code: def test_item_to_inputs_kernel_nobreak(self, device):
      lib = torch.library.Library("test", "DEF")
  
      try:
  
          @custom_ops.custom_op("test::foo")
          def foo(x: torch.Tensor, y: int) -> torch.Tensor:
              raise NotImplementedError()
  
          @custom_ops.impl("test::foo")
          def foo_impl(x: torch.Tensor, y: int) -> torch.Tensor:
              return x.clone()
  
          @torch.library.impl_abstract("test::foo", lib=lib)
          def foo_meta(x: torch.Tensor, y: int) -> torch.Tensor:
              return x.clone()
  
          @torch.compile(fullgraph=True)
          def f(x, r):
              y = x.item()
              return torch.ops.test.foo(r, y)
  
          f(
              torch.tensor([3], device=device),
              torch.randn(10, device=device),
          )
  
      finally:
          custom_ops._destroy("test::foo")
  
imports: import contextlib
  import importlib
  import math
  import os
  import sys
  import unittest
  from functools import partial
  import torch
  import torch._custom_ops
  import torch.library
  from torch._dynamo.testing import make_test_cls_with_patches
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, onlyCUDA
  from torch.testing._internal.common_utils import IS_CI, IS_WINDOWS, parametrize, TEST_WITH_ASAN, TEST_WITH_ROCM, TestCase
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
  from inductor.test_torchinductor import check_model, check_model_cuda, CommonTemplate, copy_tests, TestFailure
label_desc: Use image node_id 14 for calling the TestInductorDynamic obj's underlying member method code with example usage: obj.test_item_to_inputs_kernel_nobreak(device) and returns: x, x, torch