code: def make_conv(
      in_channels: int,
      out_channels: int,
      kernel_size: int,
      stride: int = 1,
  ) -> nn.Conv2d:
      return nn.Conv2d(
          in_channels,
          out_channels,
          kernel_size=kernel_size,
          stride=stride,
          padding=kernel_size // 2,
      )
  
imports: from typing import Optional, Tuple
  import torch
  import torch.nn
  from torch import Tensor
label_desc: Use image node_id 1 for calling a global function with example usage: make_conv(in_channels, out_channels, kernel_size, stride) and returns: nn