code: def test_full_loop_with_karras(self):
      sample = self.full_loop(use_karras_sigmas=True)
      result_mean = torch.mean(torch.abs(sample))
  
      assert abs(result_mean.item() - 0.2898) < 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 UniPCMultistepScheduler1DTest obj's underlying member method code with example usage: obj.test_full_loop_with_karras() without return types