def METHOD_NAME(writer, tag, n_audio=1):
    """Write a few dummy audio clips to writer."""
    step = 0
    session = tf.compat.v1.Session()
    min_frequency_hz = 440
    max_frequency_hz = 880
    sample_rate = 4000
    duration_frames = sample_rate // 2  # 0.5 seconds.
    frequencies_per_run = 1
    num_channels = 2
    p = tf.compat.v1.placeholder(
        "float32", (frequencies_per_run, duration_frames, num_channels)
    )
    s = tf.compat.v1.summary.audio(tag, p, sample_rate)
    for _ in range(n_audio):
        # Generate a different frequency for each channel to show stereo works.
        frequencies = np.random.random_integers(
            min_frequency_hz,
            max_frequency_hz,
            size=(frequencies_per_run, num_channels),
        )
        tiled_frequencies = np.tile(frequencies, (1, duration_frames))
        tiled_increments = np.tile(
            np.arange(0, duration_frames), (num_channels, 1)
        ).T.reshape(1, duration_frames * num_channels)
        tones = np.sin(
            2.0 * np.pi * tiled_frequencies * tiled_increments / sample_rate
        )
        tones = tones.reshape(
            frequencies_per_run, duration_frames, num_channels
        )
        summ = session.run(s, feed_dict={p: tones})
        writer.add_summary(summ, step)
        step += 20
    session.close()