AddBroadcastReshapeLayerImpl Class Reference

#include <AddBroadcastReshapeLayer.hpp>

Public Member Functions
void	Run (Graph &graph, Layer &layer) const
	Run for every ElementwiseBaseLayer. Add Broadcast reshape layer if the inputs shape are different. More...

Protected Member Functions
	AddBroadcastReshapeLayerImpl ()=default
	~AddBroadcastReshapeLayerImpl ()=default

Detailed Description

Definition at line 26 of file AddBroadcastReshapeLayer.hpp.

Constructor & Destructor Documentation

AddBroadcastReshapeLayerImpl()

AddBroadcastReshapeLayerImpl ( )

protecteddefault

Referenced by AddBroadcastReshapeLayerImpl::Run().

~AddBroadcastReshapeLayerImpl()

~AddBroadcastReshapeLayerImpl ( )

protecteddefault

Referenced by AddBroadcastReshapeLayerImpl::Run().

Member Function Documentation

Run()

void Run ( Graph &  graph, Layer &  layer  ) const

inline

Run for every ElementwiseBaseLayer. Add Broadcast reshape layer if the inputs shape are different.

Definition at line 30 of file AddBroadcastReshapeLayer.hpp.

References AddBroadcastReshapeLayerImpl::AddBroadcastReshapeLayerImpl(), InputSlot::GetConnectedOutputSlot(), Layer::GetInputSlot(), Layer::GetNameStr(), TensorInfo::GetNumDimensions(), Layer::GetOutputSlot(), TensorInfo::GetShape(), OutputSlot::GetTensorInfo(), Layer::GetType(), Graph::InsertNewLayer(), OutputSlot::IsTensorInfoSet(), TensorInfo::SetShape(), OutputSlot::SetTensorInfo(), and AddBroadcastReshapeLayerImpl::~AddBroadcastReshapeLayerImpl().

    {
        if (std::find(broadcastOps.begin(), broadcastOps.end(), layer.GetType()) != broadcastOps.end())
        {
            layer.GetInputSlot(0).GetConnectedOutputSlot()->IsTensorInfoSet();
            layer.GetInputSlot(1).GetConnectedOutputSlot()->IsTensorInfoSet();

            const TensorInfo &inputInfo0 = layer.GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo();
            const TensorInfo &inputInfo1 = layer.GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo();

            if (inputInfo0.GetNumDimensions() == inputInfo1.GetNumDimensions())
            {
                return;
            }

            unsigned int reshapeSlot = 1;
            TensorInfo reshapeInfo = inputInfo1;
            TensorInfo inputInfo = inputInfo0;

            if (inputInfo0.GetNumDimensions() < inputInfo1.GetNumDimensions())
            {
                reshapeSlot = 0;
                reshapeInfo = inputInfo0;
                inputInfo = inputInfo1;
            }

            uint32_t numDimensions = inputInfo.GetNumDimensions();

            std::vector<unsigned> reshapedDim;
            for (unsigned int i = 0; i < reshapeInfo.GetNumDimensions(); ++i)
            {
                reshapedDim.push_back(reshapeInfo.GetShape()[i]);
            }

            std::vector<unsigned int> reshapedDimensions(numDimensions, 1);
            std::copy_backward (reshapedDim.begin(), reshapedDim.end(), reshapedDimensions.end());

            reshapeInfo.SetShape(armnn::TensorShape{ numDimensions, reshapedDimensions.data() });
            const std::string layerName = "Reshape_for:" + layer.GetNameStr() + "-" + std::to_string(reshapeSlot);
            const ReshapeDescriptor descriptor{reshapeInfo.GetShape()};
            ReshapeLayer *reshapeLayer = graph.InsertNewLayer<ReshapeLayer>(layer.GetInputSlot(reshapeSlot),
                                                                            descriptor,
                                                                            layerName.c_str());
            reshapeLayer->GetOutputSlot().SetTensorInfo(reshapeInfo);
        }
    }

---

The documentation for this class was generated from the following file:

• src/armnn/optimizations/AddBroadcastReshapeLayer.hpp