"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"\n",
"\n",
"metrics = pd.read_csv(f\"{trainer.logger.log_dir}/metrics.csv\")\n",
"\n",
"aggreg_metrics = []\n",
"agg_col = \"epoch\"\n",
"for i, dfg in metrics.groupby(agg_col):\n",
" agg = dict(dfg.mean())\n",
" agg[agg_col] = i\n",
" aggreg_metrics.append(agg)\n",
"\n",
"df_metrics = pd.DataFrame(aggreg_metrics)\n",
"df_metrics[[\"train_loss\", \"valid_loss\"]].plot(\n",
" grid=True, legend=True, xlabel='Epoch', ylabel='Loss')\n",
"df_metrics[[\"train_acc\", \"valid_acc\"]].plot(\n",
" grid=True, legend=True, xlabel='Epoch', ylabel='ACC')"
]
},
{
"cell_type": "markdown",
"id": "c30e1fbe",
"metadata": {},
"source": [
"- The `trainer` automatically saves the model with the best validation accuracy automatically for us, we which we can load from the checkpoint via the `ckpt_path='best'` argument; below we use the `trainer` instance to evaluate the best model on the test set:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "5fce019d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Files already downloaded and verified\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Restoring states from the checkpoint path at logs/my-model/version_66/checkpoints/epoch=19-step=3499.ckpt\n",
"LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n",
"Loaded model weights from checkpoint at logs/my-model/version_66/checkpoints/epoch=19-step=3499.ckpt\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c0f993950a8949c3ab73fa931368e15d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Testing: 0it [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃ Test metric ┃ DataLoader 0 ┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│ test_acc │ 0.7236999869346619 │\n",
"└───────────────────────────┴───────────────────────────┘\n",
"\n"
],
"text/plain": [
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
"│\u001b[36m \u001b[0m\u001b[36m test_acc \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.7236999869346619 \u001b[0m\u001b[35m \u001b[0m│\n",
"└───────────────────────────┴───────────────────────────┘\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[{'test_acc': 0.7236999869346619}]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trainer.test(model=lightning_model, datamodule=data_module, ckpt_path='best')"
]
},
{
"cell_type": "markdown",
"id": "0328722e",
"metadata": {},
"source": [
"## Predicting labels of new data"
]
},
{
"cell_type": "markdown",
"id": "1f393936",
"metadata": {},
"source": [
"- You can use the `trainer.predict` method on a new `DataLoader` or `DataModule` to apply the model to new data.\n",
"- Alternatively, you can also manually load the best model from a checkpoint as shown below:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "ac3cda9a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"logs/my-model/version_66/checkpoints/epoch=19-step=3499.ckpt\n"
]
}
],
"source": [
"path = trainer.checkpoint_callback.best_model_path\n",
"print(path)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "f262b172",
"metadata": {},
"outputs": [],
"source": [
"lightning_model = LightningModel.load_from_checkpoint(\n",
" path, model=pytorch_model)\n",
"lightning_model.eval();"
]
},
{
"cell_type": "markdown",
"id": "1fb6be44",
"metadata": {},
"source": [
"- Note that our PyTorch model, which is passed to the Lightning model requires input arguments. However, this is automatically being taken care of since we used `self.save_hyperparameters()` in our PyTorch model's `__init__` method.\n",
"- Now, below is an example applying the model manually. Here, pretend that the `test_dataloader` is a new data loader."
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "ef0dd717",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tensor([3, 8, 8, 8, 6])"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_dataloader = data_module.test_dataloader()\n",
"\n",
"all_true_labels = []\n",
"all_predicted_labels = []\n",
"for batch in test_dataloader:\n",
" features, labels = batch\n",
" \n",
" with torch.no_grad():\n",
" logits = lightning_model(features)\n",
"\n",
" predicted_labels = torch.argmax(logits, dim=1)\n",
" all_predicted_labels.append(predicted_labels)\n",
" all_true_labels.append(labels)\n",
" \n",
"all_predicted_labels = torch.cat(all_predicted_labels)\n",
"all_true_labels = torch.cat(all_true_labels)\n",
"all_predicted_labels[:5]"
]
},
{
"cell_type": "markdown",
"id": "3660caa3",
"metadata": {},
"source": [
"Just as an internal check, if the model was loaded correctly, the test accuracy below should be identical to the test accuracy we saw earlier in the previous section."
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "37ecd40d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Test accuracy: 0.7237 (72.37%)\n"
]
}
],
"source": [
"test_acc = torch.mean((all_predicted_labels == all_true_labels).float())\n",
"print(f'Test accuracy: {test_acc:.4f} ({test_acc*100:.2f}%)')"
]
},
{
"cell_type": "markdown",
"id": "9e941553",
"metadata": {},
"source": [
"## Inspecting Failure Cases"
]
},
{
"cell_type": "markdown",
"id": "dfeeb9b0",
"metadata": {},
"source": [
"- In practice, it is often informative to look at failure cases like wrong predictions for particular training instances as it can give us some insights into the model behavior and dataset.\n",
"- Inspecting failure cases can sometimes reveal interesting patterns and even highlight dataset and labeling issues."
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "3b5bd329",
"metadata": {},
"outputs": [],
"source": [
"# Append the folder that contains the \n",
"# helper_data.py, helper_plotting.py, and helper_evaluate.py\n",
"# files so we can import from them\n",
"\n",
"import sys\n",
"sys.path.append('../pytorch_ipynb')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "17f24da8",
"metadata": {},
"outputs": [],
"source": [
"from helper_data import UnNormalize\n",
"from helper_plotting import show_examples"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "ad0c897e",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"class_dict = {0: 'airplane',\n",
" 1: 'automobile',\n",
" 2: 'bird',\n",
" 3: 'cat',\n",
" 4: 'deer',\n",
" 5: 'dog',\n",
" 6: 'frog',\n",
" 7: 'horse',\n",
" 8: 'ship',\n",
" 9: 'truck'}\n",
"\n",
"# We normalized each channel during training; here \n",
"# we are reverting the normalization so that we \n",
"# can plot them as images\n",
"unnormalizer = UnNormalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))\n",
"\n",
"show_examples(\n",
" model=lightning_model,\n",
" data_loader=test_dataloader,\n",
" unnormalizer=unnormalizer,\n",
" class_dict=class_dict)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "6313daf9",
"metadata": {},
"outputs": [],
"source": [
"from torchmetrics import ConfusionMatrix\n",
"\n",
"\n",
"cmat = ConfusionMatrix(num_classes=len(class_dict))\n",
"\n",
"for x, y in test_dataloader:\n",
" pred = lightning_model(x)\n",
" cmat(pred, y)\n",
"\n",
"cmat_tensor = cmat.compute()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "e5e75157",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from helper_plotting import plot_confusion_matrix\n",
"\n",
"\n",
"plot_confusion_matrix(\n",
" cmat_tensor.numpy(),\n",
" class_names=class_dict.values())\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "98ffa685",
"metadata": {},
"source": [
"## Single-image usage"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "e2cc71a3",
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "dc77205d",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"id": "33b00bfa",
"metadata": {},
"source": [
"- Assume we have a single image as shown below:"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "1e4b4ee7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from PIL import Image\n",
"\n",
"\n",
"image = Image.open('data/cifar10_pngs/90_airplane.png')\n",
"plt.imshow(image, cmap='Greys')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "28df1155",
"metadata": {},
"source": [
"- Note that we have to use the same image transformation that we used earlier in the `DataModule`. \n",
"- While we didn't apply any image augmentation, we could use the `to_tensor` function from the torchvision library; however, as a general template that provides flexibility for more complex transformation chains, let's use the `Compose` class for this:"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "f30a06f5",
"metadata": {},
"outputs": [],
"source": [
"transform = data_module.train_transform\n",
"\n",
"image_chw = transform(image)"
]
},
{
"cell_type": "markdown",
"id": "ebb7a5c5",
"metadata": {},
"source": [
"- Note that `ToTensor` returns the image in the CHW format. CHW refers to the dimensions and stands for channel, height, and width."
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "1b30aa16",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([3, 32, 32])\n"
]
}
],
"source": [
"print(image_chw.shape)"
]
},
{
"cell_type": "markdown",
"id": "dec27e3a",
"metadata": {},
"source": [
"- However, the PyTorch / PyTorch Lightning model expectes images in NCHW format, where N stands for the number of images (e.g., in a batch).\n",
"- We can add the additional channel dimension via `unsqueeze` as shown below:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "2f90f50b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([1, 3, 32, 32])\n"
]
}
],
"source": [
"image_nchw = image_chw.unsqueeze(0)\n",
"print(image_nchw.shape)"
]
},
{
"cell_type": "markdown",
"id": "671f3d2c",
"metadata": {},
"source": [
"- Now that we have the image in the right format, we can feed it to our classifier:"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "8a75a440",
"metadata": {},
"outputs": [],
"source": [
"with torch.no_grad(): # since we don't need to backprop\n",
" logits = lightning_model(image_nchw)\n",
" probas = torch.softmax(logits, axis=1)\n",
" predicted_label = torch.argmax(probas)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "a3dbeda1",
"metadata": {},
"outputs": [],
"source": [
"int_to_str = {\n",
" 0: 'airplane',\n",
" 1: 'automobile',\n",
" 2: 'bird',\n",
" 3: 'cat',\n",
" 4: 'deer',\n",
" 5: 'dog',\n",
" 6: 'frog',\n",
" 7: 'horse',\n",
" 8: 'ship',\n",
" 9: 'truck'}"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "f0918be3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predicted label: airplane\n",
"Class-membership probability 99.54%\n"
]
}
],
"source": [
"print(f'Predicted label: {int_to_str[predicted_label.item()]}')\n",
"print(f'Class-membership probability {probas[0][predicted_label]*100:.2f}%')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
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