code: def __init__(
      self,
      nIn,
      nOut,
      kSize,
      stride,
      padding,
      dilation=(1, 1),
      groups=1,
      bn_acti=False,
      bias=False,
  ):
      super().__init__()
  
      self.bn_acti = bn_acti
  
      self.conv = nn.Conv2d(
          nIn,
          nOut,
          kernel_size=kSize,
          stride=stride,
          padding=padding,
          dilation=dilation,
          groups=groups,
          bias=bias,
      )
  
      if self.bn_acti:
          self.bn_prelu = BNPReLU(nOut)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Conv object from inherited base classes: nn with example: obj = Conv(nIn, nOut, kSize, stride, padding, dilation, groups, bn_acti, bias)