code: def test_aten_core_operators(self):
      # If a decomposition isn't included in the core decompositions,
      # then it must decompose a core ATen operator.
      #
      # See NOTE [Core ATen Ops]
      #
      # If this test fails then either:
      # - Add the decomposition to torch._decomp.core_aten_decompositions,
      #   if decomposition should be used by inductor (not a core operator).
      # - Run this test again with EXPECTTEST_ACCEPT=1 to update the list of
      #   core ATen operators (and inductor will not use the decomposition).
  
      # Some decompositions are registered for CompositeImplicitAutograd
      # operators, which never appear in AOTAutograd's graph so are never used.
      useful_decomps = {
          op
          for op in decomposition_table.keys()
          if isinstance(op, torch._ops.OpOverload)
          and self._can_appear_in_trace(op)
      }
      core_decomps = torch._decomp.core_aten_decompositions().keys()
      core_aten_ops = useful_decomps - core_decomps
      self.assertExpected(
          "".join(sorted(op.name() + "\n" for op in core_aten_ops))
      )
  
imports: from collections import defaultdict
  from torch import Tensor
  import torch.autograd
  from torch._decomp import core_aten_decompositions, decomposition_table
  from torch.utils._python_dispatch import TorchDispatchMode
  from torch.utils._pytree import tree_map, tree_flatten, tree_unflatten
  from torch.utils import _pytree
  from torch.testing import make_tensor
  from torch.testing._internal.common_cuda import tf32_off
  from torch.testing._internal.common_utils import unMarkDynamoStrictTest
  from torch.testing._internal.common_utils import is_iterable_of_tensors, IS_WINDOWS, TestCase, skipIfCrossRef, suppress_warnings, TEST_WITH_ASAN, TEST_WITH_SLOW, run_tests, skipIfTorchDynamo
  from torch.testing._internal.common_modules import module_db, modules
  from torch.testing._internal.common_device_type import onlyNativeDeviceTypes, ops, instantiate_device_type_tests, onlyCPU, onlyCUDA
  from torch.testing._internal.common_methods_invocations import op_db, skip, skipOps, xfail
  from torch._dispatch.python import enable_python_dispatcher
  from torch._ops import DispatchKey
  import itertools
  import functools
  from functools import partial
  import unittest
label_desc: Use image node_id 4 for calling the HasDecompTest obj's underlying member method code with example usage: obj.test_aten_core_operators() without return types