code: def _register_hooks(self, module: Module):
      if isinstance(module, torch.nn.ReLU):
          hooks = _register_backward_hook(
              module, self._backward_hook, self
          )
          self.backward_hooks.extend(hooks)
  
imports: import warnings
  from typing import Any, List, Tuple, Union
  import torch
  import torch.nn.functional
  from captum._utils.common import _format_output, _format_tensor_into_tuples, _is_tuple, _register_backward_hook
  from captum._utils.gradient import apply_gradient_requirements, undo_gradient_requirements
  from captum._utils.typing import TargetType, TensorOrTupleOfTensorsGeneric
  from captum.attr._utils.attribution import GradientAttribution
  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 3 for calling the ModifiedReluGradientAttribution obj's underlying member method code with example usage: obj._register_hooks(module) without return types