class_docstr: NNCF is an neural network enhanced matrix factorization model which also captures neighborhood information.
  We implement the NNCF model with three ways to process neighborhood information.
code: def _init_weights(self, module):
      if isinstance(module, nn.Embedding):
          normal_(module.weight.data, mean=0.0, std=0.01)
  
imports: import torch
  import torch.nn
  from torch.nn.init import normal_
  from recbole.model.abstract_recommender import GeneralRecommender
  from recbole.model.layers import MLPLayers
  from recbole.utils import InputType
  from recbole.model.general_recommender.itemknn import ComputeSimilarity
  import numpy
label_desc: Use image node_id 2 for calling the NNCF obj's underlying member method code with example usage: obj._init_weights(module) without return types