ó V¾÷Xc@`s"dZddlmZddlmZddlmZddlZddlmZddlmZddl m Z dd l m Z dd l m Z dd l mZdd l mZdddd „Ze jdƒddd„Ze jdƒdd„ZejdkredddgƒndS(s)Encoding and decoding audio using FFmpeg.i(tabsolute_import(tdivision(tprint_functionN(tgen_decode_audio_op_py(tgen_encode_audio_op_py(terrors(t load_library(tops(tresource_loader(t tf_loggingcC`stj|d|d|d|ƒS(stCreate an op that decodes the contents of an audio file. Note that ffmpeg is free to select the "best" audio track from an mp4. https://trac.ffmpeg.org/wiki/Map Args: contents: The binary contents of the audio file to decode. This is a scalar. file_format: A string specifying which format the contents will conform to. This can be mp3, mp4, ogg, or wav. samples_per_second: The number of samples per second that is assumed. In some cases, resampling will occur to generate the correct sample rate. channel_count: The number of channels that should be created from the audio contents. If the contents have more than this number, then some channels will be merged or dropped. If contents has fewer than this, then additional channels will be created from the existing ones. Returns: A rank 2 tensor that has time along dimension 0 and channels along dimension 1. Dimension 0 will be `samples_per_second * length` wide, and dimension 1 will be `channel_count` wide. If ffmpeg fails to decode the audio then an empty tensor will be returned. t file_formattsamples_per_secondt channel_count(Rt decode_audio(tcontentsR R R ((sf/tmp/pip-build-h1VYrz/tensorflow/tensorflow-1.0.1.data/purelib/tensorflow/contrib/ffmpeg/ffmpeg_ops.pyR st DecodeAudiocC`stj|d|d|ƒS(sCreates an op that encodes an audio file using sampled audio from a tensor. Args: audio: A rank 2 tensor that has time along dimension 0 and channels along dimension 1. Dimension 0 is `samples_per_second * length` long in seconds. file_format: The type of file to encode. "wav" is the only supported format. samples_per_second: The number of samples in the audio tensor per second of audio. Returns: A scalar tensor that contains the encoded audio in the specified file format. R R (Rt encode_audio(taudioR R ((sf/tmp/pip-build-h1VYrz/tensorflow/tensorflow-1.0.1.data/purelib/tensorflow/contrib/ffmpeg/ffmpeg_ops.pyRBst EncodeAudiocC`s¤yytj|ƒ}tj|ƒ}xT|p-gD]F}x=|jjD]}|j|krAPqAqAWtd||fƒ‚q.WWn$tj k rŸt j d|ƒnXdS(s7Loads a .so file containing the specified operators. Args: name: The name of the .so file to load. op_list: A list of names of operators that the library should have. If None then the .so file's contents will not be verified. Raises: NameError if one of the required ops is missing. s0Could not find operator %s in dynamic library %ss%s file could not be loaded.N( Rtget_path_to_datafileRtload_op_librarytOP_LISTtoptnamet NameErrorRt NotFoundErrortloggingtwarning(Rtop_listtfilenametlibraryt expected_optlib_op((sf/tmp/pip-build-h1VYrz/tensorflow/tensorflow-1.0.1.data/purelib/tensorflow/contrib/ffmpeg/ffmpeg_ops.pyt _load_libraryXs tnts ffmpeg.so(t__doc__t __future__RRRtosttensorflow.contrib.ffmpeg.opsRRttensorflow.python.frameworkRRRttensorflow.python.platformRR RtNoneR tNotDifferentiableRR!R(((sf/tmp/pip-build-h1VYrz/tensorflow/tensorflow-1.0.1.data/purelib/tensorflow/contrib/ffmpeg/ffmpeg_ops.pyts&