3140a57326e533548df00f0f128cd356932d400b,thinc/neural/_classes/model.py,Model,__init__,#Model#,50

Before Change

        if self.ops is None:
            self.ops = util.get_ops(self.device)
        self._root = kwargs.get("root", self)
        self._parent = kwargs.get("parent", None)
        if self._parent is not None:
            self.name = self._parent.name + "-" + self.name
        self.params = self.Params(self.ops)

After Change

        self._layers = []
        self._operators = {}
        for name in self.desc.dimensions:
            if not hasattr(self, name):
                setattr(self, name, None)
        self.desc.dimensions.set_from_init(self.args)

    def begin_training(self, train_X, train_Y):
        set_dimensions_given_data(self, train_X, train_Y)

Instances