code: def make_conv_bn_relu(
      in_channels,
      out_channels,
      kernel_size=3,
      stride=1,
      padding=1,
      groups=1,
  ):
      return [
          nn.Conv2d(
              in_channels,
              out_channels,
              kernel_size=kernel_size,
              stride=stride,
              padding=padding,
              groups=groups,
              bias=False,
          ),
          nn.BatchNorm2d(out_channels),
          nn.ReLU(inplace=True),
      ]
  
imports: import os
  import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 for calling a global function with example usage: make_conv_bn_relu(in_channels, out_channels, kernel_size, stride, padding, groups) and returns: list