1. 1. 1. 🐛 Describe the bug

```python
import torch

def model_func(self, other):
out = torch.ops.aten.copysign(self, other=other,)
return out

input_config =

compiled_eager = torch.compile(model_func, backend="eager")
out1 = compiled_eager(**input_config)
compiled_inductor = torch.compile(model_func, backend="inductor", )
out_inductor = compiled_inductor(**input_config)
torch.testing.assert_close(out1, out_inductor)
```

1. 1. 1. Error logs

```
Traceback (most recent call last):
File "/data/bug.py", line 26, in <module>
torch.testing.assert_close(out1, out_inductor)
File "/data/software/pytorch/torch/testing/_comparison.py", line 1600, in assert_close
raise error_metas[0].to_error(msg)
AssertionError: Tensor-likes are not close!

Mismatched elements: 6 / 6 (100.0%)
Greatest absolute difference: 3.495041608810425 at index (5,) (up to 1e-05 allowed)
Greatest relative difference: 2.0 at index (0,) (up to 1.3e-06 allowed)
```

1. 1. 1. Versions

```
Versions of relevant libraries:
[pip3] intel-cmplr-lib-ur==2025.3.1
[pip3] intel-openmp==2025.3.1
[pip3] mkl-include==2025.3.0
[pip3] mkl-static==2025.3.0
[pip3] numpy==2.4.0
[pip3] onemkl-license==2025.3.0
[pip3] optree==0.18.0
[pip3] tbb==2022.3.0
[pip3] tbb-devel==2022.3.0
[pip3] tcmlib==1.4.1
[pip3] torch==2.11.0a0+gitdac4f45
[pip3] triton==3.6.0+git9844da95
[pip3] umf==1.0.2
[conda] intel-cmplr-lib-ur 2025.3.1 pypi_0 pypi
[conda] intel-openmp 2025.3.1 pypi_0 pypi
[conda] mkl-include 2025.3.0 pypi_0 pypi
[conda] mkl-static 2025.3.0 pypi_0 pypi
[conda] numpy 2.4.0 pypi_0 pypi
[conda] onemkl-license 2025.3.0 pypi_0 pypi
[conda] optree 0.18.0 pypi_0 pypi
[conda] tbb 2022.3.0 pypi_0 pypi
[conda] tbb-devel 2022.3.0 pypi_0 pypi
[conda] tcmlib 1.4.1 pypi_0 pypi
[conda] torch 2.11.0a0+gitdac4f45 pypi_0 pypi
[conda] triton 3.6.0+git9844da95 pypi_0 pypi
[conda] umf 1.0.2 pypi_0 pypi
```

cc @ezyang @gchanan @kadeng @msaroufim @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @muchulee8 @amjames @aakhundov @coconutruben @jataylo