code: def test_full_loop_with_karras_and_v_prediction(self):
      sample = self.full_loop(
          prediction_type="v_prediction", use_karras_sigmas=True
      )
      result_mean = torch.mean(torch.abs(sample))
  
      assert abs(result_mean.item() - 0.1944) < 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 8 for calling the UniPCMultistepScheduler1DTest obj's underlying member method code with example usage: obj.test_full_loop_with_karras_and_v_prediction() without return types