import tensorflow as tf

                    encoder_input_length_ = tf.to_int32(tf.ceil(encoder_input_length_ / strides[1]))

                feature_size = encoder_inputs_.shape[2].value
                channels = encoder_inputs_.shape[3].value
                time_steps = tf.shape(encoder_inputs_)[1]

                encoder_inputs_ = tf.reshape(encoder_inputs_, [batch_size, time_steps, feature_size * channels])
                conv_outputs_ = encoder_inputs_
