code: def full_loop(self, **config):
      scheduler_class = self.scheduler_classes[0]
      scheduler_config = self.get_scheduler_config(**config)
      scheduler = scheduler_class(**scheduler_config)
  
      num_inference_steps, eta = 10, 0.0
  
      model = self.dummy_model()
      sample = self.dummy_sample_deter
  
      scheduler.set_timesteps(num_inference_steps)
  
      for t in scheduler.timesteps:
          residual = model(sample, t)
          sample = scheduler.step(residual, t, sample, eta).prev_sample
  
      return sample
  
imports: import torch
  from diffusers import DDIMInverseScheduler
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 2 for calling the DDIMInverseSchedulerTest obj's underlying member method code with example usage: obj.full_loop() and returns: sample