xFF, |
| 3369 | 0x00, 0x00, 0x00, 0x03, 0xA4, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xF2, 0xE5, 0xFF, 0xFF, 0x04, 0x00, |
| 3370 | 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3371 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3372 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3373 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3374 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3375 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3376 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3377 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3378 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3379 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3380 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3381 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3382 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3383 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3384 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3385 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3386 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3387 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3388 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3389 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3390 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3391 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3392 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x8E, 0xE6, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, |
| 3393 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 3394 | 0x00, 0x00, 0xAA, 0xE6, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 3395 | 0xBA, 0xE7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3396 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3397 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3398 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3399 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3400 | 0x00, 0x00, 0x16, 0xE7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3401 | 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x2E, 0xE7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, |
| 3402 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x3E, 0xE8, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 3403 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3404 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3405 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3406 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3407 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x9A, 0xE7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, |
| 3408 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0xB2, 0xE7, 0xFF, 0xFF, |
| 3409 | 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xC2, 0xE8, 0xFF, 0xFF, 0x04, 0x00, |
| 3410 | 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3411 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3412 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3413 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3414 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x1E, 0xE8, 0xFF, 0xFF, |
| 3415 | 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 3416 | 0x00, 0x00, 0x36, 0xE8, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x14, 0x05, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 3417 | 0x46, 0xE9, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3418 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3419 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3420 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3421 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3422 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3423 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3424 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3425 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3426 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3427 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3428 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3429 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3430 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3431 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3432 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3433 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3434 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3435 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3436 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3437 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3438 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3439 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3440 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3441 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3442 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3443 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3444 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3445 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3446 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3447 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3448 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3449 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3450 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3451 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3452 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3453 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3454 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3455 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3456 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3457 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3458 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3459 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3460 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3461 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3462 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3463 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3464 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3465 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3466 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3467 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3468 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3469 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3470 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3471 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3472 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3473 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3474 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3475 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3476 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3477 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3478 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3479 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3480 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3481 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3482 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3483 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3484 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3485 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3486 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3487 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3488 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x52, 0xED, 0xFF, 0xFF, |
| 3489 | 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 3490 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x6E, 0xED, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x14, 0x05, 0x00, 0x00, |
| 3491 | 0x04, 0x00, 0x00, 0x00, 0x7E, 0xEE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x00, 0x00, |
| 3492 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3493 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3494 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3495 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3496 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3497 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3498 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3499 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3500 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3501 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3502 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3503 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3504 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3505 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3506 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3507 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3508 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3509 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
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| 3541 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3542 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3543 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3544 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3545 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3546 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3547 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3548 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3549 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3550 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3551 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3552 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3553 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3554 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3555 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3556 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3557 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3558 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3559 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3560 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3561 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3562 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3563 | 0x8A, 0xF2, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 3564 | 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0xA6, 0xF2, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, |
| 3565 | 0x14, 0x05, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xB6, 0xF3, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x40, 0x01, |
| 3566 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3567 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3568 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3569 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3570 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3571 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3572 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3573 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3574 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3575 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3576 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3577 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3578 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3579 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3580 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3581 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3582 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3583 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3584 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3585 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3586 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3587 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3588 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3589 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3590 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3591 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3592 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3593 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3594 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3595 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3596 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3597 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3598 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3599 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3600 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3601 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3602 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3603 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3604 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3605 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3606 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3607 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3608 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3609 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3610 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3611 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3612 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3613 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3614 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3615 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3616 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3617 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3618 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3619 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3620 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3621 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3622 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3623 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3624 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3625 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3626 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3627 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3628 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3629 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3630 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3631 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3632 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3633 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3634 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3635 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3636 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3637 | 0x00, 0x00, 0x00, 0x00, 0xC2, 0xF7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3638 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0xDE, 0xF7, 0xFF, 0xFF, |
| 3639 | 0x00, 0x00, 0x00, 0x03, 0xA4, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xEE, 0xF8, 0xFF, 0xFF, 0x04, 0x00, |
| 3640 | 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3641 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3642 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3643 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3644 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3645 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3646 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3647 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3648 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3649 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3650 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3651 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3652 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3653 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3654 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3655 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3656 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3657 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3658 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3659 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3660 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3661 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3662 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x8A, 0xF9, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, |
| 3663 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 3664 | 0x00, 0x00, 0xA6, 0xF9, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0xA4, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 3665 | 0xB6, 0xFA, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3666 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3667 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3668 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3669 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3670 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3671 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3672 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3673 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3674 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3675 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3676 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3677 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3678 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3679 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3680 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3681 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3682 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3683 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3684 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3685 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3686 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3687 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x52, 0xFB, |
| 3688 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 3689 | 0x14, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x6E, 0xFB, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0xA4, 0x01, |
| 3690 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x7E, 0xFC, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, |
| 3691 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3692 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3693 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3694 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3695 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3696 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3697 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3698 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3699 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3700 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3701 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3702 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3703 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3704 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3705 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3706 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3707 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3708 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3709 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3710 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3711 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3712 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3713 | 0x00, 0x00, 0x00, 0x00, 0x1A, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3714 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0C, 0x00, |
| 3715 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x06, 0x00, 0x07, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3716 | 0x01, 0x01, 0x04, 0x00, 0x00, 0x00, 0x2E, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 3717 | 0x22, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6C, 0x73, |
| 3718 | 0x74, 0x6D, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0xEC, 0x00, 0x00, 0x00, 0xD0, 0x00, 0x00, 0x00, |
| 3719 | 0xB4, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x88, 0x00, 0x00, 0x00, 0x5C, 0x00, 0x00, 0x00, 0x30, 0x00, |
| 3720 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x14, 0xFF, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 3721 | 0xA6, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 3722 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x3C, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 3723 | 0x04, 0x00, 0x00, 0x00, 0xCE, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3724 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x64, 0xFF, 0xFF, 0xFF, |
| 3725 | 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, |
| 3726 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 3727 | 0xB4, 0xFE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x1A, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, |
| 3728 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x50, 0x00, 0x00, 0x00, |
| 3729 | 0xF0, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 3730 | 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 3731 | 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3732 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xE8, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, |
| 3733 | 0x7E, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, |
| 3734 | 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x76, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 3735 | 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3736 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 3737 | 0x68, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0xCE, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, |
| 3738 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 3739 | 0x08, 0x00, 0x0E, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, |
| 3740 | 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 3741 | 0x08, 0x00, 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 3742 | 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, |
| 3743 | 0x0E, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 3744 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3745 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 3746 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6E, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 3747 | 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 3748 | 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, |
| 3749 | 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, |
| 3750 | 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 3751 | 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 3752 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 3753 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 3754 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, |
| 3755 | 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 3756 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x00 |
| 3757 | }; |
| 3758 | |
| 3759 | armnn::INetworkPtr deserializedNetwork = |
| 3760 | DeserializeNetwork(std::string(lstmNoCifgWithPeepholeAndProjectionModel.begin(), |
| 3761 | lstmNoCifgWithPeepholeAndProjectionModel.end())); |
| 3762 | |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3763 | BOOST_CHECK(deserializedNetwork); |
| 3764 | |
| 3765 | // generating the same model parameters which where used to serialize the model (Layer norm is not specified) |
| 3766 | armnn::LstmDescriptor descriptor; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3767 | descriptor.m_ActivationFunc = 4; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3768 | descriptor.m_ClippingThresProj = 0.0f; |
| 3769 | descriptor.m_ClippingThresCell = 0.0f; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3770 | descriptor.m_CifgEnabled = false; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3771 | descriptor.m_ProjectionEnabled = true; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3772 | descriptor.m_PeepholeEnabled = true; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3773 | |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3774 | const uint32_t batchSize = 2u; |
| 3775 | const uint32_t inputSize = 5u; |
| 3776 | const uint32_t numUnits = 20u; |
| 3777 | const uint32_t outputSize = 16u; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3778 | |
| 3779 | armnn::TensorInfo tensorInfo20x5({numUnits, inputSize}, armnn::DataType::Float32); |
| 3780 | std::vector<float> inputToInputWeightsData(tensorInfo20x5.GetNumElements(), 0.0f); |
| 3781 | armnn::ConstTensor inputToInputWeights(tensorInfo20x5, inputToInputWeightsData); |
| 3782 | |
| 3783 | std::vector<float> inputToForgetWeightsData(tensorInfo20x5.GetNumElements(), 0.0f); |
| 3784 | armnn::ConstTensor inputToForgetWeights(tensorInfo20x5, inputToForgetWeightsData); |
| 3785 | |
| 3786 | std::vector<float> inputToCellWeightsData(tensorInfo20x5.GetNumElements(), 0.0f); |
| 3787 | armnn::ConstTensor inputToCellWeights(tensorInfo20x5, inputToCellWeightsData); |
| 3788 | |
| 3789 | std::vector<float> inputToOutputWeightsData(tensorInfo20x5.GetNumElements(), 0.0f); |
| 3790 | armnn::ConstTensor inputToOutputWeights(tensorInfo20x5, inputToOutputWeightsData); |
| 3791 | |
| 3792 | armnn::TensorInfo tensorInfo20({numUnits}, armnn::DataType::Float32); |
| 3793 | std::vector<float> inputGateBiasData(tensorInfo20.GetNumElements(), 0.0f); |
| 3794 | armnn::ConstTensor inputGateBias(tensorInfo20, inputGateBiasData); |
| 3795 | |
| 3796 | std::vector<float> forgetGateBiasData(tensorInfo20.GetNumElements(), 0.0f); |
| 3797 | armnn::ConstTensor forgetGateBias(tensorInfo20, forgetGateBiasData); |
| 3798 | |
| 3799 | std::vector<float> cellBiasData(tensorInfo20.GetNumElements(), 0.0f); |
| 3800 | armnn::ConstTensor cellBias(tensorInfo20, cellBiasData); |
| 3801 | |
| 3802 | std::vector<float> outputGateBiasData(tensorInfo20.GetNumElements(), 0.0f); |
| 3803 | armnn::ConstTensor outputGateBias(tensorInfo20, outputGateBiasData); |
| 3804 | |
| 3805 | armnn::TensorInfo tensorInfo20x16({numUnits, outputSize}, armnn::DataType::Float32); |
| 3806 | std::vector<float> recurrentToInputWeightsData(tensorInfo20x16.GetNumElements(), 0.0f); |
| 3807 | armnn::ConstTensor recurrentToInputWeights(tensorInfo20x16, recurrentToInputWeightsData); |
| 3808 | |
| 3809 | std::vector<float> recurrentToForgetWeightsData(tensorInfo20x16.GetNumElements(), 0.0f); |
| 3810 | armnn::ConstTensor recurrentToForgetWeights(tensorInfo20x16, recurrentToForgetWeightsData); |
| 3811 | |
| 3812 | std::vector<float> recurrentToCellWeightsData(tensorInfo20x16.GetNumElements(), 0.0f); |
| 3813 | armnn::ConstTensor recurrentToCellWeights(tensorInfo20x16, recurrentToCellWeightsData); |
| 3814 | |
| 3815 | std::vector<float> recurrentToOutputWeightsData(tensorInfo20x16.GetNumElements(), 0.0f); |
| 3816 | armnn::ConstTensor recurrentToOutputWeights(tensorInfo20x16, recurrentToOutputWeightsData); |
| 3817 | |
| 3818 | std::vector<float> cellToInputWeightsData(tensorInfo20.GetNumElements(), 0.0f); |
| 3819 | armnn::ConstTensor cellToInputWeights(tensorInfo20, cellToInputWeightsData); |
| 3820 | |
| 3821 | std::vector<float> cellToForgetWeightsData(tensorInfo20.GetNumElements(), 0.0f); |
| 3822 | armnn::ConstTensor cellToForgetWeights(tensorInfo20, cellToForgetWeightsData); |
| 3823 | |
| 3824 | std::vector<float> cellToOutputWeightsData(tensorInfo20.GetNumElements(), 0.0f); |
| 3825 | armnn::ConstTensor cellToOutputWeights(tensorInfo20, cellToOutputWeightsData); |
| 3826 | |
| 3827 | armnn::TensorInfo tensorInfo16x20({outputSize, numUnits}, armnn::DataType::Float32); |
| 3828 | std::vector<float> projectionWeightsData(tensorInfo16x20.GetNumElements(), 0.0f); |
| 3829 | armnn::ConstTensor projectionWeights(tensorInfo16x20, projectionWeightsData); |
| 3830 | |
| 3831 | armnn::TensorInfo tensorInfo16({outputSize}, armnn::DataType::Float32); |
| 3832 | std::vector<float> projectionBiasData(outputSize, 0.0f); |
| 3833 | armnn::ConstTensor projectionBias(tensorInfo16, projectionBiasData); |
| 3834 | |
| 3835 | armnn::LstmInputParams params; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3836 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 3837 | params.m_InputToCellWeights = &inputToCellWeights; |
| 3838 | params.m_InputToOutputWeights = &inputToOutputWeights; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3839 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3840 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3841 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3842 | params.m_ForgetGateBias = &forgetGateBias; |
| 3843 | params.m_CellBias = &cellBias; |
| 3844 | params.m_OutputGateBias = &outputGateBias; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3845 | |
| 3846 | // additional params because: descriptor.m_CifgEnabled = false |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3847 | params.m_InputToInputWeights = &inputToInputWeights; |
| 3848 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 3849 | params.m_CellToInputWeights = &cellToInputWeights; |
| 3850 | params.m_InputGateBias = &inputGateBias; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3851 | |
| 3852 | // additional params because: descriptor.m_ProjectionEnabled = true |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3853 | params.m_ProjectionWeights = &projectionWeights; |
| 3854 | params.m_ProjectionBias = &projectionBias; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3855 | |
| 3856 | // additional params because: descriptor.m_PeepholeEnabled = true |
Aron Virginas-Tar | 6e0d962 | 2019-10-22 16:24:48 +0100 | [diff] [blame] | 3857 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 3858 | params.m_CellToOutputWeights = &cellToOutputWeights; |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3859 | |
| 3860 | const std::string layerName("lstm"); |
| 3861 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); |
| 3862 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 3863 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
| 3864 | armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 4 }, armnn::DataType::Float32); |
| 3865 | |
Jan Eilers | f8c6297 | 2019-07-17 11:07:49 +0100 | [diff] [blame] | 3866 | VerifyLstmLayer checker( |
| 3867 | layerName, |
| 3868 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
| 3869 | {lstmTensorInfoScratchBuff, outputStateTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 3870 | descriptor, |
| 3871 | params); |
| 3872 | deserializedNetwork->Accept(checker); |
| 3873 | } |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3874 | class VerifyQuantizedLstmLayer : public LayerVerifierBase |
| 3875 | { |
| 3876 | |
| 3877 | public: |
| 3878 | VerifyQuantizedLstmLayer(const std::string& layerName, |
| 3879 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 3880 | const std::vector<armnn::TensorInfo>& outputInfos, |
Aron Virginas-Tar | e80ebd1 | 2019-10-17 16:11:54 +0100 | [diff] [blame] | 3881 | const armnn::QuantizedLstmInputParams& inputParams) |
| 3882 | : LayerVerifierBase(layerName, inputInfos, outputInfos), m_InputParams(inputParams) {} |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3883 | |
| 3884 | void VisitQuantizedLstmLayer(const armnn::IConnectableLayer* layer, |
| 3885 | const armnn::QuantizedLstmInputParams& params, |
| 3886 | const char* name) |
| 3887 | { |
| 3888 | VerifyNameAndConnections(layer, name); |
| 3889 | VerifyInputParameters(params); |
| 3890 | } |
| 3891 | |
| 3892 | protected: |
| 3893 | void VerifyInputParameters(const armnn::QuantizedLstmInputParams& params) |
| 3894 | { |
| 3895 | VerifyConstTensors("m_InputToInputWeights", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3896 | m_InputParams.m_InputToInputWeights, params.m_InputToInputWeights); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3897 | VerifyConstTensors("m_InputToForgetWeights", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3898 | m_InputParams.m_InputToForgetWeights, params.m_InputToForgetWeights); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3899 | VerifyConstTensors("m_InputToCellWeights", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3900 | m_InputParams.m_InputToCellWeights, params.m_InputToCellWeights); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3901 | VerifyConstTensors("m_InputToOutputWeights", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3902 | m_InputParams.m_InputToOutputWeights, params.m_InputToOutputWeights); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3903 | VerifyConstTensors("m_RecurrentToInputWeights", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3904 | m_InputParams.m_RecurrentToInputWeights, params.m_RecurrentToInputWeights); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3905 | VerifyConstTensors("m_RecurrentToForgetWeights", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3906 | m_InputParams.m_RecurrentToForgetWeights, params.m_RecurrentToForgetWeights); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3907 | VerifyConstTensors("m_RecurrentToCellWeights", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3908 | m_InputParams.m_RecurrentToCellWeights, params.m_RecurrentToCellWeights); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3909 | VerifyConstTensors("m_RecurrentToOutputWeights", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3910 | m_InputParams.m_RecurrentToOutputWeights, params.m_RecurrentToOutputWeights); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3911 | VerifyConstTensors("m_InputGateBias", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3912 | m_InputParams.m_InputGateBias, params.m_InputGateBias); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3913 | VerifyConstTensors("m_ForgetGateBias", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3914 | m_InputParams.m_ForgetGateBias, params.m_ForgetGateBias); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3915 | VerifyConstTensors("m_CellBias", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3916 | m_InputParams.m_CellBias, params.m_CellBias); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3917 | VerifyConstTensors("m_OutputGateBias", |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3918 | m_InputParams.m_OutputGateBias, params.m_OutputGateBias); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3919 | } |
| 3920 | |
| 3921 | private: |
| 3922 | armnn::QuantizedLstmInputParams m_InputParams; |
| 3923 | }; |
| 3924 | |
| 3925 | BOOST_AUTO_TEST_CASE(SerializeDeserializeQuantizedLstm) |
| 3926 | { |
| 3927 | const uint32_t batchSize = 1; |
| 3928 | const uint32_t inputSize = 2; |
| 3929 | const uint32_t numUnits = 4; |
| 3930 | const uint32_t outputSize = numUnits; |
| 3931 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3932 | // Scale/Offset for input/output, cellState In/Out, weights, bias |
| 3933 | float inputOutputScale = 0.0078125f; |
| 3934 | int32_t inputOutputOffset = 128; |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3935 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3936 | float cellStateScale = 0.00048828125f; |
| 3937 | int32_t cellStateOffset = 0; |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3938 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3939 | float weightsScale = 0.00408021f; |
| 3940 | int32_t weightsOffset = 100; |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3941 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3942 | float biasScale = 3.1876640625e-05f; |
| 3943 | int32_t biasOffset = 0; |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3944 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3945 | // The shape of weight data is {outputSize, inputSize} = {4, 2} |
| 3946 | armnn::TensorShape inputToInputWeightsShape = {4, 2}; |
| 3947 | std::vector<uint8_t> inputToInputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8}; |
| 3948 | armnn::TensorInfo inputToInputWeightsInfo(inputToInputWeightsShape, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3949 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3950 | weightsScale, |
| 3951 | weightsOffset); |
| 3952 | armnn::ConstTensor inputToInputWeights(inputToInputWeightsInfo, inputToInputWeightsData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3953 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3954 | armnn::TensorShape inputToForgetWeightsShape = {4, 2}; |
| 3955 | std::vector<uint8_t> inputToForgetWeightsData = {1, 2, 3, 4, 5, 6, 7, 8}; |
| 3956 | armnn::TensorInfo inputToForgetWeightsInfo(inputToForgetWeightsShape, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3957 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3958 | weightsScale, |
| 3959 | weightsOffset); |
| 3960 | armnn::ConstTensor inputToForgetWeights(inputToForgetWeightsInfo, inputToForgetWeightsData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3961 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3962 | armnn::TensorShape inputToCellWeightsShape = {4, 2}; |
| 3963 | std::vector<uint8_t> inputToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8}; |
| 3964 | armnn::TensorInfo inputToCellWeightsInfo(inputToCellWeightsShape, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3965 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3966 | weightsScale, |
| 3967 | weightsOffset); |
| 3968 | armnn::ConstTensor inputToCellWeights(inputToCellWeightsInfo, inputToCellWeightsData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3969 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3970 | armnn::TensorShape inputToOutputWeightsShape = {4, 2}; |
| 3971 | std::vector<uint8_t> inputToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8}; |
| 3972 | armnn::TensorInfo inputToOutputWeightsInfo(inputToOutputWeightsShape, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3973 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3974 | weightsScale, |
| 3975 | weightsOffset); |
| 3976 | armnn::ConstTensor inputToOutputWeights(inputToOutputWeightsInfo, inputToOutputWeightsData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3977 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3978 | // The shape of recurrent weight data is {outputSize, outputSize} = {4, 4} |
| 3979 | armnn::TensorShape recurrentToInputWeightsShape = {4, 4}; |
| 3980 | std::vector<uint8_t> recurrentToInputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}; |
| 3981 | armnn::TensorInfo recurrentToInputWeightsInfo(recurrentToInputWeightsShape, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3982 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3983 | weightsScale, |
| 3984 | weightsOffset); |
| 3985 | armnn::ConstTensor recurrentToInputWeights(recurrentToInputWeightsInfo, recurrentToInputWeightsData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3986 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3987 | armnn::TensorShape recurrentToForgetWeightsShape = {4, 4}; |
| 3988 | std::vector<uint8_t> recurrentToForgetWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}; |
| 3989 | armnn::TensorInfo recurrentToForgetWeightsInfo(recurrentToForgetWeightsShape, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3990 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3991 | weightsScale, |
| 3992 | weightsOffset); |
| 3993 | armnn::ConstTensor recurrentToForgetWeights(recurrentToForgetWeightsInfo, recurrentToForgetWeightsData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 3994 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3995 | armnn::TensorShape recurrentToCellWeightsShape = {4, 4}; |
| 3996 | std::vector<uint8_t> recurrentToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}; |
| 3997 | armnn::TensorInfo recurrentToCellWeightsInfo(recurrentToCellWeightsShape, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3998 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 3999 | weightsScale, |
| 4000 | weightsOffset); |
| 4001 | armnn::ConstTensor recurrentToCellWeights(recurrentToCellWeightsInfo, recurrentToCellWeightsData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 4002 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4003 | armnn::TensorShape recurrentToOutputWeightsShape = {4, 4}; |
| 4004 | std::vector<uint8_t> recurrentToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}; |
| 4005 | armnn::TensorInfo recurrentToOutputWeightsInfo(recurrentToOutputWeightsShape, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 4006 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4007 | weightsScale, |
| 4008 | weightsOffset); |
| 4009 | armnn::ConstTensor recurrentToOutputWeights(recurrentToOutputWeightsInfo, recurrentToOutputWeightsData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 4010 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4011 | // The shape of bias data is {outputSize} = {4} |
| 4012 | armnn::TensorShape inputGateBiasShape = {4}; |
| 4013 | std::vector<int32_t> inputGateBiasData = {1, 2, 3, 4}; |
| 4014 | armnn::TensorInfo inputGateBiasInfo(inputGateBiasShape, |
| 4015 | armnn::DataType::Signed32, |
| 4016 | biasScale, |
| 4017 | biasOffset); |
| 4018 | armnn::ConstTensor inputGateBias(inputGateBiasInfo, inputGateBiasData); |
| 4019 | |
| 4020 | armnn::TensorShape forgetGateBiasShape = {4}; |
| 4021 | std::vector<int32_t> forgetGateBiasData = {1, 2, 3, 4}; |
| 4022 | armnn::TensorInfo forgetGateBiasInfo(forgetGateBiasShape, |
| 4023 | armnn::DataType::Signed32, |
| 4024 | biasScale, |
| 4025 | biasOffset); |
| 4026 | armnn::ConstTensor forgetGateBias(forgetGateBiasInfo, forgetGateBiasData); |
| 4027 | |
| 4028 | armnn::TensorShape cellBiasShape = {4}; |
| 4029 | std::vector<int32_t> cellBiasData = {1, 2, 3, 4}; |
| 4030 | armnn::TensorInfo cellBiasInfo(cellBiasShape, |
| 4031 | armnn::DataType::Signed32, |
| 4032 | biasScale, |
| 4033 | biasOffset); |
| 4034 | armnn::ConstTensor cellBias(cellBiasInfo, cellBiasData); |
| 4035 | |
| 4036 | armnn::TensorShape outputGateBiasShape = {4}; |
| 4037 | std::vector<int32_t> outputGateBiasData = {1, 2, 3, 4}; |
| 4038 | armnn::TensorInfo outputGateBiasInfo(outputGateBiasShape, |
| 4039 | armnn::DataType::Signed32, |
| 4040 | biasScale, |
| 4041 | biasOffset); |
| 4042 | armnn::ConstTensor outputGateBias(outputGateBiasInfo, outputGateBiasData); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 4043 | |
| 4044 | armnn::QuantizedLstmInputParams params; |
| 4045 | params.m_InputToInputWeights = &inputToInputWeights; |
| 4046 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 4047 | params.m_InputToCellWeights = &inputToCellWeights; |
| 4048 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 4049 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 4050 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 4051 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 4052 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 4053 | params.m_InputGateBias = &inputGateBias; |
| 4054 | params.m_ForgetGateBias = &forgetGateBias; |
| 4055 | params.m_CellBias = &cellBias; |
| 4056 | params.m_OutputGateBias = &outputGateBias; |
| 4057 | |
| 4058 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4059 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 4060 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 4061 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 4062 | const std::string layerName("QuantizedLstm"); |
| 4063 | armnn::IConnectableLayer* const quantizedLstmLayer = network->AddQuantizedLstmLayer(params, layerName.c_str()); |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4064 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(0); |
| 4065 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(1); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 4066 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4067 | // Connect up |
| 4068 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 4069 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4070 | inputOutputScale, |
| 4071 | inputOutputOffset); |
| 4072 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits }, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 4073 | armnn::DataType::QSymmS16, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4074 | cellStateScale, |
| 4075 | cellStateOffset); |
| 4076 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 4077 | armnn::DataType::QAsymmU8, |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4078 | inputOutputScale, |
| 4079 | inputOutputOffset); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 4080 | |
| 4081 | inputLayer->GetOutputSlot(0).Connect(quantizedLstmLayer->GetInputSlot(0)); |
| 4082 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 4083 | |
| 4084 | cellStateIn->GetOutputSlot(0).Connect(quantizedLstmLayer->GetInputSlot(1)); |
| 4085 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 4086 | |
| 4087 | outputStateIn->GetOutputSlot(0).Connect(quantizedLstmLayer->GetInputSlot(2)); |
| 4088 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 4089 | |
| 4090 | quantizedLstmLayer->GetOutputSlot(0).Connect(cellStateOut->GetInputSlot(0)); |
| 4091 | quantizedLstmLayer->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 4092 | |
| 4093 | quantizedLstmLayer->GetOutputSlot(1).Connect(outputLayer->GetInputSlot(0)); |
| 4094 | quantizedLstmLayer->GetOutputSlot(1).SetTensorInfo(outputStateTensorInfo); |
| 4095 | |
| 4096 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 4097 | BOOST_CHECK(deserializedNetwork); |
| 4098 | |
alanhsu5678 | 86324fc | 2019-10-25 23:44:16 +0800 | [diff] [blame] | 4099 | VerifyQuantizedLstmLayer checker(layerName, |
| 4100 | {inputTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 4101 | {cellStateTensorInfo, outputStateTensorInfo}, |
| 4102 | params); |
Jan Eilers | 5b01a89 | 2019-07-23 09:47:43 +0100 | [diff] [blame] | 4103 | |
| 4104 | deserializedNetwork->Accept(checker); |
| 4105 | } |
| 4106 | |
Nattapat Chaimanowong | 30b0020 | 2019-02-20 17:31:34 +0000 | [diff] [blame] | 4107 | BOOST_AUTO_TEST_SUITE_END() |