ArmNN
 24.08
ReverseV2Layer.cpp
Go to the documentation of this file.
1 //
2 // Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ReverseV2Layer.hpp"
7 
10 
11 namespace armnn
12 {
14  : Layer(2, 1, LayerType::ReverseV2, name)
15 {
16 }
17 
18 std::unique_ptr<IWorkload> ReverseV2Layer::CreateWorkload(const armnn::IWorkloadFactory &factory) const
19 {
20  ReverseV2QueueDescriptor descriptor;
21  SetAdditionalInfo(descriptor);
22 
23  return factory.CreateWorkload(LayerType::ReverseV2, descriptor, PrepInfoAndDesc(descriptor));
24 }
25 
27 {
28  auto layer = CloneBase<ReverseV2Layer>(graph, GetName());
29 
30  return std::move(layer);
31 }
32 
33 std::vector<TensorShape> ReverseV2Layer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
34 {
35  if (inputShapes.size() != 2)
36  {
37  throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
38  "\" - should be \"2\".");
39  }
40 
41  const auto inputDims = inputShapes[0].GetNumDimensions();
42 
43  std::vector<unsigned int> dimSizes(inputDims);
44  for (unsigned i=0; i<inputDims; i++)
45  {
46  dimSizes[i] = inputShapes[0][i];
47  }
48 
49  TensorShape outputShape({ inputDims, dimSizes.data() });
50 
51  return std::vector<TensorShape>({ outputShape });
52 }
53 
55 {
57 
58  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
59 
61 
62  auto inferredShapes = InferOutputShapes({
65 
66  if (inferredShapes.size() != 1)
67  {
68  throw armnn::LayerValidationException("inferredShapes has "
69  + std::to_string(inferredShapes.size()) +
70  " elements - should only have 1.");
71  }
72 
73  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ReverseV2Layer");
74 }
75 
77 {
78  strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
79 }
80 
81 }
armnn::ReverseV2Layer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the ReverseV2 type.
Definition: ReverseV2Layer.cpp:18
armnn::ReverseV2Layer::ReverseV2Layer
ReverseV2Layer(const char *name)
Constructor to create a ReverseV2Layer.
Definition: ReverseV2Layer.cpp:13
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
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
ReverseV2Layer.hpp
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::ReverseV2Layer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ReverseV2Layer.
Definition: ReverseV2Layer.cpp:54
armnn::ReverseV2QueueDescriptor
Definition: WorkloadData.hpp:758
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::TensorShape
Definition: Tensor.hpp:20
armnn::ReverseV2
void ReverseV2(const TensorInfo &inputInfo, const TensorInfo &axisInfo, Decoder< float > &inputDecoder, Decoder< int > &axisDecoder, Encoder< float > &outputEncoder)
Definition: ReverseV2Impl.cpp:78
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: Layer.hpp:409
armnn::LayerValidationException
Definition: Exceptions.hpp:105
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::ReverseV2Layer
This layer represents a ReverseV2 operation.
Definition: ReverseV2Layer.hpp:14
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::BaseDescriptor
Base class for all descriptors.
Definition: Descriptors.hpp:22
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::ReverseV2Layer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs,...
Definition: ReverseV2Layer.cpp:33
armnn::LayerType::ReverseV2
@ ReverseV2
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
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
armnn::ReverseV2Layer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: ReverseV2Layer.cpp:76
LayerCloneBase.hpp
armnn::ReverseV2Layer::Clone
ReverseV2Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: ReverseV2Layer.cpp:26