code: def conv(
      in_channels, out_channels, kernel_size=3, stride=1, bias=False
  ):
      return nn.Conv2d(
          in_channels,
          out_channels,
          kernel_size=kernel_size,
          stride=stride,
          padding=(kernel_size - 1) // 2,
          bias=bias,
      )
  
imports: import logging
  from enum import Enum
  import torch
  import torch.nn
  import torch.nn.functional
  from vissl.config import AttrDict
  from vissl.models.trunks import register_model_trunk
label_desc: Use image node_id 1 for calling a global function with example usage: conv(in_channels, out_channels, kernel_size, stride, bias) and returns: nn