code: def embedding_norm_loss(raw_embedding):
      norms = raw_embedding.norm(dim=1)
      return F.mse_loss(norms, torch.ones_like(norms), reduction="none")
  
imports: import copy
  import math
  import os
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import Dataset, DataLoader
label_desc: Use image node_id 2 for calling a global function with example usage: embedding_norm_loss(raw_embedding) and returns: F