blob: d6aee6babf6e177c76205edb6b61583685aa88f3 [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "LayerVisitorBase.hpp"
#include <armnn/INetwork.hpp>
#include <armnn/Types.hpp>
#include <map>
namespace armnn
{
// Forward declarations
class StaticRangeVisitor;
/// Visitor object for quantizing layers in a network
class QuantizerVisitor : public LayerVisitorBase<VisitorNoThrowPolicy>
{
public:
QuantizerVisitor(StaticRangeVisitor* ranges);
~QuantizerVisitor() = default;
// Functions to quantize the individual layers, overridden from ILayerVisitor
void VisitInputLayer(const IConnectableLayer *layer, LayerBindingId id, const char *name = nullptr) override;
void VisitAdditionLayer(const IConnectableLayer *layer, const char *name = nullptr) override;
void VisitOutputLayer(const IConnectableLayer *layer, LayerBindingId id, 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;
// 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);
StaticRangeVisitor* m_Ranges; ///< Previously recorded min/max ranges per intermediate tensor
INetworkPtr m_QuantizedNetwork; ///< Quantized version of the model we are building up
std::map<LayerGuid, LayerGuid> m_OldToNewGuidMap; ///< Mapping from input network guids to quantized network guids
std::map<LayerGuid, IConnectableLayer*> m_GuidToLayerMap; ///< Mapping from guid to layer in quantized network
};
} //namespace armnn