Ejemplo n.º 1
0
 def print_train_info(self):
     print("seed: ", self.manual_seed)
     print('Number of feature parameters: {}'.format(
         count_model_prameters(self.feature)))
     print('Number of floor parameters: {}'.format(
         count_model_prameters(self.floor)))
     print('Number of corner parameters: {}'.format(
         count_model_prameters(self.corner)))
Ejemplo n.º 2
0
 def print_train_info(self):
     print("seed: ", self.manual_seed)
     print('Number of generator parameters: {}'.format(
         count_model_prameters(self.generator)))
     print('Number of regressor parameters: {}'.format(
         count_model_prameters(self.regressor)))
     print('Number of corner parameters: {}'.format(
         count_model_prameters(self.corner)))
Ejemplo n.º 3
0
 def print_train_info(self):
     print("seed: ", self.manual_seed)
     print('Number of model parameters: {}'.format(
         count_model_prameters(self.model)))
Ejemplo n.º 4
0
 def print_train_info(self):
     print('seed: ', self.manual_seed)
     print('Number of model parameters: {}'.format(count_model_prameters(self.encoder)))
     print('Number of model parameters: {}'.format(count_model_prameters(self.reg)))