From de36e4a9c299028e792c3a5bd99ad0816d806077 Mon Sep 17 00:00:00 2001 From: Ryan OShea Date: Fri, 13 Mar 2020 16:26:19 +0000 Subject: IVGCVSW-3726 Upload ArmNN Doxygen files * Upload current ArmNN Doxygen files Signed-off-by: Ryan OShea Change-Id: I8989ed16ee40a99a4495b100bd009cf3e24a7285 --- .../classarmnn_1_1_convert_fp32_to_fp16_layer.html | 470 +++++++++++++++++++++ 1 file changed, 470 insertions(+) create mode 100644 Documentation/classarmnn_1_1_convert_fp32_to_fp16_layer.html (limited to 'Documentation/classarmnn_1_1_convert_fp32_to_fp16_layer.html') diff --git a/Documentation/classarmnn_1_1_convert_fp32_to_fp16_layer.html b/Documentation/classarmnn_1_1_convert_fp32_to_fp16_layer.html new file mode 100644 index 0000000000..06bc530439 --- /dev/null +++ b/Documentation/classarmnn_1_1_convert_fp32_to_fp16_layer.html @@ -0,0 +1,470 @@ + + + + + + + +ArmNN: ConvertFp32ToFp16Layer Class Reference + + + + + + + + + + + + + + +
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ArmNN +  NotReleased +
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+Public Member Functions | +Protected Member Functions | +List of all members
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+
ConvertFp32ToFp16Layer Class Reference
+
+
+ +

This layer converts data type Float 32 to Float 16. + More...

+ +

#include <ConvertFp32ToFp16Layer.hpp>

+
+Inheritance diagram for ConvertFp32ToFp16Layer:
+
+
+ + +Layer +IConnectableLayer + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Public Member Functions

virtual std::unique_ptr< IWorkload > CreateWorkload (const IWorkloadFactory &factory) const override
 
ConvertFp32ToFp16Layer * Clone (Graph &graph) const override
 
void ValidateTensorShapesFromInputs () override
 
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)
 
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
 
virtual void SerializeLayerParameters (ParameterStringifyFunction &fn) const
 
virtual void ReleaseConstantData ()
 
template<typename Op >
void OperateOnConstantTensors (Op op)
 
const char * GetName () const override
 
unsigned int GetNumInputSlots () const override
 
unsigned int GetNumOutputSlots () const override
 
const InputSlot & GetInputSlot (unsigned int index) const override
 
InputSlot & GetInputSlot (unsigned int index) override
 
const OutputSlot & GetOutputSlot (unsigned int index=0) const override
 
OutputSlot & GetOutputSlot (unsigned int index=0) override
 
void SetGuid (LayerGuid guid)
 
LayerGuid GetGuid () const final
 
void AddRelatedLayerName (const std::string layerName)
 
const std::list< std::string > & GetRelatedLayerNames ()
 
virtual void Reparent (Graph &dest, std::list< Layer *>::const_iterator iterator)=0
 
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+Protected Member Functions

 ConvertFp32ToFp16Layer (const char *name)
 
 ~ConvertFp32ToFp16Layer ()=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
 
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

- Protected Types inherited from Layer
using ConstantTensors = std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >>
 
- Protected Attributes inherited from Layer
std::vector< OutputHandler > m_OutputHandlers
 
+

Detailed Description

+

This layer converts data type Float 32 to Float 16.

+ +

Definition at line 13 of file ConvertFp32ToFp16Layer.hpp.

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Constructor & Destructor Documentation

+ +

◆ ConvertFp32ToFp16Layer()

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ConvertFp32ToFp16Layer (const char * name)
+ 		+protected
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+

Constructor to create a ConvertFp32ToFp16Layer.

Parameters
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[in]nameOptional name for the layer.
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+
+ +

Definition at line 16 of file ConvertFp32ToFp16Layer.cpp.

+ +

References armnn::ConvertFp32ToFp16.

+
17  : Layer(1, 1, LayerType::ConvertFp32ToFp16, name)
18 {
19 }
armnn::Layer::Layer
Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition: Layer.cpp:212
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◆ ~ConvertFp32ToFp16Layer()

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~ConvertFp32ToFp16Layer ()
+ 		+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
+
+ +

Implements IConnectableLayer.

+ +

Definition at line 46 of file ConvertFp32ToFp16Layer.cpp.

+
47 {
48  // These conversion layers are only inserted by the
49  // optimizer and so will never be in an input graph.
50  boost::ignore_unused(visitor);
51  throw armnn::Exception("ConvertFp32ToFp16Layer should never appear in an input graph");
52 }
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
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◆ Clone()

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ConvertFp32ToFp16Layer * Clone (Graph & graph) const
+ 		+overridevirtual
+
+

Creates a dynamically-allocated copy of this layer.

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

Implements Layer.

+ +

Definition at line 27 of file ConvertFp32ToFp16Layer.cpp.

+ +

References Layer::GetName().

+
28 {
29  return CloneBase<ConvertFp32ToFp16Layer>(graph, GetName());
30 }
armnn::Layer::GetName
const char * GetName() const override
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 ConvertFp32ToFp16 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 21 of file ConvertFp32ToFp16Layer.cpp.

+ +

References IWorkloadFactory::CreateConvertFp32ToFp16(), and Layer::PrepInfoAndDesc().

+
22 {
23  ConvertFp32ToFp16QueueDescriptor descriptor;
24  return factory.CreateConvertFp32ToFp16(descriptor, PrepInfoAndDesc(descriptor));
25 }
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:344
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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 ConvertFp32ToFp16Layer.

+ +

Implements Layer.

+ +

Definition at line 32 of file ConvertFp32ToFp16Layer.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  "ConvertFp32ToFp16Layer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
42  GetOutputSlot(0).GetTensorInfo().GetShape(),
43  inferredShapes[0]);
44 }
armnn::Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Definition: Layer.cpp:370
+
armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0
+
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:169
+
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:337
+
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:88
+
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:63
+
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Definition: Layer.hpp:312
+
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Definition: Layer.hpp:310
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+
+
+
The documentation for this class was generated from the following files: +
+
+ + + + -- cgit v1.2.1