code: def test_composite_registered_to_cpu(self, mode):
      with autograd_fallback_mode(mode):
          lib = Library(self.test_ns, "FRAGMENT")
          lib.define("foo(Tensor self) -> Tensor")
          lib.impl("foo", lambda x: x.sin().sum(), "CPU")
          op = self.get_op("foo")
  
          x = torch.randn(3, requires_grad=True)
          y = op(x)
          with self._check_ctx(mode):
              y.backward()
              self.assertEqual(x.grad, x.cos())
  
imports: import contextlib
  import warnings
  import numpy
  import torch
  from torch.library import Library
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TestCase
label_desc: Use image node_id 9 for calling the TestAutogradFallback obj's underlying member method code with example usage: obj.test_composite_registered_to_cpu(mode) without return types