ArmNN
 25.11
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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
12namespace armnn
13{
14
15DebugLayer::DebugLayer(const char* name)
16 : Layer(1, 1, LayerType::Debug, name),
17 m_ToFile(false)
18{}
19
20DebugLayer::DebugLayer(const char* name, bool toFile)
21 : Layer(1, 1, LayerType::Debug, name),
22 m_ToFile(toFile)
23{}
24
25std::unique_ptr<IWorkload> DebugLayer::CreateWorkload(const IWorkloadFactory& factory) const
26{
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
#define CHECK_LOCATION()
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DebugLayer.
DebugLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Debug type.
DebugLayer(const char *name)
Constructor to create a DebugLayer.
Base class for all ArmNN exceptions so that users can filter to just those.
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
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.
const OutputSlot * GetConnectedOutputSlot() const
Definition Layer.hpp:56
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition Layer.cpp:614
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition Layer.cpp:410
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition Layer.hpp:337
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition Layer.hpp:409
const std::string & GetNameStr() const
Definition Layer.hpp:240
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition Layer.cpp:526
Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
Definition Layer.cpp:260
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
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition Layer.hpp:339
LayerGuid GetGuid() const final
Returns the unique id of the layer.
Definition Layer.hpp:343
LayerType * CloneBase(Graph &graph, Params &&... params) const
const char * GetName() const override
Returns the name of the layer.
Definition Layer.hpp:332
virtual const BaseDescriptor & GetParameters() const override
If the layer has a descriptor return it.
Definition Layer.hpp:378
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition Layer.cpp:457
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition Layer.cpp:303
friend class Graph
Definition Layer.hpp:382
ShapeInferenceMethod m_ShapeInferenceMethod
Definition Layer.hpp:441
unsigned int CalculateIndexOnOwner() const override
Definition Layer.cpp:172
Layer & GetOwningLayer() const
Definition Layer.hpp:132
const TensorInfo & GetTensorInfo() const override
Definition Layer.cpp:100
const TensorShape & GetShape() const
Definition Tensor.hpp:193
Copyright (c) 2021 ARM Limited and Contributors.
void Debug(const TensorInfo &inputInfo, const T *inputData, LayerGuid guid, const std::string &layerName, unsigned int slotIndex, bool outputsToFile)
Definition Debug.cpp:97
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition Types.hpp:494