code: def register_buffer(self, name, attr):
      if type(attr) == torch.Tensor:
          if attr.device != torch.device("cuda"):
              attr = attr.to(torch.device("cuda"))
      setattr(self, name, attr)
  
file_path: ColossalAI/examples/images/diffusion/ldm/models/diffusion/plms.py
imports: import numpy
  import torch
  from ldm.models.diffusion.sampling_util import norm_thresholding
  from ldm.modules.diffusionmodules.util import make_ddim_sampling_parameters, make_ddim_timesteps, noise_like
  from tqdm import tqdm
label_desc: Use image node_id 2 for calling the PLMSSampler obj's underlying member method code with example usage: obj.register_buffer(name, attr) without return types