class_docstr: This class groups the batch normalization and PReLU activation
class_docstr_tok: ["This","class","groups","the","batch","normalization","and","PReLU","activation"]
code: def __init__(self, nOut):
      super().__init__()
      self.bn = nn.BatchNorm(nOut)
      self.act = nn.PReLU(nOut)
  
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 BR object from inherited base classes: nn with example: obj = BR(nOut)