code: def register_buffer(self, name, attr):
      if type(attr) == torch.Tensor:
          if attr.device != self.device:
              attr = attr.to(self.device)
      setattr(self, name, attr)
  
imports: import torch
  from .dpm_solver import NoiseScheduleVP, model_wrapper, DPM_Solver
label_desc: Use image node_id 2 for calling the DPMSolverSampler obj's underlying member method code with example usage: obj.register_buffer(name, attr) without return types