code: def __init__(self, tokens, dim):
      super(AbsPositionalEncoding1D, self).__init__()
      params = paddle.randn(shape=[1, tokens, dim])
      self.abs_pos_enc = paddle.create_parameter(
          shape=params.shape,
          dtype=str(params.numpy().dtype),
          default_initializer=paddle.nn.initializer.Assign(params),
      )
  
imports: from typing import List, Tuple
  import numpy
  import paddle
  import paddle.nn
  from paddle import Tensor
  from medicalseg.cvlibs import manager
label_desc: Use image node_id 1 to create a new AbsPositionalEncoding1D object from inherited base classes: nn with example: obj = AbsPositionalEncoding1D(tokens, dim)