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Public Member Functions | Data Fields
KerasLayer Class Reference
Inheritance diagram for KerasLayer:
SerializableObject

Public Member Functions

int apply_sparse (vector< pair< int, float > > &sline, vector< float > &output) const
 
int apply_sparse (map< int, float > &sline, vector< float > &output) const
 
int apply (vector< float > &in, vector< float > &out) const
 
int apply_bn (vector< float > &in, vector< float > &out) const
 
int apply_activation (vector< float > &in, vector< float > &out) const
 
int apply (MedMat< float > &in, MedMat< float > &out) const
 
int apply_bn (MedMat< float > &in, MedMat< float > &out) const
 
int apply_activation (MedMat< float > &in, MedMat< float > &out) const
 
int init (map< string, string > &_map)
 Virtual to init object from parsed fields.
 
- Public Member Functions inherited from SerializableObject
virtual int version () const
 Relevant for serializations.
 
virtual string my_class_name () const
 For better handling of serializations it is highly recommended that each SerializableObject inheriting class will implement the next method.
 
virtual void serialized_fields_name (vector< string > &field_names) const
 The names of the serialized fields.
 
virtual void * new_polymorphic (string derived_name)
 for polymorphic classes that want to be able to serialize/deserialize a pointer * to the derived class given its type one needs to implement this function to return a new to the derived class given its type (as in my_type)
 
virtual void pre_serialization ()
 
virtual void post_deserialization ()
 
virtual size_t get_size ()
 Gets bytes sizes for serializations.
 
virtual size_t serialize (unsigned char *blob)
 Serialiazing object to blob memory. return number ob bytes wrote to memory.
 
virtual size_t deserialize (unsigned char *blob)
 Deserialiazing blob to object. returns number of bytes read.
 
size_t serialize_vec (vector< unsigned char > &blob)
 
size_t deserialize_vec (vector< unsigned char > &blob)
 
virtual size_t serialize (vector< unsigned char > &blob)
 
virtual size_t deserialize (vector< unsigned char > &blob)
 
virtual int read_from_file (const string &fname)
 read and deserialize model
 
virtual int write_to_file (const string &fname)
 serialize model and write to file
 
virtual int read_from_file_unsafe (const string &fname)
 read and deserialize model without checking version number - unsafe read
 
int init_from_string (string init_string)
 Init from string.
 
int init_params_from_file (string init_file)
 
int init_param_from_file (string file_str, string &param)
 
int update_from_string (const string &init_string)
 
virtual int update (map< string, string > &map)
 Virtual to update object from parsed fields.
 
virtual string object_json () const
 

Data Fields

int type = K_UNKNOWN
 
string name = ""
 
int in_dim = 0
 
int out_dim = 0
 
int n_bias = 0
 
int activation = A_UNKNOWN
 
int dim
 
float drop_rate
 
float leaky_alpha
 
MedMat< float > wgts
 
MedMat< float > twgts
 
vector< float > bias
 
unordered_map< string, int > name_to_type = { { "dense" , K_DENSE } ,{ "leaky", K_LEAKY } ,{ "dropout" , K_DROPOUT },{ "batch_normalization" , K_BN } , {"activation", K_ACTIVATION} }
 
unordered_map< string, int > name_to_activation = { { "linear" , A_LINEAR } ,{ "relu", A_RELU } ,{ "leaky" , A_LEAKY },{ "sigmoid" , A_SIGMOID }, {"softmax", A_SOFTMAX} }
 

Member Function Documentation

◆ init()

int KerasLayer::init ( map< string, string > &  map)
virtual

Virtual to init object from parsed fields.

Reimplemented from SerializableObject.


The documentation for this class was generated from the following files: