55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
|
import os
|
||
|
from typing import BinaryIO, Optional, Tuple, Union
|
||
|
|
||
|
import torch
|
||
|
from torchaudio.io import CodecConfig
|
||
|
|
||
|
from . import soundfile_backend
|
||
|
from .backend import Backend
|
||
|
from .common import AudioMetaData
|
||
|
|
||
|
|
||
|
class SoundfileBackend(Backend):
|
||
|
@staticmethod
|
||
|
def info(uri: Union[BinaryIO, str, os.PathLike], format: Optional[str], buffer_size: int = 4096) -> AudioMetaData:
|
||
|
return soundfile_backend.info(uri, format)
|
||
|
|
||
|
@staticmethod
|
||
|
def load(
|
||
|
uri: Union[BinaryIO, str, os.PathLike],
|
||
|
frame_offset: int = 0,
|
||
|
num_frames: int = -1,
|
||
|
normalize: bool = True,
|
||
|
channels_first: bool = True,
|
||
|
format: Optional[str] = None,
|
||
|
buffer_size: int = 4096,
|
||
|
) -> Tuple[torch.Tensor, int]:
|
||
|
return soundfile_backend.load(uri, frame_offset, num_frames, normalize, channels_first, format)
|
||
|
|
||
|
@staticmethod
|
||
|
def save(
|
||
|
uri: Union[BinaryIO, str, os.PathLike],
|
||
|
src: torch.Tensor,
|
||
|
sample_rate: int,
|
||
|
channels_first: bool = True,
|
||
|
format: Optional[str] = None,
|
||
|
encoding: Optional[str] = None,
|
||
|
bits_per_sample: Optional[int] = None,
|
||
|
buffer_size: int = 4096,
|
||
|
compression: Optional[Union[CodecConfig, float, int]] = None,
|
||
|
) -> None:
|
||
|
if compression:
|
||
|
raise ValueError("soundfile backend does not support argument `compression`.")
|
||
|
|
||
|
soundfile_backend.save(
|
||
|
uri, src, sample_rate, channels_first, format=format, encoding=encoding, bits_per_sample=bits_per_sample
|
||
|
)
|
||
|
|
||
|
@staticmethod
|
||
|
def can_decode(uri, format) -> bool:
|
||
|
return True
|
||
|
|
||
|
@staticmethod
|
||
|
def can_encode(uri, format) -> bool:
|
||
|
return True
|