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.

Dependencies

• PyTorch

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

Optional Dependencies

• 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.

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
2.6	2.6.0	>=3.9, <=3.13
2.5	2.5.0	>=3.8, <=3.11
2.4.1	2.4.1	>=3.8, <=3.11
2.4	2.4.0	>=3.8, <=3.11
2.3.1	2.3.1	>=3.8, <=3.11
2.3.0	2.3.0	>=3.8, <=3.11
2.2.2	2.2.2	>=3.8, <=3.11
2.2.1	2.2.1	>=3.8, <=3.11
2.2	2.2.0	>=3.8, <=3.11
2.1.2	2.1.2	>=3.8, <=3.11
2.1.1	2.1.1	>=3.8, <=3.11
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