patch/23.02/_permute_layer_8cpp_source.xhtml

 //
 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //

 #include "PermuteLayer.hpp"

 #include "LayerCloneBase.hpp"

 #include <armnn/TypesUtils.hpp>

 #include <armnnUtils/Permute.hpp>

 #include <armnn/backends/WorkloadData.hpp>
 #include <armnn/backends/WorkloadFactory.hpp>

 namespace armnn
 {

 PermuteLayer::PermuteLayer(const PermuteDescriptor& param, const char* name)
     : LayerWithParameters(1, 1, LayerType::Permute, param, name)
 {
 }

 std::unique_ptr<IWorkload> PermuteLayer::CreateWorkload(const IWorkloadFactory& factory) const
 {
     PermuteQueueDescriptor descriptor;
     SetAdditionalInfo(descriptor);

     return factory.CreateWorkload(LayerType::Permute, descriptor, PrepInfoAndDesc(descriptor));
 }

 PermuteLayer* PermuteLayer::Clone(Graph& graph) const
 {
     return CloneBase<PermuteLayer>(graph, m_Param, GetName());
 }

 std::vector<TensorShape> PermuteLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
 {
     ARMNN_ASSERT(inputShapes.size() == 1);
     const TensorShape& inShape = inputShapes[0];
     return std::vector<TensorShape> ({armnnUtils::Permuted(inShape, m_Param.m_DimMappings)});
 }

 void PermuteLayer::ValidateTensorShapesFromInputs()
 {
     VerifyLayerConnections(1, CHECK_LOCATION());

     const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();

     VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);

     auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });

     ARMNN_ASSERT(inferredShapes.size() == 1);

     ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "PermuteLayer");
 }

 void PermuteLayer::ExecuteStrategy(IStrategy& strategy) const
 {
     strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
 }

 } // namespace armnn
armnn::PermuteQueueDescriptor
Definition: WorkloadData.hpp:186

+WorkloadData.hpp

+armnn::PermuteLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Permute type.
Definition: PermuteLayer.cpp:25

+armnn::LayerWithParameters< PermuteDescriptor >::m_Param
PermuteDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52

+armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:191

+PermuteLayer.hpp

+WorkloadFactory.hpp

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22

+armnn::PermuteLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: PermuteLayer.cpp:60

+armnn::PermuteLayer::PermuteLayer
PermuteLayer(const PermuteDescriptor &param, const char *name)
Constructor to create a PermuteLayer.
Definition: PermuteLayer.cpp:20

+armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:491

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6

+armnn::LayerWithParameters< PermuteDescriptor >::GetParameters
const PermuteDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19

+armnn::TensorShape
Definition: Tensor.hpp:20

+armnn::InputSlot::GetConnection
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:206

+armnn::PermuteLayer
This layer represents a permutation operation.
Definition: PermuteLayer.hpp:15

+armnn::PermuteLayer::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, otherwise infers the output shapes from given input shapes and layer properties.
Definition: PermuteLayer.cpp:38

+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:422

+armnn::PermuteDescriptor::m_DimMappings
PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g.
Definition: Descriptors.hpp:153

+armnn::PermuteLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PermuteLayer.
Definition: PermuteLayer.cpp:45

+armnn::IStrategy
Definition: IStrategy.hpp:16

+armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378

+armnnUtils::Permute
void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Permute.cpp:131

+armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:324

+armnn::PermuteLayer::Clone
PermuteLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: PermuteLayer.cpp:33

+TypesUtils.hpp

+Permute.hpp

+armnn::LayerType::Permute

+ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14

+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

+CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203

+armnn::Graph
Definition: Graph.hpp:30

+armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:274

+armnn::LayerWithParameters< PermuteDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44

+armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:326

+armnn::IOutputSlot::GetTensorInfo
virtual const TensorInfo & GetTensorInfo() const =0

+armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:319

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14

+armnn::IWorkloadFactory::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
Definition: WorkloadFactory.cpp:1561

+armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92

+armnnUtils::Permuted
armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition: Permute.cpp:98

+armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:423

+LayerCloneBase.hpp

+armnn::PermuteDescriptor
A PermuteDescriptor for the PermuteLayer.
Definition: Descriptors.hpp:129

+armnn::LayerType
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:466

+