ArmNN
 22.02
DebugLayer.cpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "DebugLayer.hpp"
6 
7 #include "LayerCloneBase.hpp"
8 
12 
13 namespace armnn
14 {
15 
16 DebugLayer::DebugLayer(const char* name)
17  : Layer(1, 1, LayerType::Debug, name)
18 {}
19 
20 std::unique_ptr<IWorkload> DebugLayer::CreateWorkload(const IWorkloadFactory& factory) const
21 {
22  const Layer& prevLayer = GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer();
23 
24  DebugQueueDescriptor descriptor;
25  descriptor.m_Guid = prevLayer.GetGuid();
26  descriptor.m_LayerName = prevLayer.GetNameStr();
28 
29  SetAdditionalInfo(descriptor);
30 
31  return factory.CreateWorkload(LayerType::Debug, descriptor, PrepInfoAndDesc(descriptor));
32 }
33 
35 {
36  return CloneBase<DebugLayer>(graph, GetName());
37 }
38 
40 {
42 
43  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
44 
46 
47  std::vector<TensorShape> inferredShapes = InferOutputShapes({
49 
50  ARMNN_ASSERT(inferredShapes.size() == 1);
51 
52  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "DebugLayer");
53 }
54 
56 void DebugLayer::Accept(ILayerVisitor& visitor) const
57 {
58  // by design debug layers are never in input graphs
59  IgnoreUnused(visitor);
60  throw armnn::Exception("DebugLayer should never appear in an input graph");
61 }
63 
64 } // namespace armnn
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
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
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
Layer & GetOwningLayer() const
Definition: Layer.hpp:118
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DebugLayer.
Definition: DebugLayer.cpp:39
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:436
Copyright (c) 2021 ARM Limited and Contributors.
void IgnoreUnused(Ts &&...)
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:204
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:396
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:352
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:321
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
Definition: Layer.hpp:388
void Debug(const TensorInfo &inputInfo, const T *inputData, LayerGuid guid, const std::string &layerName, unsigned int slotIndex)
Definition: Debug.cpp:19
const std::string & GetNameStr() const
Definition: Layer.hpp:225
This layer visualizes the data flowing through the network.
Definition: DebugLayer.hpp:13
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
const OutputSlot * GetConnectedOutputSlot() const
Definition: Layer.hpp:56
DebugLayer(const char *name)
Constructor to create a DebugLayer.
Definition: DebugLayer.cpp:16
#define CHECK_LOCATION()
Definition: Exceptions.hpp:209
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:248
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Debug type.
Definition: DebugLayer.cpp:20
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:323
virtual const TensorInfo & GetTensorInfo() const =0
DebugLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: DebugLayer.cpp:34
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:316
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
Definition: DebugLayer.cpp:56
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:66
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:415
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:458
LayerGuid GetGuid() const final
Returns the unique id of the layer.
Definition: Layer.hpp:327
unsigned int CalculateIndexOnOwner() const override
Definition: Layer.cpp:133