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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "armnn/LayerVisitorBase.hpp"
#include "StaticRangeVisitor.hpp"
#include "NetworkQuantizationScheme.hpp"
#include <armnn/INetwork.hpp>
#include <armnn/Types.hpp>
#include <armnnQuantizer/INetworkQuantizer.hpp>
#include <unordered_map>
namespace armnn
{
// Forward declaration
class StaticRangeVisitor;
/// Visitor object for quantizing layers in a network
class QuantizerVisitor : public LayerVisitorBase<VisitorThrowingPolicy>
{
public:
QuantizerVisitor(const RangeTracker& rangeTracker,
const IQuantizationScheme* quantizationScheme,
bool preserveType = false);
~QuantizerVisitor() = default;
/// Functions to quantize the individual layers, overridden from ILayerVisitor
void VisitActivationLayer(const IConnectableLayer* layer,
const ActivationDescriptor& activationDescriptor,
const char* name = nullptr) override;
void VisitAdditionLayer(const IConnectableLayer* layer, const char* name = nullptr) override;
void VisitBatchNormalizationLayer(const IConnectableLayer* layer,
const BatchNormalizationDescriptor& desc,
const ConstTensor& mean,
const ConstTensor& variance,
const ConstTensor& beta,
const ConstTensor& gamma,
const char* name = nullptr) override;
void VisitBatchToSpaceNdLayer(const IConnectableLayer* layer,
const BatchToSpaceNdDescriptor& batchToSpaceNdDescriptor,
const char* name = nullptr) override;
void VisitConcatLayer(const IConnectableLayer* layer,
const OriginsDescriptor& originsDescriptor,
const char* name = nullptr) override;
void VisitConstantLayer(const IConnectableLayer* layer,
const ConstTensor& input,
const char* name = nullptr) override;
void VisitConvolution2dLayer(const IConnectableLayer* layer,
const Convolution2dDescriptor& convolution2dDescriptor,
const ConstTensor& weights,
const Optional<ConstTensor>& biases,
const char* name = nullptr) override;
void VisitDepthwiseConvolution2dLayer(const IConnectableLayer* layer,
const DepthwiseConvolution2dDescriptor& desc,
const ConstTensor& weights,
const Optional<ConstTensor>& biases,
const char* name = nullptr) override;
void VisitFullyConnectedLayer(const IConnectableLayer *layer,
const FullyConnectedDescriptor& desc,
const ConstTensor& weights,
const Optional<ConstTensor>& biases,
const char *name = nullptr) override;
void VisitInputLayer(const IConnectableLayer* layer, LayerBindingId id, const char* name = nullptr) override;
void VisitMeanLayer(const IConnectableLayer* layer,
const MeanDescriptor& meanDescriptor,
const char* name = nullptr) override;
void VisitMultiplicationLayer(const IConnectableLayer* layer,
const char* name = nullptr) override;
void VisitNormalizationLayer(const armnn::IConnectableLayer* layer,
const armnn::NormalizationDescriptor& normalizationDescriptor,
const char* name = nullptr) override;
void VisitOutputLayer(const IConnectableLayer* layer, LayerBindingId id, const char* name = nullptr) override;
void VisitPadLayer(const IConnectableLayer*,
const PadDescriptor&,
const char* name = nullptr) override;
void VisitPermuteLayer(const IConnectableLayer* layer,
const PermuteDescriptor& permuteDescriptor,
const char* name = nullptr) override;
void VisitPooling2dLayer(const IConnectableLayer* layer,
const Pooling2dDescriptor& pooling2dDescriptor,
const char* name = nullptr) override;
void VisitPreluLayer(const IConnectableLayer* layer,
const char* name = nullptr) override;
void VisitReshapeLayer(const IConnectableLayer* layer,
const ReshapeDescriptor& reshapeDescriptor,
const char* name = nullptr) override;
void VisitResizeBilinearLayer(const IConnectableLayer* layer,
const ResizeBilinearDescriptor& resizeDesc,
const char* name = nullptr) override;
void VisitRsqrtLayer(const IConnectableLayer*,
const char* name = nullptr) override;
void VisitSoftmaxLayer(const IConnectableLayer* layer,
const SoftmaxDescriptor& softmaxDescriptor,
const char* name = nullptr) override;
void VisitSpaceToBatchNdLayer(const IConnectableLayer* layer,
const SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor,
const char* name = nullptr) override;
void VisitSpaceToDepthLayer(const IConnectableLayer* layer,
const SpaceToDepthDescriptor& spaceToDepthDescriptor,
const char* name = nullptr) override;
void VisitSplitterLayer(const IConnectableLayer* layer,
const SplitterDescriptor& splitterDescriptor,
const char* name = nullptr) override;
void VisitStridedSliceLayer(const IConnectableLayer* layer,
const StridedSliceDescriptor& stridedSliceDescriptor,
const char* name = nullptr) override;
void VisitSubtractionLayer(const IConnectableLayer* layer,
const char* name = nullptr) override;
void VisitTransposeConvolution2dLayer(const IConnectableLayer* layer,
const TransposeConvolution2dDescriptor& descriptor,
const ConstTensor& weights,
const Optional<ConstTensor>& biases,
const char* name = nullptr) override;
/// Extract the quantized network
INetworkPtr RetrieveFinalNetwork() { return std::move(m_QuantizedNetwork); }
private:
/// Connects the layer to preceeding layers and sets the quantization parameters based on recorded ranges
void SetQuantizedInputConnections(const IConnectableLayer* srcLayer, IConnectableLayer* quantizedLayer);
/// Record the guids so we can easily find the layers later
void RecordLayer(const IConnectableLayer* srcLayer, IConnectableLayer* qLayer);
/// Sets the bias quantization scale based on input and weight scales
ConstTensor CreateQuantizedBias(const IConnectableLayer* srcLayer,
const ConstTensor& weights,
const Optional<ConstTensor>& biases,
std::vector<int32_t>& weightsBacking);
/// Reference to the static range visitor used to retrieve the quantization ranges
const RangeTracker& m_Ranges;
/// Quantized version of the model we are building up
INetworkPtr m_QuantizedNetwork;
/// Mapping from input network guids to quantized network guids
std::unordered_map<LayerGuid, LayerGuid> m_OriginalToQuantizedGuidMap;
/// Mapping from guid to layer in quantized network
std::unordered_map<LayerGuid, IConnectableLayer*> m_QuantizedGuidToLayerMap;
const IQuantizationScheme* m_QuantizationScheme;
const bool m_PreserveType;
};
} //namespace armnn
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