class_docstr: Gated Embedding Unit
  Args:
      input_dimension (int): dimension of input
      output_dimension (int): dimension of output
      use_bn (bool): use batch normalization
      normalize (bool): normalization
code: def forward(self, x):
      x = self.fc(x)
      x = self.cg(x)
      if self.normalize:
          x = F.normalize(x, dim=-1)
      return x
  
imports: import os
  import torch
  import torch.nn.functional
  from typing import Any, List, Dict
  from collections import OrderedDict
  from torch import nn
  from towhee.models.mdmmt.bert_mmt import BertMMT
label_desc: Use image node_id 2 for calling the GatedEmbeddingUnit obj's underlying member method code with example usage: obj.forward(x) and returns: x