class InferenceEngine::ClampLayer


This class represents a Clamp activation layer. More…

#include <ie_layers.h>

class ClampLayer: public InferenceEngine::CNNLayer
    // fields

    float min_value = 0.0f;
    float max_value = 1.0f;

    // methods

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

// direct descendants

class ReLU6Layer;

Inherited Members

    // 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 Clamp activation layer.

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

Clamps all tensor elements into the range [min_value, max_value]


float min_value = 0.0f

A minimum value.

float max_value = 1.0f

A maximum value.


CNNLayer(const LayerParams& prms)

Creates a new ClampLayer instance.

CNNLayer(const CNNLayer& other)

Creates a new ClampLayer instance.