code: def load(input_path):
      with open(os.path.join(input_path, "config.json")) as fIn:
          config = json.load(fIn)
  
      model = LayerNorm(**config)
      model.load_state_dict(
          torch.load(
              os.path.join(input_path, "pytorch_model.bin"),
              map_location=torch.device("cpu"),
          )
      )
      return model
  
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 5 for calling the LayerNorm obj's underlying member method code with example usage: obj.load(input_path) and returns: model