1 #ifndef EDGE_WITH_WEIGHT_H_ 
    2 #define EDGE_WITH_WEIGHT_H_ 
   28   Matrix& GetWeight() { 
return weights_;}
 
   29   Matrix& GetGradWeight() { 
return grad_weights_;}
 
   30   Matrix& GetBias() { 
return bias_;}
 
   31   Matrix& GetGradBias() { 
return grad_bias_;}
 
   33   float GetDecayedEpsilon(
float base_epsilon) 
const;
 
   34   float GetMomentum() 
const;
 
   36   virtual void InsertPolyak();
 
   37   virtual void BackupCurrent();
 
   38   virtual void LoadCurrentOnGPU();
 
   39   virtual void LoadPolyakOnGPU();
 
   43   void IncrementNumGradsReceived();
 
   44   int GetNumGradsReceived();
 
   46   Matrix weights_, grad_weights_, bias_, grad_bias_;
 
   51   vector<Matrix> polyak_weights_, polyak_bias_;
 
   52   Matrix weights_backup_, bias_backup_;
 
   53   const config::Edge::Initialization initialization_;
 
   54   const int polyak_queue_size_;
 
   56   bool polyak_queue_full_;
 
   59   const float init_wt_, init_bias_;
 
   61   const bool has_no_bias_;
 
   62   int num_grads_received_, num_shares_;
 
   63   const float scale_gradients_;
 
   65   const string pretrained_model_, pretrained_edge_name_;
 
virtual void SaveParameters(hid_t file)
Write the weights and biases in an hdf5 file. 
Definition: edge_with_weight.cc:30
virtual void Initialize()
Initialize the weights and biases. 
Definition: edge_with_weight.cc:109
virtual void DisplayWeights()
Displays the weights. 
Definition: edge_with_weight.cc:66
virtual void SetTiedTo(Edge *e)
Sets the edge to be tied to another edge. 
Definition: edge_with_weight.cc:230
virtual float GetRMSWeight()
Returns the root mean square weight value. 
Definition: edge_with_weight.cc:148
virtual bool HasNoParameters() const 
Returns whether the edge has any parameters. 
Definition: edge_with_weight.cc:161
This class is intended to be used as a base class for implementing edges. 
Definition: edge.h:13
virtual void DisplayWeightStats()
Displays the statistics of the weights. 
Definition: edge_with_weight.cc:74
Base class for all optimizers. 
Definition: optimizer.h:8
virtual void ReduceLearningRate(float factor)
Reduce the learning rate by factor. 
Definition: edge_with_weight.cc:92
virtual void UpdateWeights()
Update the weights. 
Definition: edge_with_weight.cc:97
A GPU matrix class. 
Definition: matrix.h:11
virtual int GetNumModules() const 
Returns the number of modules. 
Definition: edge_with_weight.cc:165
virtual void LoadParameters(hid_t file)
Load the weights and biases from an hdf5 file. 
Definition: edge_with_weight.cc:60
Base class for all edges which have weights. 
Definition: edge_with_weight.h:9