code: def _forward_layer_eval_with_neuron_grads(
      forward_fn: Callable,
      inputs: Union[Tensor, Tuple[Tensor, ...]],
      layer: Module,
      additional_forward_args: Any = None,
      gradient_neuron_index: None = None,
      device_ids: Union[None, List[int]] = None,
      attribute_to_layer_input: bool = False,
  ) -> Tuple[Tuple[Tensor, ...], Literal[True, False]]:
      ...
  
imports: import threading
  import typing
  import warnings
  from typing import Any, Callable, Dict, List, Tuple, Union, cast
  import torch
  from torch import Tensor, device
  from torch.nn import Module
  from captum.attr._utils.batching import _reduce_list, _sort_key_list
  from captum.attr._utils.common import _run_forward, _verify_select_column
  from captum.attr._utils.typing import Literal, TargetType, TensorOrTupleOfTensorsGeneric
label_desc: Use image node_id 12 for calling a global function with example usage: _forward_layer_eval_with_neuron_grads(forward_fn, inputs, layer, additional_forward_args, gradient_neuron_index, device_ids, attribute_to_layer_input) without return types