code: def register_buffer(self, name, attr):
      if type(attr) == torch.Tensor:
          if attr.device != devices.device:
              attr = attr.to(devices.device)
      setattr(self, name, attr)
  
file_path: stable-diffusion-webui/modules/models/diffusion/uni_pc/sampler.py
imports: import torch
  from .uni_pc import NoiseScheduleVP, model_wrapper, UniPC
  from modules import shared, devices
label_desc: Use image node_id 2 for calling the UniPCSampler obj's underlying member method code with example usage: obj.register_buffer(name, attr) without return types