code: def test_fp16_support(self):
      scheduler_class = self.scheduler_classes[0]
      scheduler_config = self.get_scheduler_config(
          thresholding=True, dynamic_thresholding_ratio=0
      )
      scheduler = scheduler_class(**scheduler_config)
  
      num_inference_steps = 10
      model = self.dummy_model()
      sample = self.dummy_sample_deter.half()
      scheduler.set_timesteps(num_inference_steps)
  
      for i, t in enumerate(scheduler.timesteps):
          residual = model(sample, t)
          sample = scheduler.step(residual, t, sample).prev_sample
  
      assert sample.dtype == torch.float16
  
imports: import tempfile
  import torch
  from diffusers import DEISMultistepScheduler, DPMSolverMultistepScheduler, DPMSolverSinglestepScheduler, UniPCMultistepScheduler
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 17 for calling the UniPCMultistepSchedulerTest obj's underlying member method code with example usage: obj.test_fp16_support() without return types