Correctness test implemented with old test architecture (#1511)

* correctness test implemented with old test architecture

* reverted an unneeded change, ran flake8

* moving to relative tolerance of 1 part in 10k for classification correctness checks

* going down to 1 part in 1000 for correctness checks bc architecture differences

* one percent relative tolerance

Author: fbbradheintz

test/expect/ModelTester.test_alexnet_expect.pkl

@@ -72,11 +72,13 @@ def check_script(self, model, name):
     def _test_classification_model(self, name, input_shape):
         # passing num_class equal to a number other than 1000 helps in making the test
         # more enforcing in nature
+        set_rng_seed(0)
         model = models.__dict__[name](num_classes=50)
         self.check_script(model, name)
         model.eval()
         x = torch.rand(input_shape)
         out = model(x)
+        self.assertExpected(out, rtol=1e-2, atol=0.)
         self.assertEqual(out.shape[-1], 50)
 
     def _test_segmentation_model(self, name):