code: def __init__(
      self,
      in_channels,
      out_channels,
      kernel_size=1,
      padding="same",
      **kwargs,
  ):
      super().__init__()
  
      self.conv_bn_relu_1 = layers.ConvBNReLU(
          in_channels,
          out_channels=out_channels,
          kernel_size=kernel_size,
          padding=padding,
          **kwargs,
      )
  
      self.conv_bn_relu_2 = layers.ConvBNReLU(
          out_channels,
          out_channels=out_channels,
          kernel_size=1,
          padding=padding,
          **kwargs,
      )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.models import layers
  from paddleseg.utils import utils
  from paddleseg.cvlibs import manager, param_init
label_desc: Use image node_id 1 to create a new SpatialConvBNReLU object from inherited base classes: nn with example: obj = SpatialConvBNReLU(in_channels, out_channels, kernel_size, padding)