Run test reshape separately

.github/workflows/cpu-ci.yml

@@ -54,7 +54,13 @@ jobs:
     - name: Test with pytest
       env:
         ORT_RELEASE: ${{ github.workspace }}/onnxruntime-daceml-patched
-        PYTEST_ARGS: --cov=daceml --cov-report=term --cov-report xml --cov-config=.coveragerc -m "not slow and not fpga and not gpu"
+        PYTEST_ARGS: --cov=daceml --cov-report=term --cov-report xml --cov-config=.coveragerc -m "not slow and not fpga and not gpu and not seq"
+      run: make test
+
+    - name: Seq Test with pytest
+      env:
+        ORT_RELEASE: ${{ github.workspace }}/onnxruntime-daceml-patched
+        PYTEST_ARGS: --cov=daceml --cov-report=term --cov-report xml --cov-config=.coveragerc -m "not slow and not fpga and not gpu and seq"
       run: make test
 
     - name: Test with doctest

pytest.ini

@@ -5,3 +5,4 @@ markers =
     ort: marks tests that test onnxruntime ops (and sets the default implementation before executing that test)
     gpu: marks tests that should only run when --gpu or --gpu-only are passed
     fpga: marks tests for FPGA (deselect with '-m "not fpga"')
+    seq: mark tests that should run in a separate action

tests/transformation/test_reshape_elimination.py

@@ -20,12 +20,13 @@ def forward(self, x):
         return F.relu(x)
 
 
+@pytest.mark.seq
 @pytest.mark.pure
 def test_reshape_elimination(sdfg_name):
 
     ptmodel = Model()
     x = torch.rand((100, 6, 12, 12))
-    dace_model = DaceModule(ptmodel, auto_optimize=False, sdfg_name=sdfg_name, cuda=False)
+    dace_model = DaceModule(ptmodel, auto_optimize=False, sdfg_name=sdfg_name)
 
     def ApplyReshapeElimination(dace_module):
         sdfg = dace_module.sdfg