captum/attr/_core/layer/layer_integrated_gradients.py [143:160]:
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    def attribute(
        self,
        inputs: Union[Tensor, Tuple[Tensor, ...]],
        baselines: BaselineType = None,
        target: TargetType = None,
        additional_forward_args: Any = None,
        n_steps: int = 50,
        method: str = "gausslegendre",
        internal_batch_size: Union[None, int] = None,
        return_convergence_delta: bool = False,
        attribute_to_layer_input: bool = False,
    ) -> Union[
        Union[Tensor, Tuple[Tensor, ...], List[Union[Tensor, Tuple[Tensor, ...]]]],
        Tuple[
            Union[Tensor, Tuple[Tensor, ...], List[Union[Tensor, Tuple[Tensor, ...]]]],
            Tensor,
        ],
    ]:
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captum/attr/_core/layer/layer_integrated_gradients.py [164:181]:
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    def attribute(
        self,
        inputs: Union[Tensor, Tuple[Tensor, ...]],
        baselines: BaselineType = None,
        target: TargetType = None,
        additional_forward_args: Any = None,
        n_steps: int = 50,
        method: str = "gausslegendre",
        internal_batch_size: Union[None, int] = None,
        return_convergence_delta: bool = False,
        attribute_to_layer_input: bool = False,
    ) -> Union[
        Union[Tensor, Tuple[Tensor, ...], List[Union[Tensor, Tuple[Tensor, ...]]]],
        Tuple[
            Union[Tensor, Tuple[Tensor, ...], List[Union[Tensor, Tuple[Tensor, ...]]]],
            Tensor,
        ],
    ]:
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