ArmNN
 24.08
PermuteLayer.cpp
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1 //
2 // Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "PermuteLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
11 
12 #include <armnnUtils/Permute.hpp>
13 
16 
17 namespace armnn
18 {
19 
20 PermuteLayer::PermuteLayer(const PermuteDescriptor& param, const char* name)
21  : LayerWithParameters(1, 1, LayerType::Permute, param, name)
22 {
23 }
24 
25 std::unique_ptr<IWorkload> PermuteLayer::CreateWorkload(const IWorkloadFactory& factory) const
26 {
27  PermuteQueueDescriptor descriptor;
28  SetAdditionalInfo(descriptor);
29 
30  return factory.CreateWorkload(LayerType::Permute, descriptor, PrepInfoAndDesc(descriptor));
31 }
32 
34 {
35  return CloneBase<PermuteLayer>(graph, m_Param, GetName());
36 }
37 
38 std::vector<TensorShape> PermuteLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
39 {
40  if (inputShapes.size() != 1)
41  {
42  throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
43  "\" - should be \"1\".");
44  }
45 
46  const TensorShape& inShape = inputShapes[0];
47  return std::vector<TensorShape> ({armnnUtils::Permuted(inShape, m_Param.m_DimMappings)});
48 }
49 
51 {
53 
54  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
55 
57 
58  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
59 
60  if (inferredShapes.size() != 1)
61  {
62  throw armnn::LayerValidationException("inferredShapes has "
63  + std::to_string(inferredShapes.size()) +
64  " elements - should only have 1.");
65  }
66 
67  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "PermuteLayer");
68 }
69 
71 {
72  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
73 }
74 
75 } // namespace armnn
armnn::LayerType::Permute
@ Permute
armnn::PermuteLayer::PermuteLayer
PermuteLayer(const PermuteDescriptor &param, const char *name)
Constructor to create a PermuteLayer.
Definition: PermuteLayer.cpp:20
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:100
WorkloadData.hpp
TypesUtils.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::PermuteLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: PermuteLayer.cpp:70
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
armnnUtils::Permute
void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Permute.cpp:164
armnnUtils::Permuted
armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition: Permute.cpp:125
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
armnn::LayerWithParameters< PermuteDescriptor >::GetParameters
const PermuteDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
WorkloadFactory.hpp
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
PermuteLayer.hpp
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::PermuteLayer::Clone
PermuteLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: PermuteLayer.cpp:33
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::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::PermuteLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PermuteLayer.
Definition: PermuteLayer.cpp:50
armnn::LayerWithParameters< PermuteDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::LayerValidationException
Definition: Exceptions.hpp:105
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
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,...
Definition: PermuteLayer.cpp:38
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:526
armnn::PermuteDescriptor
A PermuteDescriptor for the PermuteLayer.
Definition: Descriptors.hpp:149
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
Permute.hpp
armnn::PermuteDescriptor::m_DimMappings
PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination,...
Definition: Descriptors.hpp:173
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::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:410
armnn::PermuteLayer
This layer represents a permutation operation.
Definition: PermuteLayer.hpp:15
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
armnn::PermuteQueueDescriptor
Definition: WorkloadData.hpp:191