code: def _clone_inputs(self, inputs):
      def clone(x):
          if not isinstance(x, torch.Tensor):
              return x
          return x.clone()
  
      return [clone(x) for x in inputs]
  
imports: import functools
  import itertools
  import math
  import torch
  import torch._inductor.config
  import torch.utils.checkpoint
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._dynamo.utils import counters
  from torch._inductor.utils import run_and_get_code
  from torch.testing._internal.common_cuda import PLATFORM_SUPPORTS_FUSED_ATTENTION, SM80OrLater
  from torch.testing._internal.common_utils import IS_LINUX, skipIfRocm
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
label_desc: Use image node_id 1 for calling the TestSDPAPatternRewriterTemplate obj's underlying member method code with example usage: obj._clone_inputs(inputs) and returns: unknown, x, x