ArmNN
 24.08
RankLayer.cpp
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1 //
2 // Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "RankLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
12 
13 namespace armnn
14 {
15 
16 RankLayer::RankLayer(const char* name)
17  : Layer(1, 1, LayerType::Rank, name)
18 {}
19 
20 std::unique_ptr<IWorkload> RankLayer::CreateWorkload(const IWorkloadFactory& factory) const
21 {
22  RankQueueDescriptor descriptor;
23  SetAdditionalInfo(descriptor);
24 
25  return factory.CreateWorkload(LayerType::Rank, descriptor, PrepInfoAndDesc(descriptor));
26 }
27 
29 {
30  RankLayer* clone = CloneBase<RankLayer>(graph, GetName());
31  return clone;
32 }
33 
34 std::vector<TensorShape> RankLayer::InferOutputShapes(const std::vector<TensorShape>&) const
35 {
36  return std::vector<TensorShape>({ TensorShape(Dimensionality::Scalar) });
37 }
38 
40 {
42 
43  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
44  const TensorShape inferredShape = TensorShape(Dimensionality::Scalar);
45 
47  ValidateAndCopyShape(outputShape, inferredShape, m_ShapeInferenceMethod, "RankLayer");
48 }
49 
51 {
52  strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
53 }
54 
55 } //namespace armnn
armnn::RankLayer
Definition: RankLayer.hpp:13
armnn::RankLayer::RankLayer
RankLayer(const char *name)
Constructor to create a RankLayer.
Definition: RankLayer.cpp:16
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
armnn::RankQueueDescriptor
Definition: WorkloadData.hpp:329
RankLayer.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::RankLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Rank returns a scalar specifying the rank of the input tensor.
Definition: RankLayer.cpp:34
armnn::IStrategy
Definition: IStrategy.hpp:16
WorkloadFactory.hpp
armnn::RankLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: RankLayer.cpp:50
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::TensorShape
Definition: Tensor.hpp:20
armnn::Layer::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: Layer.hpp:409
armnn::Dimensionality::Scalar
@ Scalar
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::RankLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Rank type.
Definition: RankLayer.cpp:20
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:303
armnn::RankLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of RankLayer.
Definition: RankLayer.cpp:39
armnn::BaseDescriptor
Base class for all descriptors.
Definition: Descriptors.hpp:22
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::LayerType::Rank
@ Rank
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::RankLayer::Clone
Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: RankLayer.cpp:28
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