code: def __init__(self, in_channels, out_channels, kernel_size, **kwargs):
      super().__init__()
      self.depthwise_conv = _ConvBN(
          in_channels,
          out_channels=in_channels,
          kernel_size=kernel_size,
          padding=int(kernel_size / 2),
          groups=in_channels,
          **kwargs,
      )
      self.piontwise_conv = _ConvBNReLU(
          in_channels,
          out_channels,
          kernel_size=1,
          groups=1,
          stride=1,
          padding=0,
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new _SeparableConvBNReLU object from inherited base classes: nn with example: obj = _SeparableConvBNReLU(in_channels, out_channels, kernel_size)