import tensorflow as tf

                            dtype=self.dtype))
                else:
                    bias_init = tf.ones(bias_shape, dtype=self.dtype)
                setattr(
                    self,
                    'gain_bias_%s' % layer,
                    tf.get_variable(
                        name='%s_gain_bias' % self.layer_name,
                        dtype=self.dtype,
                        trainable=True,
                        initializer=bias_init))
                if self.gate_bias_init == 'chronos':
                    bias_init = -bias_init
                else:
                    bias_init = tf.ones(bias_shape, dtype=self.dtype)
                setattr(
                    self,
                    'mix_bias_%s' % layer,
                    tf.get_variable(
                        name='%s_mix_bias' % self.layer_name,
                        dtype=self.dtype,
                        trainable=True,
                        initializer=bias_init))

                # Divisive params
                if self.alpha and not self.lesion_alpha:
                    setattr(
                        self,
