code: def _conv(
      in_planes: int,
      out_planes: int,
      kernel_size: int = 3,
      stride: int = 1,
      padding: int = 1,
      bias: bool = True,
  ):
      return nn.Conv2d(
          in_planes,
          out_planes,
          kernel_size=kernel_size,
          stride=stride,
          padding=padding,
          bias=bias,
      )
  
imports: import math
  from functools import partial
  from typing import Callable, List, Optional, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from torch.nn.utils.parametrizations import spectral_norm
  from ._discriminator import Discriminator
label_desc: Use image node_id 4 for calling a global function with example usage: _conv(in_planes, out_planes, kernel_size, stride, padding, bias) and returns: nn