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//
// Copyright © 2017 Arm Ltd. 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 Graph& graph,
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.
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;
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