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Latest development documentation · Updated 2026-10-15
tensorplay.audio
tensorplay.audio is the audio I/O and processing toolkit of TensorPlay.
The listing below is a static
overview; backend availability depends on installed optional dependencies, so
this page intentionally does not use autodoc.
Top-level functions
load,save,info— audio file I/O and metadata (AudioMetaData)check_available,list_audio_backends,get_audio_backend,set_audio_backend— backend discovery and selection
Submodules
tensorplay.audio.functional— functional audio operationstensorplay.audio.transforms— composable audio transformstensorplay.audio.datasets— audio datasets (CMUDict, …)tensorplay.audio.models— reference audio modelstensorplay.audio.compliance— standards-compliance transformstensorplay.audio.utils— shared helpers
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tensorplay.accelerator
TensorPlay can run on CPUs and on accelerators such as GPUs. The tensorplay.accelerator module exposes a small, device-agnostic surface for asking which accelerator is currently active , so code that needs to know where
tensorplay.backends
tensorplay.backends exposes per-library controls: which math libraries this build links against, whether they are available, and the library-specific knobs that change how kernels run. The submodules are cpu , cuda , cud