code: def __init__(self, in_channels, out_channels):
      super(ConvBnReLU2D, self).__init__(
          nn.Conv2D(in_channels, out_channels, 3, padding=1),
          nn.BatchNorm(out_channels),
          nn.ReLU(),
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
  from paddleseg.models.layers.layer_libs import SyncBatchNorm
  from paddleseg.cvlibs.param_init import kaiming_normal_init
label_desc: Use image node_id 1 to create a new ConvBnReLU2D object from inherited base classes: nn with example: obj = ConvBnReLU2D(in_channels, out_channels)