Merge branch 'fix_qonnx_import_in_notebook_0' of https://github.com/makoeppel/qonnx

Author: maltanar

notebooks/0_how_to_work_with_onnx.ipynb

@@ -68,26 +68,26 @@
     "    name='Add2',\n",
     ")\n",
     "\n",
-    "Add3_node = onnx.helper.make_node(\n",
-    "    'Add',\n",
-    "    inputs=['abs1', 'abs1'],\n",
-    "    outputs=['sum3'],\n",
-    "    name='Add3',\n",
-    ")\n",
-    "\n",
     "Abs_node = onnx.helper.make_node(\n",
     "    'Abs',\n",
     "    inputs=['sum2'],\n",
     "    outputs=['abs1'],\n",
     "    name='Abs'\n",
     ")\n",
     "\n",
+    "Add3_node = onnx.helper.make_node(\n",
+    "    'Add',\n",
+    "    inputs=['abs1', 'abs1'],\n",
+    "    outputs=['sum3'],\n",
+    "    name='Add3',\n",
+    ")\n",
+    "\n",
     "Round_node = onnx.helper.make_node(\n",
     "    'Round',\n",
     "    inputs=['sum3'],\n",
     "    outputs=['out1'],\n",
     "    name='Round',\n",
-    ")\n"
+    ")"
    ]
   },
   {
@@ -253,7 +253,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "in1_values =np.asarray(np.random.uniform(low=-5, high=5, size=(4,4)), dtype=np.float32)\n",
+    "in1_values = np.asarray(np.random.uniform(low=-5, high=5, size=(4,4)), dtype=np.float32)\n",
     "in2_values = np.asarray(np.random.uniform(low=-5, high=5, size=(4,4)), dtype=np.float32)\n",
     "in3_values = np.asarray(np.random.uniform(low=-5, high=5, size=(4,4)), dtype=np.float32)"
    ]
@@ -350,6 +350,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import qonnx\n",
     "from qonnx.core.modelwrapper import ModelWrapper\n",
     "finn_model = ModelWrapper(onnx_model)"
    ]