code: def forward(self, x):
      if not self.transposed:
          x = x.transpose(-1, -2)
  
      # x = (x - self.bias.unsqueeze(-1))/self.weight.unsqueeze(-1)
      x = x * self.norm_input.s + self.norm_input.m
  
      if not self.transposed:
          return x.transpose(-1, -2)
      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 ReversibleInstanceNorm1dOutput obj's underlying member method code with example usage: obj.forward(x) and returns: x, x