parameters: (input, shape=None, name=None)
return_statement: return core_ops.io_audio_decode_aac(input, shape=shape, name=name)
docstring: Decode MP4 (AAC) audio from input string.
  
      Args:
        input: A string `Tensor` of the audio input.
        shape: The shape of the audio.
        name: A name for the operation (optional).
  
      Returns:
        output: Decoded audio as tf.float32.
docstring_summary: Decode MP4 (AAC) audio from input string.
docstring_tokens: Decode MP4 ( AAC ) audio from input string .
function: def decode_aac(input, shape=None, name=None):  # pylint: disable=redefined-builtin
      """Decode MP4 (AAC) audio from input string.
  
      Args:
        input: A string `Tensor` of the audio input.
        shape: The shape of the audio.
        name: A name for the operation (optional).
  
      Returns:
        output: Decoded audio as tf.float32.
      """
      if shape is None:
          shape = tf.constant([-1, -1], tf.int64)
      if sys.platform == "linux":
          try:
              from tensorflow_io.python.ops import (  # pylint: disable=import-outside-toplevel,unused-import
                  ffmpeg_ops,
              )
          except NotImplementedError:
              pass
      return core_ops.io_audio_decode_aac(input, shape=shape, name=name)
function_tokens: def decode_aac ( input , shape = None , name = None ) : # pylint: disable=redefined-builtin if shape is None : shape = tf . constant ( [ - 1 , - 1 ] , tf . int64 ) if sys . platform == "linux" : try : from tensorflow_io . python . ops import ( # pylint: disable=import-outside-toplevel,unused-import ffmpeg_ops , ) except NotImplementedError : pass return core_ops . io_audio_decode_aac ( input , shape = shape , name = name )