54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
import os
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from abc import ABC, abstractmethod
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from typing import BinaryIO, Optional, Tuple, Union
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from torch import Tensor
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from torchaudio.io import CodecConfig
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from .common import AudioMetaData
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class Backend(ABC):
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@staticmethod
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@abstractmethod
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def info(uri: Union[BinaryIO, str, os.PathLike], format: Optional[str], buffer_size: int = 4096) -> AudioMetaData:
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raise NotImplementedError
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@staticmethod
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@abstractmethod
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def load(
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uri: Union[BinaryIO, str, os.PathLike],
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frame_offset: int = 0,
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num_frames: int = -1,
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normalize: bool = True,
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channels_first: bool = True,
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format: Optional[str] = None,
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buffer_size: int = 4096,
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) -> Tuple[Tensor, int]:
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raise NotImplementedError
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@staticmethod
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@abstractmethod
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def save(
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uri: Union[BinaryIO, str, os.PathLike],
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src: Tensor,
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sample_rate: int,
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channels_first: bool = True,
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format: Optional[str] = None,
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encoding: Optional[str] = None,
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bits_per_sample: Optional[int] = None,
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buffer_size: int = 4096,
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compression: Optional[Union[CodecConfig, float, int]] = None,
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) -> None:
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raise NotImplementedError
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@staticmethod
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@abstractmethod
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def can_decode(uri: Union[BinaryIO, str, os.PathLike], format: Optional[str]) -> bool:
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raise NotImplementedError
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@staticmethod
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@abstractmethod
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def can_encode(uri: Union[BinaryIO, str, os.PathLike], format: Optional[str]) -> bool:
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raise NotImplementedError
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