fix: it's starting to get frustrating

tests/test_models_interfaces.py

@@ -200,7 +200,7 @@ def backprop_test(frontend, model, data, target):
     grad = train_model(frontend, model, data, target)
     _, loss_trained = eval_model(frontend, model, data, target)
     assert grad < 1e-2
-    assert loss_untrained >= loss_trained
+    assert round(float(loss_untrained), 6) >= round(float(loss_trained), 6)
     # in some (unpredictable) cases the gradient and loss
     # start so small that the model doesn't do anything
     # fixing the seed doesn't fix this on all the platforms