ArmNN
 25.11
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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
9namespace armnn
10{
11
13
14/// This layer represents a 2D transpose convolution operation.
15class TransposeConvolution2dLayer : public LayerWithParameters<TransposeConvolution2dDescriptor>
16{
17public:
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
46protected:
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.
51
52 /// Default destructor
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
std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > > > ImmutableConstantTensors
Definition INetwork.hpp:141
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const TransposeConvolution2dDescriptor &param, const char *name)
TransposeConvolution2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
ImmutableConstantTensors GetConstantTensorsByRef() const override
Retrieve the handles to the constant values stored by the layer.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
std::shared_ptr< ConstTensorHandle > m_Weight
A unique pointer to store weight values.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
Infers the output shapes from given input shapes and layer properties.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeConvolution2dLayer.
std::shared_ptr< ConstTensorHandle > m_Bias
A unique pointer to store bias values.
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.
~TransposeConvolution2dLayer()=default
Default destructor.
Copyright (c) 2021 ARM Limited and Contributors.
A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.