ArmNN
 21.02
PermuteLayer.hpp
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1 //
2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
8 
10 
11 namespace armnn
12 {
13 
14 /// This layer represents a permutation operation.
15 class PermuteLayer : public LayerWithParameters<PermuteDescriptor>
16 {
17 public:
18  /// Makes a workload for the Permute type.
19  /// @param [in] graph The graph where this layer can be found.
20  /// @param [in] factory The workload factory which will create the workload.
21  /// @return A pointer to the created workload, or nullptr if not created.
22  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
23 
24  /// Creates a dynamically-allocated copy of this layer.
25  /// @param [in] graph The graph into which this layer is being cloned.
26  PermuteLayer* Clone(Graph& graph) const override;
27 
28  /// Check if the input tensor shape(s)
29  /// will lead to a valid configuration of @ref PermuteLayer.
30  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
31  void ValidateTensorShapesFromInputs() override;
32 
33  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
34  /// otherwise infers the output shapes from given input shapes and layer properties.
35  /// @param [in] inputShapes The input shapes layer has.
36  /// @return A vector to the inferred output shape.
37  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
38 
39  /// @return a permutation vector represents the memory layout of the tensor elements.
41  {
42  return m_Param.m_DimMappings;
43  }
44 
45  /// Indicates if the other layer received is inverse of this one.
46  /// @param other The other layer to be compared with.
47  /// @return true if other layer is inverse of this false otherwise.
48  bool IsInverse(const Layer& other) const
49  {
50  return (other.GetType() == LayerType::Permute) &&
51  GetPermutation().IsInverse(PolymorphicDowncast<const PermuteLayer*>(&other)->GetPermutation());
52  }
53 
54  /// Indicates if the other layer received is equal to this one.
55  /// @param other The other layer to be compare with.
56  /// @return true if other layer is equal to this false otherwise.
57  bool IsEqual(const Layer& other) const
58  {
59  return (other.GetType() == LayerType::Permute) &&
60  GetPermutation().IsEqual(PolymorphicDowncast<const PermuteLayer*>(&other)->GetPermutation());
61  }
62 
63  void Accept(ILayerVisitor& visitor) const override;
64 
65 protected:
66  /// Constructor to create a PermuteLayer.
67  /// @param [in] param PermuteDescriptor to configure the permute operation.
68  /// @param [in] name Optional name for the layer.
69  PermuteLayer(const PermuteDescriptor& param, const char* name);
70 
71  /// Default destructor
72  ~PermuteLayer() = default;
73 };
74 
75 } // namespace
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
bool IsInverse(const Layer &other) const
Indicates if the other layer received is inverse of this one.
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.).
bool IsEqual(const Layer &other) const
Indicates if the other layer received is equal to this one.
PermuteLayer(const PermuteDescriptor &param, const char *name)
Constructor to create a PermuteLayer.
Copyright (c) 2021 ARM Limited and Contributors.
~PermuteLayer()=default
Default destructor.
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.
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.
PermuteLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
LayerType GetType() const override
Returns the armnn::LayerType of this layer.
Definition: Layer.hpp:265
bool IsEqual(const PermutationVector &other) const
Definition: Types.hpp:246
const PermutationVector & GetPermutation() const
bool IsInverse(const PermutationVector &other) const
Definition: Types.hpp:256
A PermuteDescriptor for the PermuteLayer.