code: def __init__(self, norm_input):
      super().__init__()
      self.transposed = norm_input.transposed
      self.weight = norm_input.norm.weight
      self.bias = norm_input.norm.bias
      self.norm_input = norm_input
  
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 1 to create a new ReversibleInstanceNorm1dOutput object from inherited base classes: nn with example: obj = ReversibleInstanceNorm1dOutput(norm_input)