ArmNN
 24.08
DebugLayer.cpp
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1 //
2 // Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "DebugLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
11 
12 namespace armnn
13 {
14 
15 DebugLayer::DebugLayer(const char* name)
16  : Layer(1, 1, LayerType::Debug, name),
17  m_ToFile(false)
18 {}
19 
20 DebugLayer::DebugLayer(const char* name, bool toFile)
21  : Layer(1, 1, LayerType::Debug, name),
22  m_ToFile(toFile)
23 {}
24 
25 std::unique_ptr<IWorkload> DebugLayer::CreateWorkload(const IWorkloadFactory& factory) const
26 {
27  const Layer& prevLayer = GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer();
28 
29  DebugQueueDescriptor descriptor;
30  descriptor.m_Guid = prevLayer.GetGuid();
31  descriptor.m_LayerName = prevLayer.GetNameStr();
33  descriptor.m_LayerOutputToFile = m_ToFile;
34 
35  SetAdditionalInfo(descriptor);
36 
37  return factory.CreateWorkload(LayerType::Debug, descriptor, PrepInfoAndDesc(descriptor));
38 }
39 
41 {
42  return CloneBase<DebugLayer>(graph, GetName());
43 }
44 
46 {
48 
49  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
50 
52 
53  std::vector<TensorShape> inferredShapes = InferOutputShapes({
55 
56  if (inferredShapes.size() != 1)
57  {
58  throw armnn::Exception("inferredShapes has "
59  + std::to_string(inferredShapes.size()) +
60  " elements - should only have 1.");
61  }
62 
63  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DebugLayer");
64 }
65 
67 {
68  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
69 }
70 
71 } // namespace armnn
armnn::DebugLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Debug type.
Definition: DebugLayer.cpp:25
armnn::DebugQueueDescriptor
Definition: WorkloadData.hpp:484
armnn::DebugQueueDescriptor::m_LayerOutputToFile
bool m_LayerOutputToFile
Definition: WorkloadData.hpp:494
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
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:457
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:339
armnn::DebugLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DebugLayer.
Definition: DebugLayer.cpp:45
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
WorkloadFactory.hpp
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::Layer
Definition: Layer.hpp:230
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:614
armnn::OutputSlot::CalculateIndexOnOwner
unsigned int CalculateIndexOnOwner() const override
Definition: Layer.cpp:172
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::DebugQueueDescriptor::m_SlotIndex
unsigned int m_SlotIndex
Definition: WorkloadData.hpp:492
armnn::OutputSlot::GetOwningLayer
Layer & GetOwningLayer() const
Definition: Layer.hpp:132
armnn::DebugQueueDescriptor::m_Guid
LayerGuid m_Guid
Definition: WorkloadData.hpp:490
armnn::LayerType::Debug
@ Debug
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: Layer.hpp:409
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Layer::GetGuid
LayerGuid GetGuid() const final
Returns the unique id of the layer.
Definition: Layer.hpp:343
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::DebugLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: DebugLayer.cpp:66
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
armnn::DebugQueueDescriptor::m_LayerName
std::string m_LayerName
Definition: WorkloadData.hpp:491
armnn::Layer::GetNameStr
const std::string & GetNameStr() const
Definition: Layer.hpp:240
armnn::DebugLayer::Clone
DebugLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: DebugLayer.cpp:40
armnn::Layer::GetParameters
virtual const BaseDescriptor & GetParameters() const override
If the layer has a descriptor return it.
Definition: Layer.hpp:378
DebugLayer.hpp
armnn::Debug
void Debug(const TensorInfo &inputInfo, const T *inputData, LayerGuid guid, const std::string &layerName, unsigned int slotIndex, bool outputsToFile)
Definition: Debug.cpp:97
armnn::DebugLayer::DebugLayer
DebugLayer(const char *name)
Constructor to create a DebugLayer.
Definition: DebugLayer.cpp:15
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::DebugLayer
This layer visualizes the data flowing through the network.
Definition: DebugLayer.hpp:13
armnn::InputSlot::GetConnectedOutputSlot
const OutputSlot * GetConnectedOutputSlot() const
Definition: Layer.hpp:56
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
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:432
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441
armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition: Types.hpp:491
armnn::Graph
Definition: Graph.hpp:30
armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
armnn::IStrategy::ExecuteStrategy
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0
LayerCloneBase.hpp