code: def _manage_padding(
      self, x, kernel_size: int, dilation: int, stride: int
  ):
      L_in = x.shape[-1]  # Detecting input shape
      padding = self._get_padding_elem(
          L_in, stride, kernel_size, dilation
      )  # Time padding
      x = F.pad(
          x, padding, mode=self.padding_mode, data_format="NCL"
      )  # Applying padding
      return x
  
imports: import math
  import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 3 for calling the Conv1d obj's underlying member method code with example usage: obj._manage_padding(x, kernel_size, dilation, stride) and returns: x