44d558ad7f13251650f40475eef6652df59e4b09,keras/layers/containers.py,Graph,set_previous,#Graph#Any#Any#,254

Before Change

                l.reset_states()

    def set_previous(self, layer, connection_map={}):
        if self.nb_input != layer.nb_output:
            raise Exception("Cannot connect layers: "
                            "input count does not match output count.")
        if self.nb_input == 1:
            self.inputs[self.input_order[0]].set_previous(layer)
        else:
            if not connection_map:
                raise Exception("Cannot attach multi-input layer: "
                                "no connection_map provided.")
            for k, v in connection_map.items():
                if k in self.inputs and v in layer.outputs:
                    self.inputs[k].set_previous(layer.outputs[v])
                else:
                    raise Exception("Invalid connection map.")

    def get_input(self, train=False):
        if len(self.inputs) == len(self.outputs) == 1:
            return self.inputs[self.input_order[0]].get_input(train)
        else:

After Change

    def set_weights(self, weights):
        for i in range(len(self.layers)):
            nb_param = len(self.layers[i].trainable_weights) + len(self.layers[i].non_trainable_weights)
            self.layers[i].set_weights(weights[:nb_param])
            weights = weights[nb_param:]

    def get_config(self):
        return {"name": self.__class__.__name__,
                "layers": [layer.get_config() for layer in self.layers]}

Instances