code: def forward(ctx, x):
      pos_mask = (x > 0).type_as(x)
      output = torch.mul(x, pos_mask)
      ctx.save_for_backward(x, output)
      return output
  
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 _AutoGradReLU obj's underlying member method code with example usage: obj.forward(ctx, x) and returns: output