code: def _get_padding_elem(
      self, L_in: int, stride: int, kernel_size: int, dilation: int
  ):
      if stride > 1:
          n_steps = math.ceil(
              ((L_in - kernel_size * dilation) / stride) + 1
          )
          L_out = stride * (n_steps - 1) + kernel_size * dilation
          padding = [kernel_size // 2, kernel_size // 2]
      else:
          L_out = (
              L_in - dilation * (kernel_size - 1) - 1
          ) // stride + 1
  
          padding = [(L_in - L_out) // 2, (L_in - L_out) // 2]
  
      return padding
  
imports: import math
  import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 4 for calling the Conv1d obj's underlying member method code with example usage: obj._get_padding_elem(L_in, stride, kernel_size, dilation) and returns: padding