code: def maxpool3d(
      module: Module,
      inputs,
      outputs,
      grad_input,
      grad_output,
      eps: float = 1e-10,
  ):
      return maxpool(
          module,
          F.max_pool3d,
          F.max_unpool3d,
          inputs,
          outputs,
          grad_input,
          grad_output,
          eps=eps,
      )
  
imports: import typing
  import warnings
  from typing import Any, Callable, cast, List, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from captum._utils.common import _expand_additional_forward_args, _expand_target, _format_additional_forward_args, _format_baseline, _format_output, _format_tensor_into_tuples, _is_tuple, _register_backward_hook, _run_forward, _select_targets, ExpansionTypes
  from captum._utils.gradient import apply_gradient_requirements, undo_gradient_requirements
  from captum._utils.typing import BaselineType, Literal, TargetType, TensorOrTupleOfTensorsGeneric
  from captum.attr._utils.attribution import GradientAttribution
  from captum.attr._utils.common import _call_custom_attribution_func, _compute_conv_delta_and_format_attrs, _format_callable_baseline, _tensorize_baseline, _validate_input
  from captum.log import log_usage
  from torch import Tensor
  from torch.nn import Module
  from torch.utils.hooks import RemovableHandle
label_desc: Use image node_id 5 for calling a global function with example usage: maxpool3d(module, inputs, outputs, grad_input, grad_output, eps) and returns: maxpool