patch/22.02/_debug_layer_8cpp_source.xhtml

 //
 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #include "DebugLayer.hpp"

 #include "LayerCloneBase.hpp"

 #include <armnn/backends/WorkloadData.hpp>
 #include <armnn/backends/WorkloadFactory.hpp>
 #include <armnn/utility/IgnoreUnused.hpp>

 namespace armnn
 {

 DebugLayer::DebugLayer(const char* name)
     : Layer(1, 1, LayerType::Debug, name)
 {}

 std::unique_ptr<IWorkload> DebugLayer::CreateWorkload(const IWorkloadFactory& factory) const
 {
     const Layer& prevLayer = GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer();

     DebugQueueDescriptor descriptor;
     descriptor.m_Guid = prevLayer.GetGuid();
     descriptor.m_LayerName = prevLayer.GetNameStr();
     descriptor.m_SlotIndex = GetInputSlot(0).GetConnectedOutputSlot()->CalculateIndexOnOwner();

     SetAdditionalInfo(descriptor);

     return factory.CreateWorkload(LayerType::Debug, descriptor, PrepInfoAndDesc(descriptor));
 }

 DebugLayer* DebugLayer::Clone(Graph& graph) const
 {
     return CloneBase<DebugLayer>(graph, GetName());
 }

 void DebugLayer::ValidateTensorShapesFromInputs()
 {
     VerifyLayerConnections(1, CHECK_LOCATION());

     const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();

     VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);

     std::vector<TensorShape> inferredShapes = InferOutputShapes({
         GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });

     ARMNN_ASSERT(inferredShapes.size() == 1);

     ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DebugLayer");
 }

 ARMNN_NO_DEPRECATE_WARN_BEGIN
 void DebugLayer::Accept(ILayerVisitor& visitor) const
 {
     // by design debug layers are never in input graphs
     IgnoreUnused(visitor);
     throw armnn::Exception("DebugLayer should never appear in an input graph");
 }
 ARMNN_NO_DEPRECATE_WARN_END

 } // namespace armnn
IgnoreUnused.hpp

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191

+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_NO_DEPRECATE_WARN_BEGIN
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22

+armnn::DebugQueueDescriptor::m_LayerName
std::string m_LayerName
Definition: WorkloadData.hpp:521

+armnn::OutputSlot::GetOwningLayer
Layer & GetOwningLayer() const
Definition: Layer.hpp:118

+armnn::DebugLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DebugLayer.
Definition: DebugLayer.cpp:39

+DebugLayer.hpp

+WorkloadFactory.hpp

+armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:436

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6

+armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14

+armnn::TensorShape
Definition: Tensor.hpp:20

+armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:204

+armnn::Layer::ValidateAndCopyShape
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:396

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:352

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:321

+ARMNN_NO_DEPRECATE_WARN_END
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34

+armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:388

+armnn::Debug
void Debug(const TensorInfo &inputInfo, const T *inputData, LayerGuid guid, const std::string &layerName, unsigned int slotIndex)
Definition: Debug.cpp:19

+armnn::Layer::GetNameStr
const std::string & GetNameStr() const
Definition: Layer.hpp:225

+armnn::DebugLayer
This layer visualizes the data flowing through the network.
Definition: DebugLayer.hpp:13

+ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14

+armnn::InputSlot::GetConnectedOutputSlot
const OutputSlot * GetConnectedOutputSlot() const
Definition: Layer.hpp:56

+armnn::DebugLayer::DebugLayer
DebugLayer(const char *name)
Constructor to create a DebugLayer.
Definition: DebugLayer.cpp:16

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:209

+armnn::Graph
Definition: Graph.hpp:30

+armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:248

+armnn::DebugQueueDescriptor::m_Guid
LayerGuid m_Guid
Definition: WorkloadData.hpp:520

+armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46

+armnn::DebugLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Debug type.
Definition: DebugLayer.cpp:20

+armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:323

+armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0

+armnn::DebugLayer::Clone
DebugLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: DebugLayer.cpp:34

+armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:316

+armnn::DebugQueueDescriptor::m_SlotIndex
unsigned int m_SlotIndex
Definition: WorkloadData.hpp:522

+armnn::DebugLayer::Accept
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
Definition: DebugLayer.cpp:56

+armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1541

+armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:66

+armnn::DebugQueueDescriptor
Definition: WorkloadData.hpp:514

+armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:415

+armnn::Layer
Definition: Layer.hpp:215

+armnn::LayerType::Debug

+WorkloadData.hpp

+LayerCloneBase.hpp

+armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:458

+armnn::Layer::GetGuid
LayerGuid GetGuid() const final
Returns the unique id of the layer.
Definition: Layer.hpp:327

+armnn::OutputSlot::CalculateIndexOnOwner
unsigned int CalculateIndexOnOwner() const override
Definition: Layer.cpp:133

+