code: def __init__(
      self,
      in_channels,
      out_channels,
      kernel_size,
      padding="same",
      **kwargs,
  ):
      super().__init__()
      self.depthwise_conv = layers.ConvBNReLU(
          in_channels,
          out_channels=in_channels,
          kernel_size=kernel_size,
          padding=padding,
          groups=in_channels,
          **kwargs,
      )
      self.piontwise_conv = layers.ConvBNReLU(
          in_channels,
          out_channels,
          kernel_size=1,
          groups=1,
          bias_attr=False,
      )
  
imports: from collections import OrderedDict
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  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, padding)