code: def forward(self, x):
      x = x - torch.mean(x, (2, 3), True)
      tmp = torch.mul(x, x)  # or x ** 2
      tmp = torch.rsqrt(torch.mean(tmp, (2, 3), True) + self.epsilon)
      return x * tmp
  
imports: import os
  import time
  import timm
  import glob
  import numpy
  import os.path
  import torch
  import torch.distributed
  from torch import nn
  import torch.nn.functional
  from .iresnet import get_model
label_desc: Use image node_id 2 for calling the InstanceNorm obj's underlying member method code with example usage: obj.forward(x) and returns: unknown