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| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/qbeer/74d064ee596744ff4e9c9716922f471b/hw11_no_code.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "315DLxAdHjPC" | |
| }, | |
| "source": [ | |
| "## 1. Load the CIFAR 10 dataset from the `torchvision` API and train a `LogisticRegression` model on the dataset and predict all test outcomes with the `sklearn` API\n", | |
| "\n", | |
| "* Create an image grid visualization of randomly selected images (9, 16) with labels.\n", | |
| "* Preprocess the dataset for `sklearn`, scale [0-1], and also flatten each example to a vector.\n", | |
| "* Use the `multi_class='multinomial'` option, describe what it means.\n", | |
| "* Plot the ROC curves and AUC scores on the same figure.\n", | |
| "* Calculate the accuracy of the classifier on the test set.\n", | |
| "\n", | |
| "* Make your life easier - time is precious - and run all the algorithms with multiprocessing.\n", | |
| "\n", | |
| "Hint:\n", | |
| "\n", | |
| "* `from sklearn.preprocessing import LabelBinarizer` might be useful for you." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "X1eGXiD1HiYo" | |
| }, | |
| "source": [ | |
| "from sklearn.linear_model import LogisticRegression\n", | |
| "from sklearn.metrics import roc_curve, auc, accuracy_score\n", | |
| "from sklearn.preprocessing import LabelBinarizer, StandardScaler\n", | |
| "from sklearn.ensemble import RandomForestClassifier\n", | |
| "from sklearn.neural_network import MLPClassifier\n", | |
| "from torchvision.datasets import CIFAR10\n", | |
| "from torchvision.transforms import ToTensor\n", | |
| "from torch.utils.data import DataLoader\n", | |
| "import numpy as np\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "from multiprocessing import Pool\n", | |
| "import time" | |
| ], | |
| "execution_count": 2, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# Load CIFAR10 dataset\n", | |
| "train_data = CIFAR10(root='./data', train=True, download=True, transform=ToTensor())\n", | |
| "test_data = CIFAR10(root='./data', train=False, download=True, transform=ToTensor())\n", | |
| "\n", | |
| "# Convert dataset to numpy arrays for sklearn\n", | |
| "def to_numpy(dataset):\n", | |
| " # reduce the batch size to make training faster\n", | |
| " loader = DataLoader(dataset, batch_size=len(dataset) // 10, shuffle=True)\n", | |
| " for data, targets in loader:\n", | |
| " return data.numpy(), targets.numpy()\n", | |
| "\n", | |
| "train_images, train_labels = to_numpy(train_data)\n", | |
| "test_images, test_labels = to_numpy(test_data)" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "_mOwLLdYpvKI", | |
| "outputId": "325d39fa-064f-4d7b-8962-b7ff034c8b03" | |
| }, | |
| "execution_count": 3, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./data/cifar-10-python.tar.gz\n" | |
| ] | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stderr", | |
| "text": [ | |
| "100%|██████████| 170498071/170498071 [00:14<00:00, 11888119.02it/s]\n" | |
| ] | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Extracting ./data/cifar-10-python.tar.gz to ./data\n", | |
| "Files already downloaded and verified\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "print(train_images.shape, train_labels.shape)\n", | |
| "print(test_images.shape, test_labels.shape)" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "yEwtKcLBpzQ_", | |
| "outputId": "5d380a2f-3a92-4851-f1f5-78594f60bc2c" | |
| }, | |
| "execution_count": 4, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "(5000, 3, 32, 32) (5000,)\n", | |
| "(1000, 3, 32, 32) (1000,)\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# Preprocess: flatten and scale the images\n", | |
| "scaler = StandardScaler()\n", | |
| "train_images = scaler.fit_transform(train_images.reshape(len(train_images), -1))\n", | |
| "test_images = scaler.transform(test_images.reshape(len(test_images), -1))\n", | |
| "\n", | |
| "# Train a Logistic Regression model\n", | |
| "def train_model():\n", | |
| " model = LogisticRegression(multi_class='multinomial', max_iter=500)\n", | |
| " model.fit(train_images, train_labels)\n", | |
| " return model\n", | |
| "\n", | |
| "# Use multiprocessing to speed up training\n", | |
| "with Pool() as pool:\n", | |
| " start_time = time.time()\n", | |
| " model = pool.apply_async(train_model).get()\n", | |
| " end_time = time.time()\n", | |
| "\n", | |
| "print(f\"Training completed in {end_time - start_time:.2f} seconds\")" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "IgnLGvSrp9v4", | |
| "outputId": "6a0e779c-87a7-48e6-f609-e8acfbe64efe" | |
| }, | |
| "execution_count": 5, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stderr", | |
| "text": [ | |
| "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n", | |
| "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", | |
| "\n", | |
| "Increase the number of iterations (max_iter) or scale the data as shown in:\n", | |
| " https://scikit-learn.org/stable/modules/preprocessing.html\n", | |
| "Please also refer to the documentation for alternative solver options:\n", | |
| " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", | |
| " n_iter_i = _check_optimize_result(\n" | |
| ] | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Training completed in 80.55 seconds\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# Predict test outcomes\n", | |
| "test_predictions = model.predict_proba(test_images)\n", | |
| "\n", | |
| "# Calculate accuracy\n", | |
| "accuracy = accuracy_score(test_labels, np.argmax(test_predictions, axis=1))\n", | |
| "print(f\"Accuracy: {accuracy:.2%}\")" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "U9c62HJkqMIJ", | |
| "outputId": "ab92077b-3ef6-4999-9f21-632e58b80a0b" | |
| }, | |
| "execution_count": 6, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Accuracy: 26.20%\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# Multiclass ROC Curve and AUC\n", | |
| "lb = LabelBinarizer()\n", | |
| "lb.fit(test_labels)\n", | |
| "binarized_labels = lb.transform(test_labels)\n", | |
| "\n", | |
| "def plot_roc_auc_curve(labels, probas):\n", | |
| " fig, ax = plt.subplots()\n", | |
| " for i in range(10):\n", | |
| " fpr, tpr, _ = roc_curve(labels[:, i], probas[:, i])\n", | |
| " roc_auc = auc(fpr, tpr)\n", | |
| " ax.plot(fpr, tpr, label=f'Class {i} (AUC = {roc_auc:.2f})')\n", | |
| "\n", | |
| " ax.plot([0, 1], [0, 1], 'k--')\n", | |
| " ax.set_xlabel('False Positive Rate')\n", | |
| " ax.set_ylabel('True Positive Rate')\n", | |
| " ax.set_title('Receiver Operating Characteristic (ROC) Curves')\n", | |
| " ax.legend(loc='lower right')\n", | |
| "\n", | |
| " plt.show()\n", | |
| "\n", | |
| "plot_roc_auc_curve(binarized_labels, test_predictions)" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 472 | |
| }, | |
| "id": "PeCWzbQJqSZe", | |
| "outputId": "b65dd729-4500-407d-9ac7-30cd9278c0bc" | |
| }, | |
| "execution_count": 7, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 640x480 with 1 Axes>" | |
| ], | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "## 2. Train a RandomForest classifier\n", | |
| "\n", | |
| "* Plot the ROC curve with AUC scores on the test set.\n", | |
| "* Calculate accuracy of the classifier on the test set.\n", | |
| "* Time is precious, run multiple jobs at the same time." | |
| ], | |
| "metadata": { | |
| "id": "w9O1DT9otDMc" | |
| } | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# Initialize RandomForest Classifier with multiple jobs\n", | |
| "rf_classifier = RandomForestClassifier(n_jobs=-1, random_state=42)\n", | |
| "\n", | |
| "# Train the model\n", | |
| "rf_classifier.fit(train_images, train_labels)\n", | |
| "\n", | |
| "# Predict probabilities\n", | |
| "y_pred_prob = rf_classifier.predict_proba(test_images)" | |
| ], | |
| "metadata": { | |
| "id": "N-j5xkO4qUnt" | |
| }, | |
| "execution_count": 8, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "plot_roc_auc_curve(binarized_labels, y_pred_prob) # seems much better, GREAT BASELINE" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 472 | |
| }, | |
| "id": "jqd5G6Drt7ii", | |
| "outputId": "26b57e7d-b1f6-41ea-da6e-26813dd8dc72" | |
| }, | |
| "execution_count": 9, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 640x480 with 1 Axes>" | |
| ], | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "## 3. Train an multi layer perceptron classifier\n", | |
| "\n", | |
| "* use the `MLPClassifier` from `sklearn`\n", | |
| "* Set its parameter to `max_iter = 30` or if you have time, set it for at least `100`. After `30` iterations the model does not converge but gives reasonable predictions (with default parameters).\n", | |
| "* Plot the ROC curves with AUC scores for the test set.\n", | |
| "* Calculate the accuracy of the model on the test set." | |
| ], | |
| "metadata": { | |
| "id": "XlKoQZcBuRGP" | |
| } | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# Initialize the MLP Classifier\n", | |
| "mlp_classifier = MLPClassifier(max_iter=50, verbose=1) # Use 100 for more iterations\n", | |
| "\n", | |
| "# Train the model\n", | |
| "mlp_classifier.fit(train_images, train_labels)\n", | |
| "\n", | |
| "# Predict probabilities\n", | |
| "y_pred_prob = mlp_classifier.predict_proba(test_images)" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "csjZLSKbuF3_", | |
| "outputId": "9e703eb8-c35d-4f9f-e338-9ae1da8b8d30" | |
| }, | |
| "execution_count": 10, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Iteration 1, loss = 2.44596412\n", | |
| "Iteration 2, loss = 1.69763463\n", | |
| "Iteration 3, loss = 1.43192009\n", | |
| "Iteration 4, loss = 1.31667325\n", | |
| "Iteration 5, loss = 1.17444883\n", | |
| "Iteration 6, loss = 1.05465449\n", | |
| "Iteration 7, loss = 0.95655482\n", | |
| "Iteration 8, loss = 0.85708025\n", | |
| "Iteration 9, loss = 0.82098754\n", | |
| "Iteration 10, loss = 0.74981370\n", | |
| "Iteration 11, loss = 0.66780268\n", | |
| "Iteration 12, loss = 0.63989773\n", | |
| "Iteration 13, loss = 0.60423533\n", | |
| "Iteration 14, loss = 0.54514838\n", | |
| "Iteration 15, loss = 0.47818198\n", | |
| "Iteration 16, loss = 0.43481262\n", | |
| "Iteration 17, loss = 0.41022318\n", | |
| "Iteration 18, loss = 0.36407445\n", | |
| "Iteration 19, loss = 0.33296451\n", | |
| "Iteration 20, loss = 0.29742927\n", | |
| "Iteration 21, loss = 0.28206701\n", | |
| "Iteration 22, loss = 0.26691970\n", | |
| "Iteration 23, loss = 0.25559544\n", | |
| "Iteration 24, loss = 0.23666571\n", | |
| "Iteration 25, loss = 0.20998782\n", | |
| "Iteration 26, loss = 0.19768181\n", | |
| "Iteration 27, loss = 0.17725562\n", | |
| "Iteration 28, loss = 0.14366470\n", | |
| "Iteration 29, loss = 0.12835551\n", | |
| "Iteration 30, loss = 0.14333988\n", | |
| "Iteration 31, loss = 0.13049195\n", | |
| "Iteration 32, loss = 0.10075961\n", | |
| "Iteration 33, loss = 0.09620287\n", | |
| "Iteration 34, loss = 0.08658449\n", | |
| "Iteration 35, loss = 0.08726826\n", | |
| "Iteration 36, loss = 0.08349813\n", | |
| "Iteration 37, loss = 0.07906532\n", | |
| "Iteration 38, loss = 0.06674319\n", | |
| "Iteration 39, loss = 0.06451099\n", | |
| "Iteration 40, loss = 0.07334293\n", | |
| "Iteration 41, loss = 0.05482381\n", | |
| "Iteration 42, loss = 0.05200011\n", | |
| "Iteration 43, loss = 0.05339801\n", | |
| "Iteration 44, loss = 0.05244745\n", | |
| "Iteration 45, loss = 0.05551611\n", | |
| "Iteration 46, loss = 0.04546672\n", | |
| "Iteration 47, loss = 0.04154731\n", | |
| "Iteration 48, loss = 0.03923361\n", | |
| "Iteration 49, loss = 0.03434223\n", | |
| "Iteration 50, loss = 0.03038292\n" | |
| ] | |
| }, | |
| { | |
| "output_type": "stream", | |
| "name": "stderr", | |
| "text": [ | |
| "/usr/local/lib/python3.10/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:686: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet.\n", | |
| " warnings.warn(\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "plot_roc_auc_curve(binarized_labels, y_pred_prob)" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 472 | |
| }, | |
| "id": "SETr_uydu77_", | |
| "outputId": "9dbbbf31-fe1f-47c6-83a4-6eeeb5abf8ac" | |
| }, | |
| "execution_count": 11, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 640x480 with 1 Axes>" | |
| ], | |
| "image/png": 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\n" | |
| }, | |
| "metadata": {} | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "## 4.\n", | |
| "\n", | |
| "Train a ResNet50 Convolutional Neural Network (CNN) on a given dataset, utilizing random and pre-trained weights for transfer learning. Fine-tune the model for at least 3 epochs to demonstrate its effectiveness. Longer training may yield even better results." | |
| ], | |
| "metadata": { | |
| "id": "52wfxTtTuYhs" | |
| } | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "!pip install lightning timm" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "Yo2BHz9OxFbO", | |
| "outputId": "f4e380b2-16df-41a5-b3ea-92789e837463" | |
| }, | |
| "execution_count": 12, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stdout", | |
| "text": [ | |
| "Collecting lightning\n", | |
| " Downloading lightning-2.1.2-py3-none-any.whl (2.0 MB)\n", | |
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| "Installing collected packages: lightning-utilities, torchmetrics, timm, pytorch-lightning, lightning\n", | |
| "Successfully installed lightning-2.1.2 lightning-utilities-0.10.0 pytorch-lightning-2.1.2 timm-0.9.11 torchmetrics-1.2.0\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "import torch\n", | |
| "import torch.nn as nn\n", | |
| "import torch.nn.functional as F\n", | |
| "import timm # https://huggingface.co/docs/timm/index\n", | |
| "from torch.utils.data import DataLoader, random_split\n", | |
| "from torchvision import datasets, transforms\n", | |
| "import lightning.pytorch as pl\n", | |
| "from sklearn.metrics import confusion_matrix\n", | |
| "from torchmetrics import Accuracy\n", | |
| "from tqdm.notebook import tqdm" | |
| ], | |
| "metadata": { | |
| "id": "LYsO8WxRxTCB" | |
| }, | |
| "execution_count": 13, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "class ResNet18(pl.LightningModule):\n", | |
| " def __init__(self, pretrained=False, n_classes=10):\n", | |
| " super(ResNet18, self).__init__()\n", | |
| " self.backbone = timm.create_model('resnet18', pretrained=pretrained, num_classes=0)\n", | |
| " self.fc = nn.Linear(512, n_classes, bias=False)\n", | |
| "\n", | |
| " self.valid_acc = Accuracy('multiclass', num_classes=n_classes)\n", | |
| " self.train_acc = Accuracy('multiclass', num_classes=n_classes)\n", | |
| "\n", | |
| " def forward(self, x):\n", | |
| " x = self.backbone(x)\n", | |
| " x = self.fc(x)\n", | |
| " return x\n", | |
| "\n", | |
| " def configure_optimizers(self):\n", | |
| " return torch.optim.Adam(self.parameters(), lr=0.001)\n", | |
| "\n", | |
| " def training_step(self, batch, batch_idx):\n", | |
| " x, y = batch\n", | |
| " y_hat = self.forward(x)\n", | |
| " loss = F.cross_entropy(y_hat, y)\n", | |
| " self.log('train_loss', loss, prog_bar=True)\n", | |
| " self.log('train_acc', self.train_acc(y_hat.softmax(-1), y), prog_bar=True)\n", | |
| " return loss\n", | |
| "\n", | |
| " def validation_step(self, batch, batch_idx):\n", | |
| " x, y = batch\n", | |
| " y_hat = self.forward(x)\n", | |
| " loss = F.cross_entropy(y_hat, y)\n", | |
| " self.log('val_loss', loss, prog_bar=True)\n", | |
| " self.log('val_acc', self.valid_acc(y_hat.softmax(-1), y), prog_bar=True)\n", | |
| " return loss\n", | |
| "\n", | |
| " def predict(self, dataloader, probabilities=False):\n", | |
| " self.eval()\n", | |
| " y_pred = []\n", | |
| " y_true = []\n", | |
| " for batch in tqdm(dataloader):\n", | |
| " x, y = batch\n", | |
| " y_true.extend(y.detach().cpu().numpy().tolist())\n", | |
| " output = self.forward(x)\n", | |
| " if probabilities:\n", | |
| " y_pred.extend(output.softmax(-1).detach().cpu().numpy().tolist())\n", | |
| " else:\n", | |
| " y_pred.extend(output.argmax(-1).detach().cpu().numpy().tolist())\n", | |
| " self.train()\n", | |
| " return np.array(y_pred), np.array(y_true)" | |
| ], | |
| "metadata": { | |
| "id": "mWf7w4wSuY-1" | |
| }, | |
| "execution_count": 14, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "random_model = ResNet18()" | |
| ], | |
| "metadata": { | |
| "id": "bPcQwzj2yWHf" | |
| }, | |
| "execution_count": 22, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "train_loader = torch.utils.data.DataLoader(train_data, batch_size=64, shuffle=True)\n", | |
| "val_loader = torch.utils.data.DataLoader(test_data, batch_size=64, shuffle=False)" | |
| ], | |
| "metadata": { | |
| "id": "A8PVS5BnynwP" | |
| }, | |
| "execution_count": 23, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "trainer = pl.Trainer(limit_train_batches=300, limit_test_batches=25, max_epochs=5)\n", | |
| "trainer.fit(model=random_model, train_dataloaders=train_loader, val_dataloaders=val_loader)" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 674, | |
| "referenced_widgets": [ | |
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| ] | |
| }, | |
| "id": "RtehJp00zasG", | |
| "outputId": "8059e0fc-247a-4741-c339-24da2fdbc1ed" | |
| }, | |
| "execution_count": 24, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "name": "stderr", | |
| "text": [ | |
| "INFO: GPU available: True (cuda), used: True\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:GPU available: True (cuda), used: True\n", | |
| "INFO: TPU available: False, using: 0 TPU cores\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n", | |
| "INFO: IPU available: False, using: 0 IPUs\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:IPU available: False, using: 0 IPUs\n", | |
| "INFO: HPU available: False, using: 0 HPUs\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:HPU available: False, using: 0 HPUs\n", | |
| "INFO: LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", | |
| "INFO:lightning.pytorch.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", | |
| "INFO: \n", | |
| " | Name | Type | Params\n", | |
| "-------------------------------------------------\n", | |
| "0 | backbone | ResNet | 11.2 M\n", | |
| "1 | fc | Linear | 5.1 K \n", | |
| "2 | valid_acc | MulticlassAccuracy | 0 \n", | |
| "3 | train_acc | MulticlassAccuracy | 0 \n", | |
| "-------------------------------------------------\n", | |
| "11.2 M Trainable params\n", | |
| "0 Non-trainable params\n", | |
| "11.2 M Total params\n", | |
| "44.727 Total estimated model params size (MB)\n", | |
| "INFO:lightning.pytorch.callbacks.model_summary:\n", | |
| " | Name | Type | Params\n", | |
| "-------------------------------------------------\n", | |
| "0 | backbone | ResNet | 11.2 M\n", | |
| "1 | fc | Linear | 5.1 K \n", | |
| "2 | valid_acc | MulticlassAccuracy | 0 \n", | |
| "3 | train_acc | MulticlassAccuracy | 0 \n", | |
| "-------------------------------------------------\n", | |
| "11.2 M Trainable params\n", | |
| "0 Non-trainable params\n", | |
| "11.2 M Total params\n", | |
| "44.727 Total estimated model params size (MB)\n" | |
| ] | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "Sanity Checking: | | 0/? [00:00<?, ?it/s]" | |
| ], | |
| "application/vnd.jupyter.widget-view+json": { | |
| "version_major": 2, | |
| "version_minor": 0, | |
| "model_id": "0ad8bdd3af6c44bfab12ee06bf08bf35" | |
| } | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "Training: | | 0/? [00:00<?, ?it/s]" | |
| ], | |
| "application/vnd.jupyter.widget-view+json": { | |
| "version_major": 2, | |
| "version_minor": 0, | |
| "model_id": "e77317b6bbc74fd3aaefcfee0296e518" | |
| } | |
| }, | |
| "metadata": {} | |
| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "Validation: | | 0/? [00:00<?, ?it/s]" | |
| ], | |
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| "INFO: `Trainer.fit` stopped: `max_epochs=5` reached.\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=5` reached.\n" | |
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| "execution_count": 26, | |
| "outputs": [ | |
| { | |
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| "name": "stderr", | |
| "text": [ | |
| "INFO: GPU available: True (cuda), used: True\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:GPU available: True (cuda), used: True\n", | |
| "INFO: TPU available: False, using: 0 TPU cores\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:TPU available: False, using: 0 TPU cores\n", | |
| "INFO: IPU available: False, using: 0 IPUs\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:IPU available: False, using: 0 IPUs\n", | |
| "INFO: HPU available: False, using: 0 HPUs\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:HPU available: False, using: 0 HPUs\n", | |
| "INFO: LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", | |
| "INFO:lightning.pytorch.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", | |
| "INFO: \n", | |
| " | Name | Type | Params\n", | |
| "-------------------------------------------------\n", | |
| "0 | backbone | ResNet | 11.2 M\n", | |
| "1 | fc | Linear | 5.1 K \n", | |
| "2 | valid_acc | MulticlassAccuracy | 0 \n", | |
| "3 | train_acc | MulticlassAccuracy | 0 \n", | |
| "-------------------------------------------------\n", | |
| "11.2 M Trainable params\n", | |
| "0 Non-trainable params\n", | |
| "11.2 M Total params\n", | |
| "44.727 Total estimated model params size (MB)\n", | |
| "INFO:lightning.pytorch.callbacks.model_summary:\n", | |
| " | Name | Type | Params\n", | |
| "-------------------------------------------------\n", | |
| "0 | backbone | ResNet | 11.2 M\n", | |
| "1 | fc | Linear | 5.1 K \n", | |
| "2 | valid_acc | MulticlassAccuracy | 0 \n", | |
| "3 | train_acc | MulticlassAccuracy | 0 \n", | |
| "-------------------------------------------------\n", | |
| "11.2 M Trainable params\n", | |
| "0 Non-trainable params\n", | |
| "11.2 M Total params\n", | |
| "44.727 Total estimated model params size (MB)\n" | |
| ] | |
| }, | |
| { | |
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| "data": { | |
| "text/plain": [ | |
| "Sanity Checking: | | 0/? [00:00<?, ?it/s]" | |
| ], | |
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| "Validation: | | 0/? [00:00<?, ?it/s]" | |
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| }, | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "Validation: | | 0/? [00:00<?, ?it/s]" | |
| ], | |
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| { | |
| "output_type": "stream", | |
| "name": "stderr", | |
| "text": [ | |
| "INFO: `Trainer.fit` stopped: `max_epochs=5` reached.\n", | |
| "INFO:lightning.pytorch.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=5` reached.\n" | |
| ] | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "%reload_ext tensorboard\n", | |
| "%tensorboard --logdir=lightning_logs/" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "resources": { | |
| "https://localhost:6006/?tensorboardColab=true": { | |
| "data": "<!doctype html><meta name="tb-relative-root" content="./"><!doctype html><!--
@license
Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
--><html><head><meta charset="utf-8">
<title>TensorBoard</title>
<link rel="shortcut icon" 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">
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">

<style>
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/uYECMKoHcO9x1wdmbyHIm3-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/sTdaA6j0Psb920Vjv-mrzH-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0460-052F, U+20B4, U+2DE0-2DFF, U+A640-A69F;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/_VYFx-s824kXq_Ul2BHqYH-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0370-03FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/tnj4SB6DNbdaQnsM8CFqBX-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+1F00-1FFF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/oMMgfZMQthOryQo9n22dcuvvDin1pK8aKteLpeZ5c0A.woff2) format('woff2');
  unicode-range: U+0000-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2000-206F, U+2074, U+20AC, U+2212, U+2215;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/Ks_cVxiCiwUWVsFWFA3Bjn-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0100-024F, U+1E00-1EFF, U+20A0-20AB, U+20AD-20CF, U+2C60-2C7F, U+A720-A7FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 400;
  src: local('Roboto'), local('Roboto-Regular'), url(/font-roboto/NJ4vxlgWwWbEsv18dAhqnn-_kf6ByYO6CLYdB4HQE-Y.woff2) format('woff2');
  unicode-range: U+0102-0103, U+1EA0-1EF9, U+20AB;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/isZ-wbCXNKAbnjo6_TwHToX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0400-045F, U+0490-0491, U+04B0-04B1, U+2116;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/77FXFjRbGzN4aCrSFhlh3oX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0460-052F, U+20B4, U+2DE0-2DFF, U+A640-A69F;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/jSN2CGVDbcVyCnfJfjSdfIX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+0370-03FF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
  src: local('Roboto Bold'), local('Roboto-Bold'), url(/font-roboto/UX6i4JxQDm3fVTc1CPuwqoX0hVgzZQUfRDuZrPvH3D8.woff2) format('woff2');
  unicode-range: U+1F00-1FFF;
}
@font-face {
  font-family: 'Roboto';
  font-style: normal;
  font-weight: 700;
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@font-face {
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@font-face {
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@font-face {
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@font-face {
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  unicode-range: U+0102-0103, U+1EA0-1EF9, U+20AB;
}
</style>



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.mat-pseudo-checkbox-full.mat-pseudo-checkbox-disabled{color:#686868}body.dark-mode .mat-primary .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-minimal::after,body.dark-mode .mat-primary .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-minimal::after{color:#ef6c00}body.dark-mode .mat-primary .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full,body.dark-mode .mat-primary .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full{background:#ef6c00}body.dark-mode .mat-primary .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full::after,body.dark-mode .mat-primary .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full::after{color:#303030}body.dark-mode .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-minimal::after,body.dark-mode .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-minimal::after{color:#ef6c00}body.dark-mode .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full,body.dark-mode .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full{background:#ef6c00}body.dark-mode .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full::after,body.dark-mode .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full::after{color:#303030}body.dark-mode .mat-accent .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-minimal::after,body.dark-mode .mat-accent .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-minimal::after{color:#ef6c00}body.dark-mode .mat-accent .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full,body.dark-mode .mat-accent .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full{background:#ef6c00}body.dark-mode .mat-accent .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full::after,body.dark-mode .mat-accent .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full::after{color:#303030}body.dark-mode .mat-warn .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-minimal::after,body.dark-mode .mat-warn .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-minimal::after{color:#f44336}body.dark-mode .mat-warn .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full,body.dark-mode .mat-warn .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full{background:#f44336}body.dark-mode .mat-warn .mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full::after,body.dark-mode .mat-warn .mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full::after{color:#303030}body.dark-mode .mat-pseudo-checkbox-disabled.mat-pseudo-checkbox-checked.mat-pseudo-checkbox-minimal::after,body.dark-mode .mat-pseudo-checkbox-disabled.mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-minimal::after{color:#686868}body.dark-mode .mat-pseudo-checkbox-disabled.mat-pseudo-checkbox-checked.mat-pseudo-checkbox-full,body.dark-mode .mat-pseudo-checkbox-disabled.mat-pseudo-checkbox-indeterminate.mat-pseudo-checkbox-full{background:#686868}body.dark-mode 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rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z6{box-shadow:0px 3px 5px -1px rgba(0, 0, 0, 0.2), 0px 6px 10px 0px rgba(0, 0, 0, 0.14), 0px 1px 18px 0px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z7{box-shadow:0px 4px 5px -2px rgba(0, 0, 0, 0.2), 0px 7px 10px 1px rgba(0, 0, 0, 0.14), 0px 2px 16px 1px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z8{box-shadow:0px 5px 5px -3px rgba(0, 0, 0, 0.2), 0px 8px 10px 1px rgba(0, 0, 0, 0.14), 0px 3px 14px 2px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z9{box-shadow:0px 5px 6px -3px rgba(0, 0, 0, 0.2), 0px 9px 12px 1px rgba(0, 0, 0, 0.14), 0px 3px 16px 2px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z10{box-shadow:0px 6px 6px -3px rgba(0, 0, 0, 0.2), 0px 10px 14px 1px rgba(0, 0, 0, 0.14), 0px 4px 18px 3px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z11{box-shadow:0px 6px 7px -4px rgba(0, 0, 0, 0.2), 0px 11px 15px 1px rgba(0, 0, 0, 0.14), 0px 4px 20px 3px rgba(0, 0, 0, 0.12)}body.dark-mode 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rgba(0, 0, 0, 0.2), 0px 18px 28px 2px rgba(0, 0, 0, 0.14), 0px 7px 34px 6px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z19{box-shadow:0px 9px 12px -6px rgba(0, 0, 0, 0.2), 0px 19px 29px 2px rgba(0, 0, 0, 0.14), 0px 7px 36px 6px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z20{box-shadow:0px 10px 13px -6px rgba(0, 0, 0, 0.2), 0px 20px 31px 3px rgba(0, 0, 0, 0.14), 0px 8px 38px 7px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z21{box-shadow:0px 10px 13px -6px rgba(0, 0, 0, 0.2), 0px 21px 33px 3px rgba(0, 0, 0, 0.14), 0px 8px 40px 7px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z22{box-shadow:0px 10px 14px -6px rgba(0, 0, 0, 0.2), 0px 22px 35px 3px rgba(0, 0, 0, 0.14), 0px 8px 42px 7px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z23{box-shadow:0px 11px 14px -7px rgba(0, 0, 0, 0.2), 0px 23px 36px 3px rgba(0, 0, 0, 0.14), 0px 9px 44px 8px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-elevation-z24{box-shadow:0px 11px 15px -7px rgba(0, 0, 0, 0.2), 0px 24px 38px 3px rgba(0, 0, 0, 0.14), 0px 9px 46px 8px rgba(0, 0, 0, 0.12)}.mat-theme-loaded-marker{display:none}body.dark-mode .mat-card{background:#424242;color:#fff}body.dark-mode .mat-card:not([class*=mat-elevation-z]){box-shadow:0px 2px 1px -1px rgba(0, 0, 0, 0.2), 0px 1px 1px 0px rgba(0, 0, 0, 0.14), 0px 1px 3px 0px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-card.mat-card-flat:not([class*=mat-elevation-z]){box-shadow:0px 0px 0px 0px rgba(0, 0, 0, 0.2), 0px 0px 0px 0px rgba(0, 0, 0, 0.14), 0px 0px 0px 0px rgba(0, 0, 0, 0.12)}body.dark-mode .mat-card-subtitle{color:rgba(255,255,255,.7)}body.dark-mode .mat-progress-bar-background{fill:#603f24}body.dark-mode .mat-progress-bar-buffer{background-color:#603f24}body.dark-mode .mat-progress-bar-fill::after{background-color:#ef6c00}body.dark-mode .mat-progress-bar.mat-accent .mat-progress-bar-background{fill:#603f24}body.dark-mode .mat-progress-bar.mat-accent .mat-progress-bar-buffer{background-color:#603f24}body.dark-mode .mat-progress-bar.mat-accent 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.mat-input-element{caret-color:#ef6c00}body.dark-mode .mat-input-element::placeholder{color:rgba(255,255,255,.5)}body.dark-mode .mat-input-element::-moz-placeholder{color:rgba(255,255,255,.5)}body.dark-mode .mat-input-element::-webkit-input-placeholder{color:rgba(255,255,255,.5)}body.dark-mode .mat-input-element:-ms-input-placeholder{color:rgba(255,255,255,.5)}body.dark-mode .mat-input-element:not(.mat-native-select-inline) option{color:rgba(0,0,0,.87)}body.dark-mode .mat-input-element:not(.mat-native-select-inline) option:disabled{color:rgba(0,0,0,.38)}body.dark-mode .mat-form-field.mat-accent .mat-input-element{caret-color:#ef6c00}body.dark-mode .mat-form-field.mat-warn .mat-input-element,body.dark-mode .mat-form-field-invalid .mat-input-element{caret-color:#f44336}body.dark-mode .mat-form-field-type-mat-native-select.mat-form-field-invalid .mat-form-field-infix::after{color:#f44336}body.dark-mode .mat-form-field-disabled .mat-form-field-prefix,body.dark-mode .mat-form-field-disabled .mat-form-field-suffix{color:#616161}body.dark-mode .mat-form-field-label{color:rgba(255,255,255,.7)}body.dark-mode .mat-hint{color:rgba(255,255,255,.7)}body.dark-mode .mat-form-field.mat-focused .mat-form-field-label{color:#ef6c00}body.dark-mode .mat-form-field.mat-focused .mat-form-field-label.mat-accent{color:#ef6c00}body.dark-mode .mat-form-field.mat-focused .mat-form-field-label.mat-warn{color:#f44336}body.dark-mode .mat-focused .mat-form-field-required-marker{color:#ef6c00}body.dark-mode .mat-form-field-ripple{background-color:#fff}body.dark-mode .mat-form-field.mat-focused .mat-form-field-ripple{background-color:#ef6c00}body.dark-mode .mat-form-field.mat-focused .mat-form-field-ripple.mat-accent{background-color:#ef6c00}body.dark-mode .mat-form-field.mat-focused .mat-form-field-ripple.mat-warn{background-color:#f44336}body.dark-mode .mat-form-field-type-mat-native-select.mat-focused:not(.mat-form-field-invalid) .mat-form-field-infix::after{color:#ef6c00}body.dark-mode 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.mat-hint{color:rgba(255,255,255,.7)}body.dark-mode .mat-form-field-appearance-legacy .mat-form-field-underline{background-color:rgba(255,255,255,.7)}body.dark-mode .mat-form-field-appearance-legacy.mat-form-field-disabled .mat-form-field-underline{background-image:linear-gradient(to right, rgba(255, 255, 255, 0.7) 0%, rgba(255, 255, 255, 0.7) 33%, transparent 0%);background-size:4px 100%;background-repeat:repeat-x}body.dark-mode .mat-form-field-appearance-standard .mat-form-field-underline{background-color:rgba(255,255,255,.7)}body.dark-mode .mat-form-field-appearance-standard.mat-form-field-disabled .mat-form-field-underline{background-image:linear-gradient(to right, rgba(255, 255, 255, 0.7) 0%, rgba(255, 255, 255, 0.7) 33%, transparent 0%);background-size:4px 100%;background-repeat:repeat-x}body.dark-mode .mat-form-field-appearance-fill .mat-form-field-flex{background-color:rgba(255,255,255,.1)}body.dark-mode .mat-form-field-appearance-fill.mat-form-field-disabled .mat-form-field-flex{background-color:rgba(255,255,255,.05)}body.dark-mode .mat-form-field-appearance-fill .mat-form-field-underline::before{background-color:rgba(255,255,255,.5)}body.dark-mode .mat-form-field-appearance-fill.mat-form-field-disabled .mat-form-field-label{color:#616161}body.dark-mode .mat-form-field-appearance-fill.mat-form-field-disabled .mat-form-field-underline::before{background-color:rgba(0,0,0,0)}body.dark-mode .mat-form-field-appearance-outline .mat-form-field-outline{color:rgba(255,255,255,.3)}body.dark-mode .mat-form-field-appearance-outline .mat-form-field-outline-thick{color:#fff}body.dark-mode .mat-form-field-appearance-outline.mat-focused .mat-form-field-outline-thick{color:#ef6c00}body.dark-mode .mat-form-field-appearance-outline.mat-focused.mat-accent .mat-form-field-outline-thick{color:#ef6c00}body.dark-mode .mat-form-field-appearance-outline.mat-focused.mat-warn .mat-form-field-outline-thick{color:#f44336}body.dark-mode 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", | |
| "ok": true, | |
| "headers": [ | |
| [ | |
| "content-type", | |
| "font/woff2" | |
| ] | |
| ], | |
| "status": 200, | |
| "status_text": "" | |
| }, | |
| "https://localhost:6006/index.js?_file_hash=751a85f7": { | |
| "data": 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