code: def forward(self, x):
      if self.method == "mean" or self.method == "last":
          return x * self.normalizer.scale
      return x
  
imports: import math
  from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from einops import rearrange
  from opt_einsum import contract
label_desc: Use image node_id 2 for calling the TSInverseNormalization obj's underlying member method code with example usage: obj.forward(x) and returns: x, unknown