code: def __init__(
      self,
      in_channels,
      out_channels,
      kernel_size,
      padding="same",
      **kwargs,
  ):
      super().__init__()
      self._conv = nn.Conv2D(
          in_channels,
          out_channels,
          kernel_size,
          padding=padding,
          **kwargs,
      )
      self._batch_norm = SyncBatchNorm(out_channels)
  
file_path: PaddleHub/modules/image/semantic_segmentation/FCN_HRNet_W18_Face_Seg/model/layers.py
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new ConvBN object from inherited base classes: nn with example: obj = ConvBN(in_channels, out_channels, kernel_size, padding)