### `tf.audio_summary(*args, **kwargs)` {#audio_summary}

Outputs a `Summary` protocol buffer with audio. (deprecated)

THIS FUNCTION IS DEPRECATED. It will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.audio. Note that tf.summary.histogram uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in.

  The summary has up to `max_outputs` summary values containing audio. The
  audio is built from `tensor` which must be 3-D with shape `[batch_size,
  frames, channels]` or 2-D with shape `[batch_size, frames]`. The values are
  assumed to be in the range of `[-1.0, 1.0]` with a sample rate of
  `sample_rate`.

  The `tag` argument is a scalar `Tensor` of type `string`.  It is used to
  build the `tag` of the summary values:

  *  If `max_outputs` is 1, the summary value tag is '*tag*/audio'.
  *  If `max_outputs` is greater than 1, the summary value tags are
     generated sequentially as '*tag*/audio/0', '*tag*/audio/1', etc.

  Args:
    tag: A scalar `Tensor` of type `string`. Used to build the `tag`
      of the summary values.
    tensor: A 3-D `float32` `Tensor` of shape `[batch_size, frames, channels]`
      or a 2-D `float32` `Tensor` of shape `[batch_size, frames]`.
    sample_rate: A Scalar `float32` `Tensor` indicating the sample rate of the
      signal in hertz.
    max_outputs: Max number of batch elements to generate audio for.
    collections: Optional list of ops.GraphKeys.  The collections to add the
      summary to.  Defaults to [ops.GraphKeys.SUMMARIES]
    name: A name for the operation (optional).

  Returns:
    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
    buffer.