code: def __init__(self, channels):
      super().__init__()
      self.bn = layers.SyncBatchNorm(channels)
      self.act = nn.PReLU(channels)
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new BNPReLU object from inherited base classes: nn with example: obj = BNPReLU(channels)