import tensorflow as tf

                                    strides=stride, padding="SAME", use_bias=False)
                x = x * mask_ratio
                if use_bias:
                    bias = tf.get_variable("bias" + id, [channels], initializer=tf.constant_initializer(0.0))
                    x = tf.nn.bias_add(x, bias)
                return x * update_mask

        if padding == "REFLECT":
