code: def step(self, x, **kwargs):
      assert self._name_ in [
          "layer",
          "instance",
          "batch",
          "group",
          "none",
      ]
      if self.transposed:
          x = x.unsqueeze(-1)
      x = self.forward(x)
      if self.transposed:
          x = x.squeeze(-1)
      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 3 for calling the Normalization obj's underlying member method code with example usage: obj.step(x) and returns: x