ArmNN
 25.11
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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
13
16
17namespace armnn
18{
19
20PermuteLayer::PermuteLayer(const PermuteDescriptor& param, const char* name)
21 : LayerWithParameters(1, 1, LayerType::Permute, param, name)
22{
23}
24
25std::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
38std::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
#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
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition Layer.cpp:526
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
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const PermuteDescriptor &param, const char *name)
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
const PermuteDescriptor & GetParameters() const override
const TensorInfo & GetTensorInfo() const override
Definition Layer.cpp:100
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
PermuteLayer(const PermuteDescriptor &param, const char *name)
Constructor to create a PermuteLayer.
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 PermuteLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Permute type.
PermuteLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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
armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition Permute.cpp:125
void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition Permute.cpp:164
A PermuteDescriptor for the PermuteLayer.