code: def __init__(self, emb_dim):
      super().__init__()
      self.emb_dim = emb_dim
  
      inv_freq = torch.exp(
          torch.arange(0, self.emb_dim, 2, dtype=torch.float32)
          * -(math.log(10000.0) / self.emb_dim)
      )
      self.register_buffer("inv_freq", inv_freq)
  
imports: import torch
  import logging
  import torch.nn
  import numpy
  from typing import Optional
  from speechbrain.dataio.dataio import length_to_mask
  import torch.nn.functional
  import math
label_desc: Use image node_id 1 to create a new RelPosEncXL object from inherited base classes: nn with example: obj = RelPosEncXL(emb_dim)