class_docstr: EmbLoss, regularization on embeddings
class_docstr_tok: ["EmbLoss",",","regularization","on","embeddings"]
code: def __init__(self, norm=2):
      super(EmbLoss, self).__init__()
      self.norm = norm
  
file_path: RecBole/recbole/model/loss.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new EmbLoss object from inherited base classes: nn with example: obj = EmbLoss(norm)