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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "DetectionPostProcessLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/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.CreateDetectionPostProcess(descriptor, PrepInfoAndDesc(descriptor));
}
DetectionPostProcessLayer* DetectionPostProcessLayer::Clone(Graph& graph) const
{
auto layer = CloneBase<DetectionPostProcessLayer>(graph, m_Param, GetName());
layer->m_Anchors = m_Anchors ? std::make_unique<ScopedCpuTensorHandle>(*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.
ARMNN_ASSERT_MSG(m_Anchors != nullptr, "DetectionPostProcessLayer: Anchors data should not be null.");
ARMNN_ASSERT_MSG(GetNumOutputSlots() == 4, "DetectionPostProcessLayer: The layer should return 4 outputs.");
unsigned int detectedBoxes = m_Param.m_MaxDetections * m_Param.m_MaxClassesPerDetection;
const TensorShape& inferredDetectionBoxes = TensorShape({ 1, detectedBoxes, 4 });
const TensorShape& inferredDetectionScores = TensorShape({ 1, detectedBoxes });
const TensorShape& inferredNumberDetections = TensorShape({ 1 });
ValidateAndCopyShape(outputShape, inferredDetectionBoxes, m_ShapeInferenceMethod, "DetectionPostProcessLayer");
ValidateAndCopyShape(GetOutputSlot(1).GetTensorInfo().GetShape(),
inferredDetectionScores,
m_ShapeInferenceMethod,
"DetectionPostProcessLayer", 1);
ValidateAndCopyShape(GetOutputSlot(2).GetTensorInfo().GetShape(),
inferredDetectionScores,
m_ShapeInferenceMethod,
"DetectionPostProcessLayer", 2);
ValidateAndCopyShape(GetOutputSlot(3).GetTensorInfo().GetShape(),
inferredNumberDetections,
m_ShapeInferenceMethod,
"DetectionPostProcessLayer", 3);
}
Layer::ConstantTensors DetectionPostProcessLayer::GetConstantTensorsByRef()
{
return { m_Anchors };
}
void DetectionPostProcessLayer::Accept(ILayerVisitor& visitor) const
{
ConstTensor anchorTensor(m_Anchors->GetTensorInfo(), m_Anchors->GetConstTensor<void>());
visitor.VisitDetectionPostProcessLayer(this, GetParameters(), anchorTensor, GetName());
}
} // namespace armnn
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