parameters: (
      input, shape=None, dtype=None, name=None
  )
return_statement: return core_ops.io_audio_decode_flac(input, shape=shape, dtype=dtype, name=name)
docstring: Decode Flac audio from input string.
  
      Args:
        input: A string `Tensor` of the audio input.
        shape: The shape of the audio.
        dtype: The data type of the audio, only
          tf.uint8, tf.int16 and tf.int32 are supported.
        name: A name for the operation (optional).
  
      Returns:
        output: Decoded audio.
docstring_summary: Decode Flac audio from input string.
docstring_tokens: Decode Flac audio from input string .
function: def decode_flac(
      input, shape=None, dtype=None, name=None
  ):  # pylint: disable=redefined-builtin
      """Decode Flac audio from input string.
  
      Args:
        input: A string `Tensor` of the audio input.
        shape: The shape of the audio.
        dtype: The data type of the audio, only
          tf.uint8, tf.int16 and tf.int32 are supported.
        name: A name for the operation (optional).
  
      Returns:
        output: Decoded audio.
      """
      if shape is None:
          shape = tf.constant([-1, -1], tf.int64)
      assert dtype is not None, "dtype (tf.uint8/tf.int16/tf.int32) must be provided"
      return core_ops.io_audio_decode_flac(input, shape=shape, dtype=dtype, name=name)
function_tokens: def decode_flac ( input , shape = None , dtype = None , name = None ) : # pylint: disable=redefined-builtin if shape is None : shape = tf . constant ( [ - 1 , - 1 ] , tf . int64 ) assert dtype is not None , "dtype (tf.uint8/tf.int16/tf.int32) must be provided" return core_ops . io_audio_decode_flac ( input , shape = shape , dtype = dtype , name = name )