code: def generate_cond(self, out_channels: int) -> None:
      if self.num_classes is None:
          self.cond = None
      else:
          self.cond = Conv2d(
              out_channels,
              self.num_classes,
              kernel_size=4,
              padding=1,
              stride=1,
          )
  
imports: import torch
  import torch.nn
  from typing import Any
  from typing import Dict
  from typing import List
  from typing import Type
  from typing import Optional
  from cftool.misc import WithRegister
  from ....losses.gan import DiscriminatorOutput
  from ....modules.blocks import get_conv_blocks
  from ....modules.blocks import Conv2d
label_desc: Use image node_id 2 for calling the DiscriminatorBase obj's underlying member method code with example usage: obj.generate_cond(out_channels) without return types