2f7c8038a891f80318ba0aa0c3b800e91a1f5fe4,torch_geometric/nn/conv/message_passing.py,MessagePassing,__init__,#MessagePassing#Any#Any#Any#,44

Before Change

        self.__special_args__ = [(i, arg)
                                 for i, arg in enumerate(self.__message_args__)
                                 if arg in special_args]
        self.__message_args__ = [
            arg for arg in self.__message_args__ if arg not in special_args
        ]
        // skip self, out
        self.__update_args__ = getargspec(self.update)[0][2:]
        // skip self, out, index, dim, dim_size
        self.__aggregate_args__ = getargspec(self.aggregate)[0][5:]

After Change

                set(update_special_args) - set(self.__update_signature__.parameters)
            ))
        self.__aggregate_signature__ = inspect.signature(self.aggregate)
        if set(aggregate_special_args) - set(self.__aggregate_signature__.parameters):
            raise TypeError("Incomplete signature of aggregate: {} are missing required arguments".format(
                set(aggregate_special_args) - set(self.__aggregate_signature__.parameters)
            ))

    def propagate(self, edge_index, size=None, **kwargs):
        rThe initial call to start propagating messages.

        Args:

Instances