Installing pre-built binaries

torchaudio has binary distributions for PyPI (pip) and Anaconda (conda).

Please refer to https://pytorch.org/get-started/locally/ for the details.

Note

Each torchaudio package is compiled against specific version of torch. Please refer to the following table and install the correct pair of torch and torchaudio.

Note

Starting 0.10, torchaudio has CPU-only and CUDA-enabled binary distributions, each of which requires a corresponding PyTorch distribution.

Note

This software was compiled against an unmodified copies of FFmpeg, with the specific rpath removed so as to enable the use of system libraries. The LGPL source can be downloaded from the following locations: n4.1.8 (license), n5.0.3 (license) and n6.0 (license).

Dependencies

• PyTorch

  Please refer to the compatibility matrix bellow for supported PyTorch versions.

Optional Dependencies

• FFmpeg

  Required to use torchaudio.io module. and backend="ffmpeg" in I/O functions.

  Starting version 2.1, TorchAudio official binary distributions are compatible with FFmpeg version 6, 5 and 4. (>=4.4, <7). At runtime, TorchAudio first looks for FFmpeg 6, if not found, then it continues to looks for 5 and move on to 4.

  There are multiple ways to install FFmpeg libraries. Please refer to the official documentation for how to install FFmpeg. If you are using Anaconda Python distribution, conda install -c conda-forge 'ffmpeg<7' will install compatible FFmpeg libraries.

  If you need to specify the version of FFmpeg TorchAudio searches and links, you can specify it via the environment variable TORIO_USE_FFMPEG_VERSION. For example, by setting TORIO_USE_FFMPEG_VERSION=5, TorchAudio will only look for FFmpeg 5.

  If for some reason, this search mechanism is causing an issue, you can disable the FFmpeg integration entirely by setting the environment variable TORIO_USE_FFMPEG=0.

  There are multiple ways to install FFmpeg libraries. If you are using Anaconda Python distribution, conda install -c conda-forge 'ffmpeg<7' will install compatible FFmpeg libraries.

  Note

  When searching for FFmpeg installation, TorchAudio looks for library files which have names with version numbers. That is, libavutil.so.<VERSION> for Linux, libavutil.<VERSION>.dylib for macOS, and avutil-<VERSION>.dll for Windows. Many public pre-built binaries follow this naming scheme, but some distributions have un-versioned file names. If you are having difficulties detecting FFmpeg, double check that the library files you installed follow this naming scheme, (and then make sure that they are in one of the directories listed in library search path.)

• SoX

  Required to use backend="sox" in I/O functions.

  Starting version 2.1, TorchAudio requires separately installed libsox.

  If dynamic linking is causing an issue, you can set the environment variable TORCHAUDIO_USE_SOX=0, and TorchAudio won’t use SoX.

  Note

  TorchAudio looks for a library file with unversioned name, that is libsox.so for Linux, and libsox.dylib for macOS. Some package managers install the library file with different name. For example, aptitude on Ubuntu installs libsox.so.3. To have TorchAudio link against it, you can create a symbolic link to it with name libsox.so (and put the symlink in a library search path).

  Note

  TorchAudio is tested on libsox 14.4.2. (And it is unlikely that other versions would work.)

• SoundFile

  Required to use backend="soundfile" in I/O functions.

• sentencepiece

  Required for performing automatic speech recognition with Emformer RNN-T. You can install it by running pip install sentencepiece.

• deep-phonemizer

  Required for performing text-to-speech with Tacotron2 Text-To-Speech.

• kaldi_io

  Required to use torchaudio.kaldi_io module.

Compatibility Matrix

The official binary distributions of TorchAudio contain extension modules which are written in C++ and linked against specific versions of PyTorch.

TorchAudio and PyTorch from different releases cannot be used together. Please refer to the following table for the matching versions.

PyTorch	TorchAudio	Python
2.1.0	2.1.0	>=3.8, <=3.11
2.0.1	2.0.2	>=3.8, <=3.11
2.0.0	2.0.1	>=3.8, <=3.11
1.13.1	0.13.1	>=3.7, <=3.10
1.13.0	0.13.0	>=3.7, <=3.10
1.12.1	0.12.1	>=3.7, <=3.10
1.12.0	0.12.0	>=3.7, <=3.10
1.11.0	0.11.0	>=3.7, <=3.9
1.10.0	0.10.0	>=3.6, <=3.9
1.9.1	0.9.1	>=3.6, <=3.9
1.8.1	0.8.1	>=3.6, <=3.9
1.7.1	0.7.2	>=3.6, <=3.9
1.7.0	0.7.0	>=3.6, <=3.8
1.6.0	0.6.0	>=3.6, <=3.8
1.5.0	0.5.0	>=3.5, <=3.8
1.4.0	0.4.0	==2.7, >=3.5, <=3.8