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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "LayerWithParameters.hpp"
namespace armnn
{
class ScopedTensorHandle;
/// This layer represents a convolution 3d operation.
class Convolution3dLayer : public LayerWithParameters<Convolution3dDescriptor>
{
public:
/// A unique pointer to store Weight values.
std::shared_ptr<ConstTensorHandle> m_Weight;
/// A unique pointer to store Bias values.
std::shared_ptr<ConstTensorHandle> m_Bias;
/// Makes a workload for the Convolution3d 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.
Convolution3dLayer* Clone(Graph& graph) const override;
/// Check if the input tensor shape(s)
/// will lead to a valid configuration of @ref Convolution3dLayer.
/// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
void ValidateTensorShapesFromInputs() override;
/// By default returns inputShapes if the number of inputs are equal to number of outputs,
/// otherwise infers the output shapes from given input shapes and layer properties.
/// @param [in] inputShapes The input shapes layer has.
/// @return A vector to the inferred output shape.
std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
ARMNN_NO_DEPRECATE_WARN_BEGIN
void Accept(ILayerVisitor& visitor) const override;
ARMNN_NO_DEPRECATE_WARN_END
void ExecuteStrategy(IStrategy& strategy) const override;
void SerializeLayerParameters(ParameterStringifyFunction& fn) const override;
protected:
/// Constructor to create a Convolution3dLayer.
/// @param [in] param Convolution3dDescriptor to configure the convolution3d operation.
/// @param [in] name Optional name for the layer.
Convolution3dLayer(const Convolution3dDescriptor& param, const char* name);
/// Default destructor
~Convolution3dLayer() = 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
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