ArmNN
 20.05
TransposeConvolution2dLayer.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 class ScopedCpuTensorHandle;
13 
14 /// This layer represents a 2D transpose convolution operation.
15 class TransposeConvolution2dLayer : public LayerWithParameters<TransposeConvolution2dDescriptor>
16 {
17 public:
18  /// A unique pointer to store weight values.
19  std::unique_ptr<ScopedCpuTensorHandle> m_Weight;
20  /// A unique pointer to store bias values.
21  std::unique_ptr<ScopedCpuTensorHandle> m_Bias;
22 
23  /// Makes a workload for the TransposeConvolution2d type.
24  /// @param [in] graph The graph where this layer can be found.
25  /// @param [in] factory The workload factory which will create the workload.
26  /// @return A pointer to the created workload, or nullptr if not created.
27  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
28 
29  /// Creates a dynamically-allocated copy of this layer.
30  /// @param [in] graph The graph into which this layer is being cloned.
31  TransposeConvolution2dLayer* Clone(Graph& graph) const override;
32 
33  /// Check if the input tensor shape(s)
34  /// will lead to a valid configuration of @ref TransposeConvolution2dLayer.
35  void ValidateTensorShapesFromInputs() override;
36 
37  /// Infers the output shapes from given input shapes and layer properties.
38  /// @param [in] inputShapes The input shapes the layer has.
39  /// @return A vector of the inferred output shape.
40  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
41 
42  void Accept(ILayerVisitor& visitor) const override;
43 
44 protected:
45  /// Constructor to create a TransposeConvolution2dLayer.
46  /// @param [in] param TransposeConvolution2dDescriptor to configure the 2D transpose convolution operation.
47  /// @param [in] name Optional name for the layer.
48  TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& param, const char* name);
49 
50  /// Default destructor
51  ~TransposeConvolution2dLayer() = default;
52 
53  /// Retrieve the handles to the constant values stored by the layer.
54  /// @return A vector of the constant tensors stored by this layer.
56 };
57 
58 } // namespace armnn
ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values stored by the layer.
~TransposeConvolution2dLayer()=default
Default destructor.
This layer represents a 2D transpose convolution operation.
A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
std::unique_ptr< ScopedCpuTensorHandle > m_Weight
A unique pointer to store weight values.
Copyright (c) 2020 ARM Limited.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeConvolution2dLayer...
TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor &param, const char *name)
Constructor to create a TransposeConvolution2dLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the TransposeConvolution2d type.
std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors
Definition: Layer.hpp:363
TransposeConvolution2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and layer properties.
std::unique_ptr< ScopedCpuTensorHandle > m_Bias
A unique pointer to store bias values.