import tensorflow as tf

                conv_weight = tf.Variable(tf.truncated_normal([1, 1, num_channels_in, output_length], stddev=0.1, dtype=tf.float32))
                conv = tf.nn.conv2d(input_data, conv_weight, strides=[1, 1, 1, 1], padding='SAME')
