code: def __init__(self, out_channels, norm_layer=nn.BatchNorm2d, **kwargs):
      super(_BNPReLU, self).__init__()
      self.bn = norm_layer(out_channels)
      self.prelu = nn.PReLU(out_channels)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new _BNPReLU object from inherited base classes: nn with example: obj = _BNPReLU(out_channels, norm_layer)