xref: /aosp_15_r20/external/armnn/src/armnnDeserializer/Deserializer.hpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)

//
// Copyright © 2017,2019-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//

#pragma once

#include <armnn/INetwork.hpp>
#include <armnnDeserializer/IDeserializer.hpp>
#include <ArmnnSchema_generated.h>

#include <unordered_map>

namespace armnnDeserializer
{

// Shorthands for deserializer types
using ConstTensorRawPtr = const armnnSerializer::ConstTensor *;
using GraphPtr = const armnnSerializer::SerializedGraph *;
using TensorRawPtr = const armnnSerializer::TensorInfo *;
using Pooling2dDescriptor = const armnnSerializer::Pooling2dDescriptor *;
using Pooling3dDescriptor = const armnnSerializer::Pooling3dDescriptor *;
using NormalizationDescriptorPtr = const armnnSerializer::NormalizationDescriptor *;
using LstmDescriptorPtr = const armnnSerializer::LstmDescriptor *;
using LstmInputParamsPtr = const armnnSerializer::LstmInputParams *;
using QLstmDescriptorPtr = const armnnSerializer::QLstmDescriptor *;
using QunatizedLstmInputParamsPtr = const armnnSerializer::QuantizedLstmInputParams *;
using TensorRawPtrVector = std::vector<TensorRawPtr>;
using LayerRawPtr = const armnnSerializer::LayerBase *;
using LayerBaseRawPtr = const armnnSerializer::LayerBase *;
using LayerBaseRawPtrVector = std::vector<LayerBaseRawPtr>;
using UnidirectionalSequenceLstmDescriptorPtr = const armnnSerializer::UnidirectionalSequenceLstmDescriptor *;

class IDeserializer::DeserializerImpl
{
public:

    /// Create an input network from binary file contents
    armnn::INetworkPtr CreateNetworkFromBinary(const std::vector<uint8_t>& binaryContent);

    /// Create an input network from a binary input stream
    armnn::INetworkPtr CreateNetworkFromBinary(std::istream& binaryContent);

    /// Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name
    BindingPointInfo GetNetworkInputBindingInfo(unsigned int layerId, const std::string& name) const;

    /// Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name
    BindingPointInfo GetNetworkOutputBindingInfo(unsigned int layerId, const std::string& name) const;

    DeserializerImpl();
    ~DeserializerImpl() = default;

    // No copying allowed until it is wanted and properly implemented
    DeserializerImpl(const DeserializerImpl&) = delete;
    DeserializerImpl& operator=(const DeserializerImpl&) = delete;

    // testable helpers
    static GraphPtr LoadGraphFromBinary(const uint8_t* binaryContent, size_t len);
    static TensorRawPtrVector GetInputs(const GraphPtr& graph, unsigned int layerIndex);
    static TensorRawPtrVector GetOutputs(const GraphPtr& graph, unsigned int layerIndex);
    static LayerBaseRawPtr GetBaseLayer(const GraphPtr& graphPtr, unsigned int layerIndex);
    static int32_t GetBindingLayerInfo(const GraphPtr& graphPtr, unsigned int layerIndex);
    static std::string GetLayerName(const GraphPtr& graph, unsigned int index);
    static armnn::Pooling2dDescriptor GetPooling2dDescriptor(Pooling2dDescriptor pooling2dDescriptor,
                                                           unsigned int layerIndex);
    static armnn::Pooling3dDescriptor GetPooling3dDescriptor(Pooling3dDescriptor pooling3dDescriptor,
                                                           unsigned int layerIndex);
    static armnn::NormalizationDescriptor GetNormalizationDescriptor(
        NormalizationDescriptorPtr normalizationDescriptor, unsigned int layerIndex);
    static armnn::LstmDescriptor GetLstmDescriptor(LstmDescriptorPtr lstmDescriptor);
    static armnn::LstmInputParams GetLstmInputParams(LstmDescriptorPtr lstmDescriptor,
                                                     LstmInputParamsPtr lstmInputParams);
    static armnn::QLstmDescriptor GetQLstmDescriptor(QLstmDescriptorPtr qLstmDescriptorPtr);
    static armnn::UnidirectionalSequenceLstmDescriptor GetUnidirectionalSequenceLstmDescriptor(
        UnidirectionalSequenceLstmDescriptorPtr descriptor);
    static armnn::TensorInfo OutputShapeOfReshape(const armnn::TensorInfo & inputTensorInfo,
                                                  const std::vector<uint32_t> & targetDimsIn);

private:
    /// Create the network from an already loaded flatbuffers graph
    armnn::INetworkPtr CreateNetworkFromGraph(GraphPtr graph);

    // signature for the parser functions
    using LayerParsingFunction = void(DeserializerImpl::*)(GraphPtr graph, unsigned int layerIndex);

    void ParseUnsupportedLayer(GraphPtr graph, unsigned int layerIndex);
    void ParseAbs(GraphPtr graph, unsigned int layerIndex);
    void ParseActivation(GraphPtr graph, unsigned int layerIndex);
    void ParseAdd(GraphPtr graph, unsigned int layerIndex);
    void ParseArgMinMax(GraphPtr graph, unsigned int layerIndex);
    void ParseBatchMatMul(GraphPtr graph, unsigned int layerIndex);
    void ParseBatchToSpaceNd(GraphPtr graph, unsigned int layerIndex);
    void ParseBatchNormalization(GraphPtr graph, unsigned int layerIndex);
    void ParseCast(GraphPtr graph, unsigned int layerIndex);
    void ParseChannelShuffle(GraphPtr graph, unsigned int layerIndex);
    void ParseComparison(GraphPtr graph, unsigned int layerIndex);
    void ParseConcat(GraphPtr graph, unsigned int layerIndex);
    void ParseConstant(GraphPtr graph, unsigned int layerIndex);
    void ParseConvolution2d(GraphPtr graph, unsigned int layerIndex);
    void ParseConvolution3d(GraphPtr graph, unsigned int layerIndex);
    void ParseDepthToSpace(GraphPtr graph, unsigned int layerIndex);
    void ParseDepthwiseConvolution2d(GraphPtr graph, unsigned int layerIndex);
    void ParseDequantize(GraphPtr graph, unsigned int layerIndex);
    void ParseDetectionPostProcess(GraphPtr graph, unsigned int layerIndex);
    void ParseDivision(GraphPtr graph, unsigned int layerIndex);
    void ParseElementwiseBinary(GraphPtr graph, unsigned int layerIndex);
    void ParseElementwiseUnary(GraphPtr graph, unsigned int layerIndex);
    void ParseEqual(GraphPtr graph, unsigned int layerIndex);
    void ParseFill(GraphPtr graph, unsigned int layerIndex);
    void ParseFloor(GraphPtr graph, unsigned int layerIndex);
    void ParseFullyConnected(GraphPtr graph, unsigned int layerIndex);
    void ParseGather(GraphPtr graph, unsigned int layerIndex);
    void ParseGatherNd(GraphPtr graph, unsigned int layerIndex);
    void ParseGreater(GraphPtr graph, unsigned int layerIndex);
    void ParseInstanceNormalization(GraphPtr graph, unsigned int layerIndex);
    void ParseL2Normalization(GraphPtr graph, unsigned int layerIndex);
    void ParseLogicalBinary(GraphPtr graph, unsigned int layerIndex);
    void ParseLogSoftmax(GraphPtr graph, unsigned int layerIndex);
    void ParseMaximum(GraphPtr graph, unsigned int layerIndex);
    void ParseMean(GraphPtr graph, unsigned int layerIndex);
    void ParseMinimum(GraphPtr graph, unsigned int layerIndex);
    void ParseMerge(GraphPtr graph, unsigned int layerIndex);
    void ParseMultiplication(GraphPtr graph, unsigned int layerIndex);
    void ParseNormalization(GraphPtr graph, unsigned int layerIndex);
    void ParseLstm(GraphPtr graph, unsigned int layerIndex);
    void ParseQuantizedLstm(GraphPtr graph, unsigned int layerIndex);
    void ParsePad(GraphPtr graph, unsigned int layerIndex);
    void ParsePermute(GraphPtr graph, unsigned int layerIndex);
    void ParsePooling2d(GraphPtr graph, unsigned int layerIndex);
    void ParsePooling3d(GraphPtr graph, unsigned int layerIndex);
    void ParsePrelu(GraphPtr graph, unsigned int layerIndex);
    void ParseQLstm(GraphPtr graph, unsigned int layerIndex);
    void ParseQuantize(GraphPtr graph, unsigned int layerIndex);
    void ParseRank(GraphPtr graph, unsigned int layerIndex);
    void ParseReduce(GraphPtr graph, unsigned int layerIndex);
    void ParseReshape(GraphPtr graph, unsigned int layerIndex);
    void ParseResize(GraphPtr graph, unsigned int layerIndex);
    void ParseResizeBilinear(GraphPtr graph, unsigned int layerIndex);
    void ParseRsqrt(GraphPtr graph, unsigned int layerIndex);
    void ParseShape(GraphPtr graph, unsigned int layerIndex);
    void ParseSlice(GraphPtr graph, unsigned int layerIndex);
    void ParseSoftmax(GraphPtr graph, unsigned int layerIndex);
    void ParseSpaceToBatchNd(GraphPtr graph, unsigned int layerIndex);
    void ParseSpaceToDepth(GraphPtr graph, unsigned int layerIndex);
    void ParseSplitter(GraphPtr graph, unsigned int layerIndex);
    void ParseStack(GraphPtr graph, unsigned int layerIndex);
    void ParseStandIn(GraphPtr graph, unsigned int layerIndex);
    void ParseStridedSlice(GraphPtr graph, unsigned int layerIndex);
    void ParseSubtraction(GraphPtr graph, unsigned int layerIndex);
    void ParseSwitch(GraphPtr graph, unsigned int layerIndex);
    void ParseTranspose(GraphPtr graph, unsigned int layerIndex);
    void ParseTransposeConvolution2d(GraphPtr graph, unsigned int layerIndex);
    void ParseUnidirectionalSequenceLstm(GraphPtr graph, unsigned int layerIndex);

    void RegisterInputSlots(GraphPtr graph,
                            uint32_t layerIndex,
                            armnn::IConnectableLayer* layer,
                            std::vector<unsigned int> ignoreSlots = {});
    void RegisterOutputSlots(GraphPtr graph,
                             uint32_t layerIndex,
                             armnn::IConnectableLayer* layer);

    // NOTE index here must be from flatbuffer object index property
    void RegisterOutputSlotOfConnection(uint32_t sourceLayerIndex, uint32_t outputSlotIndex, armnn::IOutputSlot* slot);
    void RegisterInputSlotOfConnection(uint32_t sourceLayerIndex, uint32_t outputSlotIndex, armnn::IInputSlot* slot);

    void ResetParser();

    void SetupInputLayers(GraphPtr graphPtr);
    void SetupOutputLayers(GraphPtr graphPtr);

    /// Helper to get the index of the layer in the flatbuffer vector from its bindingId property
    unsigned int GetInputLayerInVector(GraphPtr graph, int targetId);
    unsigned int GetOutputLayerInVector(GraphPtr graph, int targetId);

    /// Helper to get the index of the layer in the flatbuffer vector from its index property
    unsigned int GetLayerIndexInVector(GraphPtr graph, unsigned int index);

    struct FeatureVersions
    {
        // Default values to zero for backward compatibility
        unsigned int m_BindingIdScheme = 0;

        // Default values to zero for backward compatibility
        unsigned int m_WeightsLayoutScheme = 0;

        // Default values to zero for backward compatibility
        unsigned int m_ConstTensorsAsInputs = 0;
    };

    FeatureVersions GetFeatureVersions(GraphPtr graph);

    /// The network we're building. Gets cleared after it is passed to the user
    armnn::INetworkPtr                    m_Network;
    std::vector<LayerParsingFunction>     m_ParserFunctions;

    using NameToBindingInfo = std::pair<std::string, BindingPointInfo >;
    std::vector<NameToBindingInfo>    m_InputBindings;
    std::vector<NameToBindingInfo>    m_OutputBindings;

    /// This struct describe connections for each layer
    struct Connections
    {
        // Maps output slot index (property in flatbuffer object) to IOutputSlot pointer
        std::unordered_map<unsigned int, armnn::IOutputSlot*> outputSlots;

        // Maps output slot index to IInputSlot pointer the output slot should be connected to
        std::unordered_map<unsigned int, std::vector<armnn::IInputSlot*>> inputSlots;
    };

    /// Maps layer index (index property in flatbuffer object) to Connections for each layer
    std::unordered_map<unsigned int, Connections> m_GraphConnections;
};

} // namespace armnnDeserializer