class InferenceEngine::ReLU6Layer¶
Overview¶
This class represents a ReLU6 activation layer. More…
#include <ie_layers.h>
class ReLU6Layer: public InferenceEngine::ClampLayer
{
public:
// construction
ReLU6Layer(const LayerParams& prms);
};
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;
float min_value = 0.0f;
float max_value = 1.0f;
// 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);
Detailed Documentation¶
This class represents a ReLU6 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 [0, 6.0]
Construction¶
ReLU6Layer(const LayerParams& prms)
A constructor with common layer parameters.
Parameters:
prms |
The common layer parameters |