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- from pathlib import Path
- from typing import Callable, Optional, Tuple, Union
- from torch import Tensor
- def load(
- filepath: Union[str, Path],
- out: Optional[Tensor] = None,
- normalization: Union[bool, float, Callable] = True,
- channels_first: bool = True,
- num_frames: int = 0,
- offset: int = 0,
- filetype: Optional[str] = None,
- ) -> Tuple[Tensor, int]:
- raise RuntimeError("No audio I/O backend is available.")
- def save(filepath: str, src: Tensor, sample_rate: int, precision: int = 16, channels_first: bool = True) -> None:
- raise RuntimeError("No audio I/O backend is available.")
- def info(filepath: str) -> None:
- raise RuntimeError("No audio I/O backend is available.")
|
