code: def forward(self, features: Dict[str, Tensor]):
      features["sentence_embedding"] = self.norm(
          features["sentence_embedding"]
      )
      return features
  
file_path: sentence-transformers/sentence_transformers/models/LayerNorm.py
imports: import torch
  from torch import Tensor
  from torch import nn
  from typing import Dict
  import os
  import json
label_desc: Use image node_id 2 for calling the LayerNorm obj's underlying member method code with example usage: obj.forward(features) and returns: features