From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- ...assarmnn_1_1_instance_normalization_layer.xhtml | 547 +++++++++++++++++++++ 1 file changed, 547 insertions(+) create mode 100644 20.02/classarmnn_1_1_instance_normalization_layer.xhtml (limited to '20.02/classarmnn_1_1_instance_normalization_layer.xhtml') diff --git a/20.02/classarmnn_1_1_instance_normalization_layer.xhtml b/20.02/classarmnn_1_1_instance_normalization_layer.xhtml new file mode 100644 index 0000000000..d8e1453f82 --- /dev/null +++ b/20.02/classarmnn_1_1_instance_normalization_layer.xhtml @@ -0,0 +1,547 @@ + + + + + + + + + + + + + +ArmNN: InstanceNormalizationLayer Class Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  20.02 +
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+Public Member Functions | +Protected Member Functions | +List of all members
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+
InstanceNormalizationLayer Class Reference
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+ +

This layer represents an instance normalization operation. + More...

+ +

#include <InstanceNormalizationLayer.hpp>

+
+Inheritance diagram for InstanceNormalizationLayer:
+
+
+ + +LayerWithParameters< InstanceNormalizationDescriptor > +Layer +IConnectableLayer + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Public Member Functions

virtual std::unique_ptr< IWorkload > CreateWorkload (const IWorkloadFactory &factory) const override
 Makes a workload for the InstanceNormalization type. More...
 
InstanceNormalizationLayer * Clone (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 InstanceNormalizationLayer. More...
 
void Accept (ILayerVisitor &visitor) const override
 Apply a visitor to this layer. More...
 
- Public Member Functions inherited from LayerWithParameters< InstanceNormalizationDescriptor >
const InstanceNormalizationDescriptor & GetParameters () const
 
void SerializeLayerParameters (ParameterStringifyFunction &fn) const override
 Helper to serialize the layer parameters to string (currently used in DotSerializer and company). More...
 
- 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)
 
const std::string & GetNameStr () const
 
const OutputHandler & GetOutputHandler (unsigned int i=0) const
 
OutputHandler & GetOutputHandler (unsigned int i=0)
 
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
 
DataType GetDataType () const
 
const BackendId & GetBackendId () 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
 
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) 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 InputSlot & GetInputSlot (unsigned int index) const override
 Get a const input slot handle by slot index. More...
 
InputSlot & GetInputSlot (unsigned int index) override
 Get the input slot handle by slot index. More...
 
const OutputSlot & GetOutputSlot (unsigned int index=0) const override
 Get the const output slot handle by slot index. More...
 
OutputSlot & GetOutputSlot (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< BackendId > GetBackendHint () const
 
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+Protected Member Functions

 InstanceNormalizationLayer (const InstanceNormalizationDescriptor &param, const char *name)
 Constructor to create a InstanceNormalizationLayer. More...
 
 ~InstanceNormalizationLayer ()=default
 Default destructor. More...
 
- Protected Member Functions inherited from LayerWithParameters< InstanceNormalizationDescriptor >
 LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const InstanceNormalizationDescriptor &param, const char *name)
 
 ~LayerWithParameters ()=default
 
WorkloadInfo PrepInfoAndDesc (QueueDescriptor &descriptor) const
 Helper function to reduce duplication in *LayerCreateWorkload. 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
 
template<typename QueueDescriptor >
WorkloadInfo PrepInfoAndDesc (QueueDescriptor &descriptor) const
 Helper function to reduce duplication in *LayerCreateWorkload. More...
 
template<typename LayerType , typename ... Params>
LayerType * CloneBase (Graph &graph, Params &&... params) const
 
virtual ConstantTensors GetConstantTensorsByRef ()
 
- Protected Member Functions inherited from IConnectableLayer
 ~IConnectableLayer ()
 Objects are not deletable via the handle. More...
 
+ + + + + + + + + + + + + + +

+Additional Inherited Members

- Public Types inherited from LayerWithParameters< InstanceNormalizationDescriptor >
using DescriptorType = InstanceNormalizationDescriptor
 
- Protected Types inherited from Layer
using ConstantTensors = std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >>
 
- Protected Attributes inherited from LayerWithParameters< InstanceNormalizationDescriptor >
InstanceNormalizationDescriptor m_Param
 The parameters for the layer (not including tensor-valued weights etc.). More...
 
- Protected Attributes inherited from Layer
std::vector< OutputHandler > m_OutputHandlers
 
+

Detailed Description

+

This layer represents an instance normalization operation.

+ +

Definition at line 13 of file InstanceNormalizationLayer.hpp.

+

Constructor & Destructor Documentation

+ +

◆ InstanceNormalizationLayer()

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InstanceNormalizationLayer (const InstanceNormalizationDescriptor & param,
const char * name 
)
+ 		+protected
+
+ +

Constructor to create a InstanceNormalizationLayer.

+
Parameters
+ + + +
[in]paramInstanceNormalizationDescriptor to configure the Instance normalization operation.
[in]nameOptional name for the layer.
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+
+ +

Definition at line 16 of file InstanceNormalizationLayer.cpp.

+ +

References armnn::InstanceNormalization.

+
17  : LayerWithParameters(1, 1, LayerType::InstanceNormalization, param, name)
18 {
19 }
armnn::LayerWithParameters< InstanceNormalizationDescriptor >::LayerWithParameters
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const InstanceNormalizationDescriptor &param, const char *name)
Definition: LayerWithParameters.hpp:29
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◆ ~InstanceNormalizationLayer()

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~InstanceNormalizationLayer ()
+ 		+protecteddefault
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+ +

Default destructor.

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+
+

Member Function Documentation

+ +

◆ Accept()

+ +
+
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+ + + + + + + + +
void Accept (ILayerVisitor & visitor) const
+ 		+overridevirtual
+
+ +

Apply a visitor to this layer.

+ +

Implements IConnectableLayer.

+ +

Definition at line 46 of file InstanceNormalizationLayer.cpp.

+ +

References Layer::GetName(), LayerWithParameters< InstanceNormalizationDescriptor >::GetParameters(), and ILayerVisitor::VisitInstanceNormalizationLayer().

+
47 {
48  visitor.VisitInstanceNormalizationLayer(this, GetParameters(), GetName());
49 }
armnn::LayerWithParameters< InstanceNormalizationDescriptor >::GetParameters
const InstanceNormalizationDescriptor & GetParameters() const
Definition: LayerWithParameters.hpp:18
+
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:305
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+ +

◆ Clone()

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InstanceNormalizationLayer * 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 27 of file InstanceNormalizationLayer.cpp.

+ +

References Layer::GetName(), and LayerWithParameters< InstanceNormalizationDescriptor >::m_Param.

+
28 {
29  return CloneBase<InstanceNormalizationLayer>(graph, m_Param, GetName());
30 }
armnn::LayerWithParameters< InstanceNormalizationDescriptor >::m_Param
InstanceNormalizationDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:50
+
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:305
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+
+
+ +

◆ CreateWorkload()

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

Makes a workload for the InstanceNormalization type.

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

Implements Layer.

+ +

Definition at line 21 of file InstanceNormalizationLayer.cpp.

+ +

References IWorkloadFactory::CreateInstanceNormalization(), and LayerWithParameters< InstanceNormalizationDescriptor >::PrepInfoAndDesc().

+
22 {
23  InstanceNormalizationQueueDescriptor descriptor;
24  return factory.CreateInstanceNormalization(descriptor, PrepInfoAndDesc(descriptor));
25 }
armnn::LayerWithParameters< InstanceNormalizationDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: LayerWithParameters.hpp:43
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+
+ +

◆ ValidateTensorShapesFromInputs()

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+
+ + + + + +
+ + + + + + + +
void ValidateTensorShapesFromInputs ()
+ 		+overridevirtual
+
+ +

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

+ +

Implements Layer.

+ +

Definition at line 32 of file InstanceNormalizationLayer.cpp.

+ +

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

+
33 {
34  VerifyLayerConnections(1, CHECK_LOCATION());
35 
36  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
37 
38  BOOST_ASSERT(inferredShapes.size() == 1);
39 
40  ConditionalThrowIfNotEqual<LayerValidationException>(
41  "InstanceNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
42  GetOutputSlot(0).GetTensorInfo().GetShape(),
43  inferredShapes[0]);
44 }
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:88
+
armnn::Layer::InferOutputShapes
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:371
+
armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:199
+
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:338
+
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:310
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:192
+
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:312
+
armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
+
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
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+
+
+
The documentation for this class was generated from the following files: +
+
+ + + + -- cgit v1.2.1