def state_dict()

in sparse_autoencoder/model.py [0:0]


    def state_dict(self, destination=None, prefix="", keep_vars=False):
        sd = super().state_dict(destination, prefix, keep_vars)
        sd[prefix + "activation"] = self.activation.__class__.__name__
        if hasattr(self.activation, "state_dict"):
            sd[prefix + "activation_state_dict"] = self.activation.state_dict()
        return sd