code: def initialize(self, x):
      self._reset()
      if x.size(2) < self.maxlen:
          x = nn.functional.pad(x, (self.maxlen - x.size(2), 0))
      else:
          x = x.narrow(2, x.size(2) - self.maxlen, self.maxlen)
      self.data = x
  
imports: from typing import List, Optional
  from collections import deque
  import math
  import torch
  from torch import Tensor
  from torch import nn
  from torch.distributions import Distribution
  from torch.distributions import Normal
label_desc: Use image node_id 3 for calling the DilatedQueue obj's underlying member method code with example usage: obj.initialize(x) without return types