[AUTOGENERATED] [release/2.7] [release/2.6] Fix dtype before comparing torch and numpy tensors (#2362)

Cherry-pick of #2340

Co-authored-by: Dmitry Nikolaev <[email protected]>
(cherry picked from commit 22c98ea)
(cherry picked from commit 2d72fcd)

Author: 2 people

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).to(dtype=base.dtype)
+                torch.from_numpy(np_res)
                 if isinstance(np_res, np.ndarray)
                 else torch.tensor(np_res, dtype=base.dtype)
             )
@@ -1480,8 +1480,8 @@ def to_np(value):
                     self.assertRaisesRegex(RuntimeError, regex, base.pow_, exponent)
                 elif torch.can_cast(torch.result_type(base, exponent), base.dtype):
                     actual2 = actual.pow_(exponent)
-                    self.assertEqual(actual, expected)
-                    self.assertEqual(actual2, expected)
+                    self.assertEqual(actual, expected.to(actual))
+                    self.assertEqual(actual2, expected.to(actual))
                 else:
                     self.assertRaisesRegex(
                         RuntimeError,