Code Duplication - zomux/deepy - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 12-16 lines in 2 locations

deepy/trainers/annealers.py 2 locations


        if type(self._learning_rate) == float:
            raise Exception("use shared_scalar to wrap the value in the config.")

    def invoke(self):
        """
        Run it, return whether to end training.
        """
        self._iter += 1
        if self._iter - max(self._trainer.best_iter, self._annealed_iter) >= self._patience:
            if self._annealed_times >= self._anneal_times:
                logging.info("ending")
                return True
            else:
                self._trainer.set_params(*self._trainer.best_params)
                self._learning_rate.set_value(self._learning_rate.get_value() * 0.5)
                self._annealed_times += 1
                self._annealed_iter = self._iter
                logging.info("annealed learning rate to %f" % self._learning_rate.get_value())
        return False

    @staticmethod
    def learning_rate(value=0.01):

        self._iter = 0
        self._rollback = rollback

    def invoke(self):
        self._iter += 1
        if self._iter >= self.iter_start_halving:
            if self._rollback:
                self._trainer.set_params(*self._trainer.best_params)
            self._learning_rate.set_value(self._learning_rate.get_value() * 0.5)
            logging.info("halving learning rate to %f" % self._learning_rate.get_value())
            self._trainer.network.train_logger.record("set learning rate to %f" % self._learning_rate.get_value())
        if self._iter >= self.end_at:
            logging.info("ending")
            return True
        return False


class ExponentialLearningRateAnnealer(TrainingController):

		@@ 31-46 (lines=16) @@
28		if type(self._learning_rate) == float:
29		raise Exception("use shared_scalar to wrap the value in the config.")
30
31		def invoke(self):
32		"""
33		Run it, return whether to end training.
34		"""
35		self._iter += 1
36		if self._iter - max(self._trainer.best_iter, self._annealed_iter) >= self._patience:
37		if self._annealed_times >= self._anneal_times:
38		logging.info("ending")
39		return True
40		else:
41		self._trainer.set_params(*self._trainer.best_params)
42		self._learning_rate.set_value(self._learning_rate.get_value() * 0.5)
43		self._annealed_times += 1
44		self._annealed_iter = self._iter
45		logging.info("annealed learning rate to %f" % self._learning_rate.get_value())
46		return False
47
48		@staticmethod
49		def learning_rate(value=0.01):
		@@ 70-81 (lines=12) @@
67		self._iter = 0
68		self._rollback = rollback
69
70		def invoke(self):
71		self._iter += 1
72		if self._iter >= self.iter_start_halving:
73		if self._rollback:
74		self._trainer.set_params(*self._trainer.best_params)
75		self._learning_rate.set_value(self._learning_rate.get_value() * 0.5)
76		logging.info("halving learning rate to %f" % self._learning_rate.get_value())
77		self._trainer.network.train_logger.record("set learning rate to %f" % self._learning_rate.get_value())
78		if self._iter >= self.end_at:
79		logging.info("ending")
80		return True
81		return False
82
83
84		class ExponentialLearningRateAnnealer(TrainingController):

zomux / deepy

Code Duplication Length = 12-16 lines in 2 locations

deepy/trainers/annealers.py 2 locations