notebook example fix model url and adapt to inc api (#1519)

examples/notebook/tensorflow/vgg19_ibean/inc_quantize_vgg19.ipynb

@@ -161,7 +161,7 @@
    "outputs": [],
    "source": [
     "def build_model(w, h, class_num):\n",
-    "    url = 'https://tfhub.dev/deepmind/ganeval-cifar10-convnet/1'\n",
+    "    url = \"https://www.kaggle.com/models/deepmind/ganeval-cifar10-convnet/frameworks/TensorFlow1/variations/ganeval-cifar10-convnet/versions/1\"\n",
     "    feature_extractor_layer = hub.KerasLayer(url, input_shape = (w, h, 3))\n",
     "    feature_extractor_layer.trainable = False\n",
     "\n",
@@ -421,6 +421,8 @@
     "from neural_compressor.data import DataLoader\n",
     "from neural_compressor.quantization import fit\n",
     "from neural_compressor.config import PostTrainingQuantConfig, AccuracyCriterion\n",
+    "from neural_compressor import Metric\n",
+    "\n",
     "\n",
     "def auto_tune(input_graph_path, batch_size, int8_pb_file):\n",
     "    dataset = Dataset()\n",
@@ -434,11 +436,15 @@
     "      tolerable_loss=0.01  \n",
     "      )\n",
     "    )\n",
+    "\n",
+    "    top1 = Metric(name=\"topk\", k=1)\n",
+    "    \n",
     "    q_model = fit(\n",
     "        model=input_graph_path,\n",
     "        conf=config,\n",
     "        calib_dataloader=dataloader,\n",
-    "        eval_dataloader=dataloader\n",
+    "        eval_dataloader=dataloader,\n",
+    "        eval_metric=top1\n",
     "        )\n",
     "\n",
     "    return q_model\n",
@@ -588,6 +594,24 @@
     "}\n",
     "```"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e0fbd1da-2731-4398-a327-9908c87c8c5f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!which python "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae14f078-3414-45c5-bb98-b77eb33c0070",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -606,7 +630,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.15"
+   "version": "3.9.18"
   }
  },
  "nbformat": 4,