ArmNN
 25.11
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SwitchLayer.cpp
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1//
2// Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5#include "SwitchLayer.hpp"
6
7#include "LayerCloneBase.hpp"
8
11
12namespace armnn
13{
14
15SwitchLayer::SwitchLayer(const char* name)
16 : Layer(2, 2, LayerType::Switch, name)
17{}
18
19std::unique_ptr<IWorkload> SwitchLayer::CreateWorkload(const IWorkloadFactory& factory) const
20{
21 SwitchQueueDescriptor descriptor;
22 SetAdditionalInfo(descriptor);
23
24 return factory.CreateWorkload(LayerType::Switch, descriptor, PrepInfoAndDesc(descriptor));
25}
26
28{
29 return CloneBase<SwitchLayer>(graph, GetName());
30}
31
33{
35
36 const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
37
39
40 if (GetNumOutputSlots() != 2)
41 {
42 throw armnn::LayerValidationException("SwitchLayer: The layer should return 2 outputs.");
43 }
44
45 // Assuming first input is the Input and second input is the Constant
46 std::vector<TensorShape> inferredShapes = InferOutputShapes({
49
50 if (inferredShapes.size() != 2)
51 {
52 throw armnn::LayerValidationException("inferredShapes has "
53 + std::to_string(inferredShapes.size()) +
54 " element(s) - should only have 2.");
55 }
56
57 ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SwitchLayer");
58
60 GetOutputSlot(1).GetTensorInfo().GetShape(), inferredShapes[1], m_ShapeInferenceMethod, "SwitchLayer", 1);
61}
62
64{
65 strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
66}
67
68} // namespace armnn
#define CHECK_LOCATION()
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition Layer.cpp:614
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition Layer.cpp:410
unsigned int GetNumOutputSlots() const override
Returns the number of connectable output slots.
Definition Layer.hpp:335
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition Layer.hpp:337
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition Layer.hpp:409
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition Layer.cpp:526
Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition Layer.cpp:260
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infer the shape of the output(s) based on the provided input shape(s)
Definition Layer.cpp:432
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition Layer.hpp:339
LayerType * CloneBase(Graph &graph, Params &&... params) const
const char * GetName() const override
Returns the name of the layer.
Definition Layer.hpp:332
virtual const BaseDescriptor & GetParameters() const override
If the layer has a descriptor return it.
Definition Layer.hpp:378
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition Layer.cpp:457
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition Layer.cpp:303
friend class Graph
Definition Layer.hpp:382
ShapeInferenceMethod m_ShapeInferenceMethod
Definition Layer.hpp:441
const TensorInfo & GetTensorInfo() const override
Definition Layer.cpp:100
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of SwitchLayer.
SwitchLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
SwitchLayer(const char *name)
Constructor to create a SwitchLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Switch type.
const TensorShape & GetShape() const
Definition Tensor.hpp:193
Copyright (c) 2021 ARM Limited and Contributors.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition Types.hpp:494
armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const armnn::DataLayout dataLayout, const armnn::DataType dataType)