Created prototype for unittesting ONNX

testing/test_onnx.py

@@ -0,0 +1,64 @@
+#
+#   This file is part of do-mpc
+#
+#   do-mpc: An environment for the easy, modular and efficient implementation of
+#        robust nonlinear model predictive control
+#
+#   Copyright (c) 2014-2019 Sergio Lucia, Alexandru Tatulea-Codrean
+#                        TU Dortmund. All rights reserved
+#
+#   do-mpc is free software: you can redistribute it and/or modify
+#   it under the terms of the GNU Lesser General Public License as
+#   published by the Free Software Foundation, either version 3
+#   of the License, or (at your option) any later version.
+#
+#   do-mpc is distributed in the hope that it will be useful,
+#   but WITHOUT ANY WARRANTY; without even the implied warranty of
+#   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#   GNU Lesser General Public License for more details.
+#
+#   You should have received a copy of the GNU General Public License
+#   along with do-mpc.  If not, see <http://www.gnu.org/licenses/>.
+
+import numpy as np
+import matplotlib.pyplot as plt
+from casadi import *
+from casadi.tools import *
+import pdb
+import sys
+import unittest
+import pickle
+
+from importlib import reload
+import copy
+
+do_mpc_path = '../'
+if not do_mpc_path in sys.path:
+    sys.path.append('../')
+
+import do_mpc
+
+
+
+
+class TestONNX(unittest.TestCase):
+    def setUp(self):
+        """Add path of test case and import the modules.
+        If this test isn't the first to run, the modules need to be reloaded.
+        Reset path afterwards.
+        """
+        pass
+
+    def test_ONNX1(self):
+        print('Testing ONNX1 model')
+        # Load first onnx model
+        # onnx = 
+
+        self.assertTrue(True)
+
+
+
+
+
+if __name__ == '__main__':
+    unittest.main()