# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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# ==============================================================================
# pylint: disable=g-short-docstring-punctuation
"""## Encoding and decoding audio using FFmpeg

TensorFlow provides Ops to decode and encode audio files using the
[FFmpeg](https://www.ffmpeg.org/) library. FFmpeg must be
locally [installed](https://ffmpeg.org/download.html) for these Ops to succeed.

Example:

```python
from tensorflow.contrib import ffmpeg

audio_binary = tf.read_file('song.mp3')
waveform = ffmpeg.decode_audio(
    audio_binary, file_format='mp3', samples_per_second=44100, channel_count=2)
uncompressed_binary = ffmpeg.encode_audio(
    waveform, file_format='wav', samples_per_second=44100)
```

@@decode_audio
@@encode_audio
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from tensorflow.contrib.ffmpeg.ffmpeg_ops import decode_audio
from tensorflow.contrib.ffmpeg.ffmpeg_ops import encode_audio
