batch_size = 20
filename_queue = tf.train.string_input_producer(["/tmp/input.csv"], num_epochs=100000)
reader = tf.TextLineReader(skip_header_lines=0)
_, csv_row = reader.read(filename_queue)
record_defaults = [[0.], [0.]]
col_x, col_label = tf.decode_csv(csv_row, record_defaults=record_defaults)
min_after_dequeue = 10000
capacity = min_after_dequeue + 3 * batch_size
x_batch, label_batch = tf.train.shuffle_batch(
    [col_x, col_label], batch_size=batch_size, capacity=capacity,
    min_after_dequeue=min_after_dequeue)