code: def conv1x1(
      in_channels: int, out_channels: int, groups=1, bias=True
  ) -> nn.Conv2d:
      conv = nn.Conv2d(
          in_channels,
          out_channels,
          kernel_size=1,
          groups=groups,
          bias=bias,
      )
      if bias:
          torch.nn.init.zeros_(conv.bias)
      return conv
  
label_desc: Use image node_id 1 for calling a global function with example usage: conv1x1(in_channels, out_channels, groups, bias) and returns: conv