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

Before Change

            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:

After Change

            self.set_input()
        return self.layers[0].get_input(train)

    @property
    def input_shape(self):
        return self.layers[0].input_shape

    @property
    def input(self):
        return self.get_input()

    def get_weights(self):
        weights = []
        for layer in self.layers:
            weights += layer.get_weights()
        return weights

    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:]

Instances