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 --- .../classarmnn_1_1_layer_with_parameters.xhtml | 531 --------------------- 1 file changed, 531 deletions(-) delete mode 100644 Documentation/classarmnn_1_1_layer_with_parameters.xhtml (limited to 'Documentation/classarmnn_1_1_layer_with_parameters.xhtml') diff --git a/Documentation/classarmnn_1_1_layer_with_parameters.xhtml b/Documentation/classarmnn_1_1_layer_with_parameters.xhtml deleted file mode 100644 index 9c0df896ab..0000000000 --- a/Documentation/classarmnn_1_1_layer_with_parameters.xhtml +++ /dev/null @@ -1,531 +0,0 @@ - - - - - - - - - - - - - -ArmNN: LayerWithParameters< Parameters > Class Template Reference - - - - - - - - - - - - - - - - -
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LayerWithParameters< Parameters > Class Template Reference
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#include <LayerWithParameters.hpp>

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-Inheritance diagram for LayerWithParameters< Parameters >:
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-Public Types

using DescriptorType = Parameters
 
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-Public Member Functions

const Parameters & 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 OutputHandlerGetOutputHandler (unsigned int i=0) const
 
OutputHandlerGetOutputHandler (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 BackendIdGetBackendId () const
 
void SetBackendId (const BackendId &id)
 
virtual std::unique_ptr< IWorkloadCreateWorkload (const IWorkloadFactory &factory) const =0
 
virtual void CreateTensorHandles (const TensorHandleFactoryRegistry &registry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true)
 
virtual LayerClone (Graph &graph) const =0
 Creates a dynamically-allocated copy of this layer. More...
 
void VerifyLayerConnections (unsigned int expectedConnections, const CheckLocation &location) const
 
virtual void ValidateTensorShapesFromInputs ()=0
 
std::vector< TensorShapeInferOutputShapes (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 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
 
- Public Member Functions inherited from IConnectableLayer
virtual void Accept (ILayerVisitor &visitor) const =0
 Apply a visitor to this layer. More...
 
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-Protected Member Functions

 LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const Parameters &param, const char *name)
 
 ~LayerWithParameters ()=default
 
template<typename QueueDescriptor >
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>
LayerTypeCloneBase (Graph &graph, Params &&... params) const
 
virtual ConstantTensors GetConstantTensorsByRef ()
 
- Protected Member Functions inherited from IConnectableLayer
 ~IConnectableLayer ()
 Objects are not deletable via the handle. More...
 
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-Protected Attributes

Parameters m_Param
 The parameters for the layer (not including tensor-valued weights etc.). More...
 
- Protected Attributes inherited from Layer
std::vector< OutputHandlerm_OutputHandlers
 
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-Additional Inherited Members

- Protected Types inherited from Layer
using ConstantTensors = std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >>
 
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Detailed Description

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template<typename Parameters>
-class armnn::LayerWithParameters< Parameters >

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Definition at line 13 of file LayerWithParameters.hpp.

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Member Typedef Documentation

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◆ DescriptorType

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using DescriptorType = Parameters
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Definition at line 16 of file LayerWithParameters.hpp.

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Constructor & Destructor Documentation

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◆ LayerWithParameters()

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LayerWithParameters (unsigned int numInputSlots,
unsigned int numOutputSlots,
LayerType type,
const Parameters & param,
const char * name 
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Definition at line 29 of file LayerWithParameters.hpp.

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34  : Layer(numInputSlots, numOutputSlots, type, name)
35  , m_Param(param)
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Parameters m_Param
The parameters for the layer (not including tensor-valued weights etc.).
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Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition: Layer.cpp:213
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◆ ~LayerWithParameters()

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~LayerWithParameters ()
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Member Function Documentation

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◆ GetParameters()

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const Parameters& GetParameters () const
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Definition at line 18 of file LayerWithParameters.hpp.

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Referenced by BOOST_AUTO_TEST_CASE().

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18 { return m_Param; }
Parameters m_Param
The parameters for the layer (not including tensor-valued weights etc.).
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◆ PrepInfoAndDesc()

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WorkloadInfo PrepInfoAndDesc (QueueDescriptordescriptor) const
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Helper function to reduce duplication in *LayerCreateWorkload.

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Definition at line 43 of file LayerWithParameters.hpp.

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44  {
45  descriptor.m_Parameters = m_Param;
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Parameters m_Param
The parameters for the layer (not including tensor-valued weights etc.).
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WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:351
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◆ SerializeLayerParameters()

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void SerializeLayerParameters (ParameterStringifyFunctionfn) const
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Helper to serialize the layer parameters to string (currently used in DotSerializer and company).

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Reimplemented from Layer.

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Definition at line 22 of file LayerWithParameters.hpp.

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Referenced by DepthwiseConvolution2dLayer::SerializeLayerParameters(), and Convolution2dLayer::SerializeLayerParameters().

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Parameters m_Param
The parameters for the layer (not including tensor-valued weights etc.).
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virtual void SerializeLayerParameters(ParameterStringifyFunction &fn) const
Helper to serialize the layer parameters to string.
Definition: Layer.cpp:398
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static void Serialize(ParameterStringifyFunction &, const LayerParameter &)
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Member Data Documentation

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◆ m_Param

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Parameters m_Param
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