class InferenceEngine::WeightableLayer¶

Overview¶

This class represents a layer with Weights and/or Biases (e.g. Convolution/Fully Connected, etc.) More…

#include <ie_layers.h>

class WeightableLayer: public InferenceEngine::CNNLayer
{
public:
    // fields

    Blob::Ptr _weights;
    Blob::Ptr _biases;

    // construction

    WeightableLayer(const LayerParams& prms);

    // methods

    CNNLayer(const LayerParams& prms);
    CNNLayer(const CNNLayer& other);
};

// direct descendants

class BatchNormalizationLayer;
class BinaryConvolutionLayer;
class ConvolutionLayer;
class FullyConnectedLayer;
class PReLULayer;
class RNNCellBase;
class ScaleShiftLayer;

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;

    // 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);

Detailed Documentation¶

This class represents a layer with Weights and/or Biases (e.g. Convolution/Fully Connected, etc.)

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

Fields¶

Blob::Ptr _weights

A pointer to a weights blob.

Blob::Ptr _biases

A pointer to a biases blob.

Construction¶

WeightableLayer(const LayerParams& prms)

A default constructor. Constructs a WeightableLayer instance and initiates layer parameters with the given values.

Parameters:

prms	Initial layer parameters

Methods¶

CNNLayer(const LayerParams& prms)

Constructs a WeightableLayer instance and initiates layer parameters with the given values.

CNNLayer(const CNNLayer& other)

Constructs a WeightableLayer instance and initiates layer parameters with the given values.