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