code: def regularization_loss(self, coef):
      losses = [
          dy.l2_norm(p) ** 2 for p in self.pc_param.parameters_list()
      ]
      return (coef / 2) * dy.esum(losses)
  
file_path: dynet/examples/treelstm/model.py
imports: import dynet
  import numpy
  import os
label_desc: Use image node_id 5 for calling the TreeLSTMClassifier obj's underlying member method code with example usage: obj.regularization_loss(coef) and returns: unknown