code: def conv_bn(inp, oup, kernel, stride, pad=1, groups=1):
      return nn.Sequential(
          nn.Conv2d(
              inp, oup, kernel, stride, pad, groups=groups, bias=False
          ),
          nn.BatchNorm2d(oup),
          nn.ReLU(inplace=True),
      )
  
imports: from __future__ import absolute_import, division, print_function
  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, kernel, stride, pad, groups) and returns: nn