ArmNN
 25.11
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ReverseV2Layer.cpp
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1//
2// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#include "ReverseV2Layer.hpp"
7
10
11namespace armnn
12{
14 : Layer(2, 1, LayerType::ReverseV2, name)
15{
16}
17
18std::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
33std::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}
#define CHECK_LOCATION()
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 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
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
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition Layer.hpp:339
LayerType * CloneBase(Graph &graph, Params &&... params) const
const char * GetName() const override
Returns the name of the layer.
Definition Layer.hpp:332
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
ShapeInferenceMethod m_ShapeInferenceMethod
Definition Layer.hpp:441
const TensorInfo & GetTensorInfo() const override
Definition Layer.cpp:100
ReverseV2Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
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,...
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ReverseV2Layer.
ReverseV2Layer(const char *name)
Constructor to create a ReverseV2Layer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the ReverseV2 type.
const TensorShape & GetShape() const
Definition Tensor.hpp:193
Copyright (c) 2021 ARM Limited and Contributors.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
Definition Types.hpp:494
void ReverseV2(const TensorInfo &inputInfo, const TensorInfo &axisInfo, Decoder< float > &inputDecoder, Decoder< int > &axisDecoder, Encoder< float > &outputEncoder)
Base class for all descriptors.