import tensorflow as tf

                                mask=None)))
                elif self.lesion_alpha:
                    setattr(
                        self,
                        'alpha_%s' % layer,
                        tf.constant(0.))
                else:
                    setattr(
                        self,
                        'alpha_%s' % layer,
                        tf.constant(1.))

                if self.mu and not self.lesion_mu:
                    setattr(
                        self,
                        'mu_%s' % layer,
                        tf.get_variable(
                            name='%s_mu' % self.layer_name,
                            dtype=self.dtype,
                            initializer=initialization.xavier_initializer(
