class_docstr: Transformer Encoder.
class_docstr_tok: ["Transformer","Encoder","."]
code: def forward(self, x):
      x = x + self.pos_embedding  # should broadcast to the same shape
      return self.ln(self.layers(self.dropout(x)))
  
imports: import copy
  import logging
  import math
  from collections import OrderedDict
  from functools import partial
  from typing import Dict, List, Mapping, NamedTuple, Union
  import torch
  import torch.nn
  from classy_vision.models import ClassyModel, register_model
  from .lecun_normal_init import lecun_normal_init
label_desc: Use image node_id 2 for calling the Encoder obj's underlying member method code with example usage: obj.forward(x) and returns: self