class_docstr: Computes activation of selected layer for given input.
code: def multiplies_by_inputs(self):
      return True
  
file_path: captum/captum/attr/_core/layer/layer_activation.py
imports: from typing import Any, Callable, List, Tuple, Union
  import torch
  from captum._utils.common import _format_output
  from captum._utils.gradient import _forward_layer_eval
  from captum._utils.typing import ModuleOrModuleList
  from captum.attr._utils.attribution import LayerAttribution
  from captum.log import log_usage
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 3 for calling the LayerActivation obj's underlying member method code with example usage: obj.multiplies_by_inputs() and returns: True