[Bug Skip]: AssertionError: Tensor-likes are not close! in test_modules_xpu.py

🐛 Describe the bug with skip template

This is a random issue. Out of 13 runs, it reproduced twice: first at the 6th run, and the second at the 13th run.

Cases:
op_ut,third_party.torch-xpu-ops.test.xpu.test_modules_xpu.TestModuleXPU,test_non_contiguous_tensors_nn_LazyConv3d_xpu_float32

______ TestModuleXPU.test_cpu_gpu_parity_nn_ConvTranspose1d_xpu_complex32 ______
[gw0] linux -- Python 3.10.20 /__w/torch-xpu-ops/torch-xpu-ops/.venv/bin/python
Unexpected success
----------------------------- Captured stderr call -----------------------------
/__w/torch-xpu-ops/torch-xpu-ops/.venv/lib/python3.10/site-packages/torch/testing/_creation.py:240: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /localdisk/home/jenkins/actions-runner/_work/torch-xpu-ops/torch-xpu-ops/pytorch/aten/src/ATen/EmptyTensor.cpp:54.)
  result = torch.empty(shape, device=device, dtype=dtype)
_____ TestModuleXPU.test_non_contiguous_tensors_nn_LazyConv3d_xpu_float32 ______
[gw4] linux -- Python 3.10.20 /__w/torch-xpu-ops/torch-xpu-ops/.venv/bin/python
Traceback (most recent call last):
  File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/../../../../test/test_modules.py", line 442, in test_non_contiguous_tensors
    self.assertEqual(param_grad, default_param_grad)
  File "/__w/torch-xpu-ops/torch-xpu-ops/.venv/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4879, in assertEqual
    raise error_metas.pop()[0].to_error(  # type: ignore[index]
AssertionError: Tensor-likes are not close!

Versions

Pytorch:
b5540e0ee69e8c2c170b3a65c913411b7a7cc0a9

Start with test_modules.py at line 442 and the TestModuleXPU.test_non_contiguous_tensors_nn_LazyConv3d_xpu_float32 case named in the report. Run the case repeatedly to investigate the intermittent Tensor-likes-are-not-close failure and compare the parameter gradients involved; done means the cause is understood and the test no longer fails nondeterministically.