code: def conv_bn(
      inp,
      oup,
      stride,
      conv_layer=nn.Conv2d,
      norm_layer=nn.BatchNorm2d,
      nlin_layer=nn.ReLU,
  ):
      return nn.Sequential(
          conv_layer(inp, oup, 3, stride, 1, bias=False),
          norm_layer(oup),
          nlin_layer(inplace=True),
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 for calling a global function with example usage: conv_bn(inp, oup, stride, conv_layer, norm_layer, nlin_layer) and returns: nn