code: def __init__(
      self,
      in_channels,
      out_channels,
      kernel_size=3,
      padding=1,
      conv_decay=0.0,
  ):
      super(SepConvLayer, self).__init__()
      self.dw_conv = nn.Conv2D(
          in_channels=in_channels,
          out_channels=in_channels,
          kernel_size=kernel_size,
          stride=1,
          padding=padding,
          groups=in_channels,
          weight_attr=ParamAttr(regularizer=L2Decay(conv_decay)),
          bias_attr=False,
      )
  
      self.bn = nn.BatchNorm2D(
          in_channels,
          weight_attr=ParamAttr(regularizer=L2Decay(0.0)),
          bias_attr=ParamAttr(regularizer=L2Decay(0.0)),
      )
  
      self.pw_conv = nn.Conv2D(
          in_channels=in_channels,
          out_channels=out_channels,
          kernel_size=1,
          stride=1,
          padding=0,
          weight_attr=ParamAttr(regularizer=L2Decay(conv_decay)),
          bias_attr=False,
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from paddle.regularizer import L2Decay
  from paddle import ParamAttr
  from ..layers import AnchorGeneratorSSD
  from ..cls_utils import _get_class_default_kwargs
label_desc: Use image node_id 1 to create a new SepConvLayer object from inherited base classes: nn with example: obj = SepConvLayer(in_channels, out_channels, kernel_size, padding, conv_decay)