    def get_transforms(self, transform_type, split, is_train):
        """Split-specific feature transforms. Allowing train set
        wildcard `_train`, evaluation set wildcard `_eval` and general
        wildcard `*` for matching."""
        from copy import deepcopy

        cfg = deepcopy(self.config)
        _cur = cfg.get(f"{transform_type}transforms", {})
        cur = _cur.get(split)
        cur = _cur.get("_train") if cur is None and is_train else cur
        cur = _cur.get("_eval") if cur is None and not is_train else cur
        cur = _cur.get("*") if cur is None else cur
        return cur
Split-specific feature transforms. Allowing train set
wildcard `_train`, evaluation set wildcard `_eval` and general
wildcard `*` for matching.
fairseq/data/audio/data_cfg.py