"
]
},
"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": "7502c0e3",
"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": 20,
"id": "240d2dac",
"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_50/checkpoints/epoch=46-step=16496.ckpt\n",
"LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n",
"Loaded model weights from checkpoint at logs/my-model/version_50/checkpoints/epoch=46-step=16496.ckpt\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "a4d7c534c423452b8e708c299b8bf066",
"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 │ 0.8450000286102295 │\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 0.8450000286102295 \u001b[0m\u001b[35m \u001b[0m│\n",
"└───────────────────────────┴───────────────────────────┘\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"[{'test_acc': 0.8450000286102295}]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"trainer.test(model=lightning_model, datamodule=data_module, ckpt_path='best')"
]
},
{
"cell_type": "markdown",
"id": "eeb4c934",
"metadata": {},
"source": [
"## Predicting labels of new data"
]
},
{
"cell_type": "markdown",
"id": "ea82acfa",
"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": 21,
"id": "eccf8e52",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"logs/my-model/version_50/checkpoints/epoch=46-step=16496.ckpt\n"
]
}
],
"source": [
"path = trainer.checkpoint_callback.best_model_path\n",
"print(path)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "b5d6cd26",
"metadata": {},
"outputs": [],
"source": [
"lightning_model = LightningModel.load_from_checkpoint(\n",
" path, model=pytorch_model)\n",
"lightning_model.eval();"
]
},
{
"cell_type": "markdown",
"id": "111c3664",
"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": 23,
"id": "a3193484",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"tensor([3, 8, 8, 0, 6])"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"test_dataloader = data_module.test_dataloader()\n",
"\n",
"all_true_labels = []\n",
"all_predicted_labels = []\n",
"\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": "385b0c41",
"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": 24,
"id": "c4e2a894",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Test accuracy: 0.8450 (84.50%)\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": "2838fbfc",
"metadata": {},
"source": [
"## Inspecting Failure Cases"
]
},
{
"cell_type": "markdown",
"id": "3a0c0419",
"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": 25,
"id": "972a0bba",
"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": 26,
"id": "32bfb7a5",
"metadata": {},
"outputs": [],
"source": [
"from helper_data import UnNormalize\n",
"from helper_plotting import show_examples"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "101cc3ed",
"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": 28,
"id": "e98c7232",
"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",
" \n",
" with torch.no_grad(): # since we don't need to backprop\n",
" pred = lightning_model(x)\n",
" cmat(pred, y)\n",
"\n",
"cmat_tensor = cmat.compute()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "4ddf6faa",
"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": "87597418",
"metadata": {},
"source": [
"## Single-image usage"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "e5a56b91",
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "19ddc131",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"id": "01a6534c",
"metadata": {},
"source": [
"- Assume we have a single image as shown below:"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "222562df",
"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": "82c76d9a",
"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": 33,
"id": "a8443741",
"metadata": {},
"outputs": [],
"source": [
"transform = data_module.train_transform\n",
"\n",
"image_chw = transform(image)"
]
},
{
"cell_type": "markdown",
"id": "2d8ca63d",
"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": 34,
"id": "73af9d4f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([3, 64, 64])\n"
]
}
],
"source": [
"print(image_chw.shape)"
]
},
{
"cell_type": "markdown",
"id": "3f118223",
"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": 35,
"id": "2c55a701",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch.Size([1, 3, 64, 64])\n"
]
}
],
"source": [
"image_nchw = image_chw.unsqueeze(0)\n",
"print(image_nchw.shape)"
]
},
{
"cell_type": "markdown",
"id": "7a0b819a",
"metadata": {},
"source": [
"- Now that we have the image in the right format, we can feed it to our classifier:"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "01860ec4",
"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": 37,
"id": "155bcdb2",
"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": 38,
"id": "35e8349d",
"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}%')"
]
}
],
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