Update test for cait 448x448 model

tests/test_models.py

@@ -43,7 +43,9 @@ def test_model_forward(model_name, batch_size):
 
     input_size = model.default_cfg['input_size']
     if any([x > MAX_FWD_SIZE for x in input_size]):
-        # cap forward test at max res 448 * 448 to keep resource down
+        if is_model_default_key(model_name, 'fixed_input_size'):
+            pytest.skip("Fixed input size model > limit.")
+        # cap forward test at max res 384 * 384 to keep resource down
         input_size = tuple([min(x, MAX_FWD_SIZE) for x in input_size])
     inputs = torch.randn((batch_size, *input_size))
     outputs = model(inputs)