What is the expected result of float64 div when divisor and dividend are the same?

[daisyden]

🐛 Describe the bug

When the two tensors are the same, what is the expected result? It is 1.0 or a number close to 1.0? This will lead to different result when apply trunc, lead to the UT failures.

FAILED test_ops_xpu.py::TestCommonXPU::test_python_ref__refs_div_trunc_rounding_xpu_float64 - Exception: Caused by reference input at index 16: SampleInput
FAILED test_ops_xpu.py::TestCommonXPU::test_python_ref_executor__refs_div_trunc_rounding_executor_aten_xpu_float64 - Exception: Caused by reference input at index 16: SampleInput
FAILED test_ops_xpu.py::TestCommonXPU::test_python_ref_torch_fallback__refs_div_trunc_rounding_xpu_float64 - Exception: Caused by reference input at index 16: SampleInput

(Pdb) f1=torch.tensor(-501., device='xpu:0', dtype=torch.float64)
(Pdb) e1=f1
(Pdb) torch.div(f1, e1, rounding_mode='trunc')
tensor(1., device='xpu:0', dtype=torch.float64)
(Pdb) torch.div(f1, e1)
tensor(0.9999999999999998889776975374843459576368331909179687500000000000,
device='xpu:0', dtype=torch.float64)
(Pdb) torch.trunc(torch.div(f1, e1))
tensor(0., device='xpu:0', dtype=torch.float64)

Versions

torch-xpu-ops 1209 nightly build.