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class InferenceEngine::DeconvolutionLayer

Overview

This class represents a standard deconvolution layer. More…

#include <ie_layers.h>

class DeconvolutionLayer: public InferenceEngine::ConvolutionLayer
{
public:
    // methods

    ConvolutionLayer(const LayerParams& p);
    ConvolutionLayer(const ConvolutionLayer& that);
    ConvolutionLayer(ConvolutionLayer&&);
    ConvolutionLayer& operator = (const ConvolutionLayer& that);
};

Inherited Members

public:
    // typedefs

    typedef std::shared_ptr<CNNLayer> Ptr;

    // fields

    std::string name;
    std::string type;
    Precision precision;
    std::vector<DataPtr> outData;
    std::vector<DataWeakPtr> insData;
    Ptr _fusedWith;
    UserValue userValue;
    std::string affinity;
    std::map<std::string, std::string> params;
    std::map<std::string, Blob::Ptr> blobs;
    Blob::Ptr _weights;
    Blob::Ptr _biases;
    PropertyVector<unsigned int> _kernel;
    unsigned int& _kernel_x =  _kernel .at(X_AXIS);
    unsigned int& _kernel_y =  _kernel .at(Y_AXIS);
    PropertyVector<unsigned int> _padding;
    unsigned int& _padding_x =  _padding .at(X_AXIS);
    unsigned int& _padding_y =  _padding .at(Y_AXIS);
    PropertyVector<unsigned int> _pads_end;
    PropertyVector<unsigned int> _stride;
    unsigned int& _stride_x =  _stride .at(X_AXIS);
    unsigned int& _stride_y =  _stride .at(Y_AXIS);
    PropertyVector<unsigned int> _dilation;
    unsigned int& _dilation_x =  _dilation .at(X_AXIS);
    unsigned int& _dilation_y =  _dilation .at(Y_AXIS);
    unsigned int _out_depth = 0u;
    unsigned int _group = 1u;
    std::string _auto_pad;

    // methods

    std::shared_ptr<ngraph::Node> getNode() const;
    void fuse(Ptr& layer);
    virtual const DataPtr input() const;
    void parseParams();
    float GetParamAsFloat(const char \* param, float def) const;
    float GetParamAsFloat(const char \* param) const;
    std::vector<float> GetParamAsFloats(const char \* param, std::vector<float> def) const;
    std::vector<float> GetParamAsFloats(const char \* param) const;
    int GetParamAsInt(const char \* param, int def) const;
    int GetParamAsInt(const char \* param) const;
    std::vector<int> GetParamAsInts(const char \* param, std::vector<int> def) const;
    std::vector<int> GetParamAsInts(const char \* param) const;
    unsigned int GetParamAsUInt(const char \* param, unsigned int def) const;
    unsigned int GetParamAsUInt(const char \* param) const;
    size_t GetParamAsSizeT(const char \* param, size_t def) const;
    size_t GetParamAsSizeT(const char \* param) const;

    std::vector<unsigned int> GetParamAsUInts(
        const char \* param,
        std::vector<unsigned int> def
        ) const;

    std::vector<unsigned int> GetParamAsUInts(const char \* param) const;
    bool GetParamAsBool(const char \* param, bool def) const;
    bool GetParamAsBool(const char \* param) const;
    std::string GetParamAsString(const char \* param, const char \* def) const;
    bool CheckParamPresence(const char \* param) const;
    std::string GetParamAsString(const char \* param) const;
    std::string getBoolStrParamAsIntStr(const char \* param) const;

    std::vector<std::string> GetParamAsStrings(
        const char \* param,
        std::vector<std::string> def
        ) const;

    static float ie_parse_float(const std::string& str);
    static std::string ie_serialize_float(float value);
    CNNLayer(const LayerParams& prms);
    CNNLayer(const CNNLayer& other);
    ConvolutionLayer& operator = (const ConvolutionLayer& that);

Detailed Documentation

This class represents a standard deconvolution layer.

Deprecated Migrate to IR v10 and work with ngraph::Function directly. The method will be removed in 2021.1

Methods

ConvolutionLayer(const LayerParams& p)

Creates a new ConvolutionLayer instance.

ConvolutionLayer(const ConvolutionLayer& that)

copy constructor

ConvolutionLayer(ConvolutionLayer&&)

move constructor

ConvolutionLayer& operator = (const ConvolutionLayer& that)

assignment operator