code: def test_switch(self):
      # make sure that iterating over schedulers with same config names gives same results
      # for defaults
      scheduler = UniPCMultistepScheduler(**self.get_scheduler_config())
      sample = self.full_loop(scheduler=scheduler)
      result_mean = torch.mean(torch.abs(sample))
  
      assert abs(result_mean.item() - 0.2464) < 1e-3
  
      scheduler = DPMSolverSinglestepScheduler.from_config(
          scheduler.config
      )
      scheduler = DEISMultistepScheduler.from_config(scheduler.config)
      scheduler = DPMSolverMultistepScheduler.from_config(
          scheduler.config
      )
      scheduler = UniPCMultistepScheduler.from_config(scheduler.config)
  
      sample = self.full_loop(scheduler=scheduler)
      result_mean = torch.mean(torch.abs(sample))
  
      assert abs(result_mean.item() - 0.2464) < 1e-3
  
imports: import tempfile
  import torch
  from diffusers import DEISMultistepScheduler, DPMSolverMultistepScheduler, DPMSolverSinglestepScheduler, UniPCMultistepScheduler
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 6 for calling the UniPCMultistepSchedulerTest obj's underlying member method code with example usage: obj.test_switch() without return types