ee179f7da155c3cb8129b954db828906886ad4e4,keras/layers/core.py,AutoEncoder,set_weights,#AutoEncoder#Any#,378

Before Change

    def set_weights(self, weights):
        models = self.encoders + self.decoders
        for i in range(len(models)):
            nb_param = len(models[i].params)
            models[i].set_weights(weights[:nb_param])
            weights = weights[nb_param:]

    def get_input(self, train=False):
        if hasattr(self.encoders[0], "previous"):
            return  self.encoders[0].previous.get_output(train=train)
        else:

After Change

    def set_weights(self, weights):
        nb_param = len(self.encoder.params)
        self.encoder.set_weights(weights[:nb_param])
        self.decoder.set_weights(weights[nb_param:])

    def get_input(self, train=False):
        return self.encoder.get_input(train)

Instances