code: def _compute_conv_delta_and_format_attrs(
      attr_algo: "GradientAttribution",
      return_convergence_delta: bool,
      attributions: Tuple[Tensor, ...],
      start_point: Union[
          int, float, Tensor, Tuple[Union[int, float, Tensor], ...]
      ],
      end_point: Union[Tensor, Tuple[Tensor, ...]],
      additional_forward_args: Any,
      target: TargetType,
      is_inputs_tuple: Literal[False] = False,
  ) -> Union[Tensor, Tuple[Tensor, Tensor]]:
      ...
  
imports: import typing
  from inspect import signature
  from typing import Any, Callable, List, Tuple, TYPE_CHECKING, Union
  import torch
  from captum._utils.common import _format_baseline, _format_output, _format_tensor_into_tuples, _validate_input
  from captum._utils.typing import BaselineType, Literal, TargetType, TensorOrTupleOfTensorsGeneric
  from captum.attr._utils.approximation_methods import SUPPORTED_METHODS
  from torch import Tensor
label_desc: Use image node_id 13 for calling a global function with example usage: _compute_conv_delta_and_format_attrs(attr_algo, return_convergence_delta, attributions, start_point, end_point, additional_forward_args, target, is_inputs_tuple) without return types