ArmNN
 20.02
ReshapeLayer.hpp
Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
8 
9 namespace armnn
10 {
11 
12 /// This layer represents a reshape operation.
13 class ReshapeLayer : public LayerWithParameters<ReshapeDescriptor>
14 {
15 public:
16  /// Makes a workload for the Reshape type.
17  /// @param [in] graph The graph where this layer can be found.
18  /// @param [in] factory The workload factory which will create the workload.
19  /// @return A pointer to the created workload, or nullptr if not created.
20  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
21 
22  /// Creates a dynamically-allocated copy of this layer.
23  /// @param [in] graph The graph into which this layer is being cloned.
24  ReshapeLayer* Clone(Graph& graph) const override;
25 
26  /// Check if the input tensor shape(s)
27  /// will lead to a valid configuration of @ref ReshapeLayer.
28  void ValidateTensorShapesFromInputs() override;
29 
30  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
31  /// otherwise infers the output shapes from given input shapes and layer properties.
32  /// @param [in] inputShapes The input shapes layer has.
33  /// @return A vector to the inferred output shape.
34  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
35 
36  /// Indicates if the other layer received is equal to this one.
37  /// @param other The other layer to be compared with.
38  /// @return true if other layer is equal to this false otherwise.
39  bool IsEqual(const Layer& other) const
40  {
41  return (other.GetType() == LayerType::Reshape) &&
42  m_Param.m_TargetShape == boost::polymorphic_downcast<const ReshapeLayer*>(&other)->m_Param.m_TargetShape;
43  }
44 
45  void Accept(ILayerVisitor& visitor) const override;
46 
47 protected:
48  /// Constructor to create a ReshapeLayer.
49  /// @param [in] param ReshapeDescriptor to configure the reshape operation.
50  /// @param [in] name Optional name for the layer.
51  ReshapeLayer(const ReshapeDescriptor& desc, const char* name);
52 
53  /// Default destructor
54  ~ReshapeLayer() = default;
55 };
56 
57 } // namespace
~ReshapeLayer()=default
Default destructor.
ReshapeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Reshape type.
A ReshapeDescriptor for the ReshapeLayer.
bool IsEqual(const Layer &other) const
Indicates if the other layer received is equal to this one.
This layer represents a reshape operation.
ReshapeLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Copyright (c) 2020 ARM Limited.
TensorShape m_TargetShape
Target shape value.
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
ReshapeLayer(const ReshapeDescriptor &desc, const char *name)
Constructor to create a ReshapeLayer.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ReshapeLayer.
LayerType GetType() const
Definition: Layer.hpp:259
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.