code: def forward(self, *input, **kwargs):  # skipcq: PYL-W0221
      output = self.model(*input, **kwargs)
      for key in self.output_keys:
          output[key] = output[key].mul(self.temperature).sigmoid_()
      return output
  
imports: import torch
  from torch import nn, Tensor
  from typing import List, Union, Iterable, Optional, Dict, Tuple
  from pytorch_toolbelt.inference.tta import _deaugment_averaging
label_desc: Use image node_id 2 for calling the ApplySigmoidTo obj's underlying member method code with example usage: obj.forward() and returns: output