code: def __init__(self, out_channels, **kwargs):
      super().__init__()
      if "data_format" in kwargs:
          data_format = kwargs["data_format"]
      else:
          data_format = "NCHW"
      self._batch_norm = layers.SyncBatchNorm(
          out_channels, data_format=data_format
      )
      self._prelu = layers.Activation("prelu")
  
imports: import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg import utils
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models import layers
label_desc: Use image node_id 1 to create a new BNPReLU object from inherited base classes: nn with example: obj = BNPReLU(out_channels)