Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2021 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "../Serializer.hpp" |
| 7 | #include "SerializerTestUtils.hpp" |
| 8 | |
| 9 | #include <armnn/Descriptors.hpp> |
| 10 | #include <armnn/INetwork.hpp> |
| 11 | #include <armnn/IRuntime.hpp> |
| 12 | #include <armnnDeserializer/IDeserializer.hpp> |
| 13 | #include <armnn/utility/IgnoreUnused.hpp> |
| 14 | #include <armnn/LstmParams.hpp> |
| 15 | #include <armnn/QuantizedLstmParams.hpp> |
| 16 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 17 | #include <doctest/doctest.h> |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 18 | #include <fmt/format.h> |
| 19 | |
| 20 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 21 | TEST_SUITE("SerializerTests") |
| 22 | { |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 23 | template<typename Descriptor> |
| 24 | armnn::LstmInputParams ConstantVector2LstmInputParams(const std::vector<armnn::ConstTensor>& constants, |
| 25 | Descriptor& descriptor) |
| 26 | { |
| 27 | armnn::LstmInputParams lstmInputParams; |
| 28 | size_t i = 0; |
| 29 | |
| 30 | // Inserting basic paramters |
| 31 | lstmInputParams.m_InputToForgetWeights = &constants[i++]; |
| 32 | lstmInputParams.m_InputToCellWeights = &constants[i++]; |
| 33 | lstmInputParams.m_InputToOutputWeights = &constants[i++]; |
| 34 | lstmInputParams.m_RecurrentToForgetWeights = &constants[i++]; |
| 35 | lstmInputParams.m_RecurrentToCellWeights = &constants[i++]; |
| 36 | lstmInputParams.m_RecurrentToOutputWeights = &constants[i++]; |
| 37 | lstmInputParams.m_ForgetGateBias = &constants[i++]; |
| 38 | lstmInputParams.m_CellBias = &constants[i++]; |
| 39 | lstmInputParams.m_OutputGateBias = &constants[i++]; |
| 40 | if (!descriptor.m_CifgEnabled) |
| 41 | { |
| 42 | lstmInputParams.m_InputToInputWeights = &constants[i++]; |
| 43 | lstmInputParams.m_RecurrentToInputWeights = &constants[i++]; |
| 44 | lstmInputParams.m_InputGateBias = &constants[i++]; |
| 45 | } |
| 46 | |
| 47 | if (descriptor.m_PeepholeEnabled) |
| 48 | { |
| 49 | if (!descriptor.m_CifgEnabled) |
| 50 | { |
| 51 | lstmInputParams.m_CellToInputWeights = &constants[i++]; |
| 52 | } |
| 53 | lstmInputParams.m_CellToForgetWeights = &constants[i++]; |
| 54 | lstmInputParams.m_CellToOutputWeights = &constants[i++]; |
| 55 | } |
| 56 | |
| 57 | if (descriptor.m_ProjectionEnabled) |
| 58 | { |
| 59 | lstmInputParams.m_ProjectionWeights = &constants[i++]; |
| 60 | lstmInputParams.m_ProjectionBias = &constants[i++]; |
| 61 | } |
| 62 | |
| 63 | if (descriptor.m_LayerNormEnabled) |
| 64 | { |
| 65 | if (!descriptor.m_CifgEnabled) |
| 66 | { |
| 67 | lstmInputParams.m_InputLayerNormWeights = &constants[i++]; |
| 68 | } |
| 69 | lstmInputParams.m_ForgetLayerNormWeights = &constants[i++]; |
| 70 | lstmInputParams.m_CellLayerNormWeights = &constants[i++]; |
| 71 | lstmInputParams.m_OutputLayerNormWeights = &constants[i++]; |
| 72 | } |
| 73 | |
| 74 | return lstmInputParams; |
| 75 | } |
| 76 | |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 77 | // Works for Lstm, UnidirectionalSequenceLstm and QLstm (QuantizedLstm uses different parameters) |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 78 | template<typename Descriptor> |
| 79 | class VerifyLstmLayer : public LayerVerifierBaseWithDescriptor<Descriptor> |
| 80 | { |
| 81 | public: |
| 82 | VerifyLstmLayer(const std::string& layerName, |
| 83 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 84 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 85 | const Descriptor& descriptor, |
| 86 | const armnn::LstmInputParams& inputParams) |
| 87 | : LayerVerifierBaseWithDescriptor<Descriptor>(layerName, inputInfos, outputInfos, descriptor) |
| 88 | , m_InputParams(inputParams) {} |
| 89 | |
| 90 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 91 | const armnn::BaseDescriptor& descriptor, |
| 92 | const std::vector<armnn::ConstTensor>& constants, |
| 93 | const char* name, |
| 94 | const armnn::LayerBindingId id = 0) override |
| 95 | { |
| 96 | armnn::IgnoreUnused(constants, id); |
| 97 | switch (layer->GetType()) |
| 98 | { |
| 99 | case armnn::LayerType::Input: break; |
| 100 | case armnn::LayerType::Output: break; |
| 101 | case armnn::LayerType::Lstm: |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 102 | case armnn::LayerType::UnidirectionalSequenceLstm: |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 103 | { |
| 104 | this->VerifyNameAndConnections(layer, name); |
| 105 | const Descriptor& internalDescriptor = static_cast<const Descriptor&>(descriptor); |
| 106 | this->VerifyDescriptor(internalDescriptor); |
| 107 | armnn::LstmInputParams lstmParams = ConstantVector2LstmInputParams(constants, internalDescriptor); |
| 108 | VerifyInputParameters(lstmParams); |
| 109 | break; |
| 110 | } |
| 111 | case armnn::LayerType::QLstm: |
| 112 | { |
| 113 | this->VerifyNameAndConnections(layer, name); |
| 114 | const Descriptor& internalDescriptor = static_cast<const Descriptor&>(descriptor); |
| 115 | this->VerifyDescriptor(internalDescriptor); |
| 116 | armnn::LstmInputParams lstmParams = ConstantVector2LstmInputParams(constants, internalDescriptor); |
| 117 | VerifyInputParameters(lstmParams); |
| 118 | break; |
| 119 | } |
| 120 | default: |
| 121 | { |
| 122 | throw armnn::Exception("Unexpected layer type in Lstm test model"); |
| 123 | } |
| 124 | } |
| 125 | } |
| 126 | |
| 127 | protected: |
| 128 | void VerifyInputParameters(const armnn::LstmInputParams& params) |
| 129 | { |
| 130 | this->VerifyConstTensors( |
| 131 | "m_InputToInputWeights", m_InputParams.m_InputToInputWeights, params.m_InputToInputWeights); |
| 132 | this->VerifyConstTensors( |
| 133 | "m_InputToForgetWeights", m_InputParams.m_InputToForgetWeights, params.m_InputToForgetWeights); |
| 134 | this->VerifyConstTensors( |
| 135 | "m_InputToCellWeights", m_InputParams.m_InputToCellWeights, params.m_InputToCellWeights); |
| 136 | this->VerifyConstTensors( |
| 137 | "m_InputToOutputWeights", m_InputParams.m_InputToOutputWeights, params.m_InputToOutputWeights); |
| 138 | this->VerifyConstTensors( |
| 139 | "m_RecurrentToInputWeights", m_InputParams.m_RecurrentToInputWeights, params.m_RecurrentToInputWeights); |
| 140 | this->VerifyConstTensors( |
| 141 | "m_RecurrentToForgetWeights", m_InputParams.m_RecurrentToForgetWeights, params.m_RecurrentToForgetWeights); |
| 142 | this->VerifyConstTensors( |
| 143 | "m_RecurrentToCellWeights", m_InputParams.m_RecurrentToCellWeights, params.m_RecurrentToCellWeights); |
| 144 | this->VerifyConstTensors( |
| 145 | "m_RecurrentToOutputWeights", m_InputParams.m_RecurrentToOutputWeights, params.m_RecurrentToOutputWeights); |
| 146 | this->VerifyConstTensors( |
| 147 | "m_CellToInputWeights", m_InputParams.m_CellToInputWeights, params.m_CellToInputWeights); |
| 148 | this->VerifyConstTensors( |
| 149 | "m_CellToForgetWeights", m_InputParams.m_CellToForgetWeights, params.m_CellToForgetWeights); |
| 150 | this->VerifyConstTensors( |
| 151 | "m_CellToOutputWeights", m_InputParams.m_CellToOutputWeights, params.m_CellToOutputWeights); |
| 152 | this->VerifyConstTensors( |
| 153 | "m_InputGateBias", m_InputParams.m_InputGateBias, params.m_InputGateBias); |
| 154 | this->VerifyConstTensors( |
| 155 | "m_ForgetGateBias", m_InputParams.m_ForgetGateBias, params.m_ForgetGateBias); |
| 156 | this->VerifyConstTensors( |
| 157 | "m_CellBias", m_InputParams.m_CellBias, params.m_CellBias); |
| 158 | this->VerifyConstTensors( |
| 159 | "m_OutputGateBias", m_InputParams.m_OutputGateBias, params.m_OutputGateBias); |
| 160 | this->VerifyConstTensors( |
| 161 | "m_ProjectionWeights", m_InputParams.m_ProjectionWeights, params.m_ProjectionWeights); |
| 162 | this->VerifyConstTensors( |
| 163 | "m_ProjectionBias", m_InputParams.m_ProjectionBias, params.m_ProjectionBias); |
| 164 | this->VerifyConstTensors( |
| 165 | "m_InputLayerNormWeights", m_InputParams.m_InputLayerNormWeights, params.m_InputLayerNormWeights); |
| 166 | this->VerifyConstTensors( |
| 167 | "m_ForgetLayerNormWeights", m_InputParams.m_ForgetLayerNormWeights, params.m_ForgetLayerNormWeights); |
| 168 | this->VerifyConstTensors( |
| 169 | "m_CellLayerNormWeights", m_InputParams.m_CellLayerNormWeights, params.m_CellLayerNormWeights); |
| 170 | this->VerifyConstTensors( |
| 171 | "m_OutputLayerNormWeights", m_InputParams.m_OutputLayerNormWeights, params.m_OutputLayerNormWeights); |
| 172 | } |
| 173 | |
| 174 | private: |
| 175 | armnn::LstmInputParams m_InputParams; |
| 176 | }; |
| 177 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 178 | TEST_CASE("SerializeDeserializeLstmCifgPeepholeNoProjection") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 179 | { |
| 180 | armnn::LstmDescriptor descriptor; |
| 181 | descriptor.m_ActivationFunc = 4; |
| 182 | descriptor.m_ClippingThresProj = 0.0f; |
| 183 | descriptor.m_ClippingThresCell = 0.0f; |
| 184 | descriptor.m_CifgEnabled = true; // if this is true then we DON'T need to set the OptCifgParams |
| 185 | descriptor.m_ProjectionEnabled = false; |
| 186 | descriptor.m_PeepholeEnabled = true; |
| 187 | |
| 188 | const uint32_t batchSize = 1; |
| 189 | const uint32_t inputSize = 2; |
| 190 | const uint32_t numUnits = 4; |
| 191 | const uint32_t outputSize = numUnits; |
| 192 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 193 | armnn::TensorInfo inputWeightsInfo1({numUnits, inputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 194 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 195 | armnn::ConstTensor inputToForgetWeights(inputWeightsInfo1, inputToForgetWeightsData); |
| 196 | |
| 197 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 198 | armnn::ConstTensor inputToCellWeights(inputWeightsInfo1, inputToCellWeightsData); |
| 199 | |
| 200 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 201 | armnn::ConstTensor inputToOutputWeights(inputWeightsInfo1, inputToOutputWeightsData); |
| 202 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 203 | armnn::TensorInfo inputWeightsInfo2({numUnits, outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 204 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 205 | armnn::ConstTensor recurrentToForgetWeights(inputWeightsInfo2, recurrentToForgetWeightsData); |
| 206 | |
| 207 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 208 | armnn::ConstTensor recurrentToCellWeights(inputWeightsInfo2, recurrentToCellWeightsData); |
| 209 | |
| 210 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 211 | armnn::ConstTensor recurrentToOutputWeights(inputWeightsInfo2, recurrentToOutputWeightsData); |
| 212 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 213 | armnn::TensorInfo inputWeightsInfo3({numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 214 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo3.GetNumElements()); |
| 215 | armnn::ConstTensor cellToForgetWeights(inputWeightsInfo3, cellToForgetWeightsData); |
| 216 | |
| 217 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo3.GetNumElements()); |
| 218 | armnn::ConstTensor cellToOutputWeights(inputWeightsInfo3, cellToOutputWeightsData); |
| 219 | |
| 220 | std::vector<float> forgetGateBiasData(numUnits, 1.0f); |
| 221 | armnn::ConstTensor forgetGateBias(inputWeightsInfo3, forgetGateBiasData); |
| 222 | |
| 223 | std::vector<float> cellBiasData(numUnits, 0.0f); |
| 224 | armnn::ConstTensor cellBias(inputWeightsInfo3, cellBiasData); |
| 225 | |
| 226 | std::vector<float> outputGateBiasData(numUnits, 0.0f); |
| 227 | armnn::ConstTensor outputGateBias(inputWeightsInfo3, outputGateBiasData); |
| 228 | |
| 229 | armnn::LstmInputParams params; |
| 230 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 231 | params.m_InputToCellWeights = &inputToCellWeights; |
| 232 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 233 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 234 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 235 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 236 | params.m_ForgetGateBias = &forgetGateBias; |
| 237 | params.m_CellBias = &cellBias; |
| 238 | params.m_OutputGateBias = &outputGateBias; |
| 239 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 240 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 241 | |
| 242 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 243 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 244 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 245 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 246 | const std::string layerName("lstm"); |
| 247 | armnn::IConnectableLayer* const lstmLayer = network->AddLstmLayer(descriptor, params, layerName.c_str()); |
| 248 | armnn::IConnectableLayer* const scratchBuffer = network->AddOutputLayer(0); |
| 249 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(1); |
| 250 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(2); |
| 251 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(3); |
| 252 | |
| 253 | // connect up |
| 254 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); |
| 255 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 256 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
| 257 | armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 3 }, armnn::DataType::Float32); |
| 258 | |
| 259 | inputLayer->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(0)); |
| 260 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 261 | |
| 262 | outputStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(1)); |
| 263 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 264 | |
| 265 | cellStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(2)); |
| 266 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 267 | |
| 268 | lstmLayer->GetOutputSlot(0).Connect(scratchBuffer->GetInputSlot(0)); |
| 269 | lstmLayer->GetOutputSlot(0).SetTensorInfo(lstmTensorInfoScratchBuff); |
| 270 | |
| 271 | lstmLayer->GetOutputSlot(1).Connect(outputStateOut->GetInputSlot(0)); |
| 272 | lstmLayer->GetOutputSlot(1).SetTensorInfo(outputStateTensorInfo); |
| 273 | |
| 274 | lstmLayer->GetOutputSlot(2).Connect(cellStateOut->GetInputSlot(0)); |
| 275 | lstmLayer->GetOutputSlot(2).SetTensorInfo(cellStateTensorInfo); |
| 276 | |
| 277 | lstmLayer->GetOutputSlot(3).Connect(outputLayer->GetInputSlot(0)); |
| 278 | lstmLayer->GetOutputSlot(3).SetTensorInfo(outputStateTensorInfo); |
| 279 | |
| 280 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 281 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 282 | |
| 283 | VerifyLstmLayer<armnn::LstmDescriptor> checker( |
| 284 | layerName, |
| 285 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
| 286 | {lstmTensorInfoScratchBuff, outputStateTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 287 | descriptor, |
| 288 | params); |
| 289 | deserializedNetwork->ExecuteStrategy(checker); |
| 290 | } |
| 291 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 292 | TEST_CASE("SerializeDeserializeLstmNoCifgWithPeepholeAndProjection") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 293 | { |
| 294 | armnn::LstmDescriptor descriptor; |
| 295 | descriptor.m_ActivationFunc = 4; |
| 296 | descriptor.m_ClippingThresProj = 0.0f; |
| 297 | descriptor.m_ClippingThresCell = 0.0f; |
| 298 | descriptor.m_CifgEnabled = false; // if this is true then we DON'T need to set the OptCifgParams |
| 299 | descriptor.m_ProjectionEnabled = true; |
| 300 | descriptor.m_PeepholeEnabled = true; |
| 301 | |
| 302 | const uint32_t batchSize = 2; |
| 303 | const uint32_t inputSize = 5; |
| 304 | const uint32_t numUnits = 20; |
| 305 | const uint32_t outputSize = 16; |
| 306 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 307 | armnn::TensorInfo tensorInfo20x5({numUnits, inputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 308 | std::vector<float> inputToInputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 309 | armnn::ConstTensor inputToInputWeights(tensorInfo20x5, inputToInputWeightsData); |
| 310 | |
| 311 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 312 | armnn::ConstTensor inputToForgetWeights(tensorInfo20x5, inputToForgetWeightsData); |
| 313 | |
| 314 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 315 | armnn::ConstTensor inputToCellWeights(tensorInfo20x5, inputToCellWeightsData); |
| 316 | |
| 317 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 318 | armnn::ConstTensor inputToOutputWeights(tensorInfo20x5, inputToOutputWeightsData); |
| 319 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 320 | armnn::TensorInfo tensorInfo20({numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 321 | std::vector<float> inputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 322 | armnn::ConstTensor inputGateBias(tensorInfo20, inputGateBiasData); |
| 323 | |
| 324 | std::vector<float> forgetGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 325 | armnn::ConstTensor forgetGateBias(tensorInfo20, forgetGateBiasData); |
| 326 | |
| 327 | std::vector<float> cellBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 328 | armnn::ConstTensor cellBias(tensorInfo20, cellBiasData); |
| 329 | |
| 330 | std::vector<float> outputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 331 | armnn::ConstTensor outputGateBias(tensorInfo20, outputGateBiasData); |
| 332 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 333 | armnn::TensorInfo tensorInfo20x16({numUnits, outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 334 | std::vector<float> recurrentToInputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 335 | armnn::ConstTensor recurrentToInputWeights(tensorInfo20x16, recurrentToInputWeightsData); |
| 336 | |
| 337 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 338 | armnn::ConstTensor recurrentToForgetWeights(tensorInfo20x16, recurrentToForgetWeightsData); |
| 339 | |
| 340 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 341 | armnn::ConstTensor recurrentToCellWeights(tensorInfo20x16, recurrentToCellWeightsData); |
| 342 | |
| 343 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 344 | armnn::ConstTensor recurrentToOutputWeights(tensorInfo20x16, recurrentToOutputWeightsData); |
| 345 | |
| 346 | std::vector<float> cellToInputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 347 | armnn::ConstTensor cellToInputWeights(tensorInfo20, cellToInputWeightsData); |
| 348 | |
| 349 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 350 | armnn::ConstTensor cellToForgetWeights(tensorInfo20, cellToForgetWeightsData); |
| 351 | |
| 352 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 353 | armnn::ConstTensor cellToOutputWeights(tensorInfo20, cellToOutputWeightsData); |
| 354 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 355 | armnn::TensorInfo tensorInfo16x20({outputSize, numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 356 | std::vector<float> projectionWeightsData = GenerateRandomData<float>(tensorInfo16x20.GetNumElements()); |
| 357 | armnn::ConstTensor projectionWeights(tensorInfo16x20, projectionWeightsData); |
| 358 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 359 | armnn::TensorInfo tensorInfo16({outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 360 | std::vector<float> projectionBiasData(outputSize, 0.f); |
| 361 | armnn::ConstTensor projectionBias(tensorInfo16, projectionBiasData); |
| 362 | |
| 363 | armnn::LstmInputParams params; |
| 364 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 365 | params.m_InputToCellWeights = &inputToCellWeights; |
| 366 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 367 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 368 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 369 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 370 | params.m_ForgetGateBias = &forgetGateBias; |
| 371 | params.m_CellBias = &cellBias; |
| 372 | params.m_OutputGateBias = &outputGateBias; |
| 373 | |
| 374 | // additional params because: descriptor.m_CifgEnabled = false |
| 375 | params.m_InputToInputWeights = &inputToInputWeights; |
| 376 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 377 | params.m_CellToInputWeights = &cellToInputWeights; |
| 378 | params.m_InputGateBias = &inputGateBias; |
| 379 | |
| 380 | // additional params because: descriptor.m_ProjectionEnabled = true |
| 381 | params.m_ProjectionWeights = &projectionWeights; |
| 382 | params.m_ProjectionBias = &projectionBias; |
| 383 | |
| 384 | // additional params because: descriptor.m_PeepholeEnabled = true |
| 385 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 386 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 387 | |
| 388 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 389 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 390 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 391 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 392 | const std::string layerName("lstm"); |
| 393 | armnn::IConnectableLayer* const lstmLayer = network->AddLstmLayer(descriptor, params, layerName.c_str()); |
| 394 | armnn::IConnectableLayer* const scratchBuffer = network->AddOutputLayer(0); |
| 395 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(1); |
| 396 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(2); |
| 397 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(3); |
| 398 | |
| 399 | // connect up |
| 400 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); |
| 401 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 402 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
| 403 | armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 4 }, armnn::DataType::Float32); |
| 404 | |
| 405 | inputLayer->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(0)); |
| 406 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 407 | |
| 408 | outputStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(1)); |
| 409 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 410 | |
| 411 | cellStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(2)); |
| 412 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 413 | |
| 414 | lstmLayer->GetOutputSlot(0).Connect(scratchBuffer->GetInputSlot(0)); |
| 415 | lstmLayer->GetOutputSlot(0).SetTensorInfo(lstmTensorInfoScratchBuff); |
| 416 | |
| 417 | lstmLayer->GetOutputSlot(1).Connect(outputStateOut->GetInputSlot(0)); |
| 418 | lstmLayer->GetOutputSlot(1).SetTensorInfo(outputStateTensorInfo); |
| 419 | |
| 420 | lstmLayer->GetOutputSlot(2).Connect(cellStateOut->GetInputSlot(0)); |
| 421 | lstmLayer->GetOutputSlot(2).SetTensorInfo(cellStateTensorInfo); |
| 422 | |
| 423 | lstmLayer->GetOutputSlot(3).Connect(outputLayer->GetInputSlot(0)); |
| 424 | lstmLayer->GetOutputSlot(3).SetTensorInfo(outputStateTensorInfo); |
| 425 | |
| 426 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 427 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 428 | |
| 429 | VerifyLstmLayer<armnn::LstmDescriptor> checker( |
| 430 | layerName, |
| 431 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
| 432 | {lstmTensorInfoScratchBuff, outputStateTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 433 | descriptor, |
| 434 | params); |
| 435 | deserializedNetwork->ExecuteStrategy(checker); |
| 436 | } |
| 437 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 438 | TEST_CASE("SerializeDeserializeLstmNoCifgWithPeepholeWithProjectionWithLayerNorm") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 439 | { |
| 440 | armnn::LstmDescriptor descriptor; |
| 441 | descriptor.m_ActivationFunc = 4; |
| 442 | descriptor.m_ClippingThresProj = 0.0f; |
| 443 | descriptor.m_ClippingThresCell = 0.0f; |
| 444 | descriptor.m_CifgEnabled = false; // if this is true then we DON'T need to set the OptCifgParams |
| 445 | descriptor.m_ProjectionEnabled = true; |
| 446 | descriptor.m_PeepholeEnabled = true; |
| 447 | descriptor.m_LayerNormEnabled = true; |
| 448 | |
| 449 | const uint32_t batchSize = 2; |
| 450 | const uint32_t inputSize = 5; |
| 451 | const uint32_t numUnits = 20; |
| 452 | const uint32_t outputSize = 16; |
| 453 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 454 | armnn::TensorInfo tensorInfo20x5({numUnits, inputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 455 | std::vector<float> inputToInputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 456 | armnn::ConstTensor inputToInputWeights(tensorInfo20x5, inputToInputWeightsData); |
| 457 | |
| 458 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 459 | armnn::ConstTensor inputToForgetWeights(tensorInfo20x5, inputToForgetWeightsData); |
| 460 | |
| 461 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 462 | armnn::ConstTensor inputToCellWeights(tensorInfo20x5, inputToCellWeightsData); |
| 463 | |
| 464 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 465 | armnn::ConstTensor inputToOutputWeights(tensorInfo20x5, inputToOutputWeightsData); |
| 466 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 467 | armnn::TensorInfo tensorInfo20({numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 468 | std::vector<float> inputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 469 | armnn::ConstTensor inputGateBias(tensorInfo20, inputGateBiasData); |
| 470 | |
| 471 | std::vector<float> forgetGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 472 | armnn::ConstTensor forgetGateBias(tensorInfo20, forgetGateBiasData); |
| 473 | |
| 474 | std::vector<float> cellBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 475 | armnn::ConstTensor cellBias(tensorInfo20, cellBiasData); |
| 476 | |
| 477 | std::vector<float> outputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 478 | armnn::ConstTensor outputGateBias(tensorInfo20, outputGateBiasData); |
| 479 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 480 | armnn::TensorInfo tensorInfo20x16({numUnits, outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 481 | std::vector<float> recurrentToInputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 482 | armnn::ConstTensor recurrentToInputWeights(tensorInfo20x16, recurrentToInputWeightsData); |
| 483 | |
| 484 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 485 | armnn::ConstTensor recurrentToForgetWeights(tensorInfo20x16, recurrentToForgetWeightsData); |
| 486 | |
| 487 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 488 | armnn::ConstTensor recurrentToCellWeights(tensorInfo20x16, recurrentToCellWeightsData); |
| 489 | |
| 490 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 491 | armnn::ConstTensor recurrentToOutputWeights(tensorInfo20x16, recurrentToOutputWeightsData); |
| 492 | |
| 493 | std::vector<float> cellToInputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 494 | armnn::ConstTensor cellToInputWeights(tensorInfo20, cellToInputWeightsData); |
| 495 | |
| 496 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 497 | armnn::ConstTensor cellToForgetWeights(tensorInfo20, cellToForgetWeightsData); |
| 498 | |
| 499 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 500 | armnn::ConstTensor cellToOutputWeights(tensorInfo20, cellToOutputWeightsData); |
| 501 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 502 | armnn::TensorInfo tensorInfo16x20({outputSize, numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 503 | std::vector<float> projectionWeightsData = GenerateRandomData<float>(tensorInfo16x20.GetNumElements()); |
| 504 | armnn::ConstTensor projectionWeights(tensorInfo16x20, projectionWeightsData); |
| 505 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 506 | armnn::TensorInfo tensorInfo16({outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 507 | std::vector<float> projectionBiasData(outputSize, 0.f); |
| 508 | armnn::ConstTensor projectionBias(tensorInfo16, projectionBiasData); |
| 509 | |
| 510 | std::vector<float> inputLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 511 | armnn::ConstTensor inputLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 512 | |
| 513 | std::vector<float> forgetLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 514 | armnn::ConstTensor forgetLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 515 | |
| 516 | std::vector<float> cellLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 517 | armnn::ConstTensor cellLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 518 | |
| 519 | std::vector<float> outLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 520 | armnn::ConstTensor outLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 521 | |
| 522 | armnn::LstmInputParams params; |
| 523 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 524 | params.m_InputToCellWeights = &inputToCellWeights; |
| 525 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 526 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 527 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 528 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 529 | params.m_ForgetGateBias = &forgetGateBias; |
| 530 | params.m_CellBias = &cellBias; |
| 531 | params.m_OutputGateBias = &outputGateBias; |
| 532 | |
| 533 | // additional params because: descriptor.m_CifgEnabled = false |
| 534 | params.m_InputToInputWeights = &inputToInputWeights; |
| 535 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 536 | params.m_CellToInputWeights = &cellToInputWeights; |
| 537 | params.m_InputGateBias = &inputGateBias; |
| 538 | |
| 539 | // additional params because: descriptor.m_ProjectionEnabled = true |
| 540 | params.m_ProjectionWeights = &projectionWeights; |
| 541 | params.m_ProjectionBias = &projectionBias; |
| 542 | |
| 543 | // additional params because: descriptor.m_PeepholeEnabled = true |
| 544 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 545 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 546 | |
| 547 | // additional params because: despriptor.m_LayerNormEnabled = true |
| 548 | params.m_InputLayerNormWeights = &inputLayerNormWeights; |
| 549 | params.m_ForgetLayerNormWeights = &forgetLayerNormWeights; |
| 550 | params.m_CellLayerNormWeights = &cellLayerNormWeights; |
| 551 | params.m_OutputLayerNormWeights = &outLayerNormWeights; |
| 552 | |
| 553 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 554 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 555 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 556 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 557 | const std::string layerName("lstm"); |
| 558 | armnn::IConnectableLayer* const lstmLayer = network->AddLstmLayer(descriptor, params, layerName.c_str()); |
| 559 | armnn::IConnectableLayer* const scratchBuffer = network->AddOutputLayer(0); |
| 560 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(1); |
| 561 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(2); |
| 562 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(3); |
| 563 | |
| 564 | // connect up |
| 565 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); |
| 566 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 567 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
| 568 | armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 4 }, armnn::DataType::Float32); |
| 569 | |
| 570 | inputLayer->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(0)); |
| 571 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 572 | |
| 573 | outputStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(1)); |
| 574 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 575 | |
| 576 | cellStateIn->GetOutputSlot(0).Connect(lstmLayer->GetInputSlot(2)); |
| 577 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 578 | |
| 579 | lstmLayer->GetOutputSlot(0).Connect(scratchBuffer->GetInputSlot(0)); |
| 580 | lstmLayer->GetOutputSlot(0).SetTensorInfo(lstmTensorInfoScratchBuff); |
| 581 | |
| 582 | lstmLayer->GetOutputSlot(1).Connect(outputStateOut->GetInputSlot(0)); |
| 583 | lstmLayer->GetOutputSlot(1).SetTensorInfo(outputStateTensorInfo); |
| 584 | |
| 585 | lstmLayer->GetOutputSlot(2).Connect(cellStateOut->GetInputSlot(0)); |
| 586 | lstmLayer->GetOutputSlot(2).SetTensorInfo(cellStateTensorInfo); |
| 587 | |
| 588 | lstmLayer->GetOutputSlot(3).Connect(outputLayer->GetInputSlot(0)); |
| 589 | lstmLayer->GetOutputSlot(3).SetTensorInfo(outputStateTensorInfo); |
| 590 | |
| 591 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 592 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 593 | |
| 594 | VerifyLstmLayer<armnn::LstmDescriptor> checker( |
| 595 | layerName, |
| 596 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
| 597 | {lstmTensorInfoScratchBuff, outputStateTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 598 | descriptor, |
| 599 | params); |
| 600 | deserializedNetwork->ExecuteStrategy(checker); |
| 601 | } |
| 602 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 603 | TEST_CASE("EnsureLstmLayersBackwardCompatibility") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 604 | { |
| 605 | // The hex data below is a flat buffer containing a lstm layer with no Cifg, with peephole and projection |
| 606 | // enabled. That data was obtained before additional layer normalization parameters where added to the |
| 607 | // lstm serializer. That way it can be tested if a lstm model with the old parameter configuration can |
| 608 | // still be loaded |
| 609 | const std::vector<uint8_t> lstmNoCifgWithPeepholeAndProjectionModel = |
| 610 | { |
| 611 | 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, |
| 612 | 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x2C, 0x00, 0x00, 0x00, 0x38, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, |
| 613 | 0xDC, 0x29, 0x00, 0x00, 0x38, 0x29, 0x00, 0x00, 0xB4, 0x28, 0x00, 0x00, 0x94, 0x01, 0x00, 0x00, 0x3C, 0x01, |
| 614 | 0x00, 0x00, 0xE0, 0x00, 0x00, 0x00, 0x84, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, |
| 615 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 616 | 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x70, 0xD6, 0xFF, 0xFF, |
| 617 | 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x06, 0xD7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x88, 0xD7, |
| 618 | 0xFF, 0xFF, 0x08, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0xF6, 0xD6, 0xFF, 0xFF, 0x07, 0x00, 0x00, 0x00, |
| 619 | 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 620 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 621 | 0xE8, 0xD7, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0xC8, 0xD6, 0xFF, 0xFF, 0x00, 0x00, |
| 622 | 0x00, 0x0B, 0x04, 0x00, 0x00, 0x00, 0x5E, 0xD7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0xE0, 0xD7, 0xFF, 0xFF, |
| 623 | 0x08, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x4E, 0xD7, 0xFF, 0xFF, 0x06, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 624 | 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 625 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x40, 0xD8, |
| 626 | 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x20, 0xD7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, |
| 627 | 0x04, 0x00, 0x00, 0x00, 0xB6, 0xD7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x38, 0xD8, 0xFF, 0xFF, 0x08, 0x00, |
| 628 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0xA6, 0xD7, 0xFF, 0xFF, 0x05, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 629 | 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 630 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x98, 0xD8, 0xFF, 0xFF, |
| 631 | 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x78, 0xD7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x0B, 0x04, 0x00, |
| 632 | 0x00, 0x00, 0x0E, 0xD8, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x16, 0xD8, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, |
| 633 | 0xFA, 0xD7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 634 | 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 635 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xEC, 0xD8, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 636 | 0x00, 0x00, 0x6C, 0xD8, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x23, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, |
| 637 | 0x12, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x0A, 0x00, 0x00, 0x00, 0xE0, 0x25, 0x00, 0x00, 0xD0, 0x25, |
| 638 | 0x00, 0x00, 0x2C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x26, 0x00, 0x48, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, |
| 639 | 0x10, 0x00, 0x14, 0x00, 0x18, 0x00, 0x1C, 0x00, 0x20, 0x00, 0x24, 0x00, 0x28, 0x00, 0x2C, 0x00, 0x30, 0x00, |
| 640 | 0x34, 0x00, 0x38, 0x00, 0x3C, 0x00, 0x40, 0x00, 0x44, 0x00, 0x26, 0x00, 0x00, 0x00, 0xC4, 0x23, 0x00, 0x00, |
| 641 | 0xF8, 0x21, 0x00, 0x00, 0x2C, 0x20, 0x00, 0x00, 0xF0, 0x1A, 0x00, 0x00, 0xB4, 0x15, 0x00, 0x00, 0x78, 0x10, |
| 642 | 0x00, 0x00, 0xF0, 0x0F, 0x00, 0x00, 0x68, 0x0F, 0x00, 0x00, 0xE0, 0x0E, 0x00, 0x00, 0x14, 0x0D, 0x00, 0x00, |
| 643 | 0xD8, 0x07, 0x00, 0x00, 0x50, 0x07, 0x00, 0x00, 0xC8, 0x06, 0x00, 0x00, 0x8C, 0x01, 0x00, 0x00, 0x14, 0x01, |
| 644 | 0x00, 0x00, 0x8C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xEE, 0xD7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, |
| 645 | 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xFE, 0xD8, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 646 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 647 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 648 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 649 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 650 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x5A, 0xD8, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, |
| 651 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x72, 0xD8, |
| 652 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x82, 0xD9, 0xFF, 0xFF, |
| 653 | 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 654 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 655 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 656 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 657 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xDE, 0xD8, |
| 658 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 659 | 0x14, 0x00, 0x00, 0x00, 0xF6, 0xD8, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x54, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 660 | 0x00, 0x00, 0x06, 0xDA, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 661 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 662 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 663 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 664 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x52, 0xD9, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 665 | 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x6A, 0xD9, 0xFF, 0xFF, 0x00, 0x00, |
| 666 | 0x00, 0x03, 0x14, 0x05, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x7A, 0xDA, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, |
| 667 | 0x40, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 668 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 669 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 670 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 671 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 672 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 673 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 674 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 675 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 676 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 677 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 678 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 679 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 680 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 681 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 682 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 683 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 684 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 685 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 686 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 687 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 688 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 689 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 690 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 691 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 692 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 693 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 694 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 695 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 696 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 697 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 698 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 699 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 700 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 701 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 702 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 703 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 704 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 705 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 706 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 707 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 708 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 709 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 710 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 711 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 712 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 713 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 714 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 715 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 716 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 717 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 718 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 719 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 720 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 721 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 722 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 723 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 724 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 725 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 726 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 727 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 728 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 729 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 730 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 731 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 732 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 733 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 734 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 735 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 736 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 737 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 738 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x86, 0xDE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 739 | 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0xA2, 0xDE, |
| 740 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xB2, 0xDF, 0xFF, 0xFF, |
| 741 | 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 742 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 743 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 744 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 745 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0xDF, |
| 746 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, |
| 747 | 0x14, 0x00, 0x00, 0x00, 0x26, 0xDF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, |
| 748 | 0x00, 0x00, 0x36, 0xE0, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 749 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 750 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 751 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 752 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 753 | 0x00, 0x00, 0x00, 0x00, 0x92, 0xDF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 754 | 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0xAA, 0xDF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, |
| 755 | 0x14, 0x05, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xBA, 0xE0, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x40, 0x01, |
| 756 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 757 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 758 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 759 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 760 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 761 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 762 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 763 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 764 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 765 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 766 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 767 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 768 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 769 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 770 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 771 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 772 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 773 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 774 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 775 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 776 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 777 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 778 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 779 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 780 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 781 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 782 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 783 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 784 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 785 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 786 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 787 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 788 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 789 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 790 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 791 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 792 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 793 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 794 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 795 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 796 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 797 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 798 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 799 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 800 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 801 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 802 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 803 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 804 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 805 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 806 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 807 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 808 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 809 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 810 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 811 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 812 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 813 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 814 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 815 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 816 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 817 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 818 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 819 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 820 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 821 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 822 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 823 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 824 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 825 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 826 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 827 | 0x00, 0x00, 0x00, 0x00, 0xC6, 0xE4, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 828 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0xE2, 0xE4, 0xFF, 0xFF, |
| 829 | 0x00, 0x00, 0x00, 0x03, 0xA4, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xF2, 0xE5, 0xFF, 0xFF, 0x04, 0x00, |
| 830 | 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 831 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 832 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 833 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 834 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 835 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 836 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 837 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 838 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 839 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 840 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 841 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 842 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 843 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 844 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 845 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 846 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 847 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 848 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 849 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 850 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 851 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 852 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x8E, 0xE6, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, |
| 853 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 854 | 0x00, 0x00, 0xAA, 0xE6, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 855 | 0xBA, 0xE7, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 856 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 857 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 858 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 859 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 860 | 0x00, 0x00, 0x16, 0xE7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 861 | 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x2E, 0xE7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, |
| 862 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x3E, 0xE8, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, |
| 863 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 864 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 865 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 866 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 867 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x9A, 0xE7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, |
| 868 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0xB2, 0xE7, 0xFF, 0xFF, |
| 869 | 0x00, 0x00, 0x00, 0x03, 0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xC2, 0xE8, 0xFF, 0xFF, 0x04, 0x00, |
| 870 | 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 871 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 872 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 873 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 874 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x1E, 0xE8, 0xFF, 0xFF, |
| 875 | 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 876 | 0x00, 0x00, 0x36, 0xE8, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x14, 0x05, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 877 | 0x46, 0xE9, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 878 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 879 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 880 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 881 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 882 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 883 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 884 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 885 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 886 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 887 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 888 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 889 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 890 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 891 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 892 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 893 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 894 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 895 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 896 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 897 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 898 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 899 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 900 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 901 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 902 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 903 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 904 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 905 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 906 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 907 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 908 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 909 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 910 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 911 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 912 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 913 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 914 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 915 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 916 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 917 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 918 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 919 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 920 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 921 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 922 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 923 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 924 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 925 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 926 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 927 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 928 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 929 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 930 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 931 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 932 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 933 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 934 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 935 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 936 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 937 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 938 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 939 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 940 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 941 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 942 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 943 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 944 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 945 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 946 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 947 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 948 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x52, 0xED, 0xFF, 0xFF, |
| 949 | 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, |
| 950 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x6E, 0xED, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0x14, 0x05, 0x00, 0x00, |
| 951 | 0x04, 0x00, 0x00, 0x00, 0x7E, 0xEE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x40, 0x01, 0x00, 0x00, 0x00, 0x00, |
| 952 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 953 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 954 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 955 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 956 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 957 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 958 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 959 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 960 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 961 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 962 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 963 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 964 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 965 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 966 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 967 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 968 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 969 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 970 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 971 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 972 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 973 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 974 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 975 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 976 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 977 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 978 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 979 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 980 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 981 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 982 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 983 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 984 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 985 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 986 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 987 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 988 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 989 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 990 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 991 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 992 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 993 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 994 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 995 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 996 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 997 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 998 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 999 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1000 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1001 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1002 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1003 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1004 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1005 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1006 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1007 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1008 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1009 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1010 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1011 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1012 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1013 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1014 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1015 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1016 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1017 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1018 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1019 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1020 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1021 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1022 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1023 | 0x8A, 0xF2, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1024 | 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0xA6, 0xF2, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, |
| 1025 | 0x14, 0x05, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xB6, 0xF3, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x40, 0x01, |
| 1026 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1027 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1028 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1029 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1030 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1031 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1032 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1033 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1034 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1035 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1036 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1037 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1038 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1039 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1040 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1041 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1042 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1043 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1044 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1045 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1046 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1047 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1048 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1049 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1050 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1051 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1052 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1053 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1054 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1055 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1056 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1057 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1058 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1059 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1060 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1061 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1062 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1063 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1064 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1065 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1066 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1067 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1068 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1069 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1070 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1071 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1072 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1073 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1074 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1075 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1076 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1077 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1078 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1079 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1080 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1081 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1082 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1083 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1084 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1085 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1086 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1087 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1088 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1089 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1090 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1091 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1092 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1093 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1094 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1095 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1096 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1097 | 0x00, 0x00, 0x00, 0x00, 0xC2, 0xF7, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1098 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0xDE, 0xF7, 0xFF, 0xFF, |
| 1099 | 0x00, 0x00, 0x00, 0x03, 0xA4, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xEE, 0xF8, 0xFF, 0xFF, 0x04, 0x00, |
| 1100 | 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1101 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1102 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1103 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1104 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1105 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1106 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1107 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1108 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1109 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1110 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1111 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1112 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1113 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1114 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1115 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1116 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1117 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1118 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1119 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1120 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1121 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1122 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x8A, 0xF9, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, |
| 1123 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x05, 0x00, |
| 1124 | 0x00, 0x00, 0xA6, 0xF9, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0xA4, 0x01, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1125 | 0xB6, 0xFA, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1126 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1127 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1128 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1129 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1130 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1131 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1132 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1133 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1134 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1135 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1136 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1137 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1138 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1139 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1140 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1141 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1142 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1143 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1144 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1145 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1146 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1147 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x52, 0xFB, |
| 1148 | 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1149 | 0x14, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x6E, 0xFB, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x03, 0xA4, 0x01, |
| 1150 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x7E, 0xFC, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x64, 0x00, 0x00, 0x00, |
| 1151 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1152 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
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| 1171 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
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| 1173 | 0x00, 0x00, 0x00, 0x00, 0x1A, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1174 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x10, 0x00, 0x0C, 0x00, |
| 1175 | 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x05, 0x00, 0x06, 0x00, 0x07, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1176 | 0x01, 0x01, 0x04, 0x00, 0x00, 0x00, 0x2E, 0xFE, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 1177 | 0x22, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6C, 0x73, |
| 1178 | 0x74, 0x6D, 0x00, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0xEC, 0x00, 0x00, 0x00, 0xD0, 0x00, 0x00, 0x00, |
| 1179 | 0xB4, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x88, 0x00, 0x00, 0x00, 0x5C, 0x00, 0x00, 0x00, 0x30, 0x00, |
| 1180 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x14, 0xFF, 0xFF, 0xFF, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1181 | 0xA6, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1182 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x3C, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1183 | 0x04, 0x00, 0x00, 0x00, 0xCE, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1184 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x64, 0xFF, 0xFF, 0xFF, |
| 1185 | 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xF6, 0xFD, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, |
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| 1187 | 0xB4, 0xFE, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0x1A, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, |
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| 1189 | 0xF0, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1190 | 0x10, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, |
| 1191 | 0x00, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1192 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xE8, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, |
| 1193 | 0x7E, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, |
| 1194 | 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x76, 0xFF, 0xFF, 0xFF, 0x02, 0x00, 0x00, 0x00, |
| 1195 | 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1196 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, |
| 1197 | 0x68, 0xFF, 0xFF, 0xFF, 0x04, 0x00, 0x00, 0x00, 0xCE, 0xFE, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, |
| 1198 | 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, |
| 1199 | 0x08, 0x00, 0x0E, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x0C, 0x00, |
| 1200 | 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00, 0x06, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, |
| 1201 | 0x08, 0x00, 0x0E, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, 0x01, 0x00, |
| 1202 | 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x18, 0x00, 0x04, 0x00, 0x08, 0x00, 0x0C, 0x00, 0x10, 0x00, 0x14, 0x00, |
| 1203 | 0x0E, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1204 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1205 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1206 | 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x6E, 0xFF, 0xFF, 0xFF, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, |
| 1207 | 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x08, 0x00, |
| 1208 | 0x0C, 0x00, 0x07, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x09, 0x04, 0x00, 0x00, 0x00, |
| 1209 | 0xF6, 0xFF, 0xFF, 0xFF, 0x0C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x0A, 0x00, 0x04, 0x00, 0x06, 0x00, |
| 1210 | 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0E, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1211 | 0x0C, 0x00, 0x10, 0x00, 0x0E, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x10, 0x00, |
| 1212 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, |
| 1213 | 0x01, 0x00, 0x00, 0x00, 0x0C, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, |
| 1214 | 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x10, 0x00, 0x08, 0x00, 0x07, 0x00, 0x0C, 0x00, |
| 1215 | 0x0A, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, |
| 1216 | 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x00 |
| 1217 | }; |
| 1218 | |
| 1219 | armnn::INetworkPtr deserializedNetwork = |
| 1220 | DeserializeNetwork(std::string(lstmNoCifgWithPeepholeAndProjectionModel.begin(), |
| 1221 | lstmNoCifgWithPeepholeAndProjectionModel.end())); |
| 1222 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1223 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1224 | |
| 1225 | // generating the same model parameters which where used to serialize the model (Layer norm is not specified) |
| 1226 | armnn::LstmDescriptor descriptor; |
| 1227 | descriptor.m_ActivationFunc = 4; |
| 1228 | descriptor.m_ClippingThresProj = 0.0f; |
| 1229 | descriptor.m_ClippingThresCell = 0.0f; |
| 1230 | descriptor.m_CifgEnabled = false; |
| 1231 | descriptor.m_ProjectionEnabled = true; |
| 1232 | descriptor.m_PeepholeEnabled = true; |
| 1233 | |
| 1234 | const uint32_t batchSize = 2u; |
| 1235 | const uint32_t inputSize = 5u; |
| 1236 | const uint32_t numUnits = 20u; |
| 1237 | const uint32_t outputSize = 16u; |
| 1238 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1239 | armnn::TensorInfo tensorInfo20x5({numUnits, inputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1240 | std::vector<float> inputToInputWeightsData(tensorInfo20x5.GetNumElements(), 0.0f); |
| 1241 | armnn::ConstTensor inputToInputWeights(tensorInfo20x5, inputToInputWeightsData); |
| 1242 | |
| 1243 | std::vector<float> inputToForgetWeightsData(tensorInfo20x5.GetNumElements(), 0.0f); |
| 1244 | armnn::ConstTensor inputToForgetWeights(tensorInfo20x5, inputToForgetWeightsData); |
| 1245 | |
| 1246 | std::vector<float> inputToCellWeightsData(tensorInfo20x5.GetNumElements(), 0.0f); |
| 1247 | armnn::ConstTensor inputToCellWeights(tensorInfo20x5, inputToCellWeightsData); |
| 1248 | |
| 1249 | std::vector<float> inputToOutputWeightsData(tensorInfo20x5.GetNumElements(), 0.0f); |
| 1250 | armnn::ConstTensor inputToOutputWeights(tensorInfo20x5, inputToOutputWeightsData); |
| 1251 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1252 | armnn::TensorInfo tensorInfo20({numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1253 | std::vector<float> inputGateBiasData(tensorInfo20.GetNumElements(), 0.0f); |
| 1254 | armnn::ConstTensor inputGateBias(tensorInfo20, inputGateBiasData); |
| 1255 | |
| 1256 | std::vector<float> forgetGateBiasData(tensorInfo20.GetNumElements(), 0.0f); |
| 1257 | armnn::ConstTensor forgetGateBias(tensorInfo20, forgetGateBiasData); |
| 1258 | |
| 1259 | std::vector<float> cellBiasData(tensorInfo20.GetNumElements(), 0.0f); |
| 1260 | armnn::ConstTensor cellBias(tensorInfo20, cellBiasData); |
| 1261 | |
| 1262 | std::vector<float> outputGateBiasData(tensorInfo20.GetNumElements(), 0.0f); |
| 1263 | armnn::ConstTensor outputGateBias(tensorInfo20, outputGateBiasData); |
| 1264 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1265 | armnn::TensorInfo tensorInfo20x16({numUnits, outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1266 | std::vector<float> recurrentToInputWeightsData(tensorInfo20x16.GetNumElements(), 0.0f); |
| 1267 | armnn::ConstTensor recurrentToInputWeights(tensorInfo20x16, recurrentToInputWeightsData); |
| 1268 | |
| 1269 | std::vector<float> recurrentToForgetWeightsData(tensorInfo20x16.GetNumElements(), 0.0f); |
| 1270 | armnn::ConstTensor recurrentToForgetWeights(tensorInfo20x16, recurrentToForgetWeightsData); |
| 1271 | |
| 1272 | std::vector<float> recurrentToCellWeightsData(tensorInfo20x16.GetNumElements(), 0.0f); |
| 1273 | armnn::ConstTensor recurrentToCellWeights(tensorInfo20x16, recurrentToCellWeightsData); |
| 1274 | |
| 1275 | std::vector<float> recurrentToOutputWeightsData(tensorInfo20x16.GetNumElements(), 0.0f); |
| 1276 | armnn::ConstTensor recurrentToOutputWeights(tensorInfo20x16, recurrentToOutputWeightsData); |
| 1277 | |
| 1278 | std::vector<float> cellToInputWeightsData(tensorInfo20.GetNumElements(), 0.0f); |
| 1279 | armnn::ConstTensor cellToInputWeights(tensorInfo20, cellToInputWeightsData); |
| 1280 | |
| 1281 | std::vector<float> cellToForgetWeightsData(tensorInfo20.GetNumElements(), 0.0f); |
| 1282 | armnn::ConstTensor cellToForgetWeights(tensorInfo20, cellToForgetWeightsData); |
| 1283 | |
| 1284 | std::vector<float> cellToOutputWeightsData(tensorInfo20.GetNumElements(), 0.0f); |
| 1285 | armnn::ConstTensor cellToOutputWeights(tensorInfo20, cellToOutputWeightsData); |
| 1286 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1287 | armnn::TensorInfo tensorInfo16x20({outputSize, numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1288 | std::vector<float> projectionWeightsData(tensorInfo16x20.GetNumElements(), 0.0f); |
| 1289 | armnn::ConstTensor projectionWeights(tensorInfo16x20, projectionWeightsData); |
| 1290 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1291 | armnn::TensorInfo tensorInfo16({outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1292 | std::vector<float> projectionBiasData(outputSize, 0.0f); |
| 1293 | armnn::ConstTensor projectionBias(tensorInfo16, projectionBiasData); |
| 1294 | |
| 1295 | armnn::LstmInputParams params; |
| 1296 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 1297 | params.m_InputToCellWeights = &inputToCellWeights; |
| 1298 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 1299 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 1300 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 1301 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 1302 | params.m_ForgetGateBias = &forgetGateBias; |
| 1303 | params.m_CellBias = &cellBias; |
| 1304 | params.m_OutputGateBias = &outputGateBias; |
| 1305 | |
| 1306 | // additional params because: descriptor.m_CifgEnabled = false |
| 1307 | params.m_InputToInputWeights = &inputToInputWeights; |
| 1308 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 1309 | params.m_CellToInputWeights = &cellToInputWeights; |
| 1310 | params.m_InputGateBias = &inputGateBias; |
| 1311 | |
| 1312 | // additional params because: descriptor.m_ProjectionEnabled = true |
| 1313 | params.m_ProjectionWeights = &projectionWeights; |
| 1314 | params.m_ProjectionBias = &projectionBias; |
| 1315 | |
| 1316 | // additional params because: descriptor.m_PeepholeEnabled = true |
| 1317 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 1318 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 1319 | |
| 1320 | const std::string layerName("lstm"); |
| 1321 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); |
| 1322 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 1323 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
| 1324 | armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 4 }, armnn::DataType::Float32); |
| 1325 | |
| 1326 | VerifyLstmLayer<armnn::LstmDescriptor> checker( |
| 1327 | layerName, |
| 1328 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
| 1329 | {lstmTensorInfoScratchBuff, outputStateTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 1330 | descriptor, |
| 1331 | params); |
| 1332 | deserializedNetwork->ExecuteStrategy(checker); |
| 1333 | } |
| 1334 | |
| 1335 | armnn::QuantizedLstmInputParams ConstantsVector2QuantizedLstmInputParams( |
| 1336 | const std::vector<armnn::ConstTensor>& constants) |
| 1337 | { |
| 1338 | armnn::QuantizedLstmInputParams params; |
| 1339 | |
| 1340 | // index for constants vector |
| 1341 | size_t i = 0; |
| 1342 | |
| 1343 | // Get input parameters |
| 1344 | params.m_InputToInputWeights = &constants[i++]; |
| 1345 | params.m_InputToForgetWeights = &constants[i++]; |
| 1346 | params.m_InputToCellWeights = &constants[i++]; |
| 1347 | params.m_InputToOutputWeights = &constants[i++]; |
| 1348 | |
| 1349 | params.m_RecurrentToInputWeights = &constants[i++]; |
| 1350 | params.m_RecurrentToForgetWeights = &constants[i++]; |
| 1351 | params.m_RecurrentToCellWeights = &constants[i++]; |
| 1352 | params.m_RecurrentToOutputWeights = &constants[i++]; |
| 1353 | |
| 1354 | params.m_InputGateBias = &constants[i++]; |
| 1355 | params.m_ForgetGateBias = &constants[i++]; |
| 1356 | params.m_CellBias = &constants[i++]; |
| 1357 | params.m_OutputGateBias = &constants[i++]; |
| 1358 | |
| 1359 | return params; |
| 1360 | } |
| 1361 | |
| 1362 | class VerifyQuantizedLstmLayer : public LayerVerifierBase |
| 1363 | { |
| 1364 | |
| 1365 | public: |
| 1366 | VerifyQuantizedLstmLayer(const std::string& layerName, |
| 1367 | const std::vector<armnn::TensorInfo>& inputInfos, |
| 1368 | const std::vector<armnn::TensorInfo>& outputInfos, |
| 1369 | const armnn::QuantizedLstmInputParams& inputParams) |
| 1370 | : LayerVerifierBase(layerName, inputInfos, outputInfos), m_InputParams(inputParams) {} |
| 1371 | |
| 1372 | void ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| 1373 | const armnn::BaseDescriptor& descriptor, |
| 1374 | const std::vector<armnn::ConstTensor>& constants, |
| 1375 | const char* name, |
| 1376 | const armnn::LayerBindingId id = 0) override |
| 1377 | { |
| 1378 | armnn::IgnoreUnused(descriptor, constants, id); |
| 1379 | switch (layer->GetType()) |
| 1380 | { |
| 1381 | case armnn::LayerType::Input: break; |
| 1382 | case armnn::LayerType::Output: break; |
| 1383 | case armnn::LayerType::QuantizedLstm: |
| 1384 | { |
| 1385 | VerifyNameAndConnections(layer, name); |
| 1386 | armnn::QuantizedLstmInputParams params = ConstantsVector2QuantizedLstmInputParams(constants); |
| 1387 | VerifyInputParameters(params); |
| 1388 | break; |
| 1389 | } |
| 1390 | default: |
| 1391 | { |
| 1392 | throw armnn::Exception(fmt::format("Unexpected layer type in QuantizedLstm test model:", |
| 1393 | layer->GetName())); |
| 1394 | } |
| 1395 | } |
| 1396 | } |
| 1397 | |
| 1398 | protected: |
| 1399 | void VerifyInputParameters(const armnn::QuantizedLstmInputParams& params) |
| 1400 | { |
| 1401 | VerifyConstTensors("m_InputToInputWeights", |
| 1402 | m_InputParams.m_InputToInputWeights, params.m_InputToInputWeights); |
| 1403 | VerifyConstTensors("m_InputToForgetWeights", |
| 1404 | m_InputParams.m_InputToForgetWeights, params.m_InputToForgetWeights); |
| 1405 | VerifyConstTensors("m_InputToCellWeights", |
| 1406 | m_InputParams.m_InputToCellWeights, params.m_InputToCellWeights); |
| 1407 | VerifyConstTensors("m_InputToOutputWeights", |
| 1408 | m_InputParams.m_InputToOutputWeights, params.m_InputToOutputWeights); |
| 1409 | VerifyConstTensors("m_RecurrentToInputWeights", |
| 1410 | m_InputParams.m_RecurrentToInputWeights, params.m_RecurrentToInputWeights); |
| 1411 | VerifyConstTensors("m_RecurrentToForgetWeights", |
| 1412 | m_InputParams.m_RecurrentToForgetWeights, params.m_RecurrentToForgetWeights); |
| 1413 | VerifyConstTensors("m_RecurrentToCellWeights", |
| 1414 | m_InputParams.m_RecurrentToCellWeights, params.m_RecurrentToCellWeights); |
| 1415 | VerifyConstTensors("m_RecurrentToOutputWeights", |
| 1416 | m_InputParams.m_RecurrentToOutputWeights, params.m_RecurrentToOutputWeights); |
| 1417 | VerifyConstTensors("m_InputGateBias", |
| 1418 | m_InputParams.m_InputGateBias, params.m_InputGateBias); |
| 1419 | VerifyConstTensors("m_ForgetGateBias", |
| 1420 | m_InputParams.m_ForgetGateBias, params.m_ForgetGateBias); |
| 1421 | VerifyConstTensors("m_CellBias", |
| 1422 | m_InputParams.m_CellBias, params.m_CellBias); |
| 1423 | VerifyConstTensors("m_OutputGateBias", |
| 1424 | m_InputParams.m_OutputGateBias, params.m_OutputGateBias); |
| 1425 | } |
| 1426 | |
| 1427 | private: |
| 1428 | armnn::QuantizedLstmInputParams m_InputParams; |
| 1429 | }; |
| 1430 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1431 | TEST_CASE("SerializeDeserializeQuantizedLstm") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1432 | { |
| 1433 | const uint32_t batchSize = 1; |
| 1434 | const uint32_t inputSize = 2; |
| 1435 | const uint32_t numUnits = 4; |
| 1436 | const uint32_t outputSize = numUnits; |
| 1437 | |
| 1438 | // Scale/Offset for input/output, cellState In/Out, weights, bias |
| 1439 | float inputOutputScale = 0.0078125f; |
| 1440 | int32_t inputOutputOffset = 128; |
| 1441 | |
| 1442 | float cellStateScale = 0.00048828125f; |
| 1443 | int32_t cellStateOffset = 0; |
| 1444 | |
| 1445 | float weightsScale = 0.00408021f; |
| 1446 | int32_t weightsOffset = 100; |
| 1447 | |
| 1448 | float biasScale = 3.1876640625e-05f; |
| 1449 | int32_t biasOffset = 0; |
| 1450 | |
| 1451 | // The shape of weight data is {outputSize, inputSize} = {4, 2} |
| 1452 | armnn::TensorShape inputToInputWeightsShape = {4, 2}; |
| 1453 | std::vector<uint8_t> inputToInputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8}; |
| 1454 | armnn::TensorInfo inputToInputWeightsInfo(inputToInputWeightsShape, |
| 1455 | armnn::DataType::QAsymmU8, |
| 1456 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1457 | weightsOffset, |
| 1458 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1459 | armnn::ConstTensor inputToInputWeights(inputToInputWeightsInfo, inputToInputWeightsData); |
| 1460 | |
| 1461 | armnn::TensorShape inputToForgetWeightsShape = {4, 2}; |
| 1462 | std::vector<uint8_t> inputToForgetWeightsData = {1, 2, 3, 4, 5, 6, 7, 8}; |
| 1463 | armnn::TensorInfo inputToForgetWeightsInfo(inputToForgetWeightsShape, |
| 1464 | armnn::DataType::QAsymmU8, |
| 1465 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1466 | weightsOffset, |
| 1467 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1468 | armnn::ConstTensor inputToForgetWeights(inputToForgetWeightsInfo, inputToForgetWeightsData); |
| 1469 | |
| 1470 | armnn::TensorShape inputToCellWeightsShape = {4, 2}; |
| 1471 | std::vector<uint8_t> inputToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8}; |
| 1472 | armnn::TensorInfo inputToCellWeightsInfo(inputToCellWeightsShape, |
| 1473 | armnn::DataType::QAsymmU8, |
| 1474 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1475 | weightsOffset, |
| 1476 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1477 | armnn::ConstTensor inputToCellWeights(inputToCellWeightsInfo, inputToCellWeightsData); |
| 1478 | |
| 1479 | armnn::TensorShape inputToOutputWeightsShape = {4, 2}; |
| 1480 | std::vector<uint8_t> inputToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8}; |
| 1481 | armnn::TensorInfo inputToOutputWeightsInfo(inputToOutputWeightsShape, |
| 1482 | armnn::DataType::QAsymmU8, |
| 1483 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1484 | weightsOffset, |
| 1485 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1486 | armnn::ConstTensor inputToOutputWeights(inputToOutputWeightsInfo, inputToOutputWeightsData); |
| 1487 | |
| 1488 | // The shape of recurrent weight data is {outputSize, outputSize} = {4, 4} |
| 1489 | armnn::TensorShape recurrentToInputWeightsShape = {4, 4}; |
| 1490 | std::vector<uint8_t> recurrentToInputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}; |
| 1491 | armnn::TensorInfo recurrentToInputWeightsInfo(recurrentToInputWeightsShape, |
| 1492 | armnn::DataType::QAsymmU8, |
| 1493 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1494 | weightsOffset, |
| 1495 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1496 | armnn::ConstTensor recurrentToInputWeights(recurrentToInputWeightsInfo, recurrentToInputWeightsData); |
| 1497 | |
| 1498 | armnn::TensorShape recurrentToForgetWeightsShape = {4, 4}; |
| 1499 | std::vector<uint8_t> recurrentToForgetWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}; |
| 1500 | armnn::TensorInfo recurrentToForgetWeightsInfo(recurrentToForgetWeightsShape, |
| 1501 | armnn::DataType::QAsymmU8, |
| 1502 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1503 | weightsOffset, |
| 1504 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1505 | armnn::ConstTensor recurrentToForgetWeights(recurrentToForgetWeightsInfo, recurrentToForgetWeightsData); |
| 1506 | |
| 1507 | armnn::TensorShape recurrentToCellWeightsShape = {4, 4}; |
| 1508 | std::vector<uint8_t> recurrentToCellWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}; |
| 1509 | armnn::TensorInfo recurrentToCellWeightsInfo(recurrentToCellWeightsShape, |
| 1510 | armnn::DataType::QAsymmU8, |
| 1511 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1512 | weightsOffset, |
| 1513 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1514 | armnn::ConstTensor recurrentToCellWeights(recurrentToCellWeightsInfo, recurrentToCellWeightsData); |
| 1515 | |
| 1516 | armnn::TensorShape recurrentToOutputWeightsShape = {4, 4}; |
| 1517 | std::vector<uint8_t> recurrentToOutputWeightsData = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}; |
| 1518 | armnn::TensorInfo recurrentToOutputWeightsInfo(recurrentToOutputWeightsShape, |
| 1519 | armnn::DataType::QAsymmU8, |
| 1520 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1521 | weightsOffset, |
| 1522 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1523 | armnn::ConstTensor recurrentToOutputWeights(recurrentToOutputWeightsInfo, recurrentToOutputWeightsData); |
| 1524 | |
| 1525 | // The shape of bias data is {outputSize} = {4} |
| 1526 | armnn::TensorShape inputGateBiasShape = {4}; |
| 1527 | std::vector<int32_t> inputGateBiasData = {1, 2, 3, 4}; |
| 1528 | armnn::TensorInfo inputGateBiasInfo(inputGateBiasShape, |
| 1529 | armnn::DataType::Signed32, |
| 1530 | biasScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1531 | biasOffset, |
| 1532 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1533 | armnn::ConstTensor inputGateBias(inputGateBiasInfo, inputGateBiasData); |
| 1534 | |
| 1535 | armnn::TensorShape forgetGateBiasShape = {4}; |
| 1536 | std::vector<int32_t> forgetGateBiasData = {1, 2, 3, 4}; |
| 1537 | armnn::TensorInfo forgetGateBiasInfo(forgetGateBiasShape, |
| 1538 | armnn::DataType::Signed32, |
| 1539 | biasScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1540 | biasOffset, |
| 1541 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1542 | armnn::ConstTensor forgetGateBias(forgetGateBiasInfo, forgetGateBiasData); |
| 1543 | |
| 1544 | armnn::TensorShape cellBiasShape = {4}; |
| 1545 | std::vector<int32_t> cellBiasData = {1, 2, 3, 4}; |
| 1546 | armnn::TensorInfo cellBiasInfo(cellBiasShape, |
| 1547 | armnn::DataType::Signed32, |
| 1548 | biasScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1549 | biasOffset, |
| 1550 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1551 | armnn::ConstTensor cellBias(cellBiasInfo, cellBiasData); |
| 1552 | |
| 1553 | armnn::TensorShape outputGateBiasShape = {4}; |
| 1554 | std::vector<int32_t> outputGateBiasData = {1, 2, 3, 4}; |
| 1555 | armnn::TensorInfo outputGateBiasInfo(outputGateBiasShape, |
| 1556 | armnn::DataType::Signed32, |
| 1557 | biasScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1558 | biasOffset, |
| 1559 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1560 | armnn::ConstTensor outputGateBias(outputGateBiasInfo, outputGateBiasData); |
| 1561 | |
| 1562 | armnn::QuantizedLstmInputParams params; |
| 1563 | params.m_InputToInputWeights = &inputToInputWeights; |
| 1564 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 1565 | params.m_InputToCellWeights = &inputToCellWeights; |
| 1566 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 1567 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 1568 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 1569 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 1570 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 1571 | params.m_InputGateBias = &inputGateBias; |
| 1572 | params.m_ForgetGateBias = &forgetGateBias; |
| 1573 | params.m_CellBias = &cellBias; |
| 1574 | params.m_OutputGateBias = &outputGateBias; |
| 1575 | |
| 1576 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1577 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 1578 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 1579 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 1580 | const std::string layerName("QuantizedLstm"); |
| 1581 | armnn::IConnectableLayer* const quantizedLstmLayer = network->AddQuantizedLstmLayer(params, layerName.c_str()); |
| 1582 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(0); |
| 1583 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(1); |
| 1584 | |
| 1585 | // Connect up |
| 1586 | armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, |
| 1587 | armnn::DataType::QAsymmU8, |
| 1588 | inputOutputScale, |
| 1589 | inputOutputOffset); |
| 1590 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits }, |
| 1591 | armnn::DataType::QSymmS16, |
| 1592 | cellStateScale, |
| 1593 | cellStateOffset); |
| 1594 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, |
| 1595 | armnn::DataType::QAsymmU8, |
| 1596 | inputOutputScale, |
| 1597 | inputOutputOffset); |
| 1598 | |
| 1599 | inputLayer->GetOutputSlot(0).Connect(quantizedLstmLayer->GetInputSlot(0)); |
| 1600 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 1601 | |
| 1602 | cellStateIn->GetOutputSlot(0).Connect(quantizedLstmLayer->GetInputSlot(1)); |
| 1603 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 1604 | |
| 1605 | outputStateIn->GetOutputSlot(0).Connect(quantizedLstmLayer->GetInputSlot(2)); |
| 1606 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 1607 | |
| 1608 | quantizedLstmLayer->GetOutputSlot(0).Connect(cellStateOut->GetInputSlot(0)); |
| 1609 | quantizedLstmLayer->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 1610 | |
| 1611 | quantizedLstmLayer->GetOutputSlot(1).Connect(outputLayer->GetInputSlot(0)); |
| 1612 | quantizedLstmLayer->GetOutputSlot(1).SetTensorInfo(outputStateTensorInfo); |
| 1613 | |
| 1614 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1615 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1616 | |
| 1617 | VerifyQuantizedLstmLayer checker(layerName, |
| 1618 | {inputTensorInfo, cellStateTensorInfo, outputStateTensorInfo}, |
| 1619 | {cellStateTensorInfo, outputStateTensorInfo}, |
| 1620 | params); |
| 1621 | |
| 1622 | deserializedNetwork->ExecuteStrategy(checker); |
| 1623 | } |
| 1624 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1625 | TEST_CASE("SerializeDeserializeQLstmBasic") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1626 | { |
| 1627 | armnn::QLstmDescriptor descriptor; |
| 1628 | |
| 1629 | descriptor.m_CifgEnabled = true; |
| 1630 | descriptor.m_ProjectionEnabled = false; |
| 1631 | descriptor.m_PeepholeEnabled = false; |
| 1632 | descriptor.m_LayerNormEnabled = false; |
| 1633 | |
| 1634 | descriptor.m_CellClip = 0.0f; |
| 1635 | descriptor.m_ProjectionClip = 0.0f; |
| 1636 | |
| 1637 | descriptor.m_InputIntermediateScale = 0.00001f; |
| 1638 | descriptor.m_ForgetIntermediateScale = 0.00001f; |
| 1639 | descriptor.m_CellIntermediateScale = 0.00001f; |
| 1640 | descriptor.m_OutputIntermediateScale = 0.00001f; |
| 1641 | |
| 1642 | descriptor.m_HiddenStateScale = 0.07f; |
| 1643 | descriptor.m_HiddenStateZeroPoint = 0; |
| 1644 | |
| 1645 | const unsigned int numBatches = 2; |
| 1646 | const unsigned int inputSize = 5; |
| 1647 | const unsigned int outputSize = 4; |
| 1648 | const unsigned int numUnits = 4; |
| 1649 | |
| 1650 | // Scale/Offset quantization info |
| 1651 | float inputScale = 0.0078f; |
| 1652 | int32_t inputOffset = 0; |
| 1653 | |
| 1654 | float outputScale = 0.0078f; |
| 1655 | int32_t outputOffset = 0; |
| 1656 | |
| 1657 | float cellStateScale = 3.5002e-05f; |
| 1658 | int32_t cellStateOffset = 0; |
| 1659 | |
| 1660 | float weightsScale = 0.007f; |
| 1661 | int32_t weightsOffset = 0; |
| 1662 | |
| 1663 | float biasScale = 3.5002e-05f / 1024; |
| 1664 | int32_t biasOffset = 0; |
| 1665 | |
| 1666 | // Weights and bias tensor and quantization info |
| 1667 | armnn::TensorInfo inputWeightsInfo({numUnits, inputSize}, |
| 1668 | armnn::DataType::QSymmS8, |
| 1669 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1670 | weightsOffset, |
| 1671 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1672 | |
| 1673 | armnn::TensorInfo recurrentWeightsInfo({numUnits, outputSize}, |
| 1674 | armnn::DataType::QSymmS8, |
| 1675 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1676 | weightsOffset, |
| 1677 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1678 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 1679 | armnn::TensorInfo biasInfo({numUnits}, armnn::DataType::Signed32, biasScale, biasOffset, true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1680 | |
| 1681 | std::vector<int8_t> inputToForgetWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 1682 | std::vector<int8_t> inputToCellWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 1683 | std::vector<int8_t> inputToOutputWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 1684 | |
| 1685 | armnn::ConstTensor inputToForgetWeights(inputWeightsInfo, inputToForgetWeightsData); |
| 1686 | armnn::ConstTensor inputToCellWeights(inputWeightsInfo, inputToCellWeightsData); |
| 1687 | armnn::ConstTensor inputToOutputWeights(inputWeightsInfo, inputToOutputWeightsData); |
| 1688 | |
| 1689 | std::vector<int8_t> recurrentToForgetWeightsData = |
| 1690 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 1691 | std::vector<int8_t> recurrentToCellWeightsData = |
| 1692 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 1693 | std::vector<int8_t> recurrentToOutputWeightsData = |
| 1694 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 1695 | |
| 1696 | armnn::ConstTensor recurrentToForgetWeights(recurrentWeightsInfo, recurrentToForgetWeightsData); |
| 1697 | armnn::ConstTensor recurrentToCellWeights(recurrentWeightsInfo, recurrentToCellWeightsData); |
| 1698 | armnn::ConstTensor recurrentToOutputWeights(recurrentWeightsInfo, recurrentToOutputWeightsData); |
| 1699 | |
| 1700 | std::vector<int32_t> forgetGateBiasData(numUnits, 1); |
| 1701 | std::vector<int32_t> cellBiasData(numUnits, 0); |
| 1702 | std::vector<int32_t> outputGateBiasData(numUnits, 0); |
| 1703 | |
| 1704 | armnn::ConstTensor forgetGateBias(biasInfo, forgetGateBiasData); |
| 1705 | armnn::ConstTensor cellBias(biasInfo, cellBiasData); |
| 1706 | armnn::ConstTensor outputGateBias(biasInfo, outputGateBiasData); |
| 1707 | |
| 1708 | // Set up params |
| 1709 | armnn::LstmInputParams params; |
| 1710 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 1711 | params.m_InputToCellWeights = &inputToCellWeights; |
| 1712 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 1713 | |
| 1714 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 1715 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 1716 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 1717 | |
| 1718 | params.m_ForgetGateBias = &forgetGateBias; |
| 1719 | params.m_CellBias = &cellBias; |
| 1720 | params.m_OutputGateBias = &outputGateBias; |
| 1721 | |
| 1722 | // Create network |
| 1723 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1724 | const std::string layerName("qLstm"); |
| 1725 | |
| 1726 | armnn::IConnectableLayer* const input = network->AddInputLayer(0); |
| 1727 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(1); |
| 1728 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(2); |
| 1729 | |
| 1730 | armnn::IConnectableLayer* const qLstmLayer = network->AddQLstmLayer(descriptor, params, layerName.c_str()); |
| 1731 | |
| 1732 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(0); |
| 1733 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(1); |
| 1734 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(2); |
| 1735 | |
| 1736 | // Input/Output tensor info |
| 1737 | armnn::TensorInfo inputInfo({numBatches , inputSize}, |
| 1738 | armnn::DataType::QAsymmS8, |
| 1739 | inputScale, |
| 1740 | inputOffset); |
| 1741 | |
| 1742 | armnn::TensorInfo cellStateInfo({numBatches , numUnits}, |
| 1743 | armnn::DataType::QSymmS16, |
| 1744 | cellStateScale, |
| 1745 | cellStateOffset); |
| 1746 | |
| 1747 | armnn::TensorInfo outputStateInfo({numBatches , outputSize}, |
| 1748 | armnn::DataType::QAsymmS8, |
| 1749 | outputScale, |
| 1750 | outputOffset); |
| 1751 | |
| 1752 | // Connect input/output slots |
| 1753 | input->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(0)); |
| 1754 | input->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1755 | |
| 1756 | outputStateIn->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(1)); |
| 1757 | outputStateIn->GetOutputSlot(0).SetTensorInfo(cellStateInfo); |
| 1758 | |
| 1759 | cellStateIn->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(2)); |
| 1760 | cellStateIn->GetOutputSlot(0).SetTensorInfo(outputStateInfo); |
| 1761 | |
| 1762 | qLstmLayer->GetOutputSlot(0).Connect(outputStateOut->GetInputSlot(0)); |
| 1763 | qLstmLayer->GetOutputSlot(0).SetTensorInfo(outputStateInfo); |
| 1764 | |
| 1765 | qLstmLayer->GetOutputSlot(1).Connect(cellStateOut->GetInputSlot(0)); |
| 1766 | qLstmLayer->GetOutputSlot(1).SetTensorInfo(cellStateInfo); |
| 1767 | |
| 1768 | qLstmLayer->GetOutputSlot(2).Connect(outputLayer->GetInputSlot(0)); |
| 1769 | qLstmLayer->GetOutputSlot(2).SetTensorInfo(outputStateInfo); |
| 1770 | |
| 1771 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1772 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1773 | |
| 1774 | VerifyLstmLayer<armnn::QLstmDescriptor> checker( |
| 1775 | layerName, |
| 1776 | {inputInfo, cellStateInfo, outputStateInfo}, |
| 1777 | {outputStateInfo, cellStateInfo, outputStateInfo}, |
| 1778 | descriptor, |
| 1779 | params); |
| 1780 | |
| 1781 | deserializedNetwork->ExecuteStrategy(checker); |
| 1782 | } |
| 1783 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1784 | TEST_CASE("SerializeDeserializeQLstmCifgLayerNorm") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1785 | { |
| 1786 | armnn::QLstmDescriptor descriptor; |
| 1787 | |
| 1788 | // CIFG params are used when CIFG is disabled |
| 1789 | descriptor.m_CifgEnabled = true; |
| 1790 | descriptor.m_ProjectionEnabled = false; |
| 1791 | descriptor.m_PeepholeEnabled = false; |
| 1792 | descriptor.m_LayerNormEnabled = true; |
| 1793 | |
| 1794 | descriptor.m_CellClip = 0.0f; |
| 1795 | descriptor.m_ProjectionClip = 0.0f; |
| 1796 | |
| 1797 | descriptor.m_InputIntermediateScale = 0.00001f; |
| 1798 | descriptor.m_ForgetIntermediateScale = 0.00001f; |
| 1799 | descriptor.m_CellIntermediateScale = 0.00001f; |
| 1800 | descriptor.m_OutputIntermediateScale = 0.00001f; |
| 1801 | |
| 1802 | descriptor.m_HiddenStateScale = 0.07f; |
| 1803 | descriptor.m_HiddenStateZeroPoint = 0; |
| 1804 | |
| 1805 | const unsigned int numBatches = 2; |
| 1806 | const unsigned int inputSize = 5; |
| 1807 | const unsigned int outputSize = 4; |
| 1808 | const unsigned int numUnits = 4; |
| 1809 | |
| 1810 | // Scale/Offset quantization info |
| 1811 | float inputScale = 0.0078f; |
| 1812 | int32_t inputOffset = 0; |
| 1813 | |
| 1814 | float outputScale = 0.0078f; |
| 1815 | int32_t outputOffset = 0; |
| 1816 | |
| 1817 | float cellStateScale = 3.5002e-05f; |
| 1818 | int32_t cellStateOffset = 0; |
| 1819 | |
| 1820 | float weightsScale = 0.007f; |
| 1821 | int32_t weightsOffset = 0; |
| 1822 | |
| 1823 | float layerNormScale = 3.5002e-05f; |
| 1824 | int32_t layerNormOffset = 0; |
| 1825 | |
| 1826 | float biasScale = layerNormScale / 1024; |
| 1827 | int32_t biasOffset = 0; |
| 1828 | |
| 1829 | // Weights and bias tensor and quantization info |
| 1830 | armnn::TensorInfo inputWeightsInfo({numUnits, inputSize}, |
| 1831 | armnn::DataType::QSymmS8, |
| 1832 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1833 | weightsOffset, |
| 1834 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1835 | |
| 1836 | armnn::TensorInfo recurrentWeightsInfo({numUnits, outputSize}, |
| 1837 | armnn::DataType::QSymmS8, |
| 1838 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1839 | weightsOffset, |
| 1840 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1841 | |
| 1842 | armnn::TensorInfo biasInfo({numUnits}, |
| 1843 | armnn::DataType::Signed32, |
| 1844 | biasScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1845 | biasOffset, |
| 1846 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1847 | |
| 1848 | armnn::TensorInfo layerNormWeightsInfo({numUnits}, |
| 1849 | armnn::DataType::QSymmS16, |
| 1850 | layerNormScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 1851 | layerNormOffset, |
| 1852 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1853 | |
| 1854 | // Mandatory params |
| 1855 | std::vector<int8_t> inputToForgetWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 1856 | std::vector<int8_t> inputToCellWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 1857 | std::vector<int8_t> inputToOutputWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 1858 | |
| 1859 | armnn::ConstTensor inputToForgetWeights(inputWeightsInfo, inputToForgetWeightsData); |
| 1860 | armnn::ConstTensor inputToCellWeights(inputWeightsInfo, inputToCellWeightsData); |
| 1861 | armnn::ConstTensor inputToOutputWeights(inputWeightsInfo, inputToOutputWeightsData); |
| 1862 | |
| 1863 | std::vector<int8_t> recurrentToForgetWeightsData = |
| 1864 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 1865 | std::vector<int8_t> recurrentToCellWeightsData = |
| 1866 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 1867 | std::vector<int8_t> recurrentToOutputWeightsData = |
| 1868 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 1869 | |
| 1870 | armnn::ConstTensor recurrentToForgetWeights(recurrentWeightsInfo, recurrentToForgetWeightsData); |
| 1871 | armnn::ConstTensor recurrentToCellWeights(recurrentWeightsInfo, recurrentToCellWeightsData); |
| 1872 | armnn::ConstTensor recurrentToOutputWeights(recurrentWeightsInfo, recurrentToOutputWeightsData); |
| 1873 | |
| 1874 | std::vector<int32_t> forgetGateBiasData(numUnits, 1); |
| 1875 | std::vector<int32_t> cellBiasData(numUnits, 0); |
| 1876 | std::vector<int32_t> outputGateBiasData(numUnits, 0); |
| 1877 | |
| 1878 | armnn::ConstTensor forgetGateBias(biasInfo, forgetGateBiasData); |
| 1879 | armnn::ConstTensor cellBias(biasInfo, cellBiasData); |
| 1880 | armnn::ConstTensor outputGateBias(biasInfo, outputGateBiasData); |
| 1881 | |
| 1882 | // Layer Norm |
| 1883 | std::vector<int16_t> forgetLayerNormWeightsData = |
| 1884 | GenerateRandomData<int16_t>(layerNormWeightsInfo.GetNumElements()); |
| 1885 | std::vector<int16_t> cellLayerNormWeightsData = |
| 1886 | GenerateRandomData<int16_t>(layerNormWeightsInfo.GetNumElements()); |
| 1887 | std::vector<int16_t> outputLayerNormWeightsData = |
| 1888 | GenerateRandomData<int16_t>(layerNormWeightsInfo.GetNumElements()); |
| 1889 | |
| 1890 | armnn::ConstTensor forgetLayerNormWeights(layerNormWeightsInfo, forgetLayerNormWeightsData); |
| 1891 | armnn::ConstTensor cellLayerNormWeights(layerNormWeightsInfo, cellLayerNormWeightsData); |
| 1892 | armnn::ConstTensor outputLayerNormWeights(layerNormWeightsInfo, outputLayerNormWeightsData); |
| 1893 | |
| 1894 | // Set up params |
| 1895 | armnn::LstmInputParams params; |
| 1896 | |
| 1897 | // Mandatory params |
| 1898 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 1899 | params.m_InputToCellWeights = &inputToCellWeights; |
| 1900 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 1901 | |
| 1902 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 1903 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 1904 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 1905 | |
| 1906 | params.m_ForgetGateBias = &forgetGateBias; |
| 1907 | params.m_CellBias = &cellBias; |
| 1908 | params.m_OutputGateBias = &outputGateBias; |
| 1909 | |
| 1910 | // Layer Norm |
| 1911 | params.m_ForgetLayerNormWeights = &forgetLayerNormWeights; |
| 1912 | params.m_CellLayerNormWeights = &cellLayerNormWeights; |
| 1913 | params.m_OutputLayerNormWeights = &outputLayerNormWeights; |
| 1914 | |
| 1915 | // Create network |
| 1916 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 1917 | const std::string layerName("qLstm"); |
| 1918 | |
| 1919 | armnn::IConnectableLayer* const input = network->AddInputLayer(0); |
| 1920 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(1); |
| 1921 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(2); |
| 1922 | |
| 1923 | armnn::IConnectableLayer* const qLstmLayer = network->AddQLstmLayer(descriptor, params, layerName.c_str()); |
| 1924 | |
| 1925 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(0); |
| 1926 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(1); |
| 1927 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(2); |
| 1928 | |
| 1929 | // Input/Output tensor info |
| 1930 | armnn::TensorInfo inputInfo({numBatches , inputSize}, |
| 1931 | armnn::DataType::QAsymmS8, |
| 1932 | inputScale, |
| 1933 | inputOffset); |
| 1934 | |
| 1935 | armnn::TensorInfo cellStateInfo({numBatches , numUnits}, |
| 1936 | armnn::DataType::QSymmS16, |
| 1937 | cellStateScale, |
| 1938 | cellStateOffset); |
| 1939 | |
| 1940 | armnn::TensorInfo outputStateInfo({numBatches , outputSize}, |
| 1941 | armnn::DataType::QAsymmS8, |
| 1942 | outputScale, |
| 1943 | outputOffset); |
| 1944 | |
| 1945 | // Connect input/output slots |
| 1946 | input->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(0)); |
| 1947 | input->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 1948 | |
| 1949 | outputStateIn->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(1)); |
| 1950 | outputStateIn->GetOutputSlot(0).SetTensorInfo(cellStateInfo); |
| 1951 | |
| 1952 | cellStateIn->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(2)); |
| 1953 | cellStateIn->GetOutputSlot(0).SetTensorInfo(outputStateInfo); |
| 1954 | |
| 1955 | qLstmLayer->GetOutputSlot(0).Connect(outputStateOut->GetInputSlot(0)); |
| 1956 | qLstmLayer->GetOutputSlot(0).SetTensorInfo(outputStateInfo); |
| 1957 | |
| 1958 | qLstmLayer->GetOutputSlot(1).Connect(cellStateOut->GetInputSlot(0)); |
| 1959 | qLstmLayer->GetOutputSlot(1).SetTensorInfo(cellStateInfo); |
| 1960 | |
| 1961 | qLstmLayer->GetOutputSlot(2).Connect(outputLayer->GetInputSlot(0)); |
| 1962 | qLstmLayer->GetOutputSlot(2).SetTensorInfo(outputStateInfo); |
| 1963 | |
| 1964 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1965 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1966 | |
| 1967 | VerifyLstmLayer<armnn::QLstmDescriptor> checker(layerName, |
| 1968 | {inputInfo, cellStateInfo, outputStateInfo}, |
| 1969 | {outputStateInfo, cellStateInfo, outputStateInfo}, |
| 1970 | descriptor, |
| 1971 | params); |
| 1972 | |
| 1973 | deserializedNetwork->ExecuteStrategy(checker); |
| 1974 | } |
| 1975 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 1976 | TEST_CASE("SerializeDeserializeQLstmAdvanced") |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 1977 | { |
| 1978 | armnn::QLstmDescriptor descriptor; |
| 1979 | |
| 1980 | descriptor.m_CifgEnabled = false; |
| 1981 | descriptor.m_ProjectionEnabled = true; |
| 1982 | descriptor.m_PeepholeEnabled = true; |
| 1983 | descriptor.m_LayerNormEnabled = true; |
| 1984 | |
| 1985 | descriptor.m_CellClip = 0.1f; |
| 1986 | descriptor.m_ProjectionClip = 0.1f; |
| 1987 | |
| 1988 | descriptor.m_InputIntermediateScale = 0.00001f; |
| 1989 | descriptor.m_ForgetIntermediateScale = 0.00001f; |
| 1990 | descriptor.m_CellIntermediateScale = 0.00001f; |
| 1991 | descriptor.m_OutputIntermediateScale = 0.00001f; |
| 1992 | |
| 1993 | descriptor.m_HiddenStateScale = 0.07f; |
| 1994 | descriptor.m_HiddenStateZeroPoint = 0; |
| 1995 | |
| 1996 | const unsigned int numBatches = 2; |
| 1997 | const unsigned int inputSize = 5; |
| 1998 | const unsigned int outputSize = 4; |
| 1999 | const unsigned int numUnits = 4; |
| 2000 | |
| 2001 | // Scale/Offset quantization info |
| 2002 | float inputScale = 0.0078f; |
| 2003 | int32_t inputOffset = 0; |
| 2004 | |
| 2005 | float outputScale = 0.0078f; |
| 2006 | int32_t outputOffset = 0; |
| 2007 | |
| 2008 | float cellStateScale = 3.5002e-05f; |
| 2009 | int32_t cellStateOffset = 0; |
| 2010 | |
| 2011 | float weightsScale = 0.007f; |
| 2012 | int32_t weightsOffset = 0; |
| 2013 | |
| 2014 | float layerNormScale = 3.5002e-05f; |
| 2015 | int32_t layerNormOffset = 0; |
| 2016 | |
| 2017 | float biasScale = layerNormScale / 1024; |
| 2018 | int32_t biasOffset = 0; |
| 2019 | |
| 2020 | // Weights and bias tensor and quantization info |
| 2021 | armnn::TensorInfo inputWeightsInfo({numUnits, inputSize}, |
| 2022 | armnn::DataType::QSymmS8, |
| 2023 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 2024 | weightsOffset, |
| 2025 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2026 | |
| 2027 | armnn::TensorInfo recurrentWeightsInfo({numUnits, outputSize}, |
| 2028 | armnn::DataType::QSymmS8, |
| 2029 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 2030 | weightsOffset, |
| 2031 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2032 | |
| 2033 | armnn::TensorInfo biasInfo({numUnits}, |
| 2034 | armnn::DataType::Signed32, |
| 2035 | biasScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 2036 | biasOffset, |
| 2037 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2038 | |
| 2039 | armnn::TensorInfo peepholeWeightsInfo({numUnits}, |
| 2040 | armnn::DataType::QSymmS16, |
| 2041 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 2042 | weightsOffset, |
| 2043 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2044 | |
| 2045 | armnn::TensorInfo layerNormWeightsInfo({numUnits}, |
| 2046 | armnn::DataType::QSymmS16, |
| 2047 | layerNormScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 2048 | layerNormOffset, |
| 2049 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2050 | |
| 2051 | armnn::TensorInfo projectionWeightsInfo({outputSize, numUnits}, |
| 2052 | armnn::DataType::QSymmS8, |
| 2053 | weightsScale, |
Cathal Corbett | 019da94 | 2021-11-10 12:50:57 +0000 | [diff] [blame] | 2054 | weightsOffset, |
| 2055 | true); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2056 | |
| 2057 | // Mandatory params |
| 2058 | std::vector<int8_t> inputToForgetWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 2059 | std::vector<int8_t> inputToCellWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 2060 | std::vector<int8_t> inputToOutputWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 2061 | |
| 2062 | armnn::ConstTensor inputToForgetWeights(inputWeightsInfo, inputToForgetWeightsData); |
| 2063 | armnn::ConstTensor inputToCellWeights(inputWeightsInfo, inputToCellWeightsData); |
| 2064 | armnn::ConstTensor inputToOutputWeights(inputWeightsInfo, inputToOutputWeightsData); |
| 2065 | |
| 2066 | std::vector<int8_t> recurrentToForgetWeightsData = |
| 2067 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 2068 | std::vector<int8_t> recurrentToCellWeightsData = |
| 2069 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 2070 | std::vector<int8_t> recurrentToOutputWeightsData = |
| 2071 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 2072 | |
| 2073 | armnn::ConstTensor recurrentToForgetWeights(recurrentWeightsInfo, recurrentToForgetWeightsData); |
| 2074 | armnn::ConstTensor recurrentToCellWeights(recurrentWeightsInfo, recurrentToCellWeightsData); |
| 2075 | armnn::ConstTensor recurrentToOutputWeights(recurrentWeightsInfo, recurrentToOutputWeightsData); |
| 2076 | |
| 2077 | std::vector<int32_t> forgetGateBiasData(numUnits, 1); |
| 2078 | std::vector<int32_t> cellBiasData(numUnits, 0); |
| 2079 | std::vector<int32_t> outputGateBiasData(numUnits, 0); |
| 2080 | |
| 2081 | armnn::ConstTensor forgetGateBias(biasInfo, forgetGateBiasData); |
| 2082 | armnn::ConstTensor cellBias(biasInfo, cellBiasData); |
| 2083 | armnn::ConstTensor outputGateBias(biasInfo, outputGateBiasData); |
| 2084 | |
| 2085 | // CIFG |
| 2086 | std::vector<int8_t> inputToInputWeightsData = GenerateRandomData<int8_t>(inputWeightsInfo.GetNumElements()); |
| 2087 | std::vector<int8_t> recurrentToInputWeightsData = |
| 2088 | GenerateRandomData<int8_t>(recurrentWeightsInfo.GetNumElements()); |
| 2089 | std::vector<int32_t> inputGateBiasData(numUnits, 1); |
| 2090 | |
| 2091 | armnn::ConstTensor inputToInputWeights(inputWeightsInfo, inputToInputWeightsData); |
| 2092 | armnn::ConstTensor recurrentToInputWeights(recurrentWeightsInfo, recurrentToInputWeightsData); |
| 2093 | armnn::ConstTensor inputGateBias(biasInfo, inputGateBiasData); |
| 2094 | |
| 2095 | // Peephole |
| 2096 | std::vector<int16_t> cellToInputWeightsData = GenerateRandomData<int16_t>(peepholeWeightsInfo.GetNumElements()); |
| 2097 | std::vector<int16_t> cellToForgetWeightsData = GenerateRandomData<int16_t>(peepholeWeightsInfo.GetNumElements()); |
| 2098 | std::vector<int16_t> cellToOutputWeightsData = GenerateRandomData<int16_t>(peepholeWeightsInfo.GetNumElements()); |
| 2099 | |
| 2100 | armnn::ConstTensor cellToInputWeights(peepholeWeightsInfo, cellToInputWeightsData); |
| 2101 | armnn::ConstTensor cellToForgetWeights(peepholeWeightsInfo, cellToForgetWeightsData); |
| 2102 | armnn::ConstTensor cellToOutputWeights(peepholeWeightsInfo, cellToOutputWeightsData); |
| 2103 | |
| 2104 | // Projection |
| 2105 | std::vector<int8_t> projectionWeightsData = GenerateRandomData<int8_t>(projectionWeightsInfo.GetNumElements()); |
| 2106 | std::vector<int32_t> projectionBiasData(outputSize, 1); |
| 2107 | |
| 2108 | armnn::ConstTensor projectionWeights(projectionWeightsInfo, projectionWeightsData); |
| 2109 | armnn::ConstTensor projectionBias(biasInfo, projectionBiasData); |
| 2110 | |
| 2111 | // Layer Norm |
| 2112 | std::vector<int16_t> inputLayerNormWeightsData = |
| 2113 | GenerateRandomData<int16_t>(layerNormWeightsInfo.GetNumElements()); |
| 2114 | std::vector<int16_t> forgetLayerNormWeightsData = |
| 2115 | GenerateRandomData<int16_t>(layerNormWeightsInfo.GetNumElements()); |
| 2116 | std::vector<int16_t> cellLayerNormWeightsData = |
| 2117 | GenerateRandomData<int16_t>(layerNormWeightsInfo.GetNumElements()); |
| 2118 | std::vector<int16_t> outputLayerNormWeightsData = |
| 2119 | GenerateRandomData<int16_t>(layerNormWeightsInfo.GetNumElements()); |
| 2120 | |
| 2121 | armnn::ConstTensor inputLayerNormWeights(layerNormWeightsInfo, inputLayerNormWeightsData); |
| 2122 | armnn::ConstTensor forgetLayerNormWeights(layerNormWeightsInfo, forgetLayerNormWeightsData); |
| 2123 | armnn::ConstTensor cellLayerNormWeights(layerNormWeightsInfo, cellLayerNormWeightsData); |
| 2124 | armnn::ConstTensor outputLayerNormWeights(layerNormWeightsInfo, outputLayerNormWeightsData); |
| 2125 | |
| 2126 | // Set up params |
| 2127 | armnn::LstmInputParams params; |
| 2128 | |
| 2129 | // Mandatory params |
| 2130 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 2131 | params.m_InputToCellWeights = &inputToCellWeights; |
| 2132 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 2133 | |
| 2134 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 2135 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 2136 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 2137 | |
| 2138 | params.m_ForgetGateBias = &forgetGateBias; |
| 2139 | params.m_CellBias = &cellBias; |
| 2140 | params.m_OutputGateBias = &outputGateBias; |
| 2141 | |
| 2142 | // CIFG |
| 2143 | params.m_InputToInputWeights = &inputToInputWeights; |
| 2144 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 2145 | params.m_InputGateBias = &inputGateBias; |
| 2146 | |
| 2147 | // Peephole |
| 2148 | params.m_CellToInputWeights = &cellToInputWeights; |
| 2149 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 2150 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 2151 | |
| 2152 | // Projection |
| 2153 | params.m_ProjectionWeights = &projectionWeights; |
| 2154 | params.m_ProjectionBias = &projectionBias; |
| 2155 | |
| 2156 | // Layer Norm |
| 2157 | params.m_InputLayerNormWeights = &inputLayerNormWeights; |
| 2158 | params.m_ForgetLayerNormWeights = &forgetLayerNormWeights; |
| 2159 | params.m_CellLayerNormWeights = &cellLayerNormWeights; |
| 2160 | params.m_OutputLayerNormWeights = &outputLayerNormWeights; |
| 2161 | |
| 2162 | // Create network |
| 2163 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2164 | const std::string layerName("qLstm"); |
| 2165 | |
| 2166 | armnn::IConnectableLayer* const input = network->AddInputLayer(0); |
| 2167 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(1); |
| 2168 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(2); |
| 2169 | |
| 2170 | armnn::IConnectableLayer* const qLstmLayer = network->AddQLstmLayer(descriptor, params, layerName.c_str()); |
| 2171 | |
| 2172 | armnn::IConnectableLayer* const outputStateOut = network->AddOutputLayer(0); |
| 2173 | armnn::IConnectableLayer* const cellStateOut = network->AddOutputLayer(1); |
| 2174 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(2); |
| 2175 | |
| 2176 | // Input/Output tensor info |
| 2177 | armnn::TensorInfo inputInfo({numBatches , inputSize}, |
| 2178 | armnn::DataType::QAsymmS8, |
| 2179 | inputScale, |
| 2180 | inputOffset); |
| 2181 | |
| 2182 | armnn::TensorInfo cellStateInfo({numBatches , numUnits}, |
| 2183 | armnn::DataType::QSymmS16, |
| 2184 | cellStateScale, |
| 2185 | cellStateOffset); |
| 2186 | |
| 2187 | armnn::TensorInfo outputStateInfo({numBatches , outputSize}, |
| 2188 | armnn::DataType::QAsymmS8, |
| 2189 | outputScale, |
| 2190 | outputOffset); |
| 2191 | |
| 2192 | // Connect input/output slots |
| 2193 | input->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(0)); |
| 2194 | input->GetOutputSlot(0).SetTensorInfo(inputInfo); |
| 2195 | |
| 2196 | outputStateIn->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(1)); |
| 2197 | outputStateIn->GetOutputSlot(0).SetTensorInfo(cellStateInfo); |
| 2198 | |
| 2199 | cellStateIn->GetOutputSlot(0).Connect(qLstmLayer->GetInputSlot(2)); |
| 2200 | cellStateIn->GetOutputSlot(0).SetTensorInfo(outputStateInfo); |
| 2201 | |
| 2202 | qLstmLayer->GetOutputSlot(0).Connect(outputStateOut->GetInputSlot(0)); |
| 2203 | qLstmLayer->GetOutputSlot(0).SetTensorInfo(outputStateInfo); |
| 2204 | |
| 2205 | qLstmLayer->GetOutputSlot(1).Connect(cellStateOut->GetInputSlot(0)); |
| 2206 | qLstmLayer->GetOutputSlot(1).SetTensorInfo(cellStateInfo); |
| 2207 | |
| 2208 | qLstmLayer->GetOutputSlot(2).Connect(outputLayer->GetInputSlot(0)); |
| 2209 | qLstmLayer->GetOutputSlot(2).SetTensorInfo(outputStateInfo); |
| 2210 | |
| 2211 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2212 | CHECK(deserializedNetwork); |
Finn Williams | b454c5c | 2021-02-09 15:56:23 +0000 | [diff] [blame] | 2213 | |
| 2214 | VerifyLstmLayer<armnn::QLstmDescriptor> checker(layerName, |
| 2215 | {inputInfo, cellStateInfo, outputStateInfo}, |
| 2216 | {outputStateInfo, cellStateInfo, outputStateInfo}, |
| 2217 | descriptor, |
| 2218 | params); |
| 2219 | |
| 2220 | deserializedNetwork->ExecuteStrategy(checker); |
| 2221 | } |
| 2222 | |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2223 | TEST_CASE("SerializeDeserializeUnidirectionalSequenceLstmCifgPeepholeNoProjection") |
| 2224 | { |
| 2225 | armnn::UnidirectionalSequenceLstmDescriptor descriptor; |
| 2226 | descriptor.m_ActivationFunc = 4; |
| 2227 | descriptor.m_ClippingThresProj = 0.0f; |
| 2228 | descriptor.m_ClippingThresCell = 0.0f; |
| 2229 | descriptor.m_CifgEnabled = true; // if this is true then we DON'T need to set the OptCifgParams |
| 2230 | descriptor.m_ProjectionEnabled = false; |
| 2231 | descriptor.m_PeepholeEnabled = true; |
| 2232 | descriptor.m_TimeMajor = false; |
| 2233 | |
| 2234 | const uint32_t batchSize = 1; |
| 2235 | const uint32_t timeSize = 2; |
| 2236 | const uint32_t inputSize = 2; |
| 2237 | const uint32_t numUnits = 4; |
| 2238 | const uint32_t outputSize = numUnits; |
| 2239 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2240 | armnn::TensorInfo inputWeightsInfo1({numUnits, inputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2241 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2242 | armnn::ConstTensor inputToForgetWeights(inputWeightsInfo1, inputToForgetWeightsData); |
| 2243 | |
| 2244 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2245 | armnn::ConstTensor inputToCellWeights(inputWeightsInfo1, inputToCellWeightsData); |
| 2246 | |
| 2247 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2248 | armnn::ConstTensor inputToOutputWeights(inputWeightsInfo1, inputToOutputWeightsData); |
| 2249 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2250 | armnn::TensorInfo inputWeightsInfo2({numUnits, outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2251 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2252 | armnn::ConstTensor recurrentToForgetWeights(inputWeightsInfo2, recurrentToForgetWeightsData); |
| 2253 | |
| 2254 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2255 | armnn::ConstTensor recurrentToCellWeights(inputWeightsInfo2, recurrentToCellWeightsData); |
| 2256 | |
| 2257 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2258 | armnn::ConstTensor recurrentToOutputWeights(inputWeightsInfo2, recurrentToOutputWeightsData); |
| 2259 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2260 | armnn::TensorInfo inputWeightsInfo3({numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2261 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo3.GetNumElements()); |
| 2262 | armnn::ConstTensor cellToForgetWeights(inputWeightsInfo3, cellToForgetWeightsData); |
| 2263 | |
| 2264 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo3.GetNumElements()); |
| 2265 | armnn::ConstTensor cellToOutputWeights(inputWeightsInfo3, cellToOutputWeightsData); |
| 2266 | |
| 2267 | std::vector<float> forgetGateBiasData(numUnits, 1.0f); |
| 2268 | armnn::ConstTensor forgetGateBias(inputWeightsInfo3, forgetGateBiasData); |
| 2269 | |
| 2270 | std::vector<float> cellBiasData(numUnits, 0.0f); |
| 2271 | armnn::ConstTensor cellBias(inputWeightsInfo3, cellBiasData); |
| 2272 | |
| 2273 | std::vector<float> outputGateBiasData(numUnits, 0.0f); |
| 2274 | armnn::ConstTensor outputGateBias(inputWeightsInfo3, outputGateBiasData); |
| 2275 | |
| 2276 | armnn::LstmInputParams params; |
| 2277 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 2278 | params.m_InputToCellWeights = &inputToCellWeights; |
| 2279 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 2280 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 2281 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 2282 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 2283 | params.m_ForgetGateBias = &forgetGateBias; |
| 2284 | params.m_CellBias = &cellBias; |
| 2285 | params.m_OutputGateBias = &outputGateBias; |
| 2286 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 2287 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 2288 | |
| 2289 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2290 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2291 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 2292 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 2293 | const std::string layerName("UnidirectionalSequenceLstm"); |
| 2294 | armnn::IConnectableLayer* const unidirectionalSequenceLstmLayer = |
| 2295 | network->AddUnidirectionalSequenceLstmLayer(descriptor, params, layerName.c_str()); |
| 2296 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2297 | |
| 2298 | // connect up |
| 2299 | armnn::TensorInfo inputTensorInfo({ batchSize, timeSize, inputSize }, armnn::DataType::Float32); |
| 2300 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 2301 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2302 | armnn::TensorInfo outputStateOutTensorInfo({ batchSize, timeSize, outputSize }, armnn::DataType::Float32); |
| 2303 | armnn::TensorInfo cellStateOutTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2304 | armnn::TensorInfo outputTensorInfo({ batchSize, timeSize, outputSize }, armnn::DataType::Float32); |
| 2305 | |
| 2306 | inputLayer->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(0)); |
| 2307 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2308 | |
| 2309 | outputStateIn->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(1)); |
| 2310 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 2311 | |
| 2312 | cellStateIn->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(2)); |
| 2313 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 2314 | |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2315 | unidirectionalSequenceLstmLayer->GetOutputSlot(0).SetTensorInfo(outputStateOutTensorInfo); |
| 2316 | unidirectionalSequenceLstmLayer->GetOutputSlot(1).SetTensorInfo(cellStateOutTensorInfo); |
| 2317 | unidirectionalSequenceLstmLayer->GetOutputSlot(2).Connect(outputLayer->GetInputSlot(0)); |
| 2318 | unidirectionalSequenceLstmLayer->GetOutputSlot(2).SetTensorInfo(outputTensorInfo); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2319 | |
| 2320 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2321 | CHECK(deserializedNetwork); |
| 2322 | |
| 2323 | VerifyLstmLayer<armnn::UnidirectionalSequenceLstmDescriptor> checker( |
| 2324 | layerName, |
| 2325 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2326 | {outputStateOutTensorInfo, cellStateOutTensorInfo, outputTensorInfo}, |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2327 | descriptor, |
| 2328 | params); |
| 2329 | deserializedNetwork->ExecuteStrategy(checker); |
| 2330 | } |
| 2331 | |
| 2332 | TEST_CASE("SerializeDeserializeUnidirectionalSequenceLstmNoCifgWithPeepholeAndProjection") |
| 2333 | { |
| 2334 | armnn::UnidirectionalSequenceLstmDescriptor descriptor; |
| 2335 | descriptor.m_ActivationFunc = 4; |
| 2336 | descriptor.m_ClippingThresProj = 0.0f; |
| 2337 | descriptor.m_ClippingThresCell = 0.0f; |
| 2338 | descriptor.m_CifgEnabled = false; // if this is true then we DON'T need to set the OptCifgParams |
| 2339 | descriptor.m_ProjectionEnabled = true; |
| 2340 | descriptor.m_PeepholeEnabled = true; |
| 2341 | descriptor.m_TimeMajor = false; |
| 2342 | |
| 2343 | const uint32_t batchSize = 2; |
| 2344 | const uint32_t timeSize = 2; |
| 2345 | const uint32_t inputSize = 5; |
| 2346 | const uint32_t numUnits = 20; |
| 2347 | const uint32_t outputSize = 16; |
| 2348 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2349 | armnn::TensorInfo tensorInfo20x5({numUnits, inputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2350 | std::vector<float> inputToInputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2351 | armnn::ConstTensor inputToInputWeights(tensorInfo20x5, inputToInputWeightsData); |
| 2352 | |
| 2353 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2354 | armnn::ConstTensor inputToForgetWeights(tensorInfo20x5, inputToForgetWeightsData); |
| 2355 | |
| 2356 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2357 | armnn::ConstTensor inputToCellWeights(tensorInfo20x5, inputToCellWeightsData); |
| 2358 | |
| 2359 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2360 | armnn::ConstTensor inputToOutputWeights(tensorInfo20x5, inputToOutputWeightsData); |
| 2361 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2362 | armnn::TensorInfo tensorInfo20({numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2363 | std::vector<float> inputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2364 | armnn::ConstTensor inputGateBias(tensorInfo20, inputGateBiasData); |
| 2365 | |
| 2366 | std::vector<float> forgetGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2367 | armnn::ConstTensor forgetGateBias(tensorInfo20, forgetGateBiasData); |
| 2368 | |
| 2369 | std::vector<float> cellBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2370 | armnn::ConstTensor cellBias(tensorInfo20, cellBiasData); |
| 2371 | |
| 2372 | std::vector<float> outputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2373 | armnn::ConstTensor outputGateBias(tensorInfo20, outputGateBiasData); |
| 2374 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2375 | armnn::TensorInfo tensorInfo20x16({numUnits, outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2376 | std::vector<float> recurrentToInputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2377 | armnn::ConstTensor recurrentToInputWeights(tensorInfo20x16, recurrentToInputWeightsData); |
| 2378 | |
| 2379 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2380 | armnn::ConstTensor recurrentToForgetWeights(tensorInfo20x16, recurrentToForgetWeightsData); |
| 2381 | |
| 2382 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2383 | armnn::ConstTensor recurrentToCellWeights(tensorInfo20x16, recurrentToCellWeightsData); |
| 2384 | |
| 2385 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2386 | armnn::ConstTensor recurrentToOutputWeights(tensorInfo20x16, recurrentToOutputWeightsData); |
| 2387 | |
| 2388 | std::vector<float> cellToInputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2389 | armnn::ConstTensor cellToInputWeights(tensorInfo20, cellToInputWeightsData); |
| 2390 | |
| 2391 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2392 | armnn::ConstTensor cellToForgetWeights(tensorInfo20, cellToForgetWeightsData); |
| 2393 | |
| 2394 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2395 | armnn::ConstTensor cellToOutputWeights(tensorInfo20, cellToOutputWeightsData); |
| 2396 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2397 | armnn::TensorInfo tensorInfo16x20({outputSize, numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2398 | std::vector<float> projectionWeightsData = GenerateRandomData<float>(tensorInfo16x20.GetNumElements()); |
| 2399 | armnn::ConstTensor projectionWeights(tensorInfo16x20, projectionWeightsData); |
| 2400 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2401 | armnn::TensorInfo tensorInfo16({outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2402 | std::vector<float> projectionBiasData(outputSize, 0.f); |
| 2403 | armnn::ConstTensor projectionBias(tensorInfo16, projectionBiasData); |
| 2404 | |
| 2405 | armnn::LstmInputParams params; |
| 2406 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 2407 | params.m_InputToCellWeights = &inputToCellWeights; |
| 2408 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 2409 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 2410 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 2411 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 2412 | params.m_ForgetGateBias = &forgetGateBias; |
| 2413 | params.m_CellBias = &cellBias; |
| 2414 | params.m_OutputGateBias = &outputGateBias; |
| 2415 | |
| 2416 | // additional params because: descriptor.m_CifgEnabled = false |
| 2417 | params.m_InputToInputWeights = &inputToInputWeights; |
| 2418 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 2419 | params.m_CellToInputWeights = &cellToInputWeights; |
| 2420 | params.m_InputGateBias = &inputGateBias; |
| 2421 | |
| 2422 | // additional params because: descriptor.m_ProjectionEnabled = true |
| 2423 | params.m_ProjectionWeights = &projectionWeights; |
| 2424 | params.m_ProjectionBias = &projectionBias; |
| 2425 | |
| 2426 | // additional params because: descriptor.m_PeepholeEnabled = true |
| 2427 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 2428 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 2429 | |
| 2430 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2431 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2432 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 2433 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 2434 | const std::string layerName("unidirectionalSequenceLstm"); |
| 2435 | armnn::IConnectableLayer* const unidirectionalSequenceLstmLayer = |
| 2436 | network->AddUnidirectionalSequenceLstmLayer(descriptor, params, layerName.c_str()); |
| 2437 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2438 | |
| 2439 | // connect up |
| 2440 | armnn::TensorInfo inputTensorInfo({ batchSize, timeSize, inputSize }, armnn::DataType::Float32); |
| 2441 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 2442 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2443 | armnn::TensorInfo outputStateOutTensorInfo({ batchSize, timeSize, outputSize }, armnn::DataType::Float32); |
| 2444 | armnn::TensorInfo cellStateOutTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2445 | armnn::TensorInfo outputTensorInfo({ batchSize, timeSize, outputSize }, armnn::DataType::Float32); |
| 2446 | |
| 2447 | inputLayer->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(0)); |
| 2448 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2449 | |
| 2450 | outputStateIn->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(1)); |
| 2451 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 2452 | |
| 2453 | cellStateIn->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(2)); |
| 2454 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 2455 | |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2456 | unidirectionalSequenceLstmLayer->GetOutputSlot(0).SetTensorInfo(outputStateOutTensorInfo); |
| 2457 | unidirectionalSequenceLstmLayer->GetOutputSlot(1).SetTensorInfo(cellStateOutTensorInfo); |
| 2458 | unidirectionalSequenceLstmLayer->GetOutputSlot(2).Connect(outputLayer->GetInputSlot(0)); |
| 2459 | unidirectionalSequenceLstmLayer->GetOutputSlot(2).SetTensorInfo(outputTensorInfo); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2460 | |
| 2461 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2462 | CHECK(deserializedNetwork); |
| 2463 | |
| 2464 | VerifyLstmLayer<armnn::UnidirectionalSequenceLstmDescriptor> checker( |
| 2465 | layerName, |
| 2466 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2467 | {outputStateOutTensorInfo, cellStateOutTensorInfo, outputTensorInfo}, |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2468 | descriptor, |
| 2469 | params); |
| 2470 | deserializedNetwork->ExecuteStrategy(checker); |
| 2471 | } |
| 2472 | |
| 2473 | TEST_CASE("SerializeDeserializeUnidirectionalSequenceLstmNoCifgWithPeepholeWithProjectionWithLayerNorm") |
| 2474 | { |
| 2475 | armnn::UnidirectionalSequenceLstmDescriptor descriptor; |
| 2476 | descriptor.m_ActivationFunc = 4; |
| 2477 | descriptor.m_ClippingThresProj = 0.0f; |
| 2478 | descriptor.m_ClippingThresCell = 0.0f; |
| 2479 | descriptor.m_CifgEnabled = false; // if this is true then we DON'T need to set the OptCifgParams |
| 2480 | descriptor.m_ProjectionEnabled = true; |
| 2481 | descriptor.m_PeepholeEnabled = true; |
| 2482 | descriptor.m_LayerNormEnabled = true; |
| 2483 | descriptor.m_TimeMajor = false; |
| 2484 | |
| 2485 | const uint32_t batchSize = 2; |
| 2486 | const uint32_t timeSize = 2; |
| 2487 | const uint32_t inputSize = 5; |
| 2488 | const uint32_t numUnits = 20; |
| 2489 | const uint32_t outputSize = 16; |
| 2490 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2491 | armnn::TensorInfo tensorInfo20x5({numUnits, inputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2492 | std::vector<float> inputToInputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2493 | armnn::ConstTensor inputToInputWeights(tensorInfo20x5, inputToInputWeightsData); |
| 2494 | |
| 2495 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2496 | armnn::ConstTensor inputToForgetWeights(tensorInfo20x5, inputToForgetWeightsData); |
| 2497 | |
| 2498 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2499 | armnn::ConstTensor inputToCellWeights(tensorInfo20x5, inputToCellWeightsData); |
| 2500 | |
| 2501 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x5.GetNumElements()); |
| 2502 | armnn::ConstTensor inputToOutputWeights(tensorInfo20x5, inputToOutputWeightsData); |
| 2503 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2504 | armnn::TensorInfo tensorInfo20({numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2505 | std::vector<float> inputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2506 | armnn::ConstTensor inputGateBias(tensorInfo20, inputGateBiasData); |
| 2507 | |
| 2508 | std::vector<float> forgetGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2509 | armnn::ConstTensor forgetGateBias(tensorInfo20, forgetGateBiasData); |
| 2510 | |
| 2511 | std::vector<float> cellBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2512 | armnn::ConstTensor cellBias(tensorInfo20, cellBiasData); |
| 2513 | |
| 2514 | std::vector<float> outputGateBiasData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2515 | armnn::ConstTensor outputGateBias(tensorInfo20, outputGateBiasData); |
| 2516 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2517 | armnn::TensorInfo tensorInfo20x16({numUnits, outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2518 | std::vector<float> recurrentToInputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2519 | armnn::ConstTensor recurrentToInputWeights(tensorInfo20x16, recurrentToInputWeightsData); |
| 2520 | |
| 2521 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2522 | armnn::ConstTensor recurrentToForgetWeights(tensorInfo20x16, recurrentToForgetWeightsData); |
| 2523 | |
| 2524 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2525 | armnn::ConstTensor recurrentToCellWeights(tensorInfo20x16, recurrentToCellWeightsData); |
| 2526 | |
| 2527 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(tensorInfo20x16.GetNumElements()); |
| 2528 | armnn::ConstTensor recurrentToOutputWeights(tensorInfo20x16, recurrentToOutputWeightsData); |
| 2529 | |
| 2530 | std::vector<float> cellToInputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2531 | armnn::ConstTensor cellToInputWeights(tensorInfo20, cellToInputWeightsData); |
| 2532 | |
| 2533 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2534 | armnn::ConstTensor cellToForgetWeights(tensorInfo20, cellToForgetWeightsData); |
| 2535 | |
| 2536 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2537 | armnn::ConstTensor cellToOutputWeights(tensorInfo20, cellToOutputWeightsData); |
| 2538 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2539 | armnn::TensorInfo tensorInfo16x20({outputSize, numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2540 | std::vector<float> projectionWeightsData = GenerateRandomData<float>(tensorInfo16x20.GetNumElements()); |
| 2541 | armnn::ConstTensor projectionWeights(tensorInfo16x20, projectionWeightsData); |
| 2542 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2543 | armnn::TensorInfo tensorInfo16({outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2544 | std::vector<float> projectionBiasData(outputSize, 0.f); |
| 2545 | armnn::ConstTensor projectionBias(tensorInfo16, projectionBiasData); |
| 2546 | |
| 2547 | std::vector<float> inputLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2548 | armnn::ConstTensor inputLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 2549 | |
| 2550 | std::vector<float> forgetLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2551 | armnn::ConstTensor forgetLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 2552 | |
| 2553 | std::vector<float> cellLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2554 | armnn::ConstTensor cellLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 2555 | |
| 2556 | std::vector<float> outLayerNormWeightsData = GenerateRandomData<float>(tensorInfo20.GetNumElements()); |
| 2557 | armnn::ConstTensor outLayerNormWeights(tensorInfo20, forgetGateBiasData); |
| 2558 | |
| 2559 | armnn::LstmInputParams params; |
| 2560 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 2561 | params.m_InputToCellWeights = &inputToCellWeights; |
| 2562 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 2563 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 2564 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 2565 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 2566 | params.m_ForgetGateBias = &forgetGateBias; |
| 2567 | params.m_CellBias = &cellBias; |
| 2568 | params.m_OutputGateBias = &outputGateBias; |
| 2569 | |
| 2570 | // additional params because: descriptor.m_CifgEnabled = false |
| 2571 | params.m_InputToInputWeights = &inputToInputWeights; |
| 2572 | params.m_RecurrentToInputWeights = &recurrentToInputWeights; |
| 2573 | params.m_CellToInputWeights = &cellToInputWeights; |
| 2574 | params.m_InputGateBias = &inputGateBias; |
| 2575 | |
| 2576 | // additional params because: descriptor.m_ProjectionEnabled = true |
| 2577 | params.m_ProjectionWeights = &projectionWeights; |
| 2578 | params.m_ProjectionBias = &projectionBias; |
| 2579 | |
| 2580 | // additional params because: descriptor.m_PeepholeEnabled = true |
| 2581 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 2582 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 2583 | |
| 2584 | // additional params because: despriptor.m_LayerNormEnabled = true |
| 2585 | params.m_InputLayerNormWeights = &inputLayerNormWeights; |
| 2586 | params.m_ForgetLayerNormWeights = &forgetLayerNormWeights; |
| 2587 | params.m_CellLayerNormWeights = &cellLayerNormWeights; |
| 2588 | params.m_OutputLayerNormWeights = &outLayerNormWeights; |
| 2589 | |
| 2590 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2591 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2592 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 2593 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 2594 | const std::string layerName("unidirectionalSequenceLstm"); |
| 2595 | armnn::IConnectableLayer* const unidirectionalSequenceLstmLayer = |
| 2596 | network->AddUnidirectionalSequenceLstmLayer(descriptor, params, layerName.c_str()); |
| 2597 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2598 | |
| 2599 | // connect up |
| 2600 | armnn::TensorInfo inputTensorInfo({ batchSize, timeSize, inputSize }, armnn::DataType::Float32); |
| 2601 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 2602 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2603 | armnn::TensorInfo outputStateOutTensorInfo({batchSize, timeSize, outputSize}, armnn::DataType::Float32); |
| 2604 | armnn::TensorInfo cellStateOutTensorInfo({batchSize, timeSize, outputSize}, armnn::DataType::Float32); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2605 | armnn::TensorInfo outputTensorInfo({ batchSize, timeSize, outputSize }, armnn::DataType::Float32); |
| 2606 | |
| 2607 | inputLayer->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(0)); |
| 2608 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2609 | |
| 2610 | outputStateIn->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(1)); |
| 2611 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 2612 | |
| 2613 | cellStateIn->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(2)); |
| 2614 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 2615 | |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2616 | unidirectionalSequenceLstmLayer->GetOutputSlot(0).SetTensorInfo(outputStateOutTensorInfo); |
| 2617 | unidirectionalSequenceLstmLayer->GetOutputSlot(1).SetTensorInfo(cellStateOutTensorInfo); |
| 2618 | unidirectionalSequenceLstmLayer->GetOutputSlot(2).Connect(outputLayer->GetInputSlot(0)); |
| 2619 | unidirectionalSequenceLstmLayer->GetOutputSlot(2).SetTensorInfo(outputTensorInfo); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2620 | |
| 2621 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2622 | CHECK(deserializedNetwork); |
| 2623 | |
| 2624 | VerifyLstmLayer<armnn::UnidirectionalSequenceLstmDescriptor> checker( |
| 2625 | layerName, |
| 2626 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2627 | {outputStateOutTensorInfo, cellStateOutTensorInfo, outputTensorInfo}, |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2628 | descriptor, |
| 2629 | params); |
| 2630 | deserializedNetwork->ExecuteStrategy(checker); |
| 2631 | } |
| 2632 | |
| 2633 | TEST_CASE("SerializeDeserializeUnidirectionalSequenceLstmCifgPeepholeNoProjectionTimeMajor") |
| 2634 | { |
| 2635 | armnn::UnidirectionalSequenceLstmDescriptor descriptor; |
| 2636 | descriptor.m_ActivationFunc = 4; |
| 2637 | descriptor.m_ClippingThresProj = 0.0f; |
| 2638 | descriptor.m_ClippingThresCell = 0.0f; |
| 2639 | descriptor.m_CifgEnabled = true; // if this is true then we DON'T need to set the OptCifgParams |
| 2640 | descriptor.m_ProjectionEnabled = false; |
| 2641 | descriptor.m_PeepholeEnabled = true; |
| 2642 | descriptor.m_TimeMajor = true; |
| 2643 | |
| 2644 | const uint32_t batchSize = 1; |
| 2645 | const uint32_t timeSize = 2; |
| 2646 | const uint32_t inputSize = 2; |
| 2647 | const uint32_t numUnits = 4; |
| 2648 | const uint32_t outputSize = numUnits; |
| 2649 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2650 | armnn::TensorInfo inputWeightsInfo1({numUnits, inputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2651 | std::vector<float> inputToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2652 | armnn::ConstTensor inputToForgetWeights(inputWeightsInfo1, inputToForgetWeightsData); |
| 2653 | |
| 2654 | std::vector<float> inputToCellWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2655 | armnn::ConstTensor inputToCellWeights(inputWeightsInfo1, inputToCellWeightsData); |
| 2656 | |
| 2657 | std::vector<float> inputToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo1.GetNumElements()); |
| 2658 | armnn::ConstTensor inputToOutputWeights(inputWeightsInfo1, inputToOutputWeightsData); |
| 2659 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2660 | armnn::TensorInfo inputWeightsInfo2({numUnits, outputSize}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2661 | std::vector<float> recurrentToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2662 | armnn::ConstTensor recurrentToForgetWeights(inputWeightsInfo2, recurrentToForgetWeightsData); |
| 2663 | |
| 2664 | std::vector<float> recurrentToCellWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2665 | armnn::ConstTensor recurrentToCellWeights(inputWeightsInfo2, recurrentToCellWeightsData); |
| 2666 | |
| 2667 | std::vector<float> recurrentToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo2.GetNumElements()); |
| 2668 | armnn::ConstTensor recurrentToOutputWeights(inputWeightsInfo2, recurrentToOutputWeightsData); |
| 2669 | |
Cathal Corbett | 5b8093c | 2021-10-22 11:12:07 +0100 | [diff] [blame] | 2670 | armnn::TensorInfo inputWeightsInfo3({numUnits}, armnn::DataType::Float32, 0.0f, 0, true); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2671 | std::vector<float> cellToForgetWeightsData = GenerateRandomData<float>(inputWeightsInfo3.GetNumElements()); |
| 2672 | armnn::ConstTensor cellToForgetWeights(inputWeightsInfo3, cellToForgetWeightsData); |
| 2673 | |
| 2674 | std::vector<float> cellToOutputWeightsData = GenerateRandomData<float>(inputWeightsInfo3.GetNumElements()); |
| 2675 | armnn::ConstTensor cellToOutputWeights(inputWeightsInfo3, cellToOutputWeightsData); |
| 2676 | |
| 2677 | std::vector<float> forgetGateBiasData(numUnits, 1.0f); |
| 2678 | armnn::ConstTensor forgetGateBias(inputWeightsInfo3, forgetGateBiasData); |
| 2679 | |
| 2680 | std::vector<float> cellBiasData(numUnits, 0.0f); |
| 2681 | armnn::ConstTensor cellBias(inputWeightsInfo3, cellBiasData); |
| 2682 | |
| 2683 | std::vector<float> outputGateBiasData(numUnits, 0.0f); |
| 2684 | armnn::ConstTensor outputGateBias(inputWeightsInfo3, outputGateBiasData); |
| 2685 | |
| 2686 | armnn::LstmInputParams params; |
| 2687 | params.m_InputToForgetWeights = &inputToForgetWeights; |
| 2688 | params.m_InputToCellWeights = &inputToCellWeights; |
| 2689 | params.m_InputToOutputWeights = &inputToOutputWeights; |
| 2690 | params.m_RecurrentToForgetWeights = &recurrentToForgetWeights; |
| 2691 | params.m_RecurrentToCellWeights = &recurrentToCellWeights; |
| 2692 | params.m_RecurrentToOutputWeights = &recurrentToOutputWeights; |
| 2693 | params.m_ForgetGateBias = &forgetGateBias; |
| 2694 | params.m_CellBias = &cellBias; |
| 2695 | params.m_OutputGateBias = &outputGateBias; |
| 2696 | params.m_CellToForgetWeights = &cellToForgetWeights; |
| 2697 | params.m_CellToOutputWeights = &cellToOutputWeights; |
| 2698 | |
| 2699 | armnn::INetworkPtr network = armnn::INetwork::Create(); |
| 2700 | armnn::IConnectableLayer* const inputLayer = network->AddInputLayer(0); |
| 2701 | armnn::IConnectableLayer* const cellStateIn = network->AddInputLayer(1); |
| 2702 | armnn::IConnectableLayer* const outputStateIn = network->AddInputLayer(2); |
| 2703 | const std::string layerName("UnidirectionalSequenceLstm"); |
| 2704 | armnn::IConnectableLayer* const unidirectionalSequenceLstmLayer = |
| 2705 | network->AddUnidirectionalSequenceLstmLayer(descriptor, params, layerName.c_str()); |
| 2706 | armnn::IConnectableLayer* const outputLayer = network->AddOutputLayer(0); |
| 2707 | |
| 2708 | // connect up |
| 2709 | armnn::TensorInfo inputTensorInfo({ timeSize, batchSize, inputSize }, armnn::DataType::Float32); |
| 2710 | armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); |
| 2711 | armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2712 | armnn::TensorInfo outputStateOutTensorInfo({batchSize, timeSize, outputSize}, armnn::DataType::Float32); |
| 2713 | armnn::TensorInfo cellStateOutTensorInfo({batchSize, timeSize, outputSize}, armnn::DataType::Float32); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2714 | armnn::TensorInfo outputTensorInfo({ timeSize, batchSize, outputSize }, armnn::DataType::Float32); |
| 2715 | |
| 2716 | inputLayer->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(0)); |
| 2717 | inputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); |
| 2718 | |
| 2719 | outputStateIn->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(1)); |
| 2720 | outputStateIn->GetOutputSlot(0).SetTensorInfo(outputStateTensorInfo); |
| 2721 | |
| 2722 | cellStateIn->GetOutputSlot(0).Connect(unidirectionalSequenceLstmLayer->GetInputSlot(2)); |
| 2723 | cellStateIn->GetOutputSlot(0).SetTensorInfo(cellStateTensorInfo); |
| 2724 | |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2725 | unidirectionalSequenceLstmLayer->GetOutputSlot(0).SetTensorInfo(outputStateOutTensorInfo); |
| 2726 | unidirectionalSequenceLstmLayer->GetOutputSlot(1).SetTensorInfo(cellStateOutTensorInfo); |
| 2727 | unidirectionalSequenceLstmLayer->GetOutputSlot(2).Connect(outputLayer->GetInputSlot(0)); |
| 2728 | unidirectionalSequenceLstmLayer->GetOutputSlot(2).SetTensorInfo(outputTensorInfo); |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2729 | |
| 2730 | armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network)); |
| 2731 | CHECK(deserializedNetwork); |
| 2732 | |
| 2733 | VerifyLstmLayer<armnn::UnidirectionalSequenceLstmDescriptor> checker( |
| 2734 | layerName, |
| 2735 | {inputTensorInfo, outputStateTensorInfo, cellStateTensorInfo}, |
Mike Kelly | 1299496 | 2022-04-21 11:57:09 +0100 | [diff] [blame] | 2736 | {outputStateOutTensorInfo, cellStateOutTensorInfo, outputTensorInfo}, |
Narumol Prangnawarat | a0162e1 | 2021-07-23 14:47:49 +0100 | [diff] [blame] | 2737 | descriptor, |
| 2738 | params); |
| 2739 | deserializedNetwork->ExecuteStrategy(checker); |
| 2740 | } |
| 2741 | |
Sadik Armagan | 1625efc | 2021-06-10 18:24:34 +0100 | [diff] [blame] | 2742 | } |