ArmNN
 25.11
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DetectionPostProcessLayer.hpp
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1//
2// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#pragma once
7
9
10namespace armnn
11{
12
14
15/// This layer represents a detection postprocess operator.
16class DetectionPostProcessLayer : public LayerWithParameters<DetectionPostProcessDescriptor>
17{
18public:
19 /// A unique pointer to store Anchor values.
20 std::shared_ptr<ConstTensorHandle> m_Anchors;
21
22 /// Makes a workload for the DetectionPostProcess type.
23 /// @param [in] graph The graph where this layer can be found.
24 /// @param [in] factory The workload factory which will create the workload.
25 /// @return A pointer to the created workload, or nullptr if not created.
26 virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
27
28 /// Creates a dynamically-allocated copy of this layer.
29 /// @param [in] graph The graph into which this layer is being cloned.
30 DetectionPostProcessLayer* Clone(Graph& graph) const override;
31
32 /// Check if the input tensor shape(s)
33 /// will lead to a valid configuration of @ref DetectionPostProcessLayer.
34 /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
35 void ValidateTensorShapesFromInputs() override;
36
37 /// The model does not specify the output shapes. The output shapes are calculated from the max_detection and
38 /// max_classes_per_detection parameters in the DetectionPostProcessDescriptor.
39 /// @param [in] inputShapes The input shapes layer has. These are ignored for DetectionPostProcessLayer.
40 /// @return A vector to the inferred output shape.
41 std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
42
43 void ExecuteStrategy(IStrategy& strategy) const override;
44
45protected:
46 /// Constructor to create a DetectionPostProcessLayer.
47 /// @param [in] param DetectionPostProcessDescriptor to configure the detection postprocess.
48 /// @param [in] name Optional name for the layer.
49 DetectionPostProcessLayer(const DetectionPostProcessDescriptor& param, const char* name);
50
51 /// Default destructor
53
54 /// Retrieve the handles to the constant values stored by the layer.
55 /// @return A vector of the constant tensors stored by this layer.
57};
58
59} // namespace armnn
60
ImmutableConstantTensors GetConstantTensorsByRef() const override
Retrieve the handles to the constant values stored by the layer.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
The model does not specify the output shapes.
std::shared_ptr< ConstTensorHandle > m_Anchors
A unique pointer to store Anchor values.
~DetectionPostProcessLayer()=default
Default destructor.
DetectionPostProcessLayer(const DetectionPostProcessDescriptor &param, const char *name)
Constructor to create a DetectionPostProcessLayer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DetectionPostProcessLayer.
DetectionPostProcessLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the DetectionPostProcess type.
std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > > > ImmutableConstantTensors
Definition INetwork.hpp:141
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const DetectionPostProcessDescriptor &param, const char *name)
Copyright (c) 2021 ARM Limited and Contributors.