code: def test_timesteps(self):
      for timesteps in [10, 50, 100, 1000]:
          self.check_over_configs(num_train_timesteps=timesteps)
  
file_path: llmga/llmga/diffusers/tests/schedulers/test_scheduler_heun.py
imports: import torch
  from diffusers import HeunDiscreteScheduler
  from diffusers.utils.testing_utils import torch_device
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 2 for calling the HeunDiscreteSchedulerTest obj's underlying member method code with example usage: obj.test_timesteps() without return types