code: def __init__(self, inp, oup, kernel, stride):
      super(ConvDw, self).__init__()
      self.conv = nn.Sequential(
          nn.Conv2D(
              inp,
              inp,
              kernel,
              stride,
              (kernel - 1) // 2,
              groups=inp,
              bias_attr=False,
          ),
          nn.BatchNorm2D(num_features=inp, epsilon=1e-05, momentum=0.1),
          nn.ReLU(),
          nn.Conv2D(inp, oup, 1, 1, 0, bias_attr=False),
          nn.BatchNorm2D(num_features=oup, epsilon=1e-05, momentum=0.1),
          nn.ReLU(),
      )
  
imports: import paddle.nn
  from paddleseg import utils
  from paddleseg.cvlibs import manager
label_desc: Use image node_id 1 to create a new ConvDw object from inherited base classes: nn with example: obj = ConvDw(inp, oup, kernel, stride)