code: def get_norms(self):
      lines = [
          "constituency_parser." + x
          for x in self.constituency_parser.get_norms()
      ]
      for name, param in self.named_parameters():
          if param.requires_grad and not name.startswith(
              "constituency_parser."
          ):
              lines.append("%s %.6g" % (name, torch.norm(param).item()))
      return lines
  
file_path: stanza/stanza/models/constituency/tree_embedding.py
imports: import torch
  import torch.nn
  from stanza.models.constituency.trainer import Trainer
label_desc: Use image node_id 4 for calling the TreeEmbedding obj's underlying member method code with example usage: obj.get_norms() and returns: lines