improve test robustness for Normalize (pytorch#1518)

Summary:
Pull Request resolved: pytorch#1518

see title. This bumps the tolerances. This was flaky locally.

Differential Revision: https://internalfb.com/D41482368

fbshipit-source-id: 42a0b90113af4943f83779fba92cda80eb359028

test/models/transforms/test_input.py

@@ -218,7 +218,7 @@ def test_normalize(self):
 
                 nlz.eval()
                 X_unnlzd = nlz.untransform(X_nlzd)
-                self.assertTrue(torch.allclose(X, X_unnlzd, atol=1e-4, rtol=1e-4))
+                self.assertTrue(torch.allclose(X, X_unnlzd, atol=1e-3, rtol=1e-3))
                 expected_bounds = torch.cat(
                     [X.min(dim=-2, keepdim=True)[0], X.max(dim=-2, keepdim=True)[0]],
                     dim=-2,