145 lines
3.9 KiB
C++
145 lines
3.9 KiB
C++
// Copyright (C) 2018-2019 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#pragma once
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#include <builders/ie_layer_decorator.hpp>
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#include <ie_network.hpp>
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#include <vector>
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#include <string>
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namespace InferenceEngine {
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namespace Builder {
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/**
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* @brief The class represents a builder for ArgMax layer
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*/
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class INFERENCE_ENGINE_API_CLASS(ConvolutionLayer): public LayerDecorator {
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public:
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/**
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* @brief The constructor creates a builder with the name
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* @param name Layer name
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*/
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explicit ConvolutionLayer(const std::string& name = "");
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/**
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* @brief The constructor creates a builder from generic builder
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* @param layer pointer to generic builder
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*/
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explicit ConvolutionLayer(const Layer::Ptr& layer);
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/**
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* @brief The constructor creates a builder from generic builder
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* @param layer constant pointer to generic builder
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*/
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explicit ConvolutionLayer(const Layer::CPtr& layer);
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/**
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* @brief Sets the name for the layer
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* @param name Layer name
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* @return reference to layer builder
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*/
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ConvolutionLayer& setName(const std::string& name);
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/**
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* @brief Returns input port
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* @return Input port
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*/
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const Port& getInputPort() const;
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/**
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* @brief Sets input port
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* @param port Input port
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* @return reference to layer builder
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*/
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ConvolutionLayer& setInputPort(const Port& port);
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/**
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* @brief Returns output port
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* @return Output port
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*/
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const Port& getOutputPort() const;
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/**
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* @brief Sets output port
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* @param port Output port
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* @return reference to layer builder
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*/
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ConvolutionLayer& setOutputPort(const Port& port);
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/**
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* @brief Returns kernel size
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* @return Kernel size
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*/
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const std::vector<size_t> getKernel() const;
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/**
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* @brief Sets kernel size
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* @param kernel Kernel size
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* @return reference to layer builder
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*/
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ConvolutionLayer& setKernel(const std::vector<size_t>& kernel);
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/**
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* @brief Returns vector of strides
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* @return vector of strides
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*/
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const std::vector<size_t> getStrides() const;
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/**
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* @brief Sets strides
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* @param strides vector of strides
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* @return reference to layer builder
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*/
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ConvolutionLayer& setStrides(const std::vector<size_t>& strides);
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/**
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* @brief Returns dilations
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* @return vector of dilations
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*/
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const std::vector<size_t> getDilation() const;
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/**
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* @brief Sets dilations
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* @param dilation Vector of dilations
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* @return reference to layer builder
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*/
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ConvolutionLayer& setDilation(const std::vector<size_t>& dilation);
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/**
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* @brief Returns begin paddings
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* @return vector of paddings
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*/
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const std::vector<size_t> getPaddingsBegin() const;
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/**
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* @brief Sets begin paddings
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* @param paddings Vector of paddings
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* @return reference to layer builder
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*/
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ConvolutionLayer& setPaddingsBegin(const std::vector<size_t>& paddings);
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/**
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* @brief Return end paddings
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* @return Vector of paddings
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*/
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const std::vector<size_t> getPaddingsEnd() const;
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/**
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* @brief Sets end paddings
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* @param paddings Vector of paddings
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* @return reference to layer builder
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*/
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ConvolutionLayer& setPaddingsEnd(const std::vector<size_t>& paddings);
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/**
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* @brief Returns group
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* @return Group
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*/
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size_t getGroup() const;
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/**
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* @brief Sets group
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* @param group Group
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* @return reference to layer builder
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*/
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ConvolutionLayer& setGroup(size_t group);
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/**
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* @brief Return output depth
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* @return Output depth
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*/
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size_t getOutDepth() const;
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/**
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* @brief Sets output depth
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* @param outDepth Output depth
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* @return reference to layer builder
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*/
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ConvolutionLayer& setOutDepth(size_t outDepth);
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};
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} // namespace Builder
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} // namespace InferenceEngine
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