ArmNN
 20.08
ReshapeLayer.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 reshape operation.
15 class ReshapeLayer : public LayerWithParameters<ReshapeDescriptor>
16 {
17 public:
18  /// Makes a workload for the Reshape 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  ReshapeLayer* Clone(Graph& graph) const override;
27 
28  /// Check if the input tensor shape(s)
29  /// will lead to a valid configuration of @ref ReshapeLayer.
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  /// Indicates if the other layer received is equal to this one.
40  /// @param other The other layer to be compared with.
41  /// @return true if other layer is equal to this false otherwise.
42  bool IsEqual(const Layer& other) const
43  {
44  return (other.GetType() == LayerType::Reshape) &&
45  m_Param.m_TargetShape == PolymorphicDowncast<const ReshapeLayer*>(&other)->m_Param.m_TargetShape;
46  }
47 
48  void Accept(ILayerVisitor& visitor) const override;
49 
50 protected:
51  /// Constructor to create a ReshapeLayer.
52  /// @param [in] param ReshapeDescriptor to configure the reshape operation.
53  /// @param [in] name Optional name for the layer.
54  ReshapeLayer(const ReshapeDescriptor& desc, const char* name);
55 
56  /// Default destructor
57  ~ReshapeLayer() = default;
58 };
59 
60 } // 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:261
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.