Revert D17112656: [pytorch][PR] fix bug in assertNotEqual for int ten…

…sors

Test Plan: revert-hammer

Differential Revision:
D17112656

Original commit changeset: 43e0e7da6d58

fbshipit-source-id: 0a0f7b8b125f24a45023ddb46fe144f21499b723

test/common_utils.py

@@ -731,9 +731,7 @@ def assertNotEqual(self, x, y, prec=None, message=''):
                 if diff.is_signed():
                     diff = diff.abs()
                 diff[nan_mask] = 0
-                # Use `item()` to work around:
-                # https://github.com/pytorch/pytorch/issues/22301
-                max_err = diff.max().item()
+                max_err = diff.max()
                 self.assertGreaterEqual(max_err, prec, message)
         elif type(x) == str and type(y) == str:
             super(TestCase, self).assertNotEqual(x, y)

test/test_torch.py

@@ -4919,11 +4919,6 @@ def test_random(self):
         self.assertEqual(t.min(), 0)
         self.assertEqual(t.max(), ub - 1)
 
-    def test_not_equal(self):
-        ones = torch.ones(10, dtype=torch.int)
-        self.assertRaisesRegex(AssertionError, "0 not greater than or equal to",
-                               lambda: self.assertNotEqual(ones, ones))
-
     @staticmethod
     def _test_random_neg_values(self, use_cuda=False):
         signed_types = ['torch.DoubleTensor', 'torch.FloatTensor', 'torch.LongTensor',