captum/attr/_core/shapley_value.py [439:452]:
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                combined_inputs = tuple(
                    torch.cat(aligned_tensors, dim=0)
                    for aligned_tensors in zip(*current_tensors_list)
                )
                combined_masks = tuple(
                    torch.stack(aligned_masks, dim=0)
                    for aligned_masks in zip(*current_mask_list)
                )
                yield (
                    combined_inputs,
                    additional_args_repeated,
                    target_repeated,
                    combined_masks,
                )
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captum/attr/_core/shapley_value.py [467:480]:
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            combined_inputs = tuple(
                torch.cat(aligned_tensors, dim=0)
                for aligned_tensors in zip(*current_tensors_list)
            )
            combined_masks = tuple(
                torch.stack(aligned_masks, dim=0)
                for aligned_masks in zip(*current_mask_list)
            )
            yield (
                combined_inputs,
                additional_args_repeated,
                target_repeated,
                combined_masks,
            )
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