Minor test change

tests/test_models.py

@@ -66,5 +66,5 @@ def test_model_default_cfgs(model_name, batch_size):
         input_size = tuple([min(x, 448) for x in input_size])
         outputs = model.forward_features(torch.randn((batch_size, *input_size)))
         assert outputs.shape[-1] == pool_size[-1] and outputs.shape[-2] == pool_size[-2]
-    assert any([k.startswith(cfg['classifier']) for k in state_dict.keys()]), f'{classifier} not in model params'
-    assert any([k.startswith(cfg['first_conv']) for k in state_dict.keys()]), f'{first_conv} not in model params'
+    assert any([k.startswith(classifier) for k in state_dict.keys()]), f'{classifier} not in model params'
+    assert any([k.startswith(first_conv) for k in state_dict.keys()]), f'{first_conv} not in model params'