code: def forward(self, x):
      x = x * math.sqrt(self.hidden_dim)
      x = x + torch.autograd.Variable(
          self.pe[:, : x.size(1)], requires_grad=False
      )
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import math
  import copy
label_desc: Use image node_id 2 for calling the PosEncoding obj's underlying member method code with example usage: obj.forward(x) and returns: x