5a813e74cf908a0cec0fe2d85293c5a55186fe1c,paysage/models/model_utils.py,ComputationGraph,__init__,#ComputationGraph#Any#,424

Before Change

        
        self.num_layers = num_layers
        self.weight_connections = self.build_weight_connections()
        // the layer connections are built from the weight_connections attribute
        self.layer_connections = self.build_layer_connections()

    def print_graph(self):
        
        Prints the state of the compute graph.  Used for debugging.

After Change

    and the corresponding edges.

    
    def __init__(self, num_layers):
        
        Builds the default incidence matrix.

        Args:
            num_layers: the number of layers in the model

        Returns:
            None

        
        self.num_layers = num_layers

        // build the incidence matrix
        incidence_matrix = self.default_incidence_matrix()
        self.connections = IncidenceMatrix(incidence_matrix)

        // define the connections between layers
        self.layer_connections = self.connections.adjacency_list
        self.weight_connections = self.connections.edge_list

        // the default properties
        // all layers can be sampled, trained, not excluded
        // all weights can be trained, not excluded
        self.clamped_sampling = []
        self.trainable_layers = range(len(self.layer_connections))
        self.trainable_weights = range(len(self.weight_connections))
        self.excluded_layers = []
        self.excluded_weights = []


    def default_incidence_matrix(self):
        

Instances