code: def run(self, case_names=None):
      if case_names is None:
          case_names = self.all_case.keys()
      for cn in case_names:
          assert (
              cn in self.all_case
          ), f"name: {cn}, Illegal case name to be tested"
          func, dtypes, ntest, nrepeat, rtol, atol = self.all_case[cn]
          for i in range(ntest):
              for dtype in dtypes:
                  self.dtype = dtype
                  print(
                      f">>>>>>>>>>>>>>>>>>>>>>{cn}, ntest [{i}], dtype [{dtype}], shape {self.bs_sl() + (self.hidden_dim,)}:"
                  )
                  custom, baseline = func()
                  if self._device_str != "cpu":
                      torch.cuda.synchronize(device=self.device)
                  self.test(custom, baseline, nrepeat, rtol, atol)
  
imports: import random
  import time
  from collections import OrderedDict
  import numpy
  import torch
label_desc: Use image node_id 26 for calling the TestDecorator obj's underlying member method code with example usage: obj.run(case_names) without return types