ArmNN
 22.11
PermuteLayer.cpp
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1 //
2 // Copyright © 2017 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  ARMNN_ASSERT(inputShapes.size() == 1);
41  const TensorShape& inShape = inputShapes[0];
42  return std::vector<TensorShape> ({armnnUtils::Permuted(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).GetConnection()->GetTensorInfo().GetShape() });
54 
55  ARMNN_ASSERT(inferredShapes.size() == 1);
56 
57  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "PermuteLayer");
58 }
59 
61 {
62  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
63 }
64 
65 } // namespace armnn
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Permute type.
PermuteDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const TensorShape & GetShape() const
Definition: Tensor.hpp:191
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
PermuteLayer(const PermuteDescriptor &param, const char *name)
Constructor to create a PermuteLayer.
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:491
Copyright (c) 2021 ARM Limited and Contributors.
const PermuteDescriptor & GetParameters() const override
const IOutputSlot * GetConnection() const override
Definition: Layer.hpp:206
This layer represents a permutation operation.
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.
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:422
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.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PermuteLayer.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:378
void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
Definition: Permute.cpp:131
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:324
PermuteLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
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
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:274
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:326
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:319
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
Definition: Permute.cpp:98
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:423
A PermuteDescriptor for the PermuteLayer.
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...
Definition: Types.hpp:468