added code for saving the state of runtime monitor during training an…

…d a sample code for loading the state of the monitor during deployment

MNIST_RuntimeMonitoring.ipynb

@@ -404,6 +404,47 @@
     "    print('Accuracy of the network on the all train images: {} %'.format(100 * correct / total))\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Save the state of run-time monitoring \n",
+    "\n",
+    "Following code saves the napmonitor for using it as runtime monitor in the deployment code."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pickle\n",
+    "\n",
+    "with open('napmonitor.pkl', 'wb') as output:\n",
+    "    pickle.dump(monitor, output, pickle.HIGHEST_PROTOCOL)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Load the state of run-time monitoring \n",
+    "Following code is a sample of how to load the monitor during deployment."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import pickle\n",
+    "\n",
+    "# with open('napmonitor.pkl', 'rb') as input:\n",
+    "#     monitor = pickle.load(input)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1193,7 +1234,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,