patch/21.02/_transpose_convolution2d_layer_8hpp_source.xhtml

 //
 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once

 #include "LayerWithParameters.hpp"

 namespace armnn
 {

 class ScopedCpuTensorHandle;

 /// This layer represents a 2D transpose convolution operation.
 class TransposeConvolution2dLayer : public LayerWithParameters<TransposeConvolution2dDescriptor>
 {
 public:
     /// A unique pointer to store weight values.
     std::unique_ptr<ScopedCpuTensorHandle> m_Weight;
     /// A unique pointer to store bias values.
     std::unique_ptr<ScopedCpuTensorHandle> m_Bias;

     /// Makes a workload for the TransposeConvolution2d type.
     /// @param [in] graph The graph where this layer can be found.
     /// @param [in] factory The workload factory which will create the workload.
     /// @return A pointer to the created workload, or nullptr if not created.
     virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;

     /// Creates a dynamically-allocated copy of this layer.
     /// @param [in] graph The graph into which this layer is being cloned.
     TransposeConvolution2dLayer* Clone(Graph& graph) const override;

     /// Check if the input tensor shape(s)
     /// will lead to a valid configuration of @ref TransposeConvolution2dLayer.
     /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
     void ValidateTensorShapesFromInputs() override;

     /// Infers the output shapes from given input shapes and layer properties.
     /// @param [in] inputShapes The input shapes the layer has.
     /// @return A vector of the inferred output shape.
     std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;

     void Accept(ILayerVisitor& visitor) const override;

     void ExecuteStrategy(IStrategy& strategy) const override;

 protected:
     /// Constructor to create a TransposeConvolution2dLayer.
     /// @param [in] param TransposeConvolution2dDescriptor to configure the 2D transpose convolution operation.
     /// @param [in] name Optional name for the layer.
     TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor& param, const char* name);

     /// Default destructor
     ~TransposeConvolution2dLayer() = default;

     /// Retrieve the handles to the constant values stored by the layer.
     /// @return A vector of the constant tensors stored by this layer.
     ConstantTensors GetConstantTensorsByRef() override;
 };

 } // namespace armnn
armnn::TransposeConvolution2dLayer::GetConstantTensorsByRef
ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values stored by the layer.
Definition: TransposeConvolution2dLayer.cpp:119

+LayerWithParameters.hpp

+armnn::TransposeConvolution2dLayer::~TransposeConvolution2dLayer
~TransposeConvolution2dLayer()=default
Default destructor.

+armnn::TransposeConvolution2dLayer
This layer represents a 2D transpose convolution operation.
Definition: TransposeConvolution2dLayer.hpp:15

+armnn::TransposeConvolution2dDescriptor
A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.
Definition: Descriptors.hpp:1213

+armnn::TransposeConvolution2dLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: TransposeConvolution2dLayer.cpp:138

+armnn::IWorkloadFactory
Definition: WorkloadFactory.hpp:22

+armnn::TransposeConvolution2dLayer::Accept
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Definition: TransposeConvolution2dLayer.cpp:124

+armnn::TransposeConvolution2dLayer::m_Weight
std::unique_ptr< ScopedCpuTensorHandle > m_Weight
A unique pointer to store weight values.
Definition: TransposeConvolution2dLayer.hpp:19

+armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_software_tools.dox:6

+armnn::TransposeConvolution2dLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of TransposeConvolution2dLayer...
Definition: TransposeConvolution2dLayer.cpp:90

+armnn::IStrategy
Definition: IStrategy.hpp:13

+armnn::TransposeConvolution2dLayer::TransposeConvolution2dLayer
TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor &param, const char *name)
Constructor to create a TransposeConvolution2dLayer.
Definition: TransposeConvolution2dLayer.cpp:19

+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::Graph
Definition: Graph.hpp:29

+armnn::ILayerVisitor
Definition: ILayerVisitor.hpp:16

+armnn::LayerWithParameters
Definition: LayerWithParameters.hpp:13

+armnn::Layer::ConstantTensors
std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors
Definition: Layer.hpp:393

+armnn::TransposeConvolution2dLayer::Clone
TransposeConvolution2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: TransposeConvolution2dLayer.cpp:43

+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:57

+armnn::TransposeConvolution2dLayer::m_Bias
std::unique_ptr< ScopedCpuTensorHandle > m_Bias
A unique pointer to store bias values.
Definition: TransposeConvolution2dLayer.hpp:21

+