code: def forward(self, seq_len: int, *args, **kwargs) -> Tensor:
      return self.pos_embed(seq_len, *args, **kwargs)
  
imports: import math
  from typing import Optional
  import torch
  from torch import Tensor, nn
  from torch.nn import functional
  from cvnets.layers import BaseLayer
label_desc: Use image node_id 2 for calling the PositionalEmbedding obj's underlying member method code with example usage: obj.forward(seq_len) and returns: self