| // |
| // 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 |