[release/2.7] Update test_binary_ufuncs.py after numpy upgrade (#2289)

Related to
c7a1e32
Fixes https://ontrack-internal.amd.com/browse/SWDEV-537835

Not a Navi specific failure:
```
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_device_type.py", line 1412, in only_fn
    return fn(slf, *args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/var/lib/jenkins/pytorch/test/test_binary_ufuncs.py", line 1671, in test_cuda_tensor_pow_scalar_tensor
    self._test_pow(base, exp)
  File "/var/lib/jenkins/pytorch/test/test_binary_ufuncs.py", line 1482, in _test_pow
    self.assertEqual(actual, expected)
  File "/opt/conda/envs/py_3.12/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 4052, in assertEqual
    raise error_metas.pop()[0].to_error(
AssertionError: The values for attribute 'dtype' do not match: torch.float32 != torch.float64.
```

Using .to(actual) without specifying dtype/device assumes actual is a
tensor or tensor-like, which may fail silently or promote. Fixed by
explicitly matching dtype and device. Going from
pytorch#107302
Fix:
```
root@ubb4-rack-22:/var/lib/jenkins/pytorch# TEST_CONFIG=default HIP_VISIBLE_DEVICES=0 PYTORCH_TEST_WITH_ROCM=1 python test/test_binary_ufuncs.py TestBinaryUfuncsCUDA.test_cuda_tensor_pow_scalar_tensor_cuda
/opt/conda/envs/py_3.12/lib/python3.12/site-packages/hypothesis/entry_points.py:23: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  import pkg_resources

Running tests...
----------------------------------------------------------------------
.
----------------------------------------------------------------------
Ran 1 test in 0.141s

OK

Generating XML reports...
root@ubb4-rack-22:/var/lib/jenkins/pytorch# pip list | grep numpy
numpy                   2.1.2

```

(cherry picked from commit a4d60fa)

Author: ethanwee1

test/test_binary_ufuncs.py

@@ -1447,7 +1447,7 @@ def to_np(value):
         try:
             np_res = np.power(to_np(base), to_np(np_exponent))
             expected = (
-                torch.from_numpy(np_res)
+                torch.from_numpy(np_res).to(dtype=base.dtype)
                 if isinstance(np_res, np.ndarray)
                 else torch.tensor(np_res, dtype=base.dtype)
             )