Add files via upload

Author: nelaturuharsha

examples/image_classification_tutorial_boilerplate.ipynb

@@ -444,49 +444,6 @@
     "            "
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "colab": {},
-    "colab_type": "code",
-    "id": "oASN5m6Ibn9l",
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "images_so_far = 0\n",
-    "fig = plt.figure()\n",
-    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
-    "test_model = torch.load(model_name)\n",
-    "num_images = 1\n",
-    "test_model.eval()\n",
-    "test_loader = tqdm.tqdm(dataloaders[\"test\"])\n",
-    "\n",
-    "\n",
-    "images_so_far = 0\n",
-    "    fig = plt.figure()\n",
-    "\n",
-    "    for i, data in enumerate(dataloaders['val']):\n",
-    "        inputs, labels = data\n",
-    "        inputs, labels = Variable(inputs.cuda()), Variable(labels.cuda())\n",
-    "\n",
-    "        outputs = model(inputs)\n",
-    "        _, preds = torch.max(outputs.data, 1)\n",
-    "\n",
-    "        for j in range(inputs.size()[0]):\n",
-    "            images_so_far += 1\n",
-    "            ax = plt.subplot(num_images//2, 2, images_so_far)\n",
-    "            ax.axis('off')\n",
-    "            ax.set_title('predicted: {}'.format(class_names[preds[j]]))\n",
-    "            imshow(inputs.cpu().data[j])\n",
-    "\n",
-    "            if images_so_far == num_images:\n",
-    "                return\n",
-    "\n",
-    "print('Accuracy of the network on the test images: %d %%' % (100 * (correct_preds / total)))"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -497,7 +454,7 @@
     "    images_so_far = 0\n",
     "    fig = plt.figure()\n",
     "\n",
-    "    for inputs, labels in tqdm.tqdm(dataloaders['valid']):\n",
+    "    for inputs, labels in tqdm.tqdm(dataloaders['test']):\n",
     "        outputs = model(inputs)\n",
     "        _, preds = torch.max(outputs.data, 1)\n",
     "        for j in range(inputs.size()[0]):\n",