ArmNN
 24.08
TransposeConvolution2dLayer.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 
9 namespace armnn
10 {
11 
12 class ScopedTensorHandle;
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::shared_ptr<ConstTensorHandle> m_Weight;
20  /// A unique pointer to store bias values.
21  std::shared_ptr<ConstTensorHandle> 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  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
36  void ValidateTensorShapesFromInputs() override;
37 
38  /// Infers the output shapes from given input shapes and layer properties.
39  /// @param [in] inputShapes The input shapes the layer has.
40  /// @return A vector of the inferred output shape.
41  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
42 
43 
44  void ExecuteStrategy(IStrategy& strategy) const override;
45 
46 protected:
47  /// Constructor to create a TransposeConvolution2dLayer.
48  /// @param [in] param TransposeConvolution2dDescriptor to configure the 2D transpose convolution operation.
49  /// @param [in] name Optional name for the layer.
50  TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& param, const char* name);
51 
52  /// Default destructor
53  ~TransposeConvolution2dLayer() = default;
54 
55  /// Retrieve the handles to the constant values stored by the layer.
56  /// @return A vector of the constant tensors stored by this layer.
58 };
59 
60 } // namespace armnn
armnn::TransposeConvolution2dLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeConvolution2dLayer.
Definition: TransposeConvolution2dLayer.cpp:104
armnn::TransposeConvolution2dLayer::GetConstantTensorsByRef
ImmutableConstantTensors GetConstantTensorsByRef() const override
Retrieve the handles to the constant values stored by the layer.
Definition: TransposeConvolution2dLayer.cpp:155
armnn::TransposeConvolution2dLayer
This layer represents a 2D transpose convolution operation.
Definition: TransposeConvolution2dLayer.hpp:15
armnn::IStrategy
Definition: IStrategy.hpp:16
armnn::TransposeConvolution2dLayer::~TransposeConvolution2dLayer
~TransposeConvolution2dLayer()=default
Default destructor.
armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:14
armnn::IConnectableLayer::ImmutableConstantTensors
std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >> ImmutableConstantTensors
Definition: INetwork.hpp:141
armnn::TransposeConvolution2dLayer::m_Bias
std::shared_ptr< ConstTensorHandle > m_Bias
A unique pointer to store bias values.
Definition: TransposeConvolution2dLayer.hpp:21
armnn::TransposeConvolution2dLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the TransposeConvolution2d type.
Definition: TransposeConvolution2dLayer.cpp:25
armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22
armnn::TransposeConvolution2dLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and layer properties.
Definition: TransposeConvolution2dLayer.cpp:63
LayerWithParameters.hpp
armnn::TransposeConvolution2dLayer::TransposeConvolution2dLayer
TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor &param, const char *name)
Constructor to create a TransposeConvolution2dLayer.
Definition: TransposeConvolution2dLayer.cpp:19
armnn::TransposeConvolution2dLayer::m_Weight
std::shared_ptr< ConstTensorHandle > m_Weight
A unique pointer to store weight values.
Definition: TransposeConvolution2dLayer.hpp:19
armnn::TransposeConvolution2dLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: TransposeConvolution2dLayer.cpp:161
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::TransposeConvolution2dDescriptor
A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.
Definition: Descriptors.hpp:1440
armnn::Graph
Definition: Graph.hpp:30
armnn::TransposeConvolution2dLayer::Clone
TransposeConvolution2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: TransposeConvolution2dLayer.cpp:49