code: def add_circular_option_to_conv_2d():
      conv2d_constructor = torch.nn.Conv2d.__init__
  
      def conv2d_constructor_circular(self, *args, **kwargs):
          return conv2d_constructor(
              self, *args, padding_mode="circular", **kwargs
          )
  
      torch.nn.Conv2d.__init__ = conv2d_constructor_circular
  
imports: import torch
  from torch.nn.functional import silu
  from types import MethodType
  from modules import devices, sd_hijack_optimizations, shared, script_callbacks, errors, sd_unet, patches
  from modules.hypernetworks import hypernetwork
  from modules.shared import cmd_opts
  from modules import sd_hijack_clip, sd_hijack_open_clip, sd_hijack_unet, sd_hijack_xlmr, xlmr, xlmr_m18
  import ldm.modules.attention
  import ldm.modules.diffusionmodules.model
  import ldm.modules.diffusionmodules.openaimodel
  import ldm.models.diffusion.ddpm
  import ldm.models.diffusion.ddim
  import ldm.models.diffusion.plms
  import ldm.modules.encoders.modules
  import sgm.modules.attention
  import sgm.modules.diffusionmodules.model
  import sgm.modules.diffusionmodules.openaimodel
  import sgm.modules.encoders.modules
label_desc: Use image node_id 9 for calling a global function with example usage: add_circular_option_to_conv_2d() and returns: conv2d_constructor