code: def forward(self, x, eps=1e-6):
      return F.normalize(x, dim=1, eps=eps)
  
imports: import copy
  import random
  from functools import wraps, partial
  import torch
  from torch import nn, einsum
  import torch.nn.functional
  from torchvision import transforms
  from einops import rearrange, reduce, repeat
label_desc: Use image node_id 1 for calling the L2Norm obj's underlying member method code with example usage: obj.forward(x, eps) and returns: F