import tensorflow as tf

                            initializer=initialization.xavier_initializer(
                                shape=bias_shape,
                                dtype=self.dtype,
                                uniform=self.normal_initializer,
                                mask=None)))

                elif self.lesion_mu:
                    setattr(
                        self,
                        'mu_%s' % layer,
                        tf.constant(0.))
                else:
                    setattr(
                        self,
                        'mu_%s' % layer,
                        tf.constant(1.))

                if self.gamma:
                    setattr(
                        self,
