ArmNN
 24.02
TransposeLayer.cpp
Go to the documentation of this file.
1 //
2 // Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "TransposeLayer.hpp"
7 
8 #include "LayerCloneBase.hpp"
9 
10 #include <armnn/TypesUtils.hpp>
11 
12 #include <armnnUtils/Transpose.hpp>
13 
16 
17 namespace armnn
18 {
19 
20 TransposeLayer::TransposeLayer(const TransposeDescriptor& param, const char* name)
21  : LayerWithParameters(1, 1, LayerType::Transpose, param, name)
22 {
23 }
24 
25 std::unique_ptr<IWorkload> TransposeLayer::CreateWorkload(const IWorkloadFactory& factory) const
26 {
27  TransposeQueueDescriptor descriptor;
28  SetAdditionalInfo(descriptor);
29 
30  return factory.CreateWorkload(LayerType::Transpose, descriptor, PrepInfoAndDesc(descriptor));
31 }
32 
34 {
35  return CloneBase<TransposeLayer>(graph, m_Param, GetName());
36 }
37 
38 std::vector<TensorShape> TransposeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
39 {
40  ARMNN_ASSERT(inputShapes.size() == 1);
41  const TensorShape& inShape = inputShapes[0];
42  return std::vector<TensorShape> ({armnnUtils::TransposeTensorShape(inShape, m_Param.m_DimMappings)});
43 }
44 
46 {
48 
49  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
50 
52 
53  auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
54 
55  ARMNN_ASSERT(inferredShapes.size() == 1);
56 
57  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "TransposeLayer");
58 }
59 
61 {
62  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
63 }
64 
65 } // namespace armnn
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
armnnUtils::Transpose
void Transpose(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Transpose.cpp:153
armnn::TransposeLayer::Clone
TransposeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: TransposeLayer.cpp:33
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
WorkloadData.hpp
TypesUtils.hpp
armnn::LayerType::Transpose
@ Transpose
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:435
TransposeLayer.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
armnnUtils::TransposeTensorShape
armnn::TensorShape TransposeTensorShape(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition: Transpose.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< TransposeDescriptor >::GetParameters
const TransposeDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
WorkloadFactory.hpp
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::TransposeLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeLayer.
Definition: TransposeLayer.cpp:45
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:592
armnn::TransposeLayer
This layer represents a transpose operation.
Definition: TransposeLayer.hpp:15
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::LayerWithParameters< TransposeDescriptor >::m_Param
TransposeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::TransposeDescriptor
A TransposeDescriptor for the TransposeLayer.
Definition: Descriptors.hpp:1490
armnn::LayerWithParameters< TransposeDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::TransposeLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: TransposeLayer.cpp:60
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:504
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:287
armnn::TransposeLayer::TransposeLayer
TransposeLayer(const TransposeDescriptor &param, const char *name)
Constructor to create a TransposeLayer.
Definition: TransposeLayer.cpp:20
Transpose.hpp
armnn::TransposeDescriptor::m_DimMappings
PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination,...
Definition: Descriptors.hpp:1514
armnn::TransposeQueueDescriptor
Definition: WorkloadData.hpp:557
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::TransposeLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and the permutation vector.
Definition: TransposeLayer.cpp:38
armnn::TransposeLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Transpose type.
Definition: TransposeLayer.cpp:25
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:391
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