[Question] "I got strongly recommended to pass the `sampling_rate` argument to this function... " Is this expected? about parler-tts HOT 5 CLOSED

@dataclass
class DataCollatorEncodecWithPadding:
    """
    Data collator that will dynamically pad the inputs received to the longest sequence in the batch or
    to `max_length` if `max_length` is set and `padding=max_length`.
    """

    feature_extractor: AutoFeatureExtractor
    audio_column_name: str
    feature_extractor_input_name: Optional[str] = "input_values"
    max_length: Optional[int] = None
    padding: Optional[str] = "longest"

    def __call__(self, features: List[Dict[str, Union[List[int], torch.Tensor]]]) -> Dict[str, torch.Tensor]:
        # split inputs and labels since they have to be of different lengths and need
        # different padding methods
        audios = [feature[self.audio_column_name]["array"] for feature in features]
        len_audio = [len(audio) for audio in audios]

        # here
        sampling_rate = self.feature_extractor.sampling_rate
        batch = self.feature_extractor(
            audios, sampling_rate=sampling_rate, return_tensors="pt", padding=self.padding, max_length=self.max_length
        )
        batch["len_audio"] = torch.tensor(len_audio).unsqueeze(1)
        return batch