Building from source¶
TorchAudio integrates PyTorch for numerical computation and third party libraries for multimedia I/O. It requires the following tools to build from source.
Most of the tools are available in Conda, so we recommend using conda.
Customizing the build¶
TorchAudio’s integration with third party libraries can be enabled/disabled via environment variables.
They can be enabled by passing
1 and disabled by
BUILD_SOX: Enable/disable I/O features based on libsox.
BUILD_KALDI: Enable/disable feature extraction based on Kaldi.
BUILD_RNNT: Enable/disable custom RNN-T loss function.
USE_FFMPEG: Enable/disable I/O features based on FFmpeg libraries.
USE_ROCM: Enable/disable AMD ROCm support.
USE_CUDA: Enable/disable CUDA support.
For the latest configurations and their default values, please check the source code. https://github.com/pytorch/audio/blob/main/tools/setup_helpers/extension.py