code: def test_inference_steps(self):
      for t, num_inference_steps in zip([1, 10, 50], [10, 50, 500]):
          self.check_over_forward(
              time_step=t, num_inference_steps=num_inference_steps
          )
  
imports: import torch
  from diffusers import DDIMScheduler
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 13 for calling the DDIMSchedulerTest obj's underlying member method code with example usage: obj.test_inference_steps() without return types