def _singular_range_check(
    ranged_factor: Tensor,
    name: str,
    bounds: Optional[Tuple[float, float]] = None,
    skip_none: bool = False,
    mode: str = "2d",
) -> None:
    """Check if bounds[0] <= ranged_factor[0] <= bounds[1] and bounds[0] <= ranged_factor[1] <= bounds[1]."""
    if mode == "2d":
        dim_size = 2
    elif mode == "3d":
        dim_size = 3
    else:
        raise ValueError(f"'mode' shall be either 2d or 3d. Got {mode}")

    if skip_none and ranged_factor is None:
        return
    if bounds is None:
        bounds = (float("-inf"), float("inf"))
    if ranged_factor.dim() == 1 and len(ranged_factor) == dim_size:
        for f in ranged_factor:
            if not bounds[0] <= f <= bounds[1]:
                raise ValueError(f"{name} out of bounds. Expected inside {bounds}, got {ranged_factor}.")
    else:
        raise TypeError(
            f"{name} should be a float number or a tuple with length {dim_size} whose values between {bounds}."
            f"Got {ranged_factor}"
        )
Check if bounds[0] <= ranged_factor[0] <= bounds[1] and bounds[0] <= ranged_factor[1] <= bounds[1].
kornia/augmentation/utils/param_validation.py