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//
// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "LayerWithParameters.hpp"
namespace armnn
{
class ScopedTensorHandle;
/// This layer represents a depthwise convolution 2d operation.
class DepthwiseConvolution2dLayer : public LayerWithParameters<DepthwiseConvolution2dDescriptor>
{
public:
/// Makes a workload for the DepthwiseConvolution2d 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.
DepthwiseConvolution2dLayer* Clone(Graph& graph) const override;
/// Check if the input tensor shape(s)
/// will lead to a valid configuration of @ref DepthwiseConvolution2dLayer.
/// @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;
void ExecuteStrategy(IStrategy& strategy) const override;
void SerializeLayerParameters(ParameterStringifyFunction& fn) const override;
/// This layer does not have any data stored, weights and bias are now stored in constant layers.
/// We do not want to release the data in the constant layer, that is why we override with an empty function.
void ReleaseConstantData() override {}
protected:
/// Constructor to create a DepthwiseConvolution2dLayer.
/// @param [in] param DepthwiseConvolution2dDescriptor to configure the depthwise convolution2d.
/// @param [in] name Optional name for the layer.
DepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor& param, const char* name);
/// Default destructor
~DepthwiseConvolution2dLayer() = default;
/// Retrieve the handles to the constant values connected to the layer.
/// @return A vector of the constant tensors connected to the layer.
ImmutableConstantTensors GetConstantTensorsByRef() const override;
};
} // namespace