captum/_utils/common.py [61:75]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
def _validate_target(num_samples: int, target: TargetType) -> None:
    if isinstance(target, list) or (
        isinstance(target, torch.Tensor) and torch.numel(target) > 1
    ):
        assert num_samples == len(target), (
            "The number of samples provied in the"
            "input {} does not match with the number of targets. {}".format(
                num_samples, len(target)
            )
        )


def _validate_input(
    inputs: Tuple[Tensor, ...],
    baselines: Tuple[Union[Tensor, int, float], ...],
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



captum/attr/_utils/common.py [30:44]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
def _validate_target(num_samples: int, target: TargetType) -> None:
    if isinstance(target, list) or (
        isinstance(target, torch.Tensor) and torch.numel(target) > 1
    ):
        assert num_samples == len(target), (
            "The number of samples provied in the"
            "input {} does not match with the number of targets. {}".format(
                num_samples, len(target)
            )
        )


def _validate_input(
    inputs: Tuple[Tensor, ...],
    baselines: Tuple[Union[Tensor, int, float], ...],
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -