diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 942580ad04..2039d51b8c 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -132,7 +132,7 @@ jobs:
     - name: Install Dependencies
       run: pip install -e '.[gpu,testing]' --extra-index-url https://download.pytorch.org/whl/cpu
     - name: Run Optimizer Test
-      run: GPU=1 python test/external_test_opt.py
+      run: GPU=1 python test/external/external_test_opt.py
     - name: Run Pytest (default)
       run: GPU=1 python -m pytest -s -v -n=auto
 
diff --git a/test/models/test_onnx.py b/test/models/test_onnx.py
index 432795405e..68ea698bd0 100644
--- a/test/models/test_onnx.py
+++ b/test/models/test_onnx.py
@@ -102,9 +102,17 @@ class TestOnnxModel(unittest.TestCase):
     input_name, input_new = "images:0", True
     self._test_model(dat, input_name, input_new)
 
+  def test_shufflenet(self):
+    dat = fetch("https://github.com/onnx/models/raw/main/vision/classification/shufflenet/model/shufflenet-9.onnx")
+    print(f"shufflenet downloaded : {len(dat)/1e6:.2f} MB")
+    input_name, input_new = "gpu_0/data_0", False
+    self._test_model(dat, input_name, input_new)
+
+  @unittest.skip("test is very slow")
   def test_resnet(self):
     # NOTE: many onnx models can't be run right now due to max pool with strides != kernel_size
     dat = fetch("https://github.com/onnx/models/raw/main/vision/classification/resnet/model/resnet18-v2-7.onnx")
+    print(f"resnet downloaded : {len(dat)/1e6:.2f} MB")
     input_name, input_new = "data", False
     self._test_model(dat, input_name, input_new)
 
@@ -124,7 +132,7 @@ class TestOnnxModel(unittest.TestCase):
     assert _LABELS[cls] == "hen" or _LABELS[cls] == "cock"
     cls = run(car_img)
     print(cls, _LABELS[cls])
-    assert "car" in _LABELS[cls]
+    assert "car" in _LABELS[cls] or _LABELS[cls] == "convertible"
 
 if __name__ == "__main__":
   unittest.main()