class_docstr: This class groups the batch normalization and PReLU activation
docstr: :param nOut: output feature maps
docstr_tok: [":","param","nOut",":","output","feature","maps"]
code: def __init__(self, nOut):
      """
      :param nOut: output feature maps
      """
      super().__init__()
      self.bn = nn.BatchNorm2d(nOut, eps=1e-03)
      self.act = nn.PReLU(nOut)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new BR object from inherited base classes: nn with example: obj = BR(nOut)