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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/backends/OptimizationViews.hpp>
namespace armnn
{
namespace
{
//
// this helper only works if all layers where the inputs connect to are not selected
//
SubgraphView::InputSlots CreateInputsFrom(const std::vector<Layer*>& layers)
{
SubgraphView::InputSlots result;
for (auto&& layer : layers)
{
for (auto&& it = layer->BeginInputSlots(); it != layer->EndInputSlots(); ++it)
{
result.push_back(&(*it));
}
}
return result;
}
//
// this helper only works if all layers where the outputs connect to are not selected
//
SubgraphView::OutputSlots CreateOutputsFrom(const std::vector<Layer*>& layers)
{
SubgraphView::OutputSlots result;
for (auto&& layer : layers)
{
for (auto&& it = layer->BeginOutputSlots(); it != layer->EndOutputSlots(); ++it)
{
result.push_back(&(*it));
}
}
return result;
}
} // namespace
inline const TensorInfo GetOverriddenDataType(const TensorInfo& info, Optional<DataType> type)
{
if (!type)
{
return info;
}
return TensorInfo(info.GetShape(), type.value(), info.GetQuantizationScale(), info.GetQuantizationOffset());
}
inline armnn::Optional<armnn::DataType> GetOptionalBiasTypeFromWeightsType(armnn::Optional<armnn::DataType> weightsType)
{
if (!weightsType)
{
return weightsType;
}
switch(weightsType.value())
{
case armnn::DataType::BFloat16:
case armnn::DataType::Float16:
case armnn::DataType::Float32:
return weightsType;
case armnn::DataType::QAsymmS8:
return armnn::DataType::Signed32;
case armnn::DataType::QAsymmU8:
return armnn::DataType::Signed32;
case armnn::DataType::QSymmS16:
return armnn::DataType::Signed32;
default:
ARMNN_ASSERT_MSG(false, "GetBiasTypeFromWeightsType(): Unsupported data type.");
}
return armnn::EmptyOptional();
}
template<typename LayerType>
LayerType* FuseLayerWithoutParameters(OptimizationViews& optimizationViews,
LayerType* baseLayer,
ActivationLayer* activationLayer,
ActivationDescriptor& activationDesc,
std::string name)
{
LayerType* replacementLayer = optimizationViews.GetGraph().AddLayer<LayerType>(name.c_str());
replacementLayer->SetAdditionalInfoForObject(std::make_shared<ActivationDescriptor>(activationDesc));
SubgraphView substitutionSubgraph(CreateInputsFrom({baseLayer}),
CreateOutputsFrom({activationLayer}),
{baseLayer, activationLayer});
SubgraphView replacementSubgraph(replacementLayer);
optimizationViews.AddSubstitution({substitutionSubgraph, replacementSubgraph});
return replacementLayer;
}
template<typename LayerType>
LayerType* FuseLayerWithParameters(OptimizationViews& optimizationViews,
LayerType* baseLayer,
ActivationLayer* activationLayer,
ActivationDescriptor& activationDesc,
std::string name)
{
LayerType* replacementLayer = optimizationViews.GetGraph().AddLayer<LayerType>(baseLayer->GetParameters(),
name.c_str());
replacementLayer->SetAdditionalInfoForObject(std::make_shared<ActivationDescriptor>(activationDesc));
SubgraphView substitutionSubgraph(CreateInputsFrom({baseLayer}),
CreateOutputsFrom({activationLayer}),
{baseLayer, activationLayer});
SubgraphView replacementSubgraph(replacementLayer);
optimizationViews.AddSubstitution({substitutionSubgraph, replacementSubgraph});
return replacementLayer;
}
template<typename LayerType>
LayerType* FuseLayerWithWeightsAndBiases(OptimizationViews& optimizationViews,
LayerType* baseLayer,
ActivationLayer* activationLayer,
ActivationDescriptor& activationDesc,
std::string name)
{
LayerType* replacementLayer = FuseLayerWithParameters(optimizationViews,
baseLayer,
activationLayer,
activationDesc,
name);
replacementLayer->m_Weight = std::move(baseLayer->m_Weight);
replacementLayer->m_Bias = std::move(baseLayer->m_Bias);
return replacementLayer;
}
} // namespace armnn
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