class_docstr: A customized ReLU with the backward pass imputed for guided backpropagation (https://arxiv.org/abs/1412.6806).
class_docstr_tok: ["A","customized","ReLU","with","the","backward","pass","imputed","for","guided","backpropagation","(","https",":","\/\/arxiv.org\/abs\/1412.6806",")","."]
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      out: torch.Tensor = _AutoGradReLU.apply(x)
      return out
  
imports: from __future__ import annotations
  from functools import partial
  from typing import Any, Callable
  import torch
  from monai.networks.utils import replace_modules_temp
  from monai.utils.module import optional_import
  from monai.visualize.class_activation_maps import ModelWithHooks
label_desc: Use image node_id 1 for calling the _GradReLU obj's underlying member method code with example usage: obj.forward(x) and returns: out