test_jit: Remove tests checking non-guaranteed properties from 'test_…

…insert_observers'. (#21657)

Summary:
Pull Request resolved: pytorch/pytorch#21657
ghimport-source-id: e9c7e45c00db55bf3b7895d06d77f0d99bfc1afe

Differential Revision: D15769295

Pulled By: ZolotukhinM

fbshipit-source-id: cfb40bc5d7116b1d99f5e0f5c4f5577f5aa33804

test/test_jit.py

@@ -839,21 +839,11 @@ def observe(x, name):
         m(x1, y1)
 
         # Check what we collected
-        self.assertTrue('x.1' in value_stats and 'y.1' in value_stats)
-        self.assertTrue('p.1' in value_stats and 'z.1' in value_stats)
         self.assertEqual(len(value_stats), 5)
-        self.assertEqual(len(value_stats['p.1']), 1)
-        self.assertEqual(len(value_stats['z.1']), 1)
-        self.assertEqual(value_stats['p.1'][0], x1 + y1)
-        self.assertEqual(value_stats['z.1'][0], x1 - y1)
 
         # Run one more time and check the updated statistics
         m(x2, y2)
-        self.assertTrue('x.1' in value_stats and 'y.1' in value_stats)
-        self.assertEqual(len(value_stats['p.1']), 2)
-        self.assertEqual(len(value_stats['z.1']), 2)
-        self.assertEqual(value_stats['p.1'][1], x2 + y2)
-        self.assertEqual(value_stats['z.1'][1], x2 - y2)
+        self.assertEqual(len(value_stats), 5)
 
     def test_insert_quantdequant_consecutive_qnodes_script(self):
         input_data = torch.ones([1, 1, 5, 5])