Update output of notebooks/influence_imagenet

Author: schroedk

notebooks/influence_imagenet.ipynb

@@ -276,7 +276,15 @@
      "hide-output"
     ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cached model found, loading...\n"
+     ]
+    }
+   ],
    "source": [
     "model_ft = new_resnet_model(output_size=len(label_names))\n",
     "mgr = TrainingManager(\n",
@@ -398,7 +406,36 @@
      "hide-output"
     ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "56845c326e4a42568b3015d2515146bc",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Batch Test Gradients:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f2e0028727ce4a0d804e03363dcac10f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Batch Split Input Gradients:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "influences = compute_influences(\n",
     "    TorchTwiceDifferentiable(mgr.model, mgr.loss),\n",
@@ -691,7 +728,15 @@
      "hide-output"
     ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cached model found, loading...\n"
+     ]
+    }
+   ],
    "source": [
     "corrupted_model = new_resnet_model(output_size=len(label_names))\n",
     "corrupted_dataset, corrupted_indices = corrupt_imagenet(\n",
@@ -792,7 +837,36 @@
      "hide-output"
     ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0afacee322994491a310c3a2f6e5ffa0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Batch Test Gradients:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "6b7fd714da8c4e16abf6bbeffae4f0b0",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Batch Split Input Gradients:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "influences = compute_influences(\n",
     "    TorchTwiceDifferentiable(mgr.model, mgr.loss),\n",