import tensorflow as tf

                            dtype=self.dtype,
                            initializer=initialization.xavier_initializer(
                                shape=bias_shape,
                                dtype=self.dtype,
                                uniform=self.normal_initializer,
                                mask=None)))
                else:
                    setattr(
                        self,
                        'gamma_%s' % layer,
                        tf.constant(1.))

                if self.multiplicative_excitation:
                    if self.lesion_kappa:
                        setattr(
                            self,
                            'kappa_%s' % layer,
                            tf.constant(0.))
                    else:
                        setattr(
