| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "Serializer.hpp" |
| #include "SerializerUtils.hpp" |
| |
| #include <armnn/Descriptors.hpp> |
| #include <armnn/LstmParams.hpp> |
| #include <armnn/QuantizedLstmParams.hpp> |
| #include <armnn/utility/IgnoreUnused.hpp> |
| #include <armnn/utility/NumericCast.hpp> |
| |
| #include <fmt/format.h> |
| #include <iostream> |
| |
| using namespace armnn; |
| namespace fb = flatbuffers; |
| namespace serializer = armnnSerializer; |
| |
| namespace armnnSerializer |
| { |
| |
| ISerializer::ISerializer() : pSerializerImpl(new SerializerImpl()) |
| { |
| } |
| |
| ISerializer::~ISerializer() = default; |
| |
| ISerializer* ISerializer::CreateRaw() |
| { |
| return new ISerializer(); |
| } |
| |
| ISerializerPtr ISerializer::Create() |
| { |
| return ISerializerPtr(CreateRaw(), &ISerializer::Destroy); |
| } |
| |
| void ISerializer::Destroy(ISerializer* serializer) |
| { |
| delete serializer; |
| } |
| |
| void ISerializer::Serialize(const armnn::INetwork& inNetwork) |
| { |
| pSerializerImpl->Serialize(inNetwork); |
| } |
| |
| bool ISerializer::SaveSerializedToStream(std::ostream& stream) |
| { |
| return pSerializerImpl->SaveSerializedToStream(stream); |
| } |
| |
| serializer::ActivationFunction GetFlatBufferActivationFunction(armnn::ActivationFunction function) |
| { |
| switch (function) |
| { |
| case armnn::ActivationFunction::Sigmoid: |
| return serializer::ActivationFunction::ActivationFunction_Sigmoid; |
| case armnn::ActivationFunction::TanH: |
| return serializer::ActivationFunction::ActivationFunction_TanH; |
| case armnn::ActivationFunction::Linear: |
| return serializer::ActivationFunction::ActivationFunction_Linear; |
| case armnn::ActivationFunction::ReLu: |
| return serializer::ActivationFunction::ActivationFunction_ReLu; |
| case armnn::ActivationFunction::BoundedReLu: |
| return serializer::ActivationFunction::ActivationFunction_BoundedReLu; |
| case armnn::ActivationFunction::LeakyReLu: |
| return serializer::ActivationFunction::ActivationFunction_LeakyReLu; |
| case armnn::ActivationFunction::Abs: |
| return serializer::ActivationFunction::ActivationFunction_Abs; |
| case armnn::ActivationFunction::Sqrt: |
| return serializer::ActivationFunction::ActivationFunction_Sqrt; |
| case armnn::ActivationFunction::Square: |
| return serializer::ActivationFunction::ActivationFunction_Square; |
| case armnn::ActivationFunction::Elu: |
| return serializer::ActivationFunction::ActivationFunction_Elu; |
| case armnn::ActivationFunction::HardSwish: |
| return serializer::ActivationFunction::ActivationFunction_HardSwish; |
| default: |
| return serializer::ActivationFunction::ActivationFunction_Sigmoid; |
| } |
| } |
| |
| serializer::ArgMinMaxFunction GetFlatBufferArgMinMaxFunction(armnn::ArgMinMaxFunction function) |
| { |
| switch (function) |
| { |
| case armnn::ArgMinMaxFunction::Max: |
| return serializer::ArgMinMaxFunction::ArgMinMaxFunction_Max; |
| case armnn::ArgMinMaxFunction::Min: |
| default: |
| return serializer::ArgMinMaxFunction::ArgMinMaxFunction_Min; |
| } |
| } |
| |
| uint32_t SerializerStrategy::GetSerializedId(LayerGuid guid) |
| { |
| if (m_guidMap.empty()) |
| { |
| m_guidMap.insert(std::make_pair(guid, m_layerId)); |
| } |
| else if (m_guidMap.find(guid) == m_guidMap.end()) |
| { |
| ++m_layerId; |
| m_guidMap.insert(std::make_pair(guid, m_layerId)); |
| |
| return m_layerId; |
| } |
| return m_guidMap[guid]; |
| } |
| |
| // Build FlatBuffer for Input Layer |
| void SerializerStrategy::SerializeInputLayer(const armnn::IConnectableLayer* layer, LayerBindingId id, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferInputBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Input); |
| |
| // Create FlatBuffer BindableBaseLayer |
| auto flatBufferInputBindableBaseLayer = serializer::CreateBindableLayerBase(m_flatBufferBuilder, |
| flatBufferInputBaseLayer, |
| id); |
| // Push layer binding id to outputIds. |
| m_inputIds.push_back(id); |
| |
| // Create the FlatBuffer InputLayer |
| auto flatBufferInputLayer = serializer::CreateInputLayer(m_flatBufferBuilder, flatBufferInputBindableBaseLayer); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferInputLayer.o, serializer::Layer::Layer_InputLayer); |
| } |
| |
| // Build FlatBuffer for Output Layer |
| void SerializerStrategy::SerializeOutputLayer(const armnn::IConnectableLayer* layer, |
| LayerBindingId id, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferOutputBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Output); |
| |
| // Create FlatBuffer BindableBaseLayer |
| auto flatBufferOutputBindableBaseLayer = serializer::CreateBindableLayerBase(m_flatBufferBuilder, |
| flatBufferOutputBaseLayer, |
| id); |
| // Push layer binding id to outputIds. |
| m_outputIds.push_back(id); |
| |
| // Create the FlatBuffer OutputLayer |
| auto flatBufferOutputLayer = serializer::CreateOutputLayer(m_flatBufferBuilder, flatBufferOutputBindableBaseLayer); |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferOutputLayer.o, serializer::Layer::Layer_OutputLayer); |
| } |
| |
| // Build FlatBuffer for Activation Layer |
| void SerializerStrategy::SerializeActivationLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ActivationDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Activation); |
| |
| // Create the FlatBuffer ActivationDescriptor |
| auto flatBufferDescriptor = CreateActivationDescriptor(m_flatBufferBuilder, |
| GetFlatBufferActivationFunction(descriptor.m_Function), |
| descriptor.m_A, |
| descriptor.m_B); |
| |
| // Create the FlatBuffer ActivationLayer |
| auto flatBufferAdditionLayer = CreateActivationLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferAdditionLayer.o, serializer::Layer::Layer_ActivationLayer); |
| } |
| |
| // Build FlatBuffer for Addition Layer |
| void SerializerStrategy::SerializeAdditionLayer(const armnn::IConnectableLayer* layer, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferAdditionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Addition); |
| |
| // Create the FlatBuffer AdditionLayer |
| auto flatBufferAdditionLayer = serializer::CreateAdditionLayer(m_flatBufferBuilder, flatBufferAdditionBaseLayer); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferAdditionLayer.o, serializer::Layer::Layer_AdditionLayer); |
| } |
| |
| // Build FlatBuffer for ArgMinMax Layer |
| void SerializerStrategy::SerializeArgMinMaxLayer(const armnn::IConnectableLayer *layer, |
| const armnn::ArgMinMaxDescriptor& descriptor, |
| const char *name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ArgMinMax); |
| |
| // Create FlatBuffer Descriptor |
| auto flatBufferDescriptor = CreateArgMinMaxDescriptor(m_flatBufferBuilder, |
| GetFlatBufferArgMinMaxFunction(descriptor.m_Function), |
| descriptor.m_Axis); |
| |
| // Create FlatBuffer ArgMinMaxLayer |
| auto flatBufferLayer = CreateArgMinMaxLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ArgMinMaxLayer); |
| } |
| |
| void SerializerStrategy::SerializeBatchMatMulLayer(const armnn::IConnectableLayer* layer, |
| const armnn::BatchMatMulDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchMatMul); |
| |
| // Create the FlatBuffer BatchMatMulDescriptor |
| auto flatBufferDescriptor = CreateBatchMatMulDescriptor(m_flatBufferBuilder, |
| descriptor.m_TransposeX, |
| descriptor.m_TransposeY, |
| descriptor.m_AdjointX, |
| descriptor.m_AdjointY, |
| GetFlatBufferDataLayout(descriptor.m_DataLayoutX), |
| GetFlatBufferDataLayout(descriptor.m_DataLayoutY)); |
| |
| // Create the FlatBuffer BatchMatMulLayer |
| auto flatBufferBatchMatMulLayer = CreateBatchMatMulLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferBatchMatMulLayer.o, serializer::Layer::Layer_BatchMatMulLayer); |
| } |
| |
| // Build FlatBuffer for BatchToSpaceNd Layer |
| void SerializerStrategy::SerializeBatchToSpaceNdLayer(const armnn::IConnectableLayer* layer, |
| const armnn::BatchToSpaceNdDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchToSpaceNd); |
| |
| std::vector<unsigned int> crops; |
| crops.reserve(descriptor.m_Crops.size() * 2); |
| for (auto& crop : descriptor.m_Crops) |
| { |
| crops.push_back(crop.first); |
| crops.push_back(crop.second); |
| } |
| |
| auto flatBufferDescriptor = |
| CreateBatchToSpaceNdDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(descriptor.m_BlockShape), |
| m_flatBufferBuilder.CreateVector(crops), |
| GetFlatBufferDataLayout(descriptor.m_DataLayout)); |
| |
| auto flatBufferLayer = serializer::CreateBatchToSpaceNdLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_BatchToSpaceNdLayer); |
| } |
| |
| void SerializerStrategy::SerializeBatchNormalizationLayer( |
| const armnn::IConnectableLayer* layer, |
| const armnn::BatchNormalizationDescriptor& batchNormDescriptor, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| const armnn::ConstTensor& mean = constants[0]; |
| const armnn::ConstTensor& variance = constants[1]; |
| const armnn::ConstTensor& beta = constants[2]; |
| const armnn::ConstTensor& gamma = constants[3]; |
| |
| auto fbBatchNormalizationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchNormalization); |
| auto fbBatchNormalizationDescriptor = serializer::CreateBatchNormalizationDescriptor( |
| m_flatBufferBuilder, |
| batchNormDescriptor.m_Eps, |
| GetFlatBufferDataLayout(batchNormDescriptor.m_DataLayout)); |
| |
| auto fbMeanConstTensorInfo = CreateConstTensorInfo(mean); |
| auto fbVarianceConstTensorInfo = CreateConstTensorInfo(variance); |
| auto fbBetaConstTensorInfo = CreateConstTensorInfo(beta); |
| auto fbGammaConstTensorInfo = CreateConstTensorInfo(gamma); |
| auto fbBatchNormalizationLayer = serializer::CreateBatchNormalizationLayer(m_flatBufferBuilder, |
| fbBatchNormalizationBaseLayer, |
| fbBatchNormalizationDescriptor, |
| fbMeanConstTensorInfo, |
| fbVarianceConstTensorInfo, |
| fbBetaConstTensorInfo, |
| fbGammaConstTensorInfo); |
| |
| CreateAnyLayer(fbBatchNormalizationLayer.o, serializer::Layer::Layer_BatchNormalizationLayer); |
| } |
| |
| void SerializerStrategy::SerializeCastLayer(const armnn::IConnectableLayer* layer, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Cast); |
| auto fbCastLayer = serializer::CreateCastLayer(m_flatBufferBuilder, fbBaseLayer); |
| CreateAnyLayer(fbCastLayer.o, serializer::Layer::Layer_CastLayer); |
| } |
| |
| void SerializerStrategy::SerializeChannelShuffleLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ChannelShuffleDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| auto fbDescriptor = CreateChannelShuffleDescriptor(m_flatBufferBuilder, |
| descriptor.m_Axis, |
| descriptor.m_NumGroups); |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ChannelShuffle); |
| auto fbChannelShuffleLayer = serializer::CreateChannelShuffleLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor); |
| CreateAnyLayer(fbChannelShuffleLayer.o, serializer::Layer::Layer_ChannelShuffleLayer); |
| } |
| |
| void SerializerStrategy::SerializeComparisonLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ComparisonDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Comparison); |
| auto fbDescriptor = serializer::CreateComparisonDescriptor( |
| m_flatBufferBuilder, |
| GetFlatBufferComparisonOperation(descriptor.m_Operation)); |
| |
| auto fbLayer = serializer::CreateComparisonLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor); |
| CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_ComparisonLayer); |
| } |
| |
| // Build FlatBuffer for Constant Layer |
| void SerializerStrategy::SerializeConstantLayer(const armnn::IConnectableLayer* layer, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| armnn::ConstTensor input = constants[0]; |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferConstantBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Constant); |
| |
| auto flatBufferConstTensorInfo = CreateConstTensorInfo(input); |
| |
| // Create the FlatBuffer ConstantLayer |
| auto flatBufferLayer = CreateConstantLayer(m_flatBufferBuilder, |
| flatBufferConstantBaseLayer, |
| flatBufferConstTensorInfo); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ConstantLayer); |
| } |
| |
| // Build FlatBuffer for Convolution2dLayer |
| void SerializerStrategy::SerializeConvolution2dLayer(const armnn::IConnectableLayer* layer, |
| const armnn::Convolution2dDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution2d); |
| |
| auto flatBufferDescriptor = CreateConvolution2dDescriptor(m_flatBufferBuilder, |
| descriptor.m_PadLeft, |
| descriptor.m_PadRight, |
| descriptor.m_PadTop, |
| descriptor.m_PadBottom, |
| descriptor.m_StrideX, |
| descriptor.m_StrideY, |
| descriptor.m_DilationX, |
| descriptor.m_DilationY, |
| descriptor.m_BiasEnabled, |
| GetFlatBufferDataLayout(descriptor.m_DataLayout)); |
| |
| // Create the FlatBuffer Convolution2dLayer |
| auto flatBufferLayer = CreateConvolution2dLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_Convolution2dLayer); |
| } |
| |
| // Build FlatBuffer for Convolution3dLayer |
| void SerializerStrategy::SerializeConvolution3dLayer(const armnn::IConnectableLayer* layer, |
| const armnn::Convolution3dDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution3d); |
| |
| auto flatBufferDescriptor = CreateConvolution3dDescriptor(m_flatBufferBuilder, |
| descriptor.m_PadLeft, |
| descriptor.m_PadRight, |
| descriptor.m_PadTop, |
| descriptor.m_PadBottom, |
| descriptor.m_PadFront, |
| descriptor.m_PadBack, |
| descriptor.m_StrideX, |
| descriptor.m_StrideY, |
| descriptor.m_StrideZ, |
| descriptor.m_DilationX, |
| descriptor.m_DilationY, |
| descriptor.m_DilationZ, |
| descriptor.m_BiasEnabled, |
| GetFlatBufferDataLayout(descriptor.m_DataLayout)); |
| |
| // Create the FlatBuffer Convolution3dLayer |
| auto flatBufferLayer = CreateConvolution3dLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_Convolution3dLayer); |
| } |
| |
| void SerializerStrategy::SerializeDepthToSpaceLayer(const armnn::IConnectableLayer* layer, |
| const armnn::DepthToSpaceDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DepthToSpace); |
| auto fbDescriptor = CreateDepthToSpaceDescriptor(m_flatBufferBuilder, |
| descriptor.m_BlockSize, |
| GetFlatBufferDataLayout(descriptor.m_DataLayout)); |
| |
| auto fbLayer = serializer::CreateDepthToSpaceLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor); |
| |
| CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_DepthToSpaceLayer); |
| } |
| |
| void SerializerStrategy::SerializeDepthwiseConvolution2dLayer(const armnn::IConnectableLayer* layer, |
| const armnn::DepthwiseConvolution2dDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DepthwiseConvolution2d); |
| auto fbDescriptor = CreateDepthwiseConvolution2dDescriptor(m_flatBufferBuilder, |
| descriptor.m_PadLeft, |
| descriptor.m_PadRight, |
| descriptor.m_PadTop, |
| descriptor.m_PadBottom, |
| descriptor.m_StrideX, |
| descriptor.m_StrideY, |
| descriptor.m_DilationX, |
| descriptor.m_DilationY, |
| descriptor.m_BiasEnabled, |
| GetFlatBufferDataLayout(descriptor.m_DataLayout)); |
| |
| auto flatBufferLayer = CreateDepthwiseConvolution2dLayer(m_flatBufferBuilder, |
| fbBaseLayer, |
| fbDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_DepthwiseConvolution2dLayer); |
| } |
| |
| void SerializerStrategy::SerializeDequantizeLayer(const armnn::IConnectableLayer* layer, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbDequantizeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Dequantize); |
| auto fbDequantizeLayer = serializer::CreateDequantizeLayer(m_flatBufferBuilder, fbDequantizeBaseLayer); |
| |
| CreateAnyLayer(fbDequantizeLayer.o, serializer::Layer::Layer_DequantizeLayer); |
| } |
| |
| void SerializerStrategy::SerializeDetectionPostProcessLayer(const armnn::IConnectableLayer* layer, |
| const armnn::DetectionPostProcessDescriptor& descriptor, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| const armnn::ConstTensor& anchors = constants[0]; |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DetectionPostProcess); |
| auto fbDescriptor = CreateDetectionPostProcessDescriptor(m_flatBufferBuilder, |
| descriptor.m_MaxDetections, |
| descriptor.m_MaxClassesPerDetection, |
| descriptor.m_DetectionsPerClass, |
| descriptor.m_NmsScoreThreshold, |
| descriptor.m_NmsIouThreshold, |
| descriptor.m_NumClasses, |
| descriptor.m_UseRegularNms, |
| descriptor.m_ScaleX, |
| descriptor.m_ScaleY, |
| descriptor.m_ScaleW, |
| descriptor.m_ScaleH); |
| |
| flatbuffers::Offset<serializer::ConstTensor> fbAnchorsConstTensorInfo = CreateConstTensorInfo(anchors); |
| |
| auto flatBufferLayer = CreateDetectionPostProcessLayer(m_flatBufferBuilder, |
| fbBaseLayer, |
| fbDescriptor, |
| fbAnchorsConstTensorInfo); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_DetectionPostProcessLayer); |
| } |
| |
| void SerializerStrategy::SerializeDivisionLayer(const armnn::IConnectableLayer* layer, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbDivisionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Division); |
| auto fbDivisionLayer = serializer::CreateDivisionLayer(m_flatBufferBuilder, fbDivisionBaseLayer); |
| |
| CreateAnyLayer(fbDivisionLayer.o, serializer::Layer::Layer_DivisionLayer); |
| } |
| |
| void SerializerStrategy::SerializeElementwiseUnaryLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ElementwiseUnaryDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_ElementwiseUnary); |
| auto fbDescriptor = serializer::CreateElementwiseUnaryDescriptor( |
| m_flatBufferBuilder, |
| GetFlatBufferUnaryOperation(descriptor.m_Operation)); |
| |
| auto fbLayer = serializer::CreateElementwiseUnaryLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor); |
| CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_ElementwiseUnaryLayer); |
| } |
| |
| void SerializerStrategy::SerializeFillLayer(const armnn::IConnectableLayer* layer, |
| const armnn::FillDescriptor& fillDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbFillBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Fill); |
| |
| auto fbDescriptor = serializer::CreateFillDescriptor(m_flatBufferBuilder, fillDescriptor.m_Value); |
| |
| auto fbFillLayer = serializer::CreateFillLayer(m_flatBufferBuilder, fbFillBaseLayer, fbDescriptor); |
| |
| CreateAnyLayer(fbFillLayer.o, serializer::Layer::Layer_FillLayer); |
| } |
| |
| void SerializerStrategy::SerializeFloorLayer(const armnn::IConnectableLayer *layer, const char *name) |
| { |
| IgnoreUnused(name); |
| |
| auto flatBufferFloorBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Floor); |
| auto flatBufferFloorLayer = serializer::CreateFloorLayer(m_flatBufferBuilder, flatBufferFloorBaseLayer); |
| |
| CreateAnyLayer(flatBufferFloorLayer.o, serializer::Layer::Layer_FloorLayer); |
| } |
| |
| void SerializerStrategy::SerializeGatherLayer(const armnn::IConnectableLayer* layer, |
| const armnn::GatherDescriptor& gatherDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbGatherDescriptor = CreateGatherDescriptor(m_flatBufferBuilder, |
| gatherDescriptor.m_Axis); |
| auto fbGatherBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Gather); |
| auto flatBufferLayer = serializer::CreateGatherLayer(m_flatBufferBuilder, fbGatherBaseLayer, fbGatherDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_GatherLayer); |
| } |
| |
| void SerializerStrategy::SerializeGatherNdLayer(const armnn::IConnectableLayer* layer, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbGatherNdBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_GatherNd); |
| auto flatBufferLayer = serializer::CreateGatherNdLayer(m_flatBufferBuilder, fbGatherNdBaseLayer); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_GatherNdLayer); |
| } |
| |
| void SerializerStrategy::SerializeInstanceNormalizationLayer( |
| const armnn::IConnectableLayer* layer, |
| const armnn::InstanceNormalizationDescriptor& instanceNormalizationDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbDescriptor = serializer::CreateInstanceNormalizationDescriptor( |
| m_flatBufferBuilder, |
| instanceNormalizationDescriptor.m_Gamma, |
| instanceNormalizationDescriptor.m_Beta, |
| instanceNormalizationDescriptor.m_Eps, |
| GetFlatBufferDataLayout(instanceNormalizationDescriptor.m_DataLayout)); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_InstanceNormalization); |
| auto fbLayer = serializer::CreateInstanceNormalizationLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor); |
| |
| CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_InstanceNormalizationLayer); |
| } |
| |
| void SerializerStrategy::SerializeL2NormalizationLayer(const armnn::IConnectableLayer* layer, |
| const armnn::L2NormalizationDescriptor& l2NormalizationDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_L2Normalization); |
| |
| // Create the FlatBuffer L2Normalization Descriptor |
| auto fbDescriptor = serializer::CreateL2NormalizationDescriptor( |
| m_flatBufferBuilder, |
| GetFlatBufferDataLayout(l2NormalizationDescriptor.m_DataLayout), |
| l2NormalizationDescriptor.m_Eps); |
| |
| // Create FlatBuffer layer |
| auto fbLayer = serializer::CreateL2NormalizationLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor); |
| |
| CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_L2NormalizationLayer); |
| } |
| |
| void SerializerStrategy::SerializeLogicalBinaryLayer(const armnn::IConnectableLayer* layer, |
| const armnn::LogicalBinaryDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_LogicalBinary); |
| auto fbDescriptor = serializer::CreateLogicalBinaryDescriptor( |
| m_flatBufferBuilder, |
| GetFlatBufferLogicalBinaryOperation(descriptor.m_Operation)); |
| |
| auto fbLayer = serializer::CreateLogicalBinaryLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor); |
| CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_LogicalBinaryLayer); |
| } |
| |
| void SerializerStrategy::SerializeLogSoftmaxLayer(const armnn::IConnectableLayer* layer, |
| const armnn::LogSoftmaxDescriptor& logSoftmaxDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferLogSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_LogSoftmax); |
| |
| // Create the FlatBuffer LogSoftmaxDescriptor |
| auto flatBufferLogSoftmaxDesc = |
| serializer::CreateLogSoftmaxDescriptor(m_flatBufferBuilder, |
| logSoftmaxDescriptor.m_Beta, |
| logSoftmaxDescriptor.m_Axis); |
| |
| // Create the FlatBuffer LogSoftmaxLayer |
| auto flatBufferLogSoftmaxLayer = |
| serializer::CreateLogSoftmaxLayer(m_flatBufferBuilder, |
| flatBufferLogSoftmaxBaseLayer, |
| flatBufferLogSoftmaxDesc); |
| |
| CreateAnyLayer(flatBufferLogSoftmaxLayer.o, serializer::Layer::Layer_LogSoftmaxLayer); |
| } |
| |
| void SerializerStrategy::SerializeLstmLayer(const armnn::IConnectableLayer* layer, |
| const armnn::LstmDescriptor& descriptor, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbLstmBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Lstm); |
| |
| auto fbLstmDescriptor = serializer::CreateLstmDescriptor( |
| m_flatBufferBuilder, |
| descriptor.m_ActivationFunc, |
| descriptor.m_ClippingThresCell, |
| descriptor.m_ClippingThresProj, |
| descriptor.m_CifgEnabled, |
| descriptor.m_PeepholeEnabled, |
| descriptor.m_ProjectionEnabled, |
| descriptor.m_LayerNormEnabled); |
| |
| // Index for constants vector |
| std::size_t i = 0; |
| |
| // Get mandatory/basic input parameters |
| auto inputToForgetWeights = CreateConstTensorInfo(constants[i++]); //InputToForgetWeights |
| auto inputToCellWeights = CreateConstTensorInfo(constants[i++]); //InputToCellWeights |
| auto inputToOutputWeights = CreateConstTensorInfo(constants[i++]); //InputToOutputWeights |
| auto recurrentToForgetWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToForgetWeights |
| auto recurrentToCellWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToCellWeights |
| auto recurrentToOutputWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToOutputWeights |
| auto forgetGateBias = CreateConstTensorInfo(constants[i++]); //ForgetGateBias |
| auto cellBias = CreateConstTensorInfo(constants[i++]); //CellBias |
| auto outputGateBias = CreateConstTensorInfo(constants[i++]); //OutputGateBias |
| |
| |
| |
| //Define optional parameters, these will be set depending on configuration in Lstm descriptor |
| flatbuffers::Offset<serializer::ConstTensor> inputToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> recurrentToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> inputGateBias; |
| flatbuffers::Offset<serializer::ConstTensor> projectionWeights; |
| flatbuffers::Offset<serializer::ConstTensor> projectionBias; |
| flatbuffers::Offset<serializer::ConstTensor> cellToForgetWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellToOutputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> inputLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> forgetLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> outputLayerNormWeights; |
| |
| if (!descriptor.m_CifgEnabled) |
| { |
| inputToInputWeights = CreateConstTensorInfo(constants[i++]); //InputToInputWeights |
| recurrentToInputWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToInputWeights |
| inputGateBias = CreateConstTensorInfo(constants[i++]); //InputGateBias |
| } |
| |
| if (descriptor.m_PeepholeEnabled) |
| { |
| if (!descriptor.m_CifgEnabled) |
| { |
| cellToInputWeights = CreateConstTensorInfo(constants[i++]); //CellToInputWeights |
| } |
| cellToForgetWeights = CreateConstTensorInfo(constants[i++]); //CellToForgetWeights |
| cellToOutputWeights = CreateConstTensorInfo(constants[i++]); //CellToOutputWeights |
| } |
| |
| if (descriptor.m_ProjectionEnabled) |
| { |
| projectionWeights = CreateConstTensorInfo(constants[i++]); //ProjectionWeights |
| projectionBias = CreateConstTensorInfo(constants[i++]); //ProjectionBias |
| } |
| |
| if (descriptor.m_LayerNormEnabled) |
| { |
| if (!descriptor.m_CifgEnabled) |
| { |
| inputLayerNormWeights = CreateConstTensorInfo(constants[i++]); //InputLayerNormWeights |
| } |
| forgetLayerNormWeights = CreateConstTensorInfo(constants[i++]); //ForgetLayerNormWeights |
| cellLayerNormWeights = CreateConstTensorInfo(constants[i++]); //CellLayerNormWeights |
| outputLayerNormWeights = CreateConstTensorInfo(constants[i++]); //OutputLayerNormWeights |
| } |
| |
| auto fbLstmParams = serializer::CreateLstmInputParams( |
| m_flatBufferBuilder, |
| inputToForgetWeights, |
| inputToCellWeights, |
| inputToOutputWeights, |
| recurrentToForgetWeights, |
| recurrentToCellWeights, |
| recurrentToOutputWeights, |
| forgetGateBias, |
| cellBias, |
| outputGateBias, |
| inputToInputWeights, |
| recurrentToInputWeights, |
| cellToInputWeights, |
| inputGateBias, |
| projectionWeights, |
| projectionBias, |
| cellToForgetWeights, |
| cellToOutputWeights, |
| inputLayerNormWeights, |
| forgetLayerNormWeights, |
| cellLayerNormWeights, |
| outputLayerNormWeights); |
| |
| auto fbLstmLayer = serializer::CreateLstmLayer( |
| m_flatBufferBuilder, |
| fbLstmBaseLayer, |
| fbLstmDescriptor, |
| fbLstmParams); |
| |
| CreateAnyLayer(fbLstmLayer.o, serializer::Layer::Layer_LstmLayer); |
| } |
| |
| void SerializerStrategy::SerializeMaximumLayer(const armnn::IConnectableLayer* layer, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbMaximumBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Maximum); |
| auto fbMaximumLayer = serializer::CreateMaximumLayer(m_flatBufferBuilder, fbMaximumBaseLayer); |
| |
| CreateAnyLayer(fbMaximumLayer.o, serializer::Layer::Layer_MaximumLayer); |
| } |
| |
| void SerializerStrategy::SerializeMeanLayer(const armnn::IConnectableLayer* layer, |
| const armnn::MeanDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbMeanBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Mean); |
| auto fbMeanDescriptor = serializer::CreateMeanDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(descriptor.m_Axis), |
| descriptor.m_KeepDims); |
| |
| auto fbMeanLayer = serializer::CreateMeanLayer(m_flatBufferBuilder, |
| fbMeanBaseLayer, |
| fbMeanDescriptor); |
| |
| CreateAnyLayer(fbMeanLayer.o, serializer::Layer::Layer_MeanLayer); |
| } |
| |
| void SerializerStrategy::SerializeMinimumLayer(const armnn::IConnectableLayer* layer, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbMinimumBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Minimum); |
| auto fbMinimumLayer = serializer::CreateMinimumLayer(m_flatBufferBuilder, fbMinimumBaseLayer); |
| |
| CreateAnyLayer(fbMinimumLayer.o, serializer::Layer::Layer_MinimumLayer); |
| } |
| |
| void SerializerStrategy::SerializeMergeLayer(const armnn::IConnectableLayer* layer, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbMergeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Merge); |
| auto fbMergeLayer = serializer::CreateMergeLayer(m_flatBufferBuilder, fbMergeBaseLayer); |
| |
| CreateAnyLayer(fbMergeLayer.o, serializer::Layer::Layer_MergeLayer); |
| } |
| |
| void SerializerStrategy::SerializeConcatLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ConcatDescriptor& concatDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto flatBufferConcatBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Concat); |
| |
| std::vector<flatbuffers::Offset<UintVector>> views; |
| for (unsigned int v = 0; v < concatDescriptor.GetNumViews(); ++v) |
| { |
| const uint32_t* origin = concatDescriptor.GetViewOrigin(v); |
| std::vector<uint32_t> origins; |
| for (unsigned int d = 0; d < concatDescriptor.GetNumDimensions(); ++d) |
| { |
| origins.push_back(origin[d]); |
| } |
| auto view = m_flatBufferBuilder.CreateVector(origins); |
| auto uintVector = CreateUintVector(m_flatBufferBuilder, view); |
| views.push_back(uintVector); |
| } |
| |
| auto flatBufferConcatDescriptor = CreateOriginsDescriptor(m_flatBufferBuilder, |
| concatDescriptor.GetConcatAxis(), |
| concatDescriptor.GetNumViews(), |
| concatDescriptor.GetNumDimensions(), |
| m_flatBufferBuilder.CreateVector(views)); |
| |
| auto flatBufferLayer = CreateConcatLayer(m_flatBufferBuilder, |
| flatBufferConcatBaseLayer, |
| flatBufferConcatDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ConcatLayer); |
| } |
| |
| void SerializerStrategy::SerializeMultiplicationLayer(const armnn::IConnectableLayer* layer, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbMultiplicationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Multiplication); |
| auto fbMultiplicationLayer = serializer::CreateMultiplicationLayer(m_flatBufferBuilder, |
| fbMultiplicationBaseLayer); |
| |
| CreateAnyLayer(fbMultiplicationLayer.o, serializer::Layer::Layer_MultiplicationLayer); |
| } |
| |
| void SerializerStrategy::SerializePadLayer(const armnn::IConnectableLayer* layer, |
| const armnn::PadDescriptor& padDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pad); |
| |
| std::vector<unsigned int> padList; |
| for (auto& p: padDescriptor.m_PadList) |
| { |
| padList.push_back(p.first); |
| padList.push_back(p.second); |
| } |
| |
| auto flatBufferPadDesc = serializer::CreatePadDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(padList), |
| padDescriptor.m_PadValue, |
| GetFlatBufferPaddingMode(padDescriptor.m_PaddingMode)); |
| |
| auto flatBufferPadLayer = serializer::CreatePadLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferPadDesc); |
| |
| CreateAnyLayer(flatBufferPadLayer.o, serializer::Layer::Layer_PadLayer); |
| } |
| |
| void SerializerStrategy::SerializePermuteLayer(const armnn::IConnectableLayer* layer, |
| const armnn::PermuteDescriptor& permuteDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferPermuteBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Permute); |
| |
| std::vector<unsigned int> dimMappings; |
| for (unsigned int i=0; i<permuteDescriptor.m_DimMappings.GetSize(); ++i) |
| { |
| dimMappings.push_back(permuteDescriptor.m_DimMappings[i]); |
| } |
| |
| auto flatBufferPermuteDesc = serializer::CreatePermuteDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(dimMappings)); |
| |
| // Create the FlatBuffer PermuteLayer |
| auto flatBufferPermuteLayer = serializer::CreatePermuteLayer(m_flatBufferBuilder, |
| flatBufferPermuteBaseLayer, |
| flatBufferPermuteDesc); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferPermuteLayer.o, serializer::Layer::Layer_PermuteLayer); |
| } |
| |
| // Build FlatBuffer for Rank Layer |
| void SerializerStrategy::SerializeRankLayer(const armnn::IConnectableLayer* layer, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Rank); |
| auto flatBufferRankLayer = serializer::CreateRankLayer(m_flatBufferBuilder, flatBufferBaseLayer); |
| |
| CreateAnyLayer(flatBufferRankLayer.o, serializer::Layer::Layer_RankLayer); |
| } |
| |
| void SerializerStrategy::SerializeReduceLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ReduceDescriptor& reduceDescriptor, |
| const char*) |
| { |
| auto fbReduceBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Reduce); |
| auto fbDescriptor = CreateReduceDescriptor(m_flatBufferBuilder, |
| reduceDescriptor.m_KeepDims, |
| m_flatBufferBuilder.CreateVector(reduceDescriptor.m_vAxis), |
| GetFlatBufferReduceOperation(reduceDescriptor.m_ReduceOperation)); |
| auto fbReduceLayer = serializer::CreateReduceLayer(m_flatBufferBuilder, |
| fbReduceBaseLayer, |
| fbDescriptor); |
| |
| CreateAnyLayer(fbReduceLayer.o, serializer::Layer::Layer_ReduceLayer); |
| } |
| |
| // Build FlatBuffer for Reshape Layer |
| void SerializerStrategy::SerializeReshapeLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ReshapeDescriptor& reshapeDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferReshapeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Reshape); |
| |
| std::vector<unsigned int> targetShape; |
| for (unsigned int i =0; i < reshapeDescriptor.m_TargetShape.GetNumDimensions(); i++) |
| { |
| targetShape.push_back(reshapeDescriptor.m_TargetShape[i]); |
| } |
| |
| auto flatBufferReshapeDesc = serializer::CreateReshapeDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(targetShape)); |
| |
| // Create the FlatBuffer ReshapeLayer |
| auto flatBufferReshapeLayer = serializer::CreateReshapeLayer(m_flatBufferBuilder, flatBufferReshapeBaseLayer, |
| flatBufferReshapeDesc); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferReshapeLayer.o, serializer::Layer::Layer_ReshapeLayer); |
| } |
| |
| void SerializerStrategy::SerializeResizeLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ResizeDescriptor& resizeDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Resize); |
| |
| auto flatBufferDescriptor = |
| CreateResizeDescriptor(m_flatBufferBuilder, |
| resizeDescriptor.m_TargetHeight, |
| resizeDescriptor.m_TargetWidth, |
| GetFlatBufferResizeMethod(resizeDescriptor.m_Method), |
| GetFlatBufferDataLayout(resizeDescriptor.m_DataLayout), |
| resizeDescriptor.m_AlignCorners, |
| resizeDescriptor.m_HalfPixelCenters); |
| |
| auto flatBufferLayer = serializer::CreateResizeLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ResizeLayer); |
| } |
| |
| void SerializerStrategy::SerializeSliceLayer(const armnn::IConnectableLayer* layer, |
| const armnn::SliceDescriptor& sliceDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbSliceBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Slice); |
| auto fbSliceDescriptor = CreateSliceDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(sliceDescriptor.m_Begin), |
| m_flatBufferBuilder.CreateVector(sliceDescriptor.m_Size)); |
| |
| auto fbSliceLayer = serializer::CreateSliceLayer(m_flatBufferBuilder, fbSliceBaseLayer, fbSliceDescriptor); |
| |
| CreateAnyLayer(fbSliceLayer.o, serializer::Layer::Layer_SliceLayer); |
| } |
| |
| // Build FlatBuffer for Softmax Layer |
| void SerializerStrategy::SerializeSoftmaxLayer(const armnn::IConnectableLayer* layer, |
| const armnn::SoftmaxDescriptor& softmaxDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Softmax); |
| |
| // Create the FlatBuffer SoftmaxDescriptor |
| auto flatBufferSoftmaxDesc = |
| serializer::CreateSoftmaxDescriptor(m_flatBufferBuilder, |
| softmaxDescriptor.m_Beta, |
| softmaxDescriptor.m_Axis); |
| |
| // Create the FlatBuffer SoftmaxLayer |
| auto flatBufferSoftmaxLayer = |
| serializer::CreateSoftmaxLayer(m_flatBufferBuilder, |
| flatBufferSoftmaxBaseLayer, |
| flatBufferSoftmaxDesc); |
| |
| CreateAnyLayer(flatBufferSoftmaxLayer.o, serializer::Layer::Layer_SoftmaxLayer); |
| } |
| |
| void SerializerStrategy::SerializePooling2dLayer(const armnn::IConnectableLayer* layer, |
| const armnn::Pooling2dDescriptor& pooling2dDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbPooling2dBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pooling2d); |
| auto fbPooling2dDescriptor = serializer::CreatePooling2dDescriptor( |
| m_flatBufferBuilder, |
| GetFlatBufferPoolingAlgorithm(pooling2dDescriptor.m_PoolType), |
| pooling2dDescriptor.m_PadLeft, |
| pooling2dDescriptor.m_PadRight, |
| pooling2dDescriptor.m_PadTop, |
| pooling2dDescriptor.m_PadBottom, |
| pooling2dDescriptor.m_PoolWidth, |
| pooling2dDescriptor.m_PoolHeight, |
| pooling2dDescriptor.m_StrideX, |
| pooling2dDescriptor.m_StrideY, |
| GetFlatBufferOutputShapeRounding(pooling2dDescriptor.m_OutputShapeRounding), |
| GetFlatBufferPaddingMethod(pooling2dDescriptor.m_PaddingMethod), |
| GetFlatBufferDataLayout(pooling2dDescriptor.m_DataLayout)); |
| |
| auto fbPooling2dLayer = serializer::CreatePooling2dLayer(m_flatBufferBuilder, |
| fbPooling2dBaseLayer, |
| fbPooling2dDescriptor); |
| |
| CreateAnyLayer(fbPooling2dLayer.o, serializer::Layer::Layer_Pooling2dLayer); |
| } |
| |
| void SerializerStrategy::SerializePooling3dLayer(const armnn::IConnectableLayer* layer, |
| const armnn::Pooling3dDescriptor& pooling3dDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbPooling3dBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pooling3d); |
| auto fbPooling3dDescriptor = serializer::CreatePooling3dDescriptor( |
| m_flatBufferBuilder, |
| GetFlatBufferPoolingAlgorithm(pooling3dDescriptor.m_PoolType), |
| pooling3dDescriptor.m_PadLeft, |
| pooling3dDescriptor.m_PadRight, |
| pooling3dDescriptor.m_PadTop, |
| pooling3dDescriptor.m_PadBottom, |
| pooling3dDescriptor.m_PadFront, |
| pooling3dDescriptor.m_PadBack, |
| pooling3dDescriptor.m_PoolWidth, |
| pooling3dDescriptor.m_PoolHeight, |
| pooling3dDescriptor.m_PoolDepth, |
| pooling3dDescriptor.m_StrideX, |
| pooling3dDescriptor.m_StrideY, |
| pooling3dDescriptor.m_StrideZ, |
| GetFlatBufferOutputShapeRounding(pooling3dDescriptor.m_OutputShapeRounding), |
| GetFlatBufferPaddingMethod(pooling3dDescriptor.m_PaddingMethod), |
| GetFlatBufferDataLayout(pooling3dDescriptor.m_DataLayout)); |
| |
| auto fbPooling3dLayer = serializer::CreatePooling3dLayer(m_flatBufferBuilder, |
| fbPooling3dBaseLayer, |
| fbPooling3dDescriptor); |
| |
| CreateAnyLayer(fbPooling3dLayer.o, serializer::Layer::Layer_Pooling3dLayer); |
| } |
| |
| void SerializerStrategy::SerializePreluLayer(const armnn::IConnectableLayer* layer, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferPreluBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Prelu); |
| |
| // Create the FlatBuffer AdditionLayer |
| auto flatBufferPreluLayer = serializer::CreatePreluLayer(m_flatBufferBuilder, flatBufferPreluBaseLayer); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferPreluLayer.o, serializer::Layer::Layer_PreluLayer); |
| } |
| |
| void SerializerStrategy::SerializeQuantizeLayer(const armnn::IConnectableLayer *layer, const char *name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbQuantizeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Quantize); |
| auto fbQuantizeLayer = serializer::CreateQuantizeLayer(m_flatBufferBuilder, |
| fbQuantizeBaseLayer); |
| CreateAnyLayer(fbQuantizeLayer.o, serializer::Layer::Layer_QuantizeLayer); |
| } |
| |
| // Build FlatBuffer for FullyConnected Layer |
| void SerializerStrategy::SerializeFullyConnectedLayer(const armnn::IConnectableLayer* layer, |
| const armnn::FullyConnectedDescriptor& fullyConnectedDescriptor, |
| const char*) |
| { |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_FullyConnected); |
| |
| // Create FlatBuffer FullyConnectedDescriptor |
| auto flatBufferDescriptor = |
| serializer::CreateFullyConnectedDescriptor(m_flatBufferBuilder, |
| fullyConnectedDescriptor.m_BiasEnabled, |
| fullyConnectedDescriptor.m_TransposeWeightMatrix, |
| fullyConnectedDescriptor.m_ConstantWeights); |
| |
| // Create FlatBuffer FullyConnectedLayer |
| auto flatBufferLayer = serializer::CreateFullyConnectedLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| // Add created FullyConnectedLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_FullyConnectedLayer); |
| } |
| |
| // Build FlatBuffer for SpaceToBatchNd Layer |
| void SerializerStrategy::SerializeSpaceToBatchNdLayer(const armnn::IConnectableLayer* layer, |
| const armnn::SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToBatchNd); |
| |
| std::vector<unsigned int> padList; |
| padList.reserve(spaceToBatchNdDescriptor.m_PadList.size()*2); |
| for (auto& pad : spaceToBatchNdDescriptor.m_PadList) |
| { |
| padList.push_back(pad.first); |
| padList.push_back(pad.second); |
| } |
| |
| auto flatBufferDescriptor = |
| CreateSpaceToBatchNdDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(spaceToBatchNdDescriptor.m_BlockShape), |
| m_flatBufferBuilder.CreateVector(padList), |
| GetFlatBufferDataLayout(spaceToBatchNdDescriptor.m_DataLayout)); |
| |
| auto flatBufferLayer = serializer::CreateSpaceToBatchNdLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToBatchNdLayer); |
| } |
| |
| // Build FlatBuffer for SpaceToDepthLayer |
| void SerializerStrategy::SerializeSpaceToDepthLayer(const armnn::IConnectableLayer* layer, |
| const armnn::SpaceToDepthDescriptor& spaceToDepthDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToDepth); |
| auto flatBufferDescriptor = |
| CreateSpaceToDepthDescriptor(m_flatBufferBuilder, |
| spaceToDepthDescriptor.m_BlockSize, |
| GetFlatBufferDataLayout(spaceToDepthDescriptor.m_DataLayout)); |
| |
| auto flatBufferLayer = serializer::CreateSpaceToDepthLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToDepthLayer); |
| } |
| |
| // Build FlatBuffer for Splitter Layer |
| void SerializerStrategy::SerializeSplitterLayer(const armnn::IConnectableLayer* layer, |
| const armnn::ViewsDescriptor& viewsDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer ViewOrigins |
| std::vector<flatbuffers::Offset<UintVector>> flatBufferViewOrigins; |
| flatBufferViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| |
| for(unsigned int vIdx = 0; vIdx < viewsDescriptor.GetNumViews(); ++vIdx) |
| { |
| std::vector<uint32_t> viewOrigin; |
| viewOrigin.reserve(viewsDescriptor.GetNumDimensions()); |
| |
| // Copy vector |
| for(unsigned int dIdx = 0; dIdx < viewsDescriptor.GetNumDimensions(); ++dIdx) |
| { |
| viewOrigin.push_back(viewsDescriptor.GetViewOrigin(vIdx)[dIdx]); |
| } |
| |
| flatBufferViewOrigins.push_back(CreateUintVector(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(viewOrigin))); |
| } |
| |
| // Create FlatBuffer OriginsDescriptor |
| auto flatBufferOriginDescriptor = CreateOriginsDescriptor(m_flatBufferBuilder, |
| viewsDescriptor.GetOrigins().GetConcatAxis(), |
| viewsDescriptor.GetOrigins().GetNumViews(), |
| viewsDescriptor.GetOrigins().GetNumDimensions(), |
| m_flatBufferBuilder.CreateVector(flatBufferViewOrigins)); |
| |
| // Create FlatBuffer ViewOrigins |
| std::vector<flatbuffers::Offset<UintVector>> flatBufferViewSizes; |
| flatBufferViewSizes.reserve(viewsDescriptor.GetNumViews()); |
| |
| for(unsigned int vIdx = 0; vIdx < viewsDescriptor.GetNumViews(); ++vIdx) |
| { |
| std::vector<uint32_t> viewSize; |
| viewSize.reserve(viewsDescriptor.GetNumDimensions()); |
| |
| // Copy vector |
| for(unsigned int dIdx = 0; dIdx < viewsDescriptor.GetNumDimensions(); ++dIdx) |
| { |
| viewSize.push_back(viewsDescriptor.GetViewSizes(vIdx)[dIdx]); |
| } |
| |
| flatBufferViewSizes.push_back(CreateUintVector(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(viewSize))); |
| } |
| |
| // Create FlatBuffer ViewsDescriptor |
| auto flatBufferViewsDescriptor = CreateViewsDescriptor(m_flatBufferBuilder, |
| flatBufferOriginDescriptor, |
| m_flatBufferBuilder.CreateVector(flatBufferViewSizes)); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Splitter); |
| |
| auto flatBufferSplitterLayer = serializer::CreateSplitterLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferViewsDescriptor); |
| |
| CreateAnyLayer(flatBufferSplitterLayer.o, serializer::Layer::Layer_SplitterLayer); |
| } |
| |
| void SerializerStrategy::SerializeNormalizationLayer(const armnn::IConnectableLayer* layer, |
| const armnn::NormalizationDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbNormalizationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Normalization); |
| |
| auto fbNormalizationDescriptor = serializer::CreateNormalizationDescriptor( |
| m_flatBufferBuilder, |
| GetFlatBufferNormalizationAlgorithmChannel(descriptor.m_NormChannelType), |
| GetFlatBufferNormalizationAlgorithmMethod(descriptor.m_NormMethodType), |
| descriptor.m_NormSize, |
| descriptor.m_Alpha, |
| descriptor.m_Beta, |
| descriptor.m_K, |
| GetFlatBufferDataLayout(descriptor.m_DataLayout)); |
| |
| auto flatBufferLayer = serializer::CreateNormalizationLayer(m_flatBufferBuilder, |
| fbNormalizationBaseLayer, |
| fbNormalizationDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_NormalizationLayer); |
| } |
| |
| void SerializerStrategy::SerializeShapeLayer(const armnn::IConnectableLayer* layer, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto shapeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Shape); |
| auto shapeLayer = serializer::CreateShapeLayer(m_flatBufferBuilder, shapeBaseLayer); |
| |
| CreateAnyLayer(shapeLayer.o, serializer::Layer::Layer_ShapeLayer); |
| } |
| |
| void SerializerStrategy::SerializeStackLayer(const armnn::IConnectableLayer* layer, |
| const armnn::StackDescriptor& stackDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto stackBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Stack); |
| |
| std::vector<unsigned int> inputShape; |
| for (unsigned int i =0; i < stackDescriptor.m_InputShape.GetNumDimensions(); i++) |
| { |
| inputShape.push_back(stackDescriptor.m_InputShape[i]); |
| } |
| |
| auto flatBufferStackDescriptor = CreateStackDescriptor(m_flatBufferBuilder, |
| stackDescriptor.m_Axis, |
| stackDescriptor.m_NumInputs, |
| m_flatBufferBuilder.CreateVector(inputShape)); |
| |
| auto stackLayer = serializer::CreateStackLayer(m_flatBufferBuilder, stackBaseLayer, flatBufferStackDescriptor); |
| CreateAnyLayer(stackLayer.o, serializer::Layer::Layer_StackLayer); |
| } |
| |
| void SerializerStrategy::SerializeStandInLayer(const armnn::IConnectableLayer *layer, |
| const armnn::StandInDescriptor& standInDescriptor, |
| const char *name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbDescriptor = serializer::CreateStandInDescriptor(m_flatBufferBuilder, |
| standInDescriptor.m_NumInputs, |
| standInDescriptor.m_NumOutputs); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_StandIn); |
| auto fbLayer = serializer::CreateStandInLayer(m_flatBufferBuilder, fbBaseLayer, fbDescriptor); |
| |
| CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_StandInLayer); |
| } |
| |
| void SerializerStrategy::SerializeStridedSliceLayer(const armnn::IConnectableLayer* layer, |
| const armnn::StridedSliceDescriptor& stridedSliceDescriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_StridedSlice); |
| |
| auto flatBufferDescriptor = |
| CreateStridedSliceDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.m_Begin), |
| m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.m_End), |
| m_flatBufferBuilder.CreateVector(stridedSliceDescriptor.m_Stride), |
| stridedSliceDescriptor.m_BeginMask, |
| stridedSliceDescriptor.m_EndMask, |
| stridedSliceDescriptor.m_ShrinkAxisMask, |
| stridedSliceDescriptor.m_EllipsisMask, |
| stridedSliceDescriptor.m_NewAxisMask, |
| GetFlatBufferDataLayout(stridedSliceDescriptor.m_DataLayout)); |
| |
| auto flatBufferLayer = serializer::CreateStridedSliceLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDescriptor); |
| |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_StridedSliceLayer); |
| } |
| |
| void SerializerStrategy::SerializeSubtractionLayer(const armnn::IConnectableLayer* layer, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbSubtractionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Subtraction); |
| auto fbSubtractionLayer = serializer::CreateSubtractionLayer(m_flatBufferBuilder, fbSubtractionBaseLayer); |
| |
| CreateAnyLayer(fbSubtractionLayer.o, serializer::Layer::Layer_SubtractionLayer); |
| } |
| |
| void SerializerStrategy::SerializeSwitchLayer(const armnn::IConnectableLayer* layer, const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbSwitchBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Switch); |
| auto fbSwitchLayer = serializer::CreateSwitchLayer(m_flatBufferBuilder, fbSwitchBaseLayer); |
| |
| CreateAnyLayer(fbSwitchLayer.o, serializer::Layer::Layer_SwitchLayer); |
| } |
| |
| void SerializerStrategy::SerializeTransposeConvolution2dLayer( |
| const armnn::IConnectableLayer* layer, |
| const armnn::TransposeConvolution2dDescriptor& descriptor, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| const armnn::ConstTensor& weights = constants.at(0); |
| |
| auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution2d); |
| auto fbDescriptor = CreateTransposeConvolution2dDescriptor(m_flatBufferBuilder, |
| descriptor.m_PadLeft, |
| descriptor.m_PadRight, |
| descriptor.m_PadTop, |
| descriptor.m_PadBottom, |
| descriptor.m_StrideX, |
| descriptor.m_StrideY, |
| descriptor.m_BiasEnabled, |
| GetFlatBufferDataLayout(descriptor.m_DataLayout)); |
| |
| // weights & biases |
| auto fbWeightsConstTensorInfo = CreateConstTensorInfo(weights); |
| flatbuffers::Offset<serializer::ConstTensor> fbBiasesConstTensorInfo; |
| if (constants.size() > 1) |
| { |
| const armnn::ConstTensor& biases = constants.at(1); |
| fbBiasesConstTensorInfo = CreateConstTensorInfo(biases); |
| } |
| |
| auto fbLayer = CreateTransposeConvolution2dLayer(m_flatBufferBuilder, |
| fbBaseLayer, |
| fbDescriptor, |
| fbWeightsConstTensorInfo, |
| fbBiasesConstTensorInfo); |
| |
| CreateAnyLayer(fbLayer.o, serializer::Layer::Layer_TransposeConvolution2dLayer); |
| } |
| |
| void SerializerStrategy::SerializeTransposeLayer(const armnn::IConnectableLayer* layer, |
| const armnn::TransposeDescriptor& descriptor, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| // Create FlatBuffer BaseLayer |
| auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Transpose); |
| |
| std::vector<unsigned int> dimMappings; |
| for (unsigned int i=0; i<descriptor.m_DimMappings.GetSize(); ++i) |
| { |
| dimMappings.push_back(descriptor.m_DimMappings[i]); |
| } |
| |
| auto flatBufferDesc = serializer::CreateTransposeDescriptor(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(dimMappings)); |
| |
| // Create the FlatBuffer TransposeLayer |
| auto flatBufferLayer = serializer::CreateTransposeLayer(m_flatBufferBuilder, |
| flatBufferBaseLayer, |
| flatBufferDesc); |
| |
| // Add the AnyLayer to the FlatBufferLayers |
| CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_TransposeLayer); |
| } |
| |
| void SerializerStrategy::SerializeQLstmLayer(const armnn::IConnectableLayer* layer, |
| const armnn::QLstmDescriptor& descriptor, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbQLstmBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_QLstm); |
| |
| auto fbQLstmDescriptor = serializer::CreateQLstmDescriptor( |
| m_flatBufferBuilder, |
| descriptor.m_CifgEnabled, |
| descriptor.m_PeepholeEnabled, |
| descriptor.m_ProjectionEnabled, |
| descriptor.m_LayerNormEnabled, |
| descriptor.m_CellClip, |
| descriptor.m_ProjectionClip, |
| descriptor.m_InputIntermediateScale, |
| descriptor.m_ForgetIntermediateScale, |
| descriptor.m_CellIntermediateScale, |
| descriptor.m_OutputIntermediateScale, |
| descriptor.m_HiddenStateZeroPoint, |
| descriptor.m_HiddenStateScale |
| ); |
| |
| // Index for constants vector |
| std::size_t i = 0; |
| |
| // Mandatory params |
| auto inputToForgetWeights = CreateConstTensorInfo(constants[i++]); //InputToForgetWeights |
| auto inputToCellWeights = CreateConstTensorInfo(constants[i++]); //InputToCellWeights |
| auto inputToOutputWeights = CreateConstTensorInfo(constants[i++]); //InputToOutputWeights |
| auto recurrentToForgetWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToForgetWeights |
| auto recurrentToCellWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToCellWeights |
| auto recurrentToOutputWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToOutputWeights |
| auto forgetGateBias = CreateConstTensorInfo(constants[i++]); //ForgetGateBias |
| auto cellBias = CreateConstTensorInfo(constants[i++]); //CellBias |
| auto outputGateBias = CreateConstTensorInfo(constants[i++]); //OutputGateBias |
| |
| // CIFG |
| flatbuffers::Offset<serializer::ConstTensor> inputToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> recurrentToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> inputGateBias; |
| |
| if (!descriptor.m_CifgEnabled) |
| { |
| inputToInputWeights = CreateConstTensorInfo(constants[i++]); //InputToInputWeights |
| recurrentToInputWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToInputWeights |
| inputGateBias = CreateConstTensorInfo(constants[i++]); //InputGateBias |
| } |
| |
| // Peephole |
| flatbuffers::Offset<serializer::ConstTensor> cellToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellToForgetWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellToOutputWeights; |
| |
| if (descriptor.m_PeepholeEnabled) |
| { |
| if (!descriptor.m_CifgEnabled) |
| { |
| cellToInputWeights = CreateConstTensorInfo(constants[i++]); //CellToInputWeights |
| } |
| cellToForgetWeights = CreateConstTensorInfo(constants[i++]); //CellToForgetWeights |
| cellToOutputWeights = CreateConstTensorInfo(constants[i++]); //CellToOutputWeights |
| } |
| |
| // Projection |
| flatbuffers::Offset<serializer::ConstTensor> projectionWeights; |
| flatbuffers::Offset<serializer::ConstTensor> projectionBias; |
| |
| if (descriptor.m_ProjectionEnabled) |
| { |
| projectionWeights = CreateConstTensorInfo(constants[i++]); //ProjectionWeights |
| projectionBias = CreateConstTensorInfo(constants[i++]); //ProjectionBias |
| } |
| |
| // Layer norm |
| flatbuffers::Offset<serializer::ConstTensor> inputLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> forgetLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> outputLayerNormWeights; |
| |
| if (descriptor.m_LayerNormEnabled) |
| { |
| if (!descriptor.m_CifgEnabled) |
| { |
| inputLayerNormWeights = CreateConstTensorInfo(constants[i++]); //InputLayerNormWeights |
| } |
| forgetLayerNormWeights = CreateConstTensorInfo(constants[i++]); //ForgetLayerNormWeights |
| cellLayerNormWeights = CreateConstTensorInfo(constants[i++]); //CellLayerNormWeights |
| outputLayerNormWeights = CreateConstTensorInfo(constants[i++]); //OutputLayerNormWeights |
| } |
| |
| auto fbQLstmParams = serializer::CreateQLstmInputParams( |
| m_flatBufferBuilder, |
| inputToForgetWeights, |
| inputToCellWeights, |
| inputToOutputWeights, |
| recurrentToForgetWeights, |
| recurrentToCellWeights, |
| recurrentToOutputWeights, |
| forgetGateBias, |
| cellBias, |
| outputGateBias, |
| inputToInputWeights, |
| recurrentToInputWeights, |
| inputGateBias, |
| projectionWeights, |
| projectionBias, |
| cellToInputWeights, |
| cellToForgetWeights, |
| cellToOutputWeights, |
| inputLayerNormWeights, |
| forgetLayerNormWeights, |
| cellLayerNormWeights, |
| outputLayerNormWeights); |
| |
| auto fbQLstmLayer = serializer::CreateQLstmLayer( |
| m_flatBufferBuilder, |
| fbQLstmBaseLayer, |
| fbQLstmDescriptor, |
| fbQLstmParams); |
| |
| CreateAnyLayer(fbQLstmLayer.o, serializer::Layer::Layer_QLstmLayer); |
| } |
| |
| void SerializerStrategy::SerializeQuantizedLstmLayer(const armnn::IConnectableLayer* layer, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbQuantizedLstmBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_QuantizedLstm); |
| |
| // index for constants vector |
| size_t i = 0; |
| |
| // Get input parameters |
| auto inputToInputWeights = CreateConstTensorInfo(constants[i++]); |
| auto inputToForgetWeights = CreateConstTensorInfo(constants[i++]); |
| auto inputToCellWeights = CreateConstTensorInfo(constants[i++]); |
| auto inputToOutputWeights = CreateConstTensorInfo(constants[i++]); |
| |
| auto recurrentToInputWeights = CreateConstTensorInfo(constants[i++]); |
| auto recurrentToForgetWeights = CreateConstTensorInfo(constants[i++]); |
| auto recurrentToCellWeights = CreateConstTensorInfo(constants[i++]); |
| auto recurrentToOutputWeights = CreateConstTensorInfo(constants[i++]); |
| |
| auto inputGateBias = CreateConstTensorInfo(constants[i++]); |
| auto forgetGateBias = CreateConstTensorInfo(constants[i++]); |
| auto cellBias = CreateConstTensorInfo(constants[i++]); |
| auto outputGateBias = CreateConstTensorInfo(constants[i++]); |
| |
| auto fbQuantizedLstmParams = serializer::CreateQuantizedLstmInputParams( |
| m_flatBufferBuilder, |
| inputToInputWeights, |
| inputToForgetWeights, |
| inputToCellWeights, |
| inputToOutputWeights, |
| recurrentToInputWeights, |
| recurrentToForgetWeights, |
| recurrentToCellWeights, |
| recurrentToOutputWeights, |
| inputGateBias, |
| forgetGateBias, |
| cellBias, |
| outputGateBias); |
| |
| auto fbQuantizedLstmLayer = serializer::CreateQuantizedLstmLayer( |
| m_flatBufferBuilder, |
| fbQuantizedLstmBaseLayer, |
| fbQuantizedLstmParams); |
| |
| CreateAnyLayer(fbQuantizedLstmLayer.o, serializer::Layer::Layer_QuantizedLstmLayer); |
| } |
| |
| void SerializerStrategy::SerializeUnidirectionalSequenceLstmLayer( |
| const armnn::IConnectableLayer* layer, |
| const armnn::UnidirectionalSequenceLstmDescriptor& descriptor, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name) |
| { |
| IgnoreUnused(name); |
| |
| auto fbUnidirectionalSequenceLstmBaseLayer = |
| CreateLayerBase(layer, serializer::LayerType::LayerType_UnidirectionalSequenceLstm); |
| |
| auto fbUnidirectionalSequenceLstmDescriptor = serializer::CreateUnidirectionalSequenceLstmDescriptor( |
| m_flatBufferBuilder, |
| descriptor.m_ActivationFunc, |
| descriptor.m_ClippingThresCell, |
| descriptor.m_ClippingThresProj, |
| descriptor.m_CifgEnabled, |
| descriptor.m_PeepholeEnabled, |
| descriptor.m_ProjectionEnabled, |
| descriptor.m_LayerNormEnabled, |
| descriptor.m_TimeMajor); |
| |
| // Index for constants vector |
| std::size_t i = 0; |
| |
| // Get mandatory/basic input parameters |
| auto inputToForgetWeights = CreateConstTensorInfo(constants[i++]); //InputToForgetWeights |
| auto inputToCellWeights = CreateConstTensorInfo(constants[i++]); //InputToCellWeights |
| auto inputToOutputWeights = CreateConstTensorInfo(constants[i++]); //InputToOutputWeights |
| auto recurrentToForgetWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToForgetWeights |
| auto recurrentToCellWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToCellWeights |
| auto recurrentToOutputWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToOutputWeights |
| auto forgetGateBias = CreateConstTensorInfo(constants[i++]); //ForgetGateBias |
| auto cellBias = CreateConstTensorInfo(constants[i++]); //CellBias |
| auto outputGateBias = CreateConstTensorInfo(constants[i++]); //OutputGateBias |
| |
| //Define optional parameters, these will be set depending on configuration in Lstm descriptor |
| flatbuffers::Offset<serializer::ConstTensor> inputToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> recurrentToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellToInputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> inputGateBias; |
| flatbuffers::Offset<serializer::ConstTensor> projectionWeights; |
| flatbuffers::Offset<serializer::ConstTensor> projectionBias; |
| flatbuffers::Offset<serializer::ConstTensor> cellToForgetWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellToOutputWeights; |
| flatbuffers::Offset<serializer::ConstTensor> inputLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> forgetLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> cellLayerNormWeights; |
| flatbuffers::Offset<serializer::ConstTensor> outputLayerNormWeights; |
| |
| if (!descriptor.m_CifgEnabled) |
| { |
| inputToInputWeights = CreateConstTensorInfo(constants[i++]); //InputToInputWeights |
| recurrentToInputWeights = CreateConstTensorInfo(constants[i++]); //RecurrentToInputWeights |
| inputGateBias = CreateConstTensorInfo(constants[i++]); //InputGateBias |
| } |
| |
| if (descriptor.m_PeepholeEnabled) |
| { |
| if (!descriptor.m_CifgEnabled) |
| { |
| cellToInputWeights = CreateConstTensorInfo(constants[i++]); //CellToInputWeights |
| } |
| cellToForgetWeights = CreateConstTensorInfo(constants[i++]); //CellToForgetWeights |
| cellToOutputWeights = CreateConstTensorInfo(constants[i++]); //CellToOutputWeights |
| } |
| |
| if (descriptor.m_ProjectionEnabled) |
| { |
| projectionWeights = CreateConstTensorInfo(constants[i++]); //ProjectionWeights |
| projectionBias = CreateConstTensorInfo(constants[i++]); //ProjectionBias |
| } |
| |
| if (descriptor.m_LayerNormEnabled) |
| { |
| if (!descriptor.m_CifgEnabled) |
| { |
| inputLayerNormWeights = CreateConstTensorInfo(constants[i++]); //InputLayerNormWeights |
| } |
| forgetLayerNormWeights = CreateConstTensorInfo(constants[i++]); //ForgetLayerNormWeights |
| cellLayerNormWeights = CreateConstTensorInfo(constants[i++]); //CellLayerNormWeights |
| outputLayerNormWeights = CreateConstTensorInfo(constants[i++]); //OutputLayerNormWeights |
| } |
| |
| auto fbUnidirectionalSequenceLstmParams = serializer::CreateLstmInputParams( |
| m_flatBufferBuilder, |
| inputToForgetWeights, |
| inputToCellWeights, |
| inputToOutputWeights, |
| recurrentToForgetWeights, |
| recurrentToCellWeights, |
| recurrentToOutputWeights, |
| forgetGateBias, |
| cellBias, |
| outputGateBias, |
| inputToInputWeights, |
| recurrentToInputWeights, |
| cellToInputWeights, |
| inputGateBias, |
| projectionWeights, |
| projectionBias, |
| cellToForgetWeights, |
| cellToOutputWeights, |
| inputLayerNormWeights, |
| forgetLayerNormWeights, |
| cellLayerNormWeights, |
| outputLayerNormWeights); |
| |
| auto fbUnidirectionalSequenceLstmLayer = serializer::CreateUnidirectionalSequenceLstmLayer( |
| m_flatBufferBuilder, |
| fbUnidirectionalSequenceLstmBaseLayer, |
| fbUnidirectionalSequenceLstmDescriptor, |
| fbUnidirectionalSequenceLstmParams); |
| |
| CreateAnyLayer(fbUnidirectionalSequenceLstmLayer.o, serializer::Layer::Layer_UnidirectionalSequenceLstmLayer); |
| } |
| |
| fb::Offset<serializer::LayerBase> SerializerStrategy::CreateLayerBase(const IConnectableLayer* layer, |
| const serializer::LayerType layerType) |
| { |
| |
| uint32_t fbIndex = GetSerializedId(layer->GetGuid()); |
| |
| std::vector<fb::Offset<serializer::InputSlot>> inputSlots = CreateInputSlots(layer); |
| std::vector<fb::Offset<serializer::OutputSlot>> outputSlots = CreateOutputSlots(layer); |
| |
| return serializer::CreateLayerBase(m_flatBufferBuilder, |
| fbIndex, |
| m_flatBufferBuilder.CreateString(layer->GetName()), |
| layerType, |
| m_flatBufferBuilder.CreateVector(inputSlots), |
| m_flatBufferBuilder.CreateVector(outputSlots)); |
| } |
| |
| void SerializerStrategy::CreateAnyLayer(const flatbuffers::Offset<void>& layer, const serializer::Layer serializerLayer) |
| { |
| |
| auto anyLayer = armnnSerializer::CreateAnyLayer(m_flatBufferBuilder, serializerLayer, layer); |
| m_serializedLayers.push_back(anyLayer); |
| } |
| |
| template <typename T> |
| flatbuffers::Offset<flatbuffers::Vector<T>> SerializerStrategy::CreateDataVector(const void* memory, unsigned int size) |
| { |
| const T* buffer = reinterpret_cast<const T*>(memory); |
| std::vector<T> vector(buffer, buffer + (size / sizeof(T))); |
| auto fbVector = m_flatBufferBuilder.CreateVector(vector); |
| return fbVector; |
| } |
| |
| flatbuffers::Offset<TensorInfo> SerializerStrategy::CreateTensorInfo(const armnn::TensorInfo& tensorInfo) |
| { |
| // Get the dimensions |
| std::vector<unsigned int> shape; |
| std::vector<bool> specificity; |
| // This assumes that the TensorShape constructors have ensured that the size of m_DimensionsSpecificity |
| // matches the size of dimensions. |
| for(unsigned int dim = 0; dim < tensorInfo.GetShape().GetNumDimensions(); ++dim) |
| { |
| specificity.push_back(tensorInfo.GetShape().GetDimensionSpecificity(dim)); |
| |
| if (tensorInfo.GetShape().GetDimensionSpecificity(dim)) |
| { |
| shape.push_back(tensorInfo.GetShape()[dim]); |
| } |
| else |
| { |
| shape.push_back(0); |
| } |
| } |
| |
| if (tensorInfo.HasPerAxisQuantization()) |
| { |
| // Create FlatBuffer TensorInfo |
| auto flatBufferTensorInfo = |
| serializer::CreateTensorInfo(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(shape), |
| GetFlatBufferDataType(tensorInfo.GetDataType()), |
| tensorInfo.GetQuantizationScales()[0], |
| tensorInfo.GetQuantizationOffset(), |
| m_flatBufferBuilder.CreateVector(tensorInfo.GetQuantizationScales()), |
| tensorInfo.GetQuantizationDim().value(), |
| static_cast<unsigned int> |
| (tensorInfo.GetShape().GetDimensionality()), |
| m_flatBufferBuilder.CreateVector(specificity)); |
| return flatBufferTensorInfo; |
| } |
| |
| // Create FlatBuffer TensorInfo |
| auto flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder, |
| m_flatBufferBuilder.CreateVector(shape), |
| GetFlatBufferDataType(tensorInfo.GetDataType()), |
| tensorInfo.GetQuantizationScale(), |
| tensorInfo.GetQuantizationOffset(), |
| 0, |
| 0, |
| static_cast<unsigned int> |
| (tensorInfo.GetShape().GetDimensionality()), |
| m_flatBufferBuilder.CreateVector(specificity)); |
| return flatBufferTensorInfo; |
| } |
| |
| flatbuffers::Offset<serializer::ConstTensor> |
| SerializerStrategy::CreateConstTensorInfo(const armnn::ConstTensor& constTensor) |
| { |
| armnn::TensorInfo tensorInfo = constTensor.GetInfo(); |
| |
| flatbuffers::Offset<void> fbPayload; |
| |
| switch (tensorInfo.GetDataType()) |
| { |
| case armnn::DataType::Signed64: |
| { |
| auto fbVector = CreateDataVector<int64_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes()); |
| flatbuffers::Offset<serializer::LongData> flatBuffersData = serializer::CreateLongData( |
| m_flatBufferBuilder, |
| fbVector); |
| fbPayload = flatBuffersData.o; |
| break; |
| } |
| case armnn::DataType::Float32: |
| case armnn::DataType::Signed32: |
| { |
| auto fbVector = CreateDataVector<int32_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes()); |
| flatbuffers::Offset<serializer::IntData> flatBuffersData = serializer::CreateIntData( |
| m_flatBufferBuilder, |
| fbVector); |
| fbPayload = flatBuffersData.o; |
| break; |
| } |
| case armnn::DataType::Float16: |
| case armnn::DataType::BFloat16: |
| case armnn::DataType::QSymmS16: |
| { |
| auto fbVector = CreateDataVector<int16_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes()); |
| flatbuffers::Offset<serializer::ShortData> flatBuffersData = serializer::CreateShortData( |
| m_flatBufferBuilder, |
| fbVector); |
| fbPayload = flatBuffersData.o; |
| break; |
| } |
| case armnn::DataType::QSymmS8: |
| case armnn::DataType::QAsymmS8: |
| case armnn::DataType::QAsymmU8: |
| case armnn::DataType::Boolean: |
| default: |
| { |
| auto fbVector = CreateDataVector<int8_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes()); |
| flatbuffers::Offset<serializer::ByteData> flatBuffersData = serializer::CreateByteData( |
| m_flatBufferBuilder, |
| fbVector); |
| fbPayload = flatBuffersData.o; |
| } |
| } |
| flatbuffers::Offset<serializer::ConstTensor> flatBufferConstTensor = serializer::CreateConstTensor( |
| m_flatBufferBuilder, |
| CreateTensorInfo(tensorInfo), |
| GetFlatBufferConstTensorData(tensorInfo.GetDataType()), |
| fbPayload); |
| return flatBufferConstTensor; |
| } |
| |
| flatbuffers::Offset<armnnSerializer::FeatureCompatibilityVersions> SerializerStrategy::GetVersionTable() |
| { |
| flatbuffers::Offset<armnnSerializer::FeatureCompatibilityVersions> versionsTable = |
| serializer::CreateFeatureCompatibilityVersions( |
| m_flatBufferBuilder, |
| 1, // Binding ids scheme version |
| 1, // Weights layout scheme version |
| 1 // Constant tensors as inputs version |
| ); |
| return versionsTable; |
| } |
| |
| std::vector<fb::Offset<serializer::InputSlot>> |
| SerializerStrategy::CreateInputSlots(const armnn::IConnectableLayer* layer) |
| { |
| std::vector<fb::Offset<serializer::InputSlot>> inputSlots; |
| |
| // Get the InputSlots |
| for (unsigned int slotIndex = 0; slotIndex<layer->GetNumInputSlots(); ++slotIndex) |
| { |
| const IInputSlot& inputSlot = layer->GetInputSlot(slotIndex); |
| |
| // Get the Connection for the InputSlot |
| const IOutputSlot* connection = inputSlot.GetConnection(); |
| |
| // Create FlatBuffer Connection |
| serializer::Connection conn(GetSerializedId(inputSlot.GetConnection()->GetOwningLayerGuid()), |
| connection->CalculateIndexOnOwner()); |
| // Create FlatBuffer InputSlot |
| inputSlots.push_back(serializer::CreateInputSlot(m_flatBufferBuilder, slotIndex, &conn)); |
| } |
| return inputSlots; |
| } |
| |
| std::vector<fb::Offset<serializer::OutputSlot>> |
| SerializerStrategy::CreateOutputSlots(const armnn::IConnectableLayer* layer) |
| { |
| std::vector<fb::Offset<serializer::OutputSlot>> outputSlots; |
| |
| // Get the OutputSlots |
| for (unsigned int slotIndex = 0; slotIndex < layer->GetNumOutputSlots(); ++slotIndex) |
| { |
| const IOutputSlot& outputSlot = layer->GetOutputSlot(slotIndex); |
| const armnn::TensorInfo& tensorInfo = outputSlot.GetTensorInfo(); |
| |
| // Create FlatBuffer Outputslot |
| outputSlots.push_back(serializer::CreateOutputSlot(m_flatBufferBuilder, |
| slotIndex, |
| CreateTensorInfo(tensorInfo))); |
| } |
| return outputSlots; |
| } |
| |
| void SerializerStrategy::ExecuteStrategy(const armnn::IConnectableLayer* layer, |
| const BaseDescriptor& descriptor, |
| const std::vector<armnn::ConstTensor>& constants, |
| const char* name, |
| const armnn::LayerBindingId id) |
| { |
| IgnoreUnused(constants); |
| |
| switch (layer->GetType()) |
| { |
| case armnn::LayerType::Activation : |
| { |
| const armnn::ActivationDescriptor& layerDescriptor = |
| static_cast<const armnn::ActivationDescriptor&>(descriptor); |
| SerializeActivationLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Addition : |
| { |
| SerializeAdditionLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::ArgMinMax : |
| { |
| const armnn::ArgMinMaxDescriptor& layerDescriptor = |
| static_cast<const armnn::ArgMinMaxDescriptor&>(descriptor); |
| SerializeArgMinMaxLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::BatchMatMul: |
| { |
| const armnn::BatchMatMulDescriptor& layerDescriptor = |
| static_cast<const armnn::BatchMatMulDescriptor&>(descriptor); |
| SerializeBatchMatMulLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::BatchNormalization : |
| { |
| const armnn::BatchNormalizationDescriptor& layerDescriptor = |
| static_cast<const armnn::BatchNormalizationDescriptor&>(descriptor); |
| SerializeBatchNormalizationLayer(layer, |
| layerDescriptor, |
| constants, |
| name); |
| break; |
| } |
| case armnn::LayerType::BatchToSpaceNd : |
| { |
| const armnn::BatchToSpaceNdDescriptor& layerDescriptor = |
| static_cast<const armnn::BatchToSpaceNdDescriptor&>(descriptor); |
| SerializeBatchToSpaceNdLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::Cast : |
| { |
| SerializeCastLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::ChannelShuffle : |
| { |
| const armnn::ChannelShuffleDescriptor& layerDescriptor = |
| static_cast<const armnn::ChannelShuffleDescriptor&>(descriptor); |
| SerializeChannelShuffleLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::Comparison : |
| { |
| const armnn::ComparisonDescriptor& layerDescriptor = |
| static_cast<const armnn::ComparisonDescriptor&>(descriptor); |
| SerializeComparisonLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::Concat : |
| { |
| const armnn::ConcatDescriptor& layerDescriptor = |
| static_cast<const armnn::ConcatDescriptor&>(descriptor); |
| SerializeConcatLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::Constant : |
| { |
| SerializeConstantLayer(layer, |
| constants, |
| name); |
| break; |
| } |
| case armnn::LayerType::Convolution2d : |
| { |
| const armnn::Convolution2dDescriptor& layerDescriptor = |
| static_cast<const armnn::Convolution2dDescriptor&>(descriptor); |
| SerializeConvolution2dLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::Convolution3d : |
| { |
| const armnn::Convolution3dDescriptor& layerDescriptor = |
| static_cast<const armnn::Convolution3dDescriptor&>(descriptor); |
| SerializeConvolution3dLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::DepthToSpace : |
| { |
| const armnn::DepthToSpaceDescriptor& layerDescriptor = |
| static_cast<const armnn::DepthToSpaceDescriptor&>(descriptor); |
| SerializeDepthToSpaceLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::DepthwiseConvolution2d : |
| { |
| const armnn::DepthwiseConvolution2dDescriptor& layerDescriptor = |
| static_cast<const armnn::DepthwiseConvolution2dDescriptor&>(descriptor); |
| SerializeDepthwiseConvolution2dLayer(layer, |
| layerDescriptor, |
| name); |
| break; |
| } |
| case armnn::LayerType::Dequantize : |
| { |
| SerializeDequantizeLayer(layer, |
| name); |
| break; |
| } |
| case armnn::LayerType::DetectionPostProcess : |
| { |
| const armnn::DetectionPostProcessDescriptor& layerDescriptor = |
| static_cast<const armnn::DetectionPostProcessDescriptor&>(descriptor); |
| SerializeDetectionPostProcessLayer(layer, layerDescriptor, constants, name); |
| break; |
| } |
| case armnn::LayerType::Division : |
| { |
| SerializeDivisionLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::ElementwiseUnary : |
| { |
| const armnn::ElementwiseUnaryDescriptor& layerDescriptor = |
| static_cast<const armnn::ElementwiseUnaryDescriptor&>(descriptor); |
| SerializeElementwiseUnaryLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Fill : |
| { |
| const armnn::FillDescriptor& layerDescriptor = |
| static_cast<const armnn::FillDescriptor&>(descriptor); |
| SerializeFillLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Floor : |
| { |
| SerializeFloorLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::FullyConnected : |
| { |
| const armnn::FullyConnectedDescriptor& layerDescriptor = |
| static_cast<const armnn::FullyConnectedDescriptor&>(descriptor); |
| SerializeFullyConnectedLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Gather : |
| { |
| const armnn::GatherDescriptor& layerDescriptor = |
| static_cast<const armnn::GatherDescriptor&>(descriptor); |
| SerializeGatherLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::GatherNd : |
| { |
| SerializeGatherNdLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Input: |
| { |
| SerializeInputLayer(layer, id, name); |
| break; |
| } |
| case armnn::LayerType::InstanceNormalization : |
| { |
| const armnn::InstanceNormalizationDescriptor& layerDescriptor = |
| static_cast<const armnn::InstanceNormalizationDescriptor&>(descriptor); |
| SerializeInstanceNormalizationLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::L2Normalization : |
| { |
| const armnn::L2NormalizationDescriptor& layerDescriptor = |
| static_cast<const armnn::L2NormalizationDescriptor&>(descriptor); |
| SerializeL2NormalizationLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::LogicalBinary : |
| { |
| const armnn::LogicalBinaryDescriptor& layerDescriptor = |
| static_cast<const armnn::LogicalBinaryDescriptor&>(descriptor); |
| SerializeLogicalBinaryLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::LogSoftmax : |
| { |
| const armnn::LogSoftmaxDescriptor& layerDescriptor = |
| static_cast<const armnn::LogSoftmaxDescriptor&>(descriptor); |
| SerializeLogSoftmaxLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Lstm : |
| { |
| const armnn::LstmDescriptor& layerDescriptor = |
| static_cast<const armnn::LstmDescriptor&>(descriptor); |
| SerializeLstmLayer(layer, layerDescriptor, constants, name); |
| break; |
| } |
| case armnn::LayerType::QLstm : |
| { |
| const armnn::QLstmDescriptor& layerDescriptor = |
| static_cast<const armnn::QLstmDescriptor&>(descriptor); |
| SerializeQLstmLayer(layer, layerDescriptor, constants, name); |
| break; |
| } |
| case armnn::LayerType::Maximum : |
| { |
| SerializeMaximumLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Mean : |
| { |
| const armnn::MeanDescriptor& layerDescriptor = |
| static_cast<const armnn::MeanDescriptor&>(descriptor); |
| SerializeMeanLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Merge : |
| { |
| SerializeMergeLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Minimum : |
| { |
| SerializeMinimumLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Multiplication : |
| { |
| SerializeMultiplicationLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Normalization : |
| { |
| const armnn::NormalizationDescriptor& layerDescriptor = |
| static_cast<const armnn::NormalizationDescriptor&>(descriptor); |
| SerializeNormalizationLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Output: |
| { |
| SerializeOutputLayer(layer, id, name); |
| break; |
| } |
| case armnn::LayerType::Pad : |
| { |
| const armnn::PadDescriptor& layerDescriptor = |
| static_cast<const armnn::PadDescriptor&>(descriptor); |
| SerializePadLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Permute : |
| { |
| const armnn::PermuteDescriptor& layerDescriptor = |
| static_cast<const armnn::PermuteDescriptor&>(descriptor); |
| SerializePermuteLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Pooling2d : |
| { |
| const armnn::Pooling2dDescriptor& layerDescriptor = |
| static_cast<const armnn::Pooling2dDescriptor&>(descriptor); |
| SerializePooling2dLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Pooling3d : |
| { |
| const armnn::Pooling3dDescriptor& layerDescriptor = |
| static_cast<const armnn::Pooling3dDescriptor&>(descriptor); |
| SerializePooling3dLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Prelu : |
| { |
| SerializePreluLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Quantize : |
| { |
| SerializeQuantizeLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::QuantizedLstm: |
| SerializeQuantizedLstmLayer(layer, constants, name); |
| break; |
| case armnn::LayerType::Reshape: |
| { |
| const armnn::ReshapeDescriptor &layerDescriptor = |
| static_cast<const armnn::ReshapeDescriptor &>(descriptor); |
| SerializeReshapeLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Rank: |
| { |
| SerializeRankLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Reduce: |
| { |
| const armnn::ReduceDescriptor& layerDescriptor = |
| static_cast<const armnn::ReduceDescriptor&>(descriptor); |
| SerializeReduceLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Resize: |
| { |
| const armnn::ResizeDescriptor& layerDescriptor = |
| static_cast<const armnn::ResizeDescriptor&>(descriptor); |
| SerializeResizeLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Shape: |
| { |
| SerializeShapeLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Slice: |
| { |
| const armnn::SliceDescriptor& layerDescriptor = |
| static_cast<const armnn::SliceDescriptor&>(descriptor); |
| SerializeSliceLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Softmax: |
| { |
| const armnn::SoftmaxDescriptor& layerDescriptor = |
| static_cast<const armnn::SoftmaxDescriptor&>(descriptor); |
| SerializeSoftmaxLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::SpaceToBatchNd: |
| { |
| const armnn::SpaceToBatchNdDescriptor& layerDescriptor = |
| static_cast<const armnn::SpaceToBatchNdDescriptor&>(descriptor); |
| SerializeSpaceToBatchNdLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::SpaceToDepth: |
| { |
| const armnn::SpaceToDepthDescriptor& layerDescriptor = |
| static_cast<const armnn::SpaceToDepthDescriptor&>(descriptor); |
| SerializeSpaceToDepthLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Splitter: |
| { |
| const armnn::SplitterDescriptor& layerDescriptor = |
| static_cast<const armnn::SplitterDescriptor&>(descriptor); |
| SerializeSplitterLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Stack: |
| { |
| const armnn::StackDescriptor& layerDescriptor = |
| static_cast<const armnn::StackDescriptor&>(descriptor); |
| SerializeStackLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::StandIn: |
| { |
| const armnn::StandInDescriptor& layerDescriptor = |
| static_cast<const armnn::StandInDescriptor&>(descriptor); |
| SerializeStandInLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::StridedSlice: |
| { |
| const armnn::StridedSliceDescriptor& layerDescriptor = |
| static_cast<const armnn::StridedSliceDescriptor&>(descriptor); |
| SerializeStridedSliceLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::Subtraction: |
| { |
| SerializeSubtractionLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Switch: |
| { |
| SerializeSwitchLayer(layer, name); |
| break; |
| } |
| case armnn::LayerType::Transpose: |
| { |
| const armnn::TransposeDescriptor& layerDescriptor = |
| static_cast<const armnn::TransposeDescriptor&>(descriptor); |
| SerializeTransposeLayer(layer, layerDescriptor, name); |
| break; |
| } |
| case armnn::LayerType::TransposeConvolution2d: |
| { |
| const armnn::TransposeConvolution2dDescriptor& layerDescriptor = |
| static_cast<const armnn::TransposeConvolution2dDescriptor&>(descriptor); |
| SerializeTransposeConvolution2dLayer(layer, layerDescriptor, constants, name); |
| break; |
| } |
| case armnn::LayerType::UnidirectionalSequenceLstm : |
| { |
| const armnn::UnidirectionalSequenceLstmDescriptor& layerDescriptor = |
| static_cast<const armnn::UnidirectionalSequenceLstmDescriptor&>(descriptor); |
| SerializeUnidirectionalSequenceLstmLayer(layer, layerDescriptor, constants, name); |
| break; |
| } |
| default: |
| { |
| throw InvalidArgumentException( |
| fmt::format("A layer of unknown type was given to the serializer. Layer name: {}; Layer Id: {}", |
| layer->GetName(), |
| id)); |
| } |
| } |
| } |
| |
| void ISerializer::SerializerImpl::Serialize(const INetwork& inNetwork) |
| { |
| // Iterate through to network |
| inNetwork.ExecuteStrategy(m_SerializerStrategy); |
| flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerStrategy.GetFlatBufferBuilder(); |
| |
| // Create FlatBuffer SerializedGraph |
| auto serializedGraph = serializer::CreateSerializedGraph( |
| fbBuilder, |
| fbBuilder.CreateVector(m_SerializerStrategy.GetSerializedLayers()), |
| fbBuilder.CreateVector(m_SerializerStrategy.GetInputIds()), |
| fbBuilder.CreateVector(m_SerializerStrategy.GetOutputIds()), |
| m_SerializerStrategy.GetVersionTable()); |
| |
| // Serialize the graph |
| fbBuilder.Finish(serializedGraph); |
| } |
| |
| |
| bool ISerializer::SerializerImpl::SaveSerializedToStream(std::ostream& stream) |
| { |
| flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerStrategy.GetFlatBufferBuilder(); |
| |
| auto bytesToWrite = armnn::numeric_cast<std::streamsize>(fbBuilder.GetSize()); |
| stream.write(reinterpret_cast<const char*>(fbBuilder.GetBufferPointer()), bytesToWrite); |
| return !stream.bad(); |
| } |
| |
| } // namespace armnnSerializer |