Base class for recurrent cell layers. More...
#include <ie_layers.h>
Public Types | |
enum | CellType { LSTM, GRU, RNN, GRU_LBR } |
Direct type of recurrent cell (including subtypes) Description of particular cell semantics is in LSTMCell, GRUCell, RNNCell. More... | |
Public Types inherited from InferenceEngine::CNNLayer | |
using | Ptr = std::shared_ptr< CNNLayer > |
A shared pointer to CNNLayer. | |
Data Fields | |
CellType | cellType = LSTM |
Direct type of recurrent cell (including subtypes) Description of particular cell semantics is in LSTMCell, GRUCell, RNNCell. | |
int | hidden_size = 0 |
Size of hidden state data. More... | |
float | clip = 0.0f |
Clip data into range [-clip, clip] on input of activations. More... | |
std::vector< std::string > | activations |
Activations used inside recurrent cell. More... | |
std::vector< float > | activation_alpha |
Alpha parameters of activations. More... | |
std::vector< float > | activation_beta |
Beta parameters of activations. More... | |
Data Fields inherited from InferenceEngine::WeightableLayer | |
Blob::Ptr | _weights |
A pointer to a weights blob. | |
Blob::Ptr | _biases |
A pointer to a biases blob. | |
Data Fields inherited from InferenceEngine::CNNLayer | |
std::string | name |
Layer name. | |
std::string | type |
Layer type. | |
Precision | precision |
Layer base operating precision. | |
std::vector< DataPtr > | outData |
A vector of pointers to the output data elements of this layer in the di-graph (order matters) | |
std::vector< DataWeakPtr > | insData |
A vector of weak pointers to the input data elements of this layer in the di-graph (order matters) | |
Ptr | _fusedWith |
If suggested to fuse - a pointer to the layer which needs to be fused with this layer. | |
UserValue | userValue |
Convenience user values to store in this object as extra data. | |
std::string | affinity |
Layer affinity set by user. | |
std::map< std::string, std::string > | params |
Map of pairs: (parameter name, parameter value) | |
std::map< std::string, Blob::Ptr > | blobs |
Map of pairs: (name, weights/biases blob) | |
Additional Inherited Members | |
Public Member Functions inherited from InferenceEngine::WeightableLayer | |
WeightableLayer (const LayerParams &prms) | |
A default constructor. Constructs a WeightableLayer instance and initiates layer parameters with the given values. More... | |
Public Member Functions inherited from InferenceEngine::CNNLayer | |
CNNLayer (const LayerParams &prms) | |
A constructor. Creates a new CNNLayer instance and initializes layer parameters with the given values. More... | |
virtual | ~CNNLayer () |
A virtual destructor. | |
void | fuse (Ptr &layer) |
Sets a layer to be fused with. More... | |
virtual const DataPtr | input () const |
Returns the first element of the input data for this layer. More... | |
void | validateLayer () |
Checks if the input data and layer data are legitimate. | |
float | GetParamAsFloat (const char *param, float def) const |
Gets float value for the given parameter. More... | |
float | GetParamAsFloat (const char *param) const |
Returns a float value for the given layer parameter. More... | |
std::vector< float > | GetParamAsFloats (const char *param, std::vector< float > def) const |
Returns a vector of float values for the given parameter or returns the default value. More... | |
std::vector< float > | GetParamAsFloats (const char *param) const |
Returns a vector of float values for the given parameter. More... | |
int | GetParamAsInt (const char *param, int def) const |
Returns an integer value for the given parameter or returns the default value. More... | |
int | GetParamAsInt (const char *param) const |
Returns an integer value for the given parameter. More... | |
std::vector< int > | GetParamAsInts (const char *param, std::vector< int > def) const |
Returns a vector of int values for the given parameter or returns the default value. More... | |
std::vector< int > | GetParamAsInts (const char *param) const |
Returns a vector of int values for the given parameter. More... | |
unsigned int | GetParamAsUInt (const char *param, unsigned int def) const |
Returns an unsigned integer value for the given parameter or returns the default value. More... | |
unsigned int | GetParamAsUInt (const char *param) const |
Returns an unsigned integer value for the given parameter. More... | |
std::vector< unsigned int > | GetParamAsUInts (const char *param, std::vector< unsigned int > def) const |
Returns a vector of unsigned int values for the given parameter or returns the default value. More... | |
std::vector< unsigned int > | GetParamAsUInts (const char *param) const |
Returns a vector of unsigned int values for the given parameter. More... | |
bool | GetParamAsBool (const char *param, bool def) const |
Returns a boolean value for the given parameter. More... | |
bool | GetParamAsBool (const char *param) const |
Returns a boolean value for the given parameter. More... | |
std::string | GetParamAsString (const char *param, const char *def) const |
Returns a string value for the given parameter or returns the default one. More... | |
bool | CheckParamPresence (const char *param) const |
Checks the param presence in the layer. More... | |
std::string | GetParamAsString (const char *param) const |
Returns a string value for the given parameter. More... | |
std::vector< std::string > | GetParamAsStrings (const char *param, std::vector< std::string > def) const |
Static Public Member Functions inherited from InferenceEngine::CNNLayer | |
static float | ie_parse_float (const std::string &str) |
Parse string with float in accordance with IE rules. More... | |
static std::string | ie_serialize_float (float value) |
serialize float with c_locale formating used for default values serializing | |
Base class for recurrent cell layers.
std::vector<float> InferenceEngine::RNNCellBase::activation_alpha |
Alpha parameters of activations.
Respective to activation list.
std::vector<float> InferenceEngine::RNNCellBase::activation_beta |
Beta parameters of activations.
Respective to activation list.
std::vector<std::string> InferenceEngine::RNNCellBase::activations |
Activations used inside recurrent cell.
Valid values: sigmoid, tanh, relu
float InferenceEngine::RNNCellBase::clip = 0.0f |
Clip data into range [-clip, clip] on input of activations.
clip==0.0f means no clipping
int InferenceEngine::RNNCellBase::hidden_size = 0 |
Size of hidden state data.
In case of batch output state tensor will have shape [N, hidden_size]