dcgan.py
def save(self, step):
        """Save model.

        Postconditions:
            checkpoint directory is created if not found
            checkpoint directory is updated with new saved model

        Args:
            step: step of training to save
        """
        model_name = "DCGAN.model"
        model_dir = self.get_model_dir()
        checkpoint_dir = os.path.join(self.f.checkpoint_dir, model_dir)

        if not os.path.exists(checkpoint_dir):
            os.makedirs(checkpoint_dir)

        model_file_prefix = model_dir
        self.saver.save(self.sess,
                        os.path.join(checkpoint_dir, model_file_prefix),
                        global_step=step)
Save model.

        Postconditions:
            checkpoint directory is created if not found
            checkpoint directory is updated with new saved model

        Args:
            step: step of training to save
        
Save model.
Postconditions:
checkpoint directory is created if not found
checkpoint directory is updated with new saved model
Save model . Postconditions : checkpoint directory is created if not found checkpoint directory is updated with new saved model
def save(self, step):
        model_name = "DCGAN.model"
        model_dir = self.get_model_dir()
        checkpoint_dir = os.path.join(self.f.checkpoint_dir, model_dir)
        if not os.path.exists(checkpoint_dir):
            os.makedirs(checkpoint_dir)
        model_file_prefix = model_dir
        self.saver.save(self.sess,
                        os.path.join(checkpoint_dir, model_file_prefix),
                        global_step=step)
def save ( self , step ) : model_name = "DCGAN.model" model_dir = self . get_model_dir ( ) checkpoint_dir = os . path . join ( self . f . checkpoint_dir , model_dir ) if not os . path . exists ( checkpoint_dir ) : os . makedirs ( checkpoint_dir ) model_file_prefix = model_dir self . saver . save ( self . sess , os . path . join ( checkpoint_dir , model_file_prefix ) , global_step = step )
Save model.
Save model .
"""Save model.

        Postconditions:
            checkpoint directory is created if not found
            checkpoint directory is updated with new saved model

        Args:
            step: step of training to save
        """
self
step
step of training to save
step of training to save