ArmNN
 22.05
MergeLayer Class Reference

This layer dequantizes the input tensor. More...

#include <MergeLayer.hpp>

Inheritance diagram for MergeLayer:
Layer IConnectableLayer

Public Member Functions

virtual std::unique_ptr< IWorkloadCreateWorkload (const IWorkloadFactory &factory) const override
 Makes a workload for the Merge type. More...
 
MergeLayerClone (Graph &graph) const override
 Creates a dynamically-allocated copy of this layer. More...
 
void ValidateTensorShapesFromInputs () override
 Check if the input tensor shape(s) will lead to a valid configuration of MergeLayer. More...
 
std::vector< TensorShapeInferOutputShapes (const std::vector< TensorShape > &inputShapes) const override
 Infers the output shapes from given input shapes. More...
 
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept (ILayerVisitor &visitor) const override
 
- Public Member Functions inherited from Layer
 Layer (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
 
 Layer (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, DataLayout layout, const char *name)
 
void ExecuteStrategy (IStrategy &strategy) const override
 Apply a visitor to this layer. More...
 
const std::string & GetNameStr () const
 
const OutputHandlerGetOutputHandler (unsigned int i=0) const
 
OutputHandlerGetOutputHandler (unsigned int i=0)
 
ShapeInferenceMethod GetShapeInferenceMethod () const
 
bool GetAllowExpandedDims () const
 
const std::vector< InputSlot > & GetInputSlots () const
 
const std::vector< OutputSlot > & GetOutputSlots () const
 
std::vector< InputSlot >::iterator BeginInputSlots ()
 
std::vector< InputSlot >::iterator EndInputSlots ()
 
std::vector< OutputSlot >::iterator BeginOutputSlots ()
 
std::vector< OutputSlot >::iterator EndOutputSlots ()
 
bool IsOutputUnconnected ()
 
void ResetPriority () const
 
LayerPriority GetPriority () const
 
LayerType GetType () const override
 Returns the armnn::LayerType of this layer. More...
 
DataType GetDataType () const
 
const BackendIdGetBackendId () const
 
void SetBackendId (const BackendId &id)
 
virtual void CreateTensorHandles (const TensorHandleFactoryRegistry &registry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true)
 
void VerifyLayerConnections (unsigned int expectedConnections, const CheckLocation &location) const
 
virtual void SerializeLayerParameters (ParameterStringifyFunction &fn) const
 Helper to serialize the layer parameters to string. More...
 
virtual void ReleaseConstantData ()
 
template<typename Op >
void OperateOnConstantTensors (Op op)
 
const char * GetName () const override
 Returns the name of the layer. More...
 
unsigned int GetNumInputSlots () const override
 Returns the number of connectable input slots. More...
 
unsigned int GetNumOutputSlots () const override
 Returns the number of connectable output slots. More...
 
const InputSlotGetInputSlot (unsigned int index) const override
 Get a const input slot handle by slot index. More...
 
InputSlotGetInputSlot (unsigned int index) override
 Get the input slot handle by slot index. More...
 
const OutputSlotGetOutputSlot (unsigned int index=0) const override
 Get the const output slot handle by slot index. More...
 
OutputSlotGetOutputSlot (unsigned int index=0) override
 Get the output slot handle by slot index. More...
 
void SetGuid (LayerGuid guid)
 
LayerGuid GetGuid () const final
 Returns the unique id of the layer. More...
 
void AddRelatedLayerName (const std::string layerName)
 
const std::list< std::string > & GetRelatedLayerNames ()
 
virtual void Reparent (Graph &dest, std::list< Layer *>::const_iterator iterator)=0
 
void BackendSelectionHint (Optional< BackendId > backend) final
 Provide a hint for the optimizer as to which backend to prefer for this layer. More...
 
Optional< BackendIdGetBackendHint () const
 
void SetShapeInferenceMethod (ShapeInferenceMethod shapeInferenceMethod)
 
void SetAllowExpandedDims (bool allowExpandedDims)
 
template<typename T >
std::shared_ptr< T > GetAdditionalInformation () const
 
void SetAdditionalInfoForObject (const AdditionalInfoObjectPtr &additionalInfo)
 
virtual const BaseDescriptorGetParameters () const override
 If the layer has a descriptor return it. More...
 
- Public Member Functions inherited from IConnectableLayer
ARMNN_NO_DEPRECATE_WARN_BEGIN ARMNN_DEPRECATED_MSG_REMOVAL_DATE ("Accept is deprecated. The ILayerVisitor that works in conjunction with this " "Accept function is deprecated. Use IStrategy in combination with " "ExecuteStrategy instead, which is an ABI/API stable version of the " "visitor pattern.", "22.05") virtual void Accept(ILayerVisitor &visitor) const =0
 Apply a visitor to this layer. More...
 

Protected Member Functions

 MergeLayer (const char *name)
 Constructor to create a MergeLayer. More...
 
 ~MergeLayer ()=default
 Default destructor. More...
 
- Protected Member Functions inherited from Layer
virtual ~Layer ()=default
 
template<typename QueueDescriptor >
void CollectQueueDescriptorInputs (QueueDescriptor &descriptor, WorkloadInfo &info) const
 
template<typename QueueDescriptor >
void CollectQueueDescriptorOutputs (QueueDescriptor &descriptor, WorkloadInfo &info) const
 
void ValidateAndCopyShape (const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
 
void VerifyShapeInferenceType (const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
 
template<typename QueueDescriptor >
WorkloadInfo PrepInfoAndDesc (QueueDescriptor &descriptor) const
 Helper function to reduce duplication in *LayerCreateWorkload. More...
 
template<typename LayerType , typename ... Params>
LayerTypeCloneBase (Graph &graph, Params &&... params) const
 
virtual ConstantTensors GetConstantTensorsByRef () override
 
void SetAdditionalInfo (QueueDescriptor &descriptor) const
 
- Protected Member Functions inherited from IConnectableLayer
 ~IConnectableLayer ()
 Objects are not deletable via the handle. More...
 

Additional Inherited Members

- Public Types inherited from IConnectableLayer
using ConstantTensors = std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >>
 
- Protected Attributes inherited from Layer
AdditionalInfoObjectPtr m_AdditionalInfoObject
 
std::vector< OutputHandlerm_OutputHandlers
 
ShapeInferenceMethod m_ShapeInferenceMethod
 

Detailed Description

This layer dequantizes the input tensor.

Definition at line 13 of file MergeLayer.hpp.

Constructor & Destructor Documentation

◆ MergeLayer()

MergeLayer ( const char *  name)
protected

Constructor to create a MergeLayer.

Parameters
[in]nameOptional name for the layer.

Definition at line 15 of file MergeLayer.cpp.

References armnn::Merge.

16  : Layer(2, 1, LayerType::Merge, name)
17 {}
Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition: Layer.cpp:247

◆ ~MergeLayer()

~MergeLayer ( )
protecteddefault

Default destructor.

Member Function Documentation

◆ Accept()

ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept ( ILayerVisitor &  visitor) const
override

Definition at line 62 of file MergeLayer.cpp.

References ARMNN_NO_DEPRECATE_WARN_END, and Layer::GetName().

63 {
64  visitor.VisitMergeLayer(this, GetName());
65 }
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:317

◆ Clone()

MergeLayer * Clone ( Graph graph) const
overridevirtual

Creates a dynamically-allocated copy of this layer.

Parameters
[in]graphThe graph into which this layer is being cloned.

Implements Layer.

Definition at line 25 of file MergeLayer.cpp.

References Layer::GetName().

26 {
27  return CloneBase<MergeLayer>(graph, GetName());
28 }
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:317

◆ CreateWorkload()

std::unique_ptr< IWorkload > CreateWorkload ( const IWorkloadFactory factory) const
overridevirtual

Makes a workload for the Merge type.

Parameters
[in]graphThe graph where this layer can be found.
[in]factoryThe workload factory which will create the workload.
Returns
A pointer to the created workload, or nullptr if not created.

Implements Layer.

Definition at line 19 of file MergeLayer.cpp.

References armnn::IgnoreUnused().

20 {
21  IgnoreUnused(factory);
22  return nullptr;
23 }
void IgnoreUnused(Ts &&...)

◆ InferOutputShapes()

std::vector< TensorShape > InferOutputShapes ( const std::vector< TensorShape > &  inputShapes) const
overridevirtual

Infers the output shapes from given input shapes.

Parameters
[in]inputShapesThe input shapes layer has.
Returns
A vector to the inferred output shape.

Reimplemented from Layer.

Definition at line 48 of file MergeLayer.cpp.

References ARMNN_ASSERT, and ARMNN_NO_DEPRECATE_WARN_BEGIN.

Referenced by MergeLayer::ValidateTensorShapesFromInputs().

49 {
50  ARMNN_ASSERT(inputShapes.size() == 2);
51 
52  ConditionalThrowIfNotEqual<LayerValidationException>(
53  "MergeLayer: TensorShapes set on inputs do not match",
54  inputShapes[0],
55  inputShapes[1]
56  );
57 
58  return {inputShapes[0]};
59 }
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )
overridevirtual

Check if the input tensor shape(s) will lead to a valid configuration of MergeLayer.

Parameters
[in]shapeInferenceMethodIndicates if output shape shall be overwritten or just validated.

Implements Layer.

Definition at line 30 of file MergeLayer.cpp.

References ARMNN_ASSERT, CHECK_LOCATION, InputSlot::GetConnection(), Layer::GetInputSlot(), Layer::GetOutputSlot(), TensorInfo::GetShape(), IOutputSlot::GetTensorInfo(), OutputSlot::GetTensorInfo(), MergeLayer::InferOutputShapes(), Layer::m_ShapeInferenceMethod, Layer::ValidateAndCopyShape(), Layer::VerifyLayerConnections(), and Layer::VerifyShapeInferenceType().

31 {
33 
34  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
35 
37 
38  std::vector<TensorShape> inferredShapes = InferOutputShapes({
41  });
42 
43  ARMNN_ASSERT(inferredShapes.size() == 1);
44 
45  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "MergeLayer");
46 }
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:491
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:204
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:422
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes.
Definition: MergeLayer.cpp:48
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:322
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:324
virtual const TensorInfo & GetTensorInfo() const =0
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:421

The documentation for this class was generated from the following files: