class_docstr: RegLoss, L2 regularization on model parameters
class_docstr_tok: ["RegLoss",",","L2","regularization","on","model","parameters"]
code: def forward(self, parameters):
      reg_loss = None
      for W in parameters:
          if reg_loss is None:
              reg_loss = W.norm(2)
          else:
              reg_loss = reg_loss + W.norm(2)
      return reg_loss
  
file_path: RecBole/recbole/model/loss.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the RegLoss obj's underlying member method code with example usage: obj.forward(parameters) and returns: reg_loss