Re-exclude keras_model.py again.

Actually, I don't like depending on test execution order. If
we ever parallelize tests this will be bad. Lets try
using exec. I think this will ensure the keras_model.py that
is local to the script runs each and every time.

examples/TensorFlow/Keras/IRIS/keras_to_MDF.py

@@ -11,6 +11,8 @@
 from modelspec.utils import _val_info
 from modeci_mdf.execution_engine import EvaluableGraph
 
+exec(open("./keras_model.py").read())
+
 # load the keras model
 model = tf.keras.models.load_model("keras_model_on_iris.keras")
 

examples/TensorFlow/Keras/MNIST/keras_to_MDF.py

@@ -7,6 +7,8 @@
 from modelspec.utils import _val_info
 from modeci_mdf.execution_engine import EvaluableGraph
 
+exec(open("./keras_model.py").read())
+
 # load the keras model
 model = tf.keras.models.load_model("kr_N_model.keras")
 

tests/test_examples.py

@@ -28,6 +28,7 @@
     ".reconstructed.py",
     "generate_json_and_scripts.py",
     "pytorch_ddm.py",
+    "keras_model.py",
 ]
 
 # Filter any excluded example scripts