"
]
},
"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": "6c6e49c2",
"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": "296f5525",
"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_56/checkpoints/epoch=89-step=15749.ckpt\n",
"LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n",
"Loaded model weights from checkpoint at logs/my-model/version_56/checkpoints/epoch=89-step=15749.ckpt\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3f52fb8ac7204cf5889d728c136e8de9",
"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 │ 0.6541000008583069 │\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 0.6541000008583069 \u001b[0m\u001b[35m \u001b[0m│\n",
"└───────────────────────────┴───────────────────────────┘\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[{'test_acc': 0.6541000008583069}]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trainer.test(model=lightning_model, datamodule=data_module, ckpt_path='best')"
]
},
{
"cell_type": "markdown",
"id": "60cca6ee",
"metadata": {},
"source": [
"## Predicting labels of new data"
]
},
{
"cell_type": "markdown",
"id": "8de228ef",
"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": "87669285",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"logs/my-model/version_56/checkpoints/epoch=89-step=15749.ckpt\n"
]
}
],
"source": [
"path = trainer.checkpoint_callback.best_model_path\n",
"print(path)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "521c99b6",
"metadata": {},
"outputs": [],
"source": [
"lightning_model = LightningModel.load_from_checkpoint(\n",
" path, model=pytorch_model)\n",
"lightning_model.eval();"
]
},
{
"cell_type": "markdown",
"id": "b7b9e53b",
"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": "6fc1adbb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tensor([3, 8, 0, 0, 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": "7f17f712",
"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": "9f3196da",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Test accuracy: 0.6541 (65.41%)\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": "4e35148b",
"metadata": {},
"source": [
"## Inspecting Failure Cases"
]
},
{
"cell_type": "markdown",
"id": "7dff75c6",
"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": "6a547ecf",
"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": "031f39ed",
"metadata": {},
"outputs": [],
"source": [
"from helper_data import UnNormalize\n",
"from helper_plotting import show_examples"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "22d2f0ad",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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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": "001f48b3",
"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": "a880946c",
"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": "c59d3078",
"metadata": {},
"source": [
"## Single-image usage"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "a7736b12",
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "cebdf862",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"id": "0725e801",
"metadata": {},
"source": [
"- Assume we have a single image as shown below:"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "0d36891a",
"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": "9ce5cb17",
"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": "a6d62b7b",
"metadata": {},
"outputs": [],
"source": [
"transform = data_module.train_transform\n",
"\n",
"image_chw = transform(image)"
]
},
{
"cell_type": "markdown",
"id": "c6df4bde",
"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": "f544b9f9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([3, 32, 32])\n"
]
}
],
"source": [
"print(image_chw.shape)"
]
},
{
"cell_type": "markdown",
"id": "6e3256eb",
"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": "0fbd273a",
"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": "35de85d3",
"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": "73e8af5c",
"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": "3703d4d5",
"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": "e49a1c72",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Predicted label: airplane\n",
"Class-membership probability 100.00%\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": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}