code: def runAndSaveRNG(self, func, inputs, kwargs=None):
      kwargs = kwargs if kwargs else {}
      with freeze_rng_state():
          results = func(*inputs, **kwargs)
      return results
  
imports: import torch
  import torch.cuda
  import torch.jit
  import torch.jit._logging
  import torch.jit.frontend
  import torch.jit.quantized
  from torch.testing._internal.common_dtype import floating_and_complex_types_and
  from torch.testing._internal.common_utils import TestCase, freeze_rng_state, TemporaryFileName, enable_profiling_mode_for_profiling_tests, is_iterable_of_tensors
  from torch.testing._internal.common_utils import enable_profiling_mode
  from itertools import chain
  from typing import List, Union
  from torch._C import TensorType
  import io
label_desc: Use image node_id 4 for calling the JitCommonTestCase obj's underlying member method code with example usage: obj.runAndSaveRNG(func, inputs, kwargs) and returns: results