08f6bdeb5652550f36210f64aefda3d0d41e2d79,keras/optimizers.py,Adagrad,__init__,#Adagrad#Any#Any#Any#,306

Before Change

            self.lr = K.variable(lr, name="lr")
            self.decay = K.variable(decay, name="decay")
            self.iterations = K.variable(0, dtype="int64", name="iterations")
        if epsilon is None:
            epsilon = K.epsilon()
        self.epsilon = epsilon
        self.initial_decay = decay

    @interfaces.legacy_get_updates_support

After Change

    def __init__(self, learning_rate=0.01, momentum=0.,
                 nesterov=False, **kwargs):
        self.initial_decay = kwargs.pop("decay", 0.0)
        with K.name_scope(self.__class__.__name__):
            self.iterations = K.variable(0, dtype="int64", name="iterations")
            learning_rate = kwargs.pop("lr", learning_rate)
            self.lr = K.variable(learning_rate, name="learning_rate")
            self.momentum = K.variable(momentum, name="momentum")
            self.decay = K.variable(self.initial_decay, name="decay")
        self._momentum = True if momentum > 0. else False
        self.nesterov = nesterov
        super(SGD, self).__init__(**kwargs)

Instances