DetectionPostProcessLayer.cpp

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//
// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#include "DetectionPostProcessLayer.hpp"
 
#include "LayerCloneBase.hpp"
 
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
 
namespace armnn
{
 
DetectionPostProcessLayer::DetectionPostProcessLayer(const DetectionPostProcessDescriptor& param, const char* name)
    : LayerWithParameters(2, 4, LayerType::DetectionPostProcess, param, name)
{
}
 
std::unique_ptr<IWorkload> DetectionPostProcessLayer::CreateWorkload(const armnn::IWorkloadFactory& factory) const
{
    DetectionPostProcessQueueDescriptor descriptor;
    descriptor.m_Anchors = m_Anchors.get();
    SetAdditionalInfo(descriptor);
 
    return factory.CreateWorkload(LayerType::DetectionPostProcess, descriptor, PrepInfoAndDesc(descriptor));
}
 
DetectionPostProcessLayer* DetectionPostProcessLayer::Clone(Graph& graph) const
{
    auto layer = CloneBase<DetectionPostProcessLayer>(graph, m_Param, GetName());
    layer->m_Anchors = m_Anchors ? m_Anchors : nullptr;
    return std::move(layer);
}
 
void DetectionPostProcessLayer::ValidateTensorShapesFromInputs()
{
    VerifyLayerConnections(2, CHECK_LOCATION());
 
    const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
 
    VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
 
    // on this level constant data should not be released.
    if (!m_Anchors)
    {
        throw armnn::LayerValidationException("DetectionPostProcessLayer: Anchors data should not be null.");
    }
 
    if (GetNumOutputSlots() != 4)
    {
        throw armnn::LayerValidationException("DetectionPostProcessLayer: The layer should return 4 outputs.");
    }
 
    std::vector<TensorShape> inferredShapes = InferOutputShapes(
            { GetInputSlot(0).GetTensorInfo().GetShape(),
              GetInputSlot(1).GetTensorInfo().GetShape() });
 
    if (inferredShapes.size() != 4)
    {
        throw armnn::LayerValidationException("inferredShapes has "
                                              + std::to_string(inferredShapes.size()) +
                                              " element(s) - should only have 4.");
    }
 
    if (std::any_of(inferredShapes.begin(), inferredShapes.end(), [] (auto&& inferredShape) {
        return inferredShape.GetDimensionality() != Dimensionality::Specified;
    }))
    {
        throw armnn::Exception("One of inferredShapes' dimensionalities is not specified.");
    }
 
    ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DetectionPostProcessLayer");
 
    ValidateAndCopyShape(GetOutputSlot(1).GetTensorInfo().GetShape(),
                         inferredShapes[1],
                         m_ShapeInferenceMethod,
                         "DetectionPostProcessLayer", 1);
 
    ValidateAndCopyShape(GetOutputSlot(2).GetTensorInfo().GetShape(),
                         inferredShapes[2],
                         m_ShapeInferenceMethod,
                         "DetectionPostProcessLayer", 2);
 
    ValidateAndCopyShape(GetOutputSlot(3).GetTensorInfo().GetShape(),
                         inferredShapes[3],
                         m_ShapeInferenceMethod,
                         "DetectionPostProcessLayer", 3);
}
 
std::vector<TensorShape> DetectionPostProcessLayer::InferOutputShapes(const std::vector<TensorShape>&) const
{
    unsigned int detectedBoxes = m_Param.m_MaxDetections * m_Param.m_MaxClassesPerDetection;
 
    std::vector<TensorShape> results;
    results.push_back({ 1, detectedBoxes, 4 });
    results.push_back({ 1, detectedBoxes });
    results.push_back({ 1, detectedBoxes });
    results.push_back({ 1 });
    return results;
}
 
Layer::ImmutableConstantTensors DetectionPostProcessLayer::GetConstantTensorsByRef() const
{
    // For API stability DO NOT ALTER order and add new members to the end of vector
    return { m_Anchors };
}
 
void DetectionPostProcessLayer::ExecuteStrategy(IStrategy& strategy) const
{
    ManagedConstTensorHandle managedAnchors(m_Anchors);
    std::vector<armnn::ConstTensor> constTensors { {managedAnchors.GetTensorInfo(), managedAnchors.Map()} };
    strategy.ExecuteStrategy(this, GetParameters(), constTensors, GetName());
}
 
} // namespace armnn