From f5cab1f10ad2e07829485344b793b95f696365b5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=D0=9F=D0=B0=D1=80=D1=88=D0=B8=D0=BD=D0=B0=20=D0=95=D0=BA?=
=?UTF-8?q?=D0=B0=D1=82=D0=B5=D1=80=D0=B8=D0=BD=D0=B0=20=D0=A1=D0=B5=D1=80?=
=?UTF-8?q?=D0=B3=D0=B5=D0=B5=D0=B2=D0=BD=D0=B0?= <esparshina@miem.hse.ru>
Date: Wed, 5 Mar 2025 12:32:16 +0000
Subject: [PATCH] Upload New File
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "I_6X4afzQna-"
+ },
+ "source": [
+ "# Суть задания\n",
+ "\n",
+ "\n",
+ "Генеративные модели (GAN, VAE)\\\n",
+ "Общая цель:\n",
+ "Показать понимание архитектур, алгоритмов обучения и функций потерь в GAN, VAE, а также получить практический опыт работы с этими моделями на небольших наборах данных (например, MNIST).\n",
+ "\n",
+ "Примерное время выполнения - ??? часов.\n",
+ "\n",
+ "Дедлайн: 1 марта в 23:59 \\\n",
+ "Сдача в течение 12 часов после дедлайна не штрафуется.\n",
+ "\n",
+ "Штрафные коэффициенты оценивания при просрочке:\n",
+ "\n",
+ "-|-\n",
+ "----|---\n",
+ "От 12 часов до 7 дней после дедлайна | 0.8\n",
+ "От 7 до 14 дней | 0.6\n",
+ "От 14 дней до конца модуля | 0.4\n",
+ "\n",
+ "## Оценивание\n",
+ "\n",
+ "Задание:\n",
+ "\n",
+ "Часть работы | Стоимость в баллах\n",
+ "-------------|--------------------\n",
+ "VAE | ???\n",
+ "GAN | ???\n",
+ "??? | ???\n",
+ "Ртого | 10 баллов\n",
+ "\n",
+ "Формула оценивания всей работы:\n",
+ "\n",
+ "О = Задание * 0.9 + Тест на лекции * 0.1\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "WN4c14ZyJFcx"
+ },
+ "source": [
+ "# 0 Подготовка системы"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "kcwIhylJ4UrO"
+ },
+ "source": [
+ "## Рмпорты библиотек"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "id": "hECP4El_4ULO"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/opt/conda/envs/un-copy/lib/python3.10/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+ " from .autonotebook import tqdm as notebook_tqdm\n"
+ ]
+ }
+ ],
+ "source": [
+ "import torch\n",
+ "import torch.nn as nn\n",
+ "import torch.optim as optim\n",
+ "from torch.utils.data import DataLoader\n",
+ "import torchvision.datasets as dset\n",
+ "import torchvision.transforms as transforms\n",
+ "import matplotlib.pyplot as plt\n",
+ "import torch.nn.functional as F\n",
+ "from tqdm import tqdm"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "GlWsSZB8FKX9"
+ },
+ "source": [
+ "# Задачи"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "22vyj_Oy00Z1"
+ },
+ "source": [
+ "# Задача 1: Реализация и обучение Variational Autoencoder (VAE)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "nDIhmJNxvlJy"
+ },
+ "source": [
+ "## Vanilla VAE"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "N6voHwOF_gjZ"
+ },
+ "source": [
+ "* Реализуйте VAE для набора данных MNIST. (0.5 задачи)\n",
+ " * Реализуйте архитектуру с энкодером, который выводит параметры\n",
+ "𝜇 и 𝜎 для аппроксимированного распределения\n",
+ "𝑞(𝑧∣𝑥), и декодером для реконструкции\n",
+ "𝑥 из 𝑧.\n",
+ " * Рспользуйте функцию потерь, включающую реконструкционную ошибку (MSE или BCE) Рё KL-дивергенцию.\n",
+ " * Обучите модель и визуализируйте результаты:\n",
+ " * Сравните исходные изображения и реконструкции.\n",
+ " * Сгенерируйте новые изображения, сэмплируя\n",
+ "* Условная генерация (0.2 задачи)\n",
+ " * Дополните модель для предоставления возможности условной генерации по заданному классу\n",
+ "* Улучшение модели (0.2 задачи)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "7Bw7atvO07I9"
+ },
+ "source": [
+ "### Реализация энкодера"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "PKUTygo55x2t"
+ },
+ "source": [
+ "Рнкодер - часть VAE, сжимающая входные данные РІ параметры вероятностного распределения рќњ‡ Рё рќњЋ. Для начала реализуйте базовую архитектуру:\n",
+ "\n",
+ "Рнициализируйте `torch.nn.Module` Рё определите несколько слоев для дальнейшего использования.\n",
+ "\n",
+ "Пожалуйста, используйте следующую структуру сети:\n",
+ "- скрытый слой\n",
+ " - линейный (полносвязный) слой со входом 784 и hidden_dim выходных измерений\n",
+ "- выходной слой для среднего значения латентного распределения\n",
+ " - линейный (полносвязный) слой hidden_dim x размерность латентного пространства\n",
+ "- выходной слой для дисперсии латентного распределения\n",
+ " - линейный (полносвязный) слой hidden_dim x размерность латентного пространства\n",
+ "\n",
+ "Также реализуйте прямой проход по сети. В качестве функции активации используйте ReLU."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "metadata": {
+ "id": "okoglm755wX1"
+ },
+ "outputs": [],
+ "source": [
+ "class Encoder(nn.Module):\n",
+ " def __init__(self, input_dim=784, hidden_dim=400, latent_dim=20):\n",
+ " super(Encoder, self).__init__()\n",
+ " self.fc1 = nn.Linear(input_dim, hidden_dim)\n",
+ " self.fc_mu = nn.Linear(hidden_dim, latent_dim)\n",
+ " self.fc_logvar = nn.Linear(hidden_dim, latent_dim)\n",
+ " \n",
+ " def forward(self, x):\n",
+ " h = F.relu(self.fc1(x))\n",
+ " mu = self.fc_mu(h)\n",
+ " logvar = self.fc_logvar(h)\n",
+ " \n",
+ " return mu, logvar"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "HMOqJcBA0_L1"
+ },
+ "source": [
+ "### Реализация декодера"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "DRLGuXR1mn5M"
+ },
+ "source": [
+ "Декодер - часть VAE, получающая на вход случайных шум размера латентного пространства и восстанавливающий (генерирующий) на его основе данные. Для начала реализуйте базовую архитектуру:\n",
+ "\n",
+ "Рнициализируйте `torch.nn.Module` Рё определите несколько слоев для дальнейшего использования.\n",
+ "\n",
+ "Пожалуйста, используйте следующую структуру сети:\n",
+ "- скрытый слой\n",
+ " - линейный (полносвязный) слой со входом с размерностью латентного пространства и выходом размера hidden_dim\n",
+ "- выходной слой\n",
+ " - линейный (полносвязный) слой со входом hidden_dim x 784 (размерность изначальных данных)\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "metadata": {
+ "id": "D2pXLExT52zG"
+ },
+ "outputs": [],
+ "source": [
+ "class Decoder(nn.Module):\n",
+ " def __init__(self, latent_dim=20, hidden_dim=400, output_dim=784):\n",
+ " super(Decoder, self).__init__()\n",
+ " self.fc1 = nn.Linear(latent_dim, hidden_dim)\n",
+ " self.fc2 = nn.Linear(hidden_dim, output_dim)\n",
+ " \n",
+ " def forward(self, z):\n",
+ " hidden = F.relu(self.fc1(z))\n",
+ " x_recon = torch.sigmoid(self.fc2(hidden))\n",
+ " return x_recon"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "X2BFPGUi555X"
+ },
+ "source": [
+ "### Собираем вместе\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "metadata": {
+ "id": "AZqb_fSz9JPe"
+ },
+ "outputs": [],
+ "source": [
+ "class VAE(nn.Module):\n",
+ " def __init__(self, input_dim=784, hidden_dim=400, latent_dim=20):\n",
+ " super(VAE, self).__init__()\n",
+ " self.encoder = Encoder(input_dim, hidden_dim, latent_dim)\n",
+ " self.decoder = Decoder(latent_dim, hidden_dim, input_dim)\n",
+ "\n",
+ " def reparameterize(self, mu, logvar):\n",
+ " std = torch.exp(0.5 * logvar)\n",
+ " epsilon = torch.randn_like(std)\n",
+ " z = mu + epsilon * std\n",
+ " return z\n",
+ "\n",
+ " def forward(self, x):\n",
+ " mu, logvar = self.encoder(x)\n",
+ " z = self.reparameterize(mu, logvar)\n",
+ " x_recon = self.decoder(z)\n",
+ " return x_recon, mu, logvar"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "7kvc6Eyy16ON"
+ },
+ "source": [
+ "### Реализация функции ошибки"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "metadata": {
+ "id": "JDJhXmzZ6D0-"
+ },
+ "outputs": [],
+ "source": [
+ "def loss_function(recon_x, x, mu, logvar):\n",
+ " # Вычислите бинарную потерю перекрестной энтропии между реконструированным выходом и оригинальным входом\n",
+ " BCE = F.binary_cross_entropy(recon_x, x, reduction='sum')\n",
+ " # Вычислите KL-расхождение между q(z|x) и p(z) = N(0, I)\n",
+ " KL = -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp())\n",
+ " # Общая функция потерь\n",
+ " return BCE + KL"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "k00HSc8w6LJG"
+ },
+ "source": [
+ "### Реализация обучения"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "XwKMZjpy6XE2"
+ },
+ "source": [
+ "#### Загрузка данных"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "GWyvaWwf6ZI4",
+ "outputId": "1152d627-23e0-411d-9043-95fe712bd28e"
+ },
+ "outputs": [],
+ "source": [
+ "# Подготовьте датасет MNIST\n",
+ "transform = transforms.Compose([\n",
+ " transforms.ToTensor(),\n",
+ " transforms.Lambda(lambda x: x.view(-1)) # Разворачиваем изображение в вектор\n",
+ "])\n",
+ "\n",
+ "mnist_train = dset.MNIST(root='./data', train=True, transform=transform, download=True)\n",
+ "train_loader = DataLoader(mnist_train, batch_size=128, shuffle=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "EybPgC8_6b--"
+ },
+ "source": [
+ "#### Обучение"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 85,
+ "metadata": {
+ "id": "4jxiDxV46qrF"
+ },
+ "outputs": [],
+ "source": [
+ "hidden_dim = 400 # размерность скрытого слоя\n",
+ "latent_dim = 20 # размерность латентного пространства\n",
+ "\n",
+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+ "model = VAE(input_dim=784, hidden_dim=hidden_dim, latent_dim=latent_dim).to(device)\n",
+ "optimizer = optim.Adam(model.parameters(), lr=1e-3)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 86,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "18XwuMST6V1u",
+ "outputId": "2e7e0b21-e76a-4afe-dcdd-c447a6776c8e"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch: 0 [0/60000 (0%)]\tLoss: 548.546814\n",
+ "Epoch: 0 [12800/60000 (21%)]\tLoss: 179.098373\n",
+ "Epoch: 0 [25600/60000 (43%)]\tLoss: 155.643784\n",
+ "Epoch: 0 [38400/60000 (64%)]\tLoss: 140.330872\n",
+ "Epoch: 0 [51200/60000 (85%)]\tLoss: 131.173737\n",
+ "====> Epoch: 0 Average loss: 163.9084\n",
+ "Epoch: 1 [0/60000 (0%)]\tLoss: 128.596802\n",
+ "Epoch: 1 [12800/60000 (21%)]\tLoss: 124.607307\n",
+ "Epoch: 1 [25600/60000 (43%)]\tLoss: 125.974258\n",
+ "Epoch: 1 [38400/60000 (64%)]\tLoss: 121.931091\n",
+ "Epoch: 1 [51200/60000 (85%)]\tLoss: 120.380371\n",
+ "====> Epoch: 1 Average loss: 121.7040\n",
+ "Epoch: 2 [0/60000 (0%)]\tLoss: 121.441162\n",
+ "Epoch: 2 [12800/60000 (21%)]\tLoss: 109.445282\n",
+ "Epoch: 2 [25600/60000 (43%)]\tLoss: 117.555740\n",
+ "Epoch: 2 [38400/60000 (64%)]\tLoss: 115.541443\n",
+ "Epoch: 2 [51200/60000 (85%)]\tLoss: 111.634293\n",
+ "====> Epoch: 2 Average loss: 114.7673\n",
+ "Epoch: 3 [0/60000 (0%)]\tLoss: 112.432999\n",
+ "Epoch: 3 [12800/60000 (21%)]\tLoss: 108.878777\n",
+ "Epoch: 3 [25600/60000 (43%)]\tLoss: 113.996948\n",
+ "Epoch: 3 [38400/60000 (64%)]\tLoss: 108.525337\n",
+ "Epoch: 3 [51200/60000 (85%)]\tLoss: 109.930954\n",
+ "====> Epoch: 3 Average loss: 111.7833\n",
+ "Epoch: 4 [0/60000 (0%)]\tLoss: 108.802773\n",
+ "Epoch: 4 [12800/60000 (21%)]\tLoss: 107.828491\n",
+ "Epoch: 4 [25600/60000 (43%)]\tLoss: 111.184441\n",
+ "Epoch: 4 [38400/60000 (64%)]\tLoss: 113.986755\n",
+ "Epoch: 4 [51200/60000 (85%)]\tLoss: 108.232140\n",
+ "====> Epoch: 4 Average loss: 109.9694\n",
+ "Epoch: 5 [0/60000 (0%)]\tLoss: 108.943207\n",
+ "Epoch: 5 [12800/60000 (21%)]\tLoss: 110.789185\n",
+ "Epoch: 5 [25600/60000 (43%)]\tLoss: 109.507965\n",
+ "Epoch: 5 [38400/60000 (64%)]\tLoss: 102.627434\n",
+ "Epoch: 5 [51200/60000 (85%)]\tLoss: 108.799232\n",
+ "====> Epoch: 5 Average loss: 108.7681\n",
+ "Epoch: 6 [0/60000 (0%)]\tLoss: 109.544067\n",
+ "Epoch: 6 [12800/60000 (21%)]\tLoss: 108.154480\n",
+ "Epoch: 6 [25600/60000 (43%)]\tLoss: 106.127113\n",
+ "Epoch: 6 [38400/60000 (64%)]\tLoss: 107.933060\n",
+ "Epoch: 6 [51200/60000 (85%)]\tLoss: 106.652054\n",
+ "====> Epoch: 6 Average loss: 107.8747\n",
+ "Epoch: 7 [0/60000 (0%)]\tLoss: 109.425568\n",
+ "Epoch: 7 [12800/60000 (21%)]\tLoss: 104.134201\n",
+ "Epoch: 7 [25600/60000 (43%)]\tLoss: 108.701805\n",
+ "Epoch: 7 [38400/60000 (64%)]\tLoss: 106.936562\n",
+ "Epoch: 7 [51200/60000 (85%)]\tLoss: 103.786942\n",
+ "====> Epoch: 7 Average loss: 107.1483\n",
+ "Epoch: 8 [0/60000 (0%)]\tLoss: 106.602303\n",
+ "Epoch: 8 [12800/60000 (21%)]\tLoss: 110.637871\n",
+ "Epoch: 8 [25600/60000 (43%)]\tLoss: 106.773140\n",
+ "Epoch: 8 [38400/60000 (64%)]\tLoss: 110.171417\n",
+ "Epoch: 8 [51200/60000 (85%)]\tLoss: 107.969238\n",
+ "====> Epoch: 8 Average loss: 106.5348\n",
+ "Epoch: 9 [0/60000 (0%)]\tLoss: 106.955750\n",
+ "Epoch: 9 [12800/60000 (21%)]\tLoss: 104.579041\n",
+ "Epoch: 9 [25600/60000 (43%)]\tLoss: 105.174988\n",
+ "Epoch: 9 [38400/60000 (64%)]\tLoss: 104.598259\n",
+ "Epoch: 9 [51200/60000 (85%)]\tLoss: 107.312683\n",
+ "====> Epoch: 9 Average loss: 106.1476\n",
+ "Epoch: 10 [0/60000 (0%)]\tLoss: 105.257919\n",
+ "Epoch: 10 [12800/60000 (21%)]\tLoss: 103.155609\n",
+ "Epoch: 10 [25600/60000 (43%)]\tLoss: 108.458717\n",
+ "Epoch: 10 [38400/60000 (64%)]\tLoss: 103.349525\n",
+ "Epoch: 10 [51200/60000 (85%)]\tLoss: 108.915771\n",
+ "====> Epoch: 10 Average loss: 105.7760\n",
+ "Epoch: 11 [0/60000 (0%)]\tLoss: 106.078873\n",
+ "Epoch: 11 [12800/60000 (21%)]\tLoss: 105.820007\n",
+ "Epoch: 11 [25600/60000 (43%)]\tLoss: 108.574173\n",
+ "Epoch: 11 [38400/60000 (64%)]\tLoss: 106.060242\n",
+ "Epoch: 11 [51200/60000 (85%)]\tLoss: 106.577637\n",
+ "====> Epoch: 11 Average loss: 105.4339\n",
+ "Epoch: 12 [0/60000 (0%)]\tLoss: 105.428574\n",
+ "Epoch: 12 [12800/60000 (21%)]\tLoss: 103.326004\n",
+ "Epoch: 12 [25600/60000 (43%)]\tLoss: 106.214211\n",
+ "Epoch: 12 [38400/60000 (64%)]\tLoss: 102.511459\n",
+ "Epoch: 12 [51200/60000 (85%)]\tLoss: 104.009758\n",
+ "====> Epoch: 12 Average loss: 105.1390\n",
+ "Epoch: 13 [0/60000 (0%)]\tLoss: 104.613373\n",
+ "Epoch: 13 [12800/60000 (21%)]\tLoss: 104.732475\n",
+ "Epoch: 13 [25600/60000 (43%)]\tLoss: 102.613075\n",
+ "Epoch: 13 [38400/60000 (64%)]\tLoss: 106.079483\n",
+ "Epoch: 13 [51200/60000 (85%)]\tLoss: 106.384262\n",
+ "====> Epoch: 13 Average loss: 104.9355\n",
+ "Epoch: 14 [0/60000 (0%)]\tLoss: 104.449493\n",
+ "Epoch: 14 [12800/60000 (21%)]\tLoss: 107.777092\n",
+ "Epoch: 14 [25600/60000 (43%)]\tLoss: 107.304504\n",
+ "Epoch: 14 [38400/60000 (64%)]\tLoss: 105.322449\n",
+ "Epoch: 14 [51200/60000 (85%)]\tLoss: 104.927620\n",
+ "====> Epoch: 14 Average loss: 104.7120\n",
+ "Epoch: 15 [0/60000 (0%)]\tLoss: 103.659164\n",
+ "Epoch: 15 [12800/60000 (21%)]\tLoss: 102.914642\n",
+ "Epoch: 15 [25600/60000 (43%)]\tLoss: 104.571228\n",
+ "Epoch: 15 [38400/60000 (64%)]\tLoss: 105.554741\n",
+ "Epoch: 15 [51200/60000 (85%)]\tLoss: 108.379822\n",
+ "====> Epoch: 15 Average loss: 104.4699\n",
+ "Epoch: 16 [0/60000 (0%)]\tLoss: 101.713867\n",
+ "Epoch: 16 [12800/60000 (21%)]\tLoss: 101.361244\n",
+ "Epoch: 16 [25600/60000 (43%)]\tLoss: 102.956711\n",
+ "Epoch: 16 [38400/60000 (64%)]\tLoss: 104.689934\n",
+ "Epoch: 16 [51200/60000 (85%)]\tLoss: 104.561348\n",
+ "====> Epoch: 16 Average loss: 104.2837\n",
+ "Epoch: 17 [0/60000 (0%)]\tLoss: 109.316437\n",
+ "Epoch: 17 [12800/60000 (21%)]\tLoss: 104.002434\n",
+ "Epoch: 17 [25600/60000 (43%)]\tLoss: 102.757996\n",
+ "Epoch: 17 [38400/60000 (64%)]\tLoss: 102.294067\n",
+ "Epoch: 17 [51200/60000 (85%)]\tLoss: 101.844528\n",
+ "====> Epoch: 17 Average loss: 104.0961\n",
+ "Epoch: 18 [0/60000 (0%)]\tLoss: 105.509506\n",
+ "Epoch: 18 [12800/60000 (21%)]\tLoss: 104.658844\n",
+ "Epoch: 18 [25600/60000 (43%)]\tLoss: 102.964935\n",
+ "Epoch: 18 [38400/60000 (64%)]\tLoss: 105.216003\n",
+ "Epoch: 18 [51200/60000 (85%)]\tLoss: 104.664787\n",
+ "====> Epoch: 18 Average loss: 103.9728\n",
+ "Epoch: 19 [0/60000 (0%)]\tLoss: 102.378433\n",
+ "Epoch: 19 [12800/60000 (21%)]\tLoss: 106.301666\n",
+ "Epoch: 19 [25600/60000 (43%)]\tLoss: 107.584450\n",
+ "Epoch: 19 [38400/60000 (64%)]\tLoss: 104.151787\n",
+ "Epoch: 19 [51200/60000 (85%)]\tLoss: 105.708832\n",
+ "====> Epoch: 19 Average loss: 103.8110\n",
+ "Epoch: 20 [0/60000 (0%)]\tLoss: 105.825363\n",
+ "Epoch: 20 [12800/60000 (21%)]\tLoss: 102.211838\n",
+ "Epoch: 20 [25600/60000 (43%)]\tLoss: 103.988533\n",
+ "Epoch: 20 [38400/60000 (64%)]\tLoss: 108.679337\n",
+ "Epoch: 20 [51200/60000 (85%)]\tLoss: 107.303978\n",
+ "====> Epoch: 20 Average loss: 103.6810\n",
+ "Epoch: 21 [0/60000 (0%)]\tLoss: 105.933182\n",
+ "Epoch: 21 [12800/60000 (21%)]\tLoss: 103.055908\n",
+ "Epoch: 21 [25600/60000 (43%)]\tLoss: 105.045486\n",
+ "Epoch: 21 [38400/60000 (64%)]\tLoss: 103.619896\n",
+ "Epoch: 21 [51200/60000 (85%)]\tLoss: 103.471207\n",
+ "====> Epoch: 21 Average loss: 103.5317\n",
+ "Epoch: 22 [0/60000 (0%)]\tLoss: 100.800087\n",
+ "Epoch: 22 [12800/60000 (21%)]\tLoss: 103.320724\n",
+ "Epoch: 22 [25600/60000 (43%)]\tLoss: 107.144089\n",
+ "Epoch: 22 [38400/60000 (64%)]\tLoss: 104.136597\n",
+ "Epoch: 22 [51200/60000 (85%)]\tLoss: 101.878883\n",
+ "====> Epoch: 22 Average loss: 103.4115\n",
+ "Epoch: 23 [0/60000 (0%)]\tLoss: 101.208412\n",
+ "Epoch: 23 [12800/60000 (21%)]\tLoss: 102.794502\n",
+ "Epoch: 23 [25600/60000 (43%)]\tLoss: 102.257721\n",
+ "Epoch: 23 [38400/60000 (64%)]\tLoss: 104.177269\n",
+ "Epoch: 23 [51200/60000 (85%)]\tLoss: 103.810471\n",
+ "====> Epoch: 23 Average loss: 103.3379\n",
+ "Epoch: 24 [0/60000 (0%)]\tLoss: 105.557014\n",
+ "Epoch: 24 [12800/60000 (21%)]\tLoss: 100.910286\n",
+ "Epoch: 24 [25600/60000 (43%)]\tLoss: 101.249763\n",
+ "Epoch: 24 [38400/60000 (64%)]\tLoss: 104.041344\n",
+ "Epoch: 24 [51200/60000 (85%)]\tLoss: 103.016922\n",
+ "====> Epoch: 24 Average loss: 103.2269\n",
+ "Epoch: 25 [0/60000 (0%)]\tLoss: 102.372971\n",
+ "Epoch: 25 [12800/60000 (21%)]\tLoss: 102.924416\n",
+ "Epoch: 25 [25600/60000 (43%)]\tLoss: 103.524353\n",
+ "Epoch: 25 [38400/60000 (64%)]\tLoss: 104.640663\n",
+ "Epoch: 25 [51200/60000 (85%)]\tLoss: 102.152199\n",
+ "====> Epoch: 25 Average loss: 103.1015\n",
+ "Epoch: 26 [0/60000 (0%)]\tLoss: 106.352615\n",
+ "Epoch: 26 [12800/60000 (21%)]\tLoss: 104.561813\n",
+ "Epoch: 26 [25600/60000 (43%)]\tLoss: 105.534340\n",
+ "Epoch: 26 [38400/60000 (64%)]\tLoss: 100.982727\n",
+ "Epoch: 26 [51200/60000 (85%)]\tLoss: 105.142334\n",
+ "====> Epoch: 26 Average loss: 103.0057\n",
+ "Epoch: 27 [0/60000 (0%)]\tLoss: 102.431976\n",
+ "Epoch: 27 [12800/60000 (21%)]\tLoss: 104.373428\n",
+ "Epoch: 27 [25600/60000 (43%)]\tLoss: 101.907928\n",
+ "Epoch: 27 [38400/60000 (64%)]\tLoss: 103.770966\n",
+ "Epoch: 27 [51200/60000 (85%)]\tLoss: 106.990280\n",
+ "====> Epoch: 27 Average loss: 102.9546\n",
+ "Epoch: 28 [0/60000 (0%)]\tLoss: 101.503410\n",
+ "Epoch: 28 [12800/60000 (21%)]\tLoss: 101.862526\n",
+ "Epoch: 28 [25600/60000 (43%)]\tLoss: 99.413132\n",
+ "Epoch: 28 [38400/60000 (64%)]\tLoss: 103.197098\n",
+ "Epoch: 28 [51200/60000 (85%)]\tLoss: 107.358047\n",
+ "====> Epoch: 28 Average loss: 102.8386\n",
+ "Epoch: 29 [0/60000 (0%)]\tLoss: 101.386993\n",
+ "Epoch: 29 [12800/60000 (21%)]\tLoss: 102.968430\n",
+ "Epoch: 29 [25600/60000 (43%)]\tLoss: 102.980919\n",
+ "Epoch: 29 [38400/60000 (64%)]\tLoss: 101.508339\n",
+ "Epoch: 29 [51200/60000 (85%)]\tLoss: 103.043266\n",
+ "====> Epoch: 29 Average loss: 102.7299\n",
+ "Epoch: 30 [0/60000 (0%)]\tLoss: 104.154152\n",
+ "Epoch: 30 [12800/60000 (21%)]\tLoss: 102.208755\n",
+ "Epoch: 30 [25600/60000 (43%)]\tLoss: 101.788956\n",
+ "Epoch: 30 [38400/60000 (64%)]\tLoss: 103.213860\n",
+ "Epoch: 30 [51200/60000 (85%)]\tLoss: 102.473099\n",
+ "====> Epoch: 30 Average loss: 102.6463\n",
+ "Epoch: 31 [0/60000 (0%)]\tLoss: 103.233444\n",
+ "Epoch: 31 [12800/60000 (21%)]\tLoss: 104.491074\n",
+ "Epoch: 31 [25600/60000 (43%)]\tLoss: 101.096001\n",
+ "Epoch: 31 [38400/60000 (64%)]\tLoss: 102.797836\n",
+ "Epoch: 31 [51200/60000 (85%)]\tLoss: 101.088844\n",
+ "====> Epoch: 31 Average loss: 102.5715\n",
+ "Epoch: 32 [0/60000 (0%)]\tLoss: 104.623795\n",
+ "Epoch: 32 [12800/60000 (21%)]\tLoss: 101.002502\n",
+ "Epoch: 32 [25600/60000 (43%)]\tLoss: 100.791412\n",
+ "Epoch: 32 [38400/60000 (64%)]\tLoss: 99.824089\n",
+ "Epoch: 32 [51200/60000 (85%)]\tLoss: 105.169937\n",
+ "====> Epoch: 32 Average loss: 102.5964\n",
+ "Epoch: 33 [0/60000 (0%)]\tLoss: 101.613075\n",
+ "Epoch: 33 [12800/60000 (21%)]\tLoss: 102.182816\n",
+ "Epoch: 33 [25600/60000 (43%)]\tLoss: 101.596291\n",
+ "Epoch: 33 [38400/60000 (64%)]\tLoss: 105.023102\n",
+ "Epoch: 33 [51200/60000 (85%)]\tLoss: 105.396515\n",
+ "====> Epoch: 33 Average loss: 102.4651\n",
+ "Epoch: 34 [0/60000 (0%)]\tLoss: 102.945946\n",
+ "Epoch: 34 [12800/60000 (21%)]\tLoss: 104.443680\n",
+ "Epoch: 34 [25600/60000 (43%)]\tLoss: 102.481697\n",
+ "Epoch: 34 [38400/60000 (64%)]\tLoss: 102.283836\n",
+ "Epoch: 34 [51200/60000 (85%)]\tLoss: 98.463799\n",
+ "====> Epoch: 34 Average loss: 102.3876\n",
+ "Epoch: 35 [0/60000 (0%)]\tLoss: 102.158470\n",
+ "Epoch: 35 [12800/60000 (21%)]\tLoss: 104.930237\n",
+ "Epoch: 35 [25600/60000 (43%)]\tLoss: 102.537949\n",
+ "Epoch: 35 [38400/60000 (64%)]\tLoss: 98.866508\n",
+ "Epoch: 35 [51200/60000 (85%)]\tLoss: 106.878868\n",
+ "====> Epoch: 35 Average loss: 102.3160\n",
+ "Epoch: 36 [0/60000 (0%)]\tLoss: 107.211609\n",
+ "Epoch: 36 [12800/60000 (21%)]\tLoss: 104.929237\n",
+ "Epoch: 36 [25600/60000 (43%)]\tLoss: 102.069977\n",
+ "Epoch: 36 [38400/60000 (64%)]\tLoss: 99.292969\n",
+ "Epoch: 36 [51200/60000 (85%)]\tLoss: 103.374924\n",
+ "====> Epoch: 36 Average loss: 102.2611\n",
+ "Epoch: 37 [0/60000 (0%)]\tLoss: 103.069595\n",
+ "Epoch: 37 [12800/60000 (21%)]\tLoss: 102.219604\n",
+ "Epoch: 37 [25600/60000 (43%)]\tLoss: 98.536285\n",
+ "Epoch: 37 [38400/60000 (64%)]\tLoss: 104.550598\n",
+ "Epoch: 37 [51200/60000 (85%)]\tLoss: 100.832054\n",
+ "====> Epoch: 37 Average loss: 102.1844\n",
+ "Epoch: 38 [0/60000 (0%)]\tLoss: 101.272659\n",
+ "Epoch: 38 [12800/60000 (21%)]\tLoss: 101.423691\n",
+ "Epoch: 38 [25600/60000 (43%)]\tLoss: 99.485771\n",
+ "Epoch: 38 [38400/60000 (64%)]\tLoss: 105.192711\n",
+ "Epoch: 38 [51200/60000 (85%)]\tLoss: 100.061653\n",
+ "====> Epoch: 38 Average loss: 102.1267\n",
+ "Epoch: 39 [0/60000 (0%)]\tLoss: 105.415405\n",
+ "Epoch: 39 [12800/60000 (21%)]\tLoss: 102.083107\n",
+ "Epoch: 39 [25600/60000 (43%)]\tLoss: 103.445396\n",
+ "Epoch: 39 [38400/60000 (64%)]\tLoss: 104.006516\n",
+ "Epoch: 39 [51200/60000 (85%)]\tLoss: 99.368622\n",
+ "====> Epoch: 39 Average loss: 102.1204\n",
+ "Epoch: 40 [0/60000 (0%)]\tLoss: 97.808830\n",
+ "Epoch: 40 [12800/60000 (21%)]\tLoss: 103.004883\n",
+ "Epoch: 40 [25600/60000 (43%)]\tLoss: 105.867035\n",
+ "Epoch: 40 [38400/60000 (64%)]\tLoss: 97.920067\n",
+ "Epoch: 40 [51200/60000 (85%)]\tLoss: 98.226135\n",
+ "====> Epoch: 40 Average loss: 101.9935\n",
+ "Epoch: 41 [0/60000 (0%)]\tLoss: 103.411087\n",
+ "Epoch: 41 [12800/60000 (21%)]\tLoss: 104.332558\n",
+ "Epoch: 41 [25600/60000 (43%)]\tLoss: 104.447235\n",
+ "Epoch: 41 [38400/60000 (64%)]\tLoss: 101.388962\n",
+ "Epoch: 41 [51200/60000 (85%)]\tLoss: 100.520119\n",
+ "====> Epoch: 41 Average loss: 101.9752\n",
+ "Epoch: 42 [0/60000 (0%)]\tLoss: 105.208961\n",
+ "Epoch: 42 [12800/60000 (21%)]\tLoss: 104.880157\n",
+ "Epoch: 42 [25600/60000 (43%)]\tLoss: 104.580635\n",
+ "Epoch: 42 [38400/60000 (64%)]\tLoss: 104.421135\n",
+ "Epoch: 42 [51200/60000 (85%)]\tLoss: 106.511673\n",
+ "====> Epoch: 42 Average loss: 101.9065\n",
+ "Epoch: 43 [0/60000 (0%)]\tLoss: 104.247833\n",
+ "Epoch: 43 [12800/60000 (21%)]\tLoss: 101.201378\n",
+ "Epoch: 43 [25600/60000 (43%)]\tLoss: 100.382866\n",
+ "Epoch: 43 [38400/60000 (64%)]\tLoss: 99.776367\n",
+ "Epoch: 43 [51200/60000 (85%)]\tLoss: 101.364967\n",
+ "====> Epoch: 43 Average loss: 101.8842\n",
+ "Epoch: 44 [0/60000 (0%)]\tLoss: 101.037170\n",
+ "Epoch: 44 [12800/60000 (21%)]\tLoss: 101.214058\n",
+ "Epoch: 44 [25600/60000 (43%)]\tLoss: 102.047180\n",
+ "Epoch: 44 [38400/60000 (64%)]\tLoss: 102.236572\n",
+ "Epoch: 44 [51200/60000 (85%)]\tLoss: 101.232277\n",
+ "====> Epoch: 44 Average loss: 101.8415\n",
+ "Epoch: 45 [0/60000 (0%)]\tLoss: 101.589767\n",
+ "Epoch: 45 [12800/60000 (21%)]\tLoss: 104.317741\n",
+ "Epoch: 45 [25600/60000 (43%)]\tLoss: 106.353241\n",
+ "Epoch: 45 [38400/60000 (64%)]\tLoss: 100.075897\n",
+ "Epoch: 45 [51200/60000 (85%)]\tLoss: 103.667938\n",
+ "====> Epoch: 45 Average loss: 101.7981\n",
+ "Epoch: 46 [0/60000 (0%)]\tLoss: 100.487038\n",
+ "Epoch: 46 [12800/60000 (21%)]\tLoss: 99.558479\n",
+ "Epoch: 46 [25600/60000 (43%)]\tLoss: 103.605644\n",
+ "Epoch: 46 [38400/60000 (64%)]\tLoss: 101.164627\n",
+ "Epoch: 46 [51200/60000 (85%)]\tLoss: 99.328590\n",
+ "====> Epoch: 46 Average loss: 101.7315\n",
+ "Epoch: 47 [0/60000 (0%)]\tLoss: 102.152924\n",
+ "Epoch: 47 [12800/60000 (21%)]\tLoss: 100.044907\n",
+ "Epoch: 47 [25600/60000 (43%)]\tLoss: 101.452377\n",
+ "Epoch: 47 [38400/60000 (64%)]\tLoss: 99.451096\n",
+ "Epoch: 47 [51200/60000 (85%)]\tLoss: 101.581909\n",
+ "====> Epoch: 47 Average loss: 101.6991\n",
+ "Epoch: 48 [0/60000 (0%)]\tLoss: 102.193260\n",
+ "Epoch: 48 [12800/60000 (21%)]\tLoss: 104.300606\n",
+ "Epoch: 48 [25600/60000 (43%)]\tLoss: 102.256691\n",
+ "Epoch: 48 [38400/60000 (64%)]\tLoss: 99.427948\n",
+ "Epoch: 48 [51200/60000 (85%)]\tLoss: 99.955986\n",
+ "====> Epoch: 48 Average loss: 101.6450\n",
+ "Epoch: 49 [0/60000 (0%)]\tLoss: 107.200615\n",
+ "Epoch: 49 [12800/60000 (21%)]\tLoss: 101.479179\n",
+ "Epoch: 49 [25600/60000 (43%)]\tLoss: 101.366196\n",
+ "Epoch: 49 [38400/60000 (64%)]\tLoss: 100.461906\n",
+ "Epoch: 49 [51200/60000 (85%)]\tLoss: 98.971008\n",
+ "====> Epoch: 49 Average loss: 101.6244\n",
+ "Epoch: 50 [0/60000 (0%)]\tLoss: 101.755562\n",
+ "Epoch: 50 [12800/60000 (21%)]\tLoss: 99.726669\n",
+ "Epoch: 50 [25600/60000 (43%)]\tLoss: 102.508049\n",
+ "Epoch: 50 [38400/60000 (64%)]\tLoss: 101.975769\n",
+ "Epoch: 50 [51200/60000 (85%)]\tLoss: 98.473053\n",
+ "====> Epoch: 50 Average loss: 101.6282\n",
+ "Epoch: 51 [0/60000 (0%)]\tLoss: 101.440277\n",
+ "Epoch: 51 [12800/60000 (21%)]\tLoss: 104.288551\n",
+ "Epoch: 51 [25600/60000 (43%)]\tLoss: 101.185593\n",
+ "Epoch: 51 [38400/60000 (64%)]\tLoss: 107.714195\n",
+ "Epoch: 51 [51200/60000 (85%)]\tLoss: 100.915573\n",
+ "====> Epoch: 51 Average loss: 101.5403\n",
+ "Epoch: 52 [0/60000 (0%)]\tLoss: 99.710564\n",
+ "Epoch: 52 [12800/60000 (21%)]\tLoss: 104.876099\n",
+ "Epoch: 52 [25600/60000 (43%)]\tLoss: 103.286507\n",
+ "Epoch: 52 [38400/60000 (64%)]\tLoss: 96.976120\n",
+ "Epoch: 52 [51200/60000 (85%)]\tLoss: 101.792358\n",
+ "====> Epoch: 52 Average loss: 101.4795\n",
+ "Epoch: 53 [0/60000 (0%)]\tLoss: 100.685120\n",
+ "Epoch: 53 [12800/60000 (21%)]\tLoss: 104.420639\n",
+ "Epoch: 53 [25600/60000 (43%)]\tLoss: 102.902565\n",
+ "Epoch: 53 [38400/60000 (64%)]\tLoss: 102.987099\n",
+ "Epoch: 53 [51200/60000 (85%)]\tLoss: 102.814041\n",
+ "====> Epoch: 53 Average loss: 101.4148\n",
+ "Epoch: 54 [0/60000 (0%)]\tLoss: 100.639694\n",
+ "Epoch: 54 [12800/60000 (21%)]\tLoss: 99.666115\n",
+ "Epoch: 54 [25600/60000 (43%)]\tLoss: 99.600410\n",
+ "Epoch: 54 [38400/60000 (64%)]\tLoss: 99.053955\n",
+ "Epoch: 54 [51200/60000 (85%)]\tLoss: 102.663376\n",
+ "====> Epoch: 54 Average loss: 101.4050\n",
+ "Epoch: 55 [0/60000 (0%)]\tLoss: 97.930222\n",
+ "Epoch: 55 [12800/60000 (21%)]\tLoss: 102.133095\n",
+ "Epoch: 55 [25600/60000 (43%)]\tLoss: 98.800522\n",
+ "Epoch: 55 [38400/60000 (64%)]\tLoss: 103.847290\n",
+ "Epoch: 55 [51200/60000 (85%)]\tLoss: 104.995697\n",
+ "====> Epoch: 55 Average loss: 101.3642\n",
+ "Epoch: 56 [0/60000 (0%)]\tLoss: 101.524429\n",
+ "Epoch: 56 [12800/60000 (21%)]\tLoss: 99.597763\n",
+ "Epoch: 56 [25600/60000 (43%)]\tLoss: 99.958832\n",
+ "Epoch: 56 [38400/60000 (64%)]\tLoss: 97.084900\n",
+ "Epoch: 56 [51200/60000 (85%)]\tLoss: 103.394897\n",
+ "====> Epoch: 56 Average loss: 101.3601\n",
+ "Epoch: 57 [0/60000 (0%)]\tLoss: 102.459808\n",
+ "Epoch: 57 [12800/60000 (21%)]\tLoss: 100.436707\n",
+ "Epoch: 57 [25600/60000 (43%)]\tLoss: 99.997665\n",
+ "Epoch: 57 [38400/60000 (64%)]\tLoss: 101.684204\n",
+ "Epoch: 57 [51200/60000 (85%)]\tLoss: 103.744598\n",
+ "====> Epoch: 57 Average loss: 101.2784\n",
+ "Epoch: 58 [0/60000 (0%)]\tLoss: 100.533470\n",
+ "Epoch: 58 [12800/60000 (21%)]\tLoss: 101.433525\n",
+ "Epoch: 58 [25600/60000 (43%)]\tLoss: 99.041161\n",
+ "Epoch: 58 [38400/60000 (64%)]\tLoss: 101.679230\n",
+ "Epoch: 58 [51200/60000 (85%)]\tLoss: 100.174416\n",
+ "====> Epoch: 58 Average loss: 101.2691\n",
+ "Epoch: 59 [0/60000 (0%)]\tLoss: 100.181870\n",
+ "Epoch: 59 [12800/60000 (21%)]\tLoss: 99.680382\n",
+ "Epoch: 59 [25600/60000 (43%)]\tLoss: 100.674515\n",
+ "Epoch: 59 [38400/60000 (64%)]\tLoss: 102.246201\n",
+ "Epoch: 59 [51200/60000 (85%)]\tLoss: 101.403313\n",
+ "====> Epoch: 59 Average loss: 101.2551\n",
+ "Epoch: 60 [0/60000 (0%)]\tLoss: 99.250259\n",
+ "Epoch: 60 [12800/60000 (21%)]\tLoss: 103.453323\n",
+ "Epoch: 60 [25600/60000 (43%)]\tLoss: 100.976479\n",
+ "Epoch: 60 [38400/60000 (64%)]\tLoss: 97.680420\n",
+ "Epoch: 60 [51200/60000 (85%)]\tLoss: 105.208305\n",
+ "====> Epoch: 60 Average loss: 101.2195\n",
+ "Epoch: 61 [0/60000 (0%)]\tLoss: 99.002045\n",
+ "Epoch: 61 [12800/60000 (21%)]\tLoss: 103.730240\n",
+ "Epoch: 61 [25600/60000 (43%)]\tLoss: 99.687508\n",
+ "Epoch: 61 [38400/60000 (64%)]\tLoss: 103.570007\n",
+ "Epoch: 61 [51200/60000 (85%)]\tLoss: 101.047089\n",
+ "====> Epoch: 61 Average loss: 101.1590\n",
+ "Epoch: 62 [0/60000 (0%)]\tLoss: 102.971512\n",
+ "Epoch: 62 [12800/60000 (21%)]\tLoss: 103.580856\n",
+ "Epoch: 62 [25600/60000 (43%)]\tLoss: 102.446808\n",
+ "Epoch: 62 [38400/60000 (64%)]\tLoss: 104.445312\n",
+ "Epoch: 62 [51200/60000 (85%)]\tLoss: 104.471596\n",
+ "====> Epoch: 62 Average loss: 101.1890\n",
+ "Epoch: 63 [0/60000 (0%)]\tLoss: 101.922638\n",
+ "Epoch: 63 [12800/60000 (21%)]\tLoss: 100.003357\n",
+ "Epoch: 63 [25600/60000 (43%)]\tLoss: 101.668800\n",
+ "Epoch: 63 [38400/60000 (64%)]\tLoss: 103.719742\n",
+ "Epoch: 63 [51200/60000 (85%)]\tLoss: 100.123062\n",
+ "====> Epoch: 63 Average loss: 101.1622\n",
+ "Epoch: 64 [0/60000 (0%)]\tLoss: 99.152740\n",
+ "Epoch: 64 [12800/60000 (21%)]\tLoss: 99.507179\n",
+ "Epoch: 64 [25600/60000 (43%)]\tLoss: 101.512199\n",
+ "Epoch: 64 [38400/60000 (64%)]\tLoss: 103.021622\n",
+ "Epoch: 64 [51200/60000 (85%)]\tLoss: 99.495766\n",
+ "====> Epoch: 64 Average loss: 101.0788\n",
+ "Epoch: 65 [0/60000 (0%)]\tLoss: 100.601128\n",
+ "Epoch: 65 [12800/60000 (21%)]\tLoss: 102.501762\n",
+ "Epoch: 65 [25600/60000 (43%)]\tLoss: 100.964600\n",
+ "Epoch: 65 [38400/60000 (64%)]\tLoss: 99.768631\n",
+ "Epoch: 65 [51200/60000 (85%)]\tLoss: 100.753250\n",
+ "====> Epoch: 65 Average loss: 101.0437\n",
+ "Epoch: 66 [0/60000 (0%)]\tLoss: 103.971771\n",
+ "Epoch: 66 [12800/60000 (21%)]\tLoss: 104.498802\n",
+ "Epoch: 66 [25600/60000 (43%)]\tLoss: 103.434860\n",
+ "Epoch: 66 [38400/60000 (64%)]\tLoss: 96.996872\n",
+ "Epoch: 66 [51200/60000 (85%)]\tLoss: 102.547836\n",
+ "====> Epoch: 66 Average loss: 101.0764\n",
+ "Epoch: 67 [0/60000 (0%)]\tLoss: 103.363342\n",
+ "Epoch: 67 [12800/60000 (21%)]\tLoss: 99.295891\n",
+ "Epoch: 67 [25600/60000 (43%)]\tLoss: 99.540146\n",
+ "Epoch: 67 [38400/60000 (64%)]\tLoss: 100.687698\n",
+ "Epoch: 67 [51200/60000 (85%)]\tLoss: 98.554695\n",
+ "====> Epoch: 67 Average loss: 101.0326\n",
+ "Epoch: 68 [0/60000 (0%)]\tLoss: 101.162201\n",
+ "Epoch: 68 [12800/60000 (21%)]\tLoss: 99.432320\n",
+ "Epoch: 68 [25600/60000 (43%)]\tLoss: 103.549263\n",
+ "Epoch: 68 [38400/60000 (64%)]\tLoss: 102.387146\n",
+ "Epoch: 68 [51200/60000 (85%)]\tLoss: 102.904495\n",
+ "====> Epoch: 68 Average loss: 100.9894\n",
+ "Epoch: 69 [0/60000 (0%)]\tLoss: 99.927765\n",
+ "Epoch: 69 [12800/60000 (21%)]\tLoss: 102.369987\n",
+ "Epoch: 69 [25600/60000 (43%)]\tLoss: 103.867996\n",
+ "Epoch: 69 [38400/60000 (64%)]\tLoss: 102.179947\n",
+ "Epoch: 69 [51200/60000 (85%)]\tLoss: 99.130524\n",
+ "====> Epoch: 69 Average loss: 100.9530\n",
+ "Epoch: 70 [0/60000 (0%)]\tLoss: 102.122635\n",
+ "Epoch: 70 [12800/60000 (21%)]\tLoss: 105.659195\n",
+ "Epoch: 70 [25600/60000 (43%)]\tLoss: 99.681671\n",
+ "Epoch: 70 [38400/60000 (64%)]\tLoss: 99.877731\n",
+ "Epoch: 70 [51200/60000 (85%)]\tLoss: 100.023277\n",
+ "====> Epoch: 70 Average loss: 100.9332\n",
+ "Epoch: 71 [0/60000 (0%)]\tLoss: 101.908295\n",
+ "Epoch: 71 [12800/60000 (21%)]\tLoss: 102.407494\n",
+ "Epoch: 71 [25600/60000 (43%)]\tLoss: 101.402481\n",
+ "Epoch: 71 [38400/60000 (64%)]\tLoss: 103.931168\n",
+ "Epoch: 71 [51200/60000 (85%)]\tLoss: 100.941193\n",
+ "====> Epoch: 71 Average loss: 100.9023\n",
+ "Epoch: 72 [0/60000 (0%)]\tLoss: 102.045273\n",
+ "Epoch: 72 [12800/60000 (21%)]\tLoss: 100.238777\n",
+ "Epoch: 72 [25600/60000 (43%)]\tLoss: 98.926392\n",
+ "Epoch: 72 [38400/60000 (64%)]\tLoss: 99.002975\n",
+ "Epoch: 72 [51200/60000 (85%)]\tLoss: 101.117058\n",
+ "====> Epoch: 72 Average loss: 100.9124\n",
+ "Epoch: 73 [0/60000 (0%)]\tLoss: 99.163788\n",
+ "Epoch: 73 [12800/60000 (21%)]\tLoss: 98.239395\n",
+ "Epoch: 73 [25600/60000 (43%)]\tLoss: 104.039093\n",
+ "Epoch: 73 [38400/60000 (64%)]\tLoss: 101.119888\n",
+ "Epoch: 73 [51200/60000 (85%)]\tLoss: 101.276909\n",
+ "====> Epoch: 73 Average loss: 100.8375\n",
+ "Epoch: 74 [0/60000 (0%)]\tLoss: 98.657318\n",
+ "Epoch: 74 [12800/60000 (21%)]\tLoss: 100.893509\n",
+ "Epoch: 74 [25600/60000 (43%)]\tLoss: 104.448730\n",
+ "Epoch: 74 [38400/60000 (64%)]\tLoss: 100.058014\n",
+ "Epoch: 74 [51200/60000 (85%)]\tLoss: 97.716972\n",
+ "====> Epoch: 74 Average loss: 100.8163\n",
+ "Epoch: 75 [0/60000 (0%)]\tLoss: 101.235703\n",
+ "Epoch: 75 [12800/60000 (21%)]\tLoss: 98.998520\n",
+ "Epoch: 75 [25600/60000 (43%)]\tLoss: 99.414017\n",
+ "Epoch: 75 [38400/60000 (64%)]\tLoss: 102.966309\n",
+ "Epoch: 75 [51200/60000 (85%)]\tLoss: 98.587585\n",
+ "====> Epoch: 75 Average loss: 100.8277\n",
+ "Epoch: 76 [0/60000 (0%)]\tLoss: 102.366280\n",
+ "Epoch: 76 [12800/60000 (21%)]\tLoss: 99.857071\n",
+ "Epoch: 76 [25600/60000 (43%)]\tLoss: 95.518677\n",
+ "Epoch: 76 [38400/60000 (64%)]\tLoss: 103.055756\n",
+ "Epoch: 76 [51200/60000 (85%)]\tLoss: 102.593880\n",
+ "====> Epoch: 76 Average loss: 100.7676\n",
+ "Epoch: 77 [0/60000 (0%)]\tLoss: 103.174034\n",
+ "Epoch: 77 [12800/60000 (21%)]\tLoss: 98.667450\n",
+ "Epoch: 77 [25600/60000 (43%)]\tLoss: 100.026886\n",
+ "Epoch: 77 [38400/60000 (64%)]\tLoss: 104.343201\n",
+ "Epoch: 77 [51200/60000 (85%)]\tLoss: 103.908531\n",
+ "====> Epoch: 77 Average loss: 100.8167\n",
+ "Epoch: 78 [0/60000 (0%)]\tLoss: 100.693924\n",
+ "Epoch: 78 [12800/60000 (21%)]\tLoss: 103.961288\n",
+ "Epoch: 78 [25600/60000 (43%)]\tLoss: 99.972633\n",
+ "Epoch: 78 [38400/60000 (64%)]\tLoss: 99.873550\n",
+ "Epoch: 78 [51200/60000 (85%)]\tLoss: 100.885513\n",
+ "====> Epoch: 78 Average loss: 100.7746\n",
+ "Epoch: 79 [0/60000 (0%)]\tLoss: 99.146553\n",
+ "Epoch: 79 [12800/60000 (21%)]\tLoss: 96.797729\n",
+ "Epoch: 79 [25600/60000 (43%)]\tLoss: 97.377678\n",
+ "Epoch: 79 [38400/60000 (64%)]\tLoss: 99.367531\n",
+ "Epoch: 79 [51200/60000 (85%)]\tLoss: 97.959259\n",
+ "====> Epoch: 79 Average loss: 100.7242\n",
+ "Epoch: 80 [0/60000 (0%)]\tLoss: 98.615280\n",
+ "Epoch: 80 [12800/60000 (21%)]\tLoss: 103.444504\n",
+ "Epoch: 80 [25600/60000 (43%)]\tLoss: 98.733566\n",
+ "Epoch: 80 [38400/60000 (64%)]\tLoss: 97.080246\n",
+ "Epoch: 80 [51200/60000 (85%)]\tLoss: 96.268433\n",
+ "====> Epoch: 80 Average loss: 100.6980\n",
+ "Epoch: 81 [0/60000 (0%)]\tLoss: 102.039368\n",
+ "Epoch: 81 [12800/60000 (21%)]\tLoss: 100.722595\n",
+ "Epoch: 81 [25600/60000 (43%)]\tLoss: 102.939087\n",
+ "Epoch: 81 [38400/60000 (64%)]\tLoss: 103.186958\n",
+ "Epoch: 81 [51200/60000 (85%)]\tLoss: 101.812508\n",
+ "====> Epoch: 81 Average loss: 100.6573\n",
+ "Epoch: 82 [0/60000 (0%)]\tLoss: 101.874763\n",
+ "Epoch: 82 [12800/60000 (21%)]\tLoss: 101.583061\n",
+ "Epoch: 82 [25600/60000 (43%)]\tLoss: 98.560364\n",
+ "Epoch: 82 [38400/60000 (64%)]\tLoss: 101.390511\n",
+ "Epoch: 82 [51200/60000 (85%)]\tLoss: 103.983704\n",
+ "====> Epoch: 82 Average loss: 100.6598\n",
+ "Epoch: 83 [0/60000 (0%)]\tLoss: 98.972076\n",
+ "Epoch: 83 [12800/60000 (21%)]\tLoss: 99.462265\n",
+ "Epoch: 83 [25600/60000 (43%)]\tLoss: 99.419525\n",
+ "Epoch: 83 [38400/60000 (64%)]\tLoss: 102.832993\n",
+ "Epoch: 83 [51200/60000 (85%)]\tLoss: 101.244293\n",
+ "====> Epoch: 83 Average loss: 100.6417\n",
+ "Epoch: 84 [0/60000 (0%)]\tLoss: 100.828178\n",
+ "Epoch: 84 [12800/60000 (21%)]\tLoss: 99.998947\n",
+ "Epoch: 84 [25600/60000 (43%)]\tLoss: 98.507980\n",
+ "Epoch: 84 [38400/60000 (64%)]\tLoss: 102.616043\n",
+ "Epoch: 84 [51200/60000 (85%)]\tLoss: 98.954857\n",
+ "====> Epoch: 84 Average loss: 100.5954\n",
+ "Epoch: 85 [0/60000 (0%)]\tLoss: 96.723473\n",
+ "Epoch: 85 [12800/60000 (21%)]\tLoss: 100.509109\n",
+ "Epoch: 85 [25600/60000 (43%)]\tLoss: 96.612366\n",
+ "Epoch: 85 [38400/60000 (64%)]\tLoss: 105.647804\n",
+ "Epoch: 85 [51200/60000 (85%)]\tLoss: 100.279877\n",
+ "====> Epoch: 85 Average loss: 100.6062\n",
+ "Epoch: 86 [0/60000 (0%)]\tLoss: 98.799255\n",
+ "Epoch: 86 [12800/60000 (21%)]\tLoss: 100.204048\n",
+ "Epoch: 86 [25600/60000 (43%)]\tLoss: 101.910820\n",
+ "Epoch: 86 [38400/60000 (64%)]\tLoss: 99.681335\n",
+ "Epoch: 86 [51200/60000 (85%)]\tLoss: 102.628632\n",
+ "====> Epoch: 86 Average loss: 100.6459\n",
+ "Epoch: 87 [0/60000 (0%)]\tLoss: 95.784790\n",
+ "Epoch: 87 [12800/60000 (21%)]\tLoss: 100.747154\n",
+ "Epoch: 87 [25600/60000 (43%)]\tLoss: 98.908287\n",
+ "Epoch: 87 [38400/60000 (64%)]\tLoss: 100.627426\n",
+ "Epoch: 87 [51200/60000 (85%)]\tLoss: 99.229851\n",
+ "====> Epoch: 87 Average loss: 100.5820\n",
+ "Epoch: 88 [0/60000 (0%)]\tLoss: 100.625336\n",
+ "Epoch: 88 [12800/60000 (21%)]\tLoss: 99.789856\n",
+ "Epoch: 88 [25600/60000 (43%)]\tLoss: 102.990891\n",
+ "Epoch: 88 [38400/60000 (64%)]\tLoss: 97.495468\n",
+ "Epoch: 88 [51200/60000 (85%)]\tLoss: 99.380417\n",
+ "====> Epoch: 88 Average loss: 100.5980\n",
+ "Epoch: 89 [0/60000 (0%)]\tLoss: 98.942841\n",
+ "Epoch: 89 [12800/60000 (21%)]\tLoss: 99.184143\n",
+ "Epoch: 89 [25600/60000 (43%)]\tLoss: 102.362801\n",
+ "Epoch: 89 [38400/60000 (64%)]\tLoss: 96.897888\n",
+ "Epoch: 89 [51200/60000 (85%)]\tLoss: 101.088898\n",
+ "====> Epoch: 89 Average loss: 100.5499\n",
+ "Epoch: 90 [0/60000 (0%)]\tLoss: 97.810944\n",
+ "Epoch: 90 [12800/60000 (21%)]\tLoss: 100.852631\n",
+ "Epoch: 90 [25600/60000 (43%)]\tLoss: 100.016174\n",
+ "Epoch: 90 [38400/60000 (64%)]\tLoss: 101.979668\n",
+ "Epoch: 90 [51200/60000 (85%)]\tLoss: 104.164368\n",
+ "====> Epoch: 90 Average loss: 100.5097\n",
+ "Epoch: 91 [0/60000 (0%)]\tLoss: 105.043304\n",
+ "Epoch: 91 [12800/60000 (21%)]\tLoss: 97.881287\n",
+ "Epoch: 91 [25600/60000 (43%)]\tLoss: 101.020409\n",
+ "Epoch: 91 [38400/60000 (64%)]\tLoss: 103.239403\n",
+ "Epoch: 91 [51200/60000 (85%)]\tLoss: 98.452148\n",
+ "====> Epoch: 91 Average loss: 100.5046\n",
+ "Epoch: 92 [0/60000 (0%)]\tLoss: 99.711960\n",
+ "Epoch: 92 [12800/60000 (21%)]\tLoss: 102.379257\n",
+ "Epoch: 92 [25600/60000 (43%)]\tLoss: 101.612442\n",
+ "Epoch: 92 [38400/60000 (64%)]\tLoss: 98.712074\n",
+ "Epoch: 92 [51200/60000 (85%)]\tLoss: 97.742958\n",
+ "====> Epoch: 92 Average loss: 100.5215\n",
+ "Epoch: 93 [0/60000 (0%)]\tLoss: 100.111176\n",
+ "Epoch: 93 [12800/60000 (21%)]\tLoss: 98.022171\n",
+ "Epoch: 93 [25600/60000 (43%)]\tLoss: 96.699966\n",
+ "Epoch: 93 [38400/60000 (64%)]\tLoss: 101.196182\n",
+ "Epoch: 93 [51200/60000 (85%)]\tLoss: 99.867493\n",
+ "====> Epoch: 93 Average loss: 100.4568\n",
+ "Epoch: 94 [0/60000 (0%)]\tLoss: 98.635681\n",
+ "Epoch: 94 [12800/60000 (21%)]\tLoss: 100.727951\n",
+ "Epoch: 94 [25600/60000 (43%)]\tLoss: 98.633469\n",
+ "Epoch: 94 [38400/60000 (64%)]\tLoss: 103.695312\n",
+ "Epoch: 94 [51200/60000 (85%)]\tLoss: 99.162354\n",
+ "====> Epoch: 94 Average loss: 100.4763\n",
+ "Epoch: 95 [0/60000 (0%)]\tLoss: 97.191025\n",
+ "Epoch: 95 [12800/60000 (21%)]\tLoss: 101.247940\n",
+ "Epoch: 95 [25600/60000 (43%)]\tLoss: 101.267860\n",
+ "Epoch: 95 [38400/60000 (64%)]\tLoss: 103.783745\n",
+ "Epoch: 95 [51200/60000 (85%)]\tLoss: 99.740700\n",
+ "====> Epoch: 95 Average loss: 100.4293\n",
+ "Epoch: 96 [0/60000 (0%)]\tLoss: 99.584808\n",
+ "Epoch: 96 [12800/60000 (21%)]\tLoss: 102.944405\n",
+ "Epoch: 96 [25600/60000 (43%)]\tLoss: 96.113808\n",
+ "Epoch: 96 [38400/60000 (64%)]\tLoss: 100.953224\n",
+ "Epoch: 96 [51200/60000 (85%)]\tLoss: 100.487480\n",
+ "====> Epoch: 96 Average loss: 100.4043\n",
+ "Epoch: 97 [0/60000 (0%)]\tLoss: 100.142372\n",
+ "Epoch: 97 [12800/60000 (21%)]\tLoss: 103.993904\n",
+ "Epoch: 97 [25600/60000 (43%)]\tLoss: 101.304787\n",
+ "Epoch: 97 [38400/60000 (64%)]\tLoss: 100.174980\n",
+ "Epoch: 97 [51200/60000 (85%)]\tLoss: 99.902817\n",
+ "====> Epoch: 97 Average loss: 100.3921\n",
+ "Epoch: 98 [0/60000 (0%)]\tLoss: 104.059662\n",
+ "Epoch: 98 [12800/60000 (21%)]\tLoss: 101.341293\n",
+ "Epoch: 98 [25600/60000 (43%)]\tLoss: 97.952606\n",
+ "Epoch: 98 [38400/60000 (64%)]\tLoss: 99.331505\n",
+ "Epoch: 98 [51200/60000 (85%)]\tLoss: 102.683739\n",
+ "====> Epoch: 98 Average loss: 100.3686\n",
+ "Epoch: 99 [0/60000 (0%)]\tLoss: 98.836754\n",
+ "Epoch: 99 [12800/60000 (21%)]\tLoss: 100.827698\n",
+ "Epoch: 99 [25600/60000 (43%)]\tLoss: 100.198311\n",
+ "Epoch: 99 [38400/60000 (64%)]\tLoss: 101.658676\n",
+ "Epoch: 99 [51200/60000 (85%)]\tLoss: 103.183029\n",
+ "====> Epoch: 99 Average loss: 100.3835\n"
+ ]
+ }
+ ],
+ "source": [
+ "num_epochs = 100\n",
+ "model.train()\n",
+ "for epoch in range(num_epochs):\n",
+ " train_loss = 0\n",
+ " for batch_idx, (data, _) in enumerate(train_loader):\n",
+ " # Перемещение данных на устройство (GPU или CPU)\n",
+ " data = data.to(device)\n",
+ " # Обнуление градиентов\n",
+ " optimizer.zero_grad()\n",
+ " # Прямой проход: вычисление реконструкции, mu и logvar\n",
+ " recon_batch, mu, logvar = model(data)\n",
+ " # Вычисление функции потерь\n",
+ " loss = loss_function(recon_batch, data, mu, logvar)\n",
+ " # Обратное распространение и шаг оптимизатора\n",
+ " loss.backward()\n",
+ " optimizer.step()\n",
+ " \n",
+ " # Обновление общего loss\n",
+ " train_loss += loss.item()\n",
+ " \n",
+ " # Логирование каждые 100 батчей\n",
+ " if batch_idx % 100 == 0:\n",
+ " print(f'Epoch: {epoch} [{batch_idx * len(data)}/{len(train_loader.dataset)} '\n",
+ " f'({100. * batch_idx / len(train_loader):.0f}%)]\\tLoss: {loss.item() / len(data):.6f}')\n",
+ " \n",
+ " # Логирование средней потери за эпоху\n",
+ " print(f'====> Epoch: {epoch} Average loss: {train_loss / len(train_loader.dataset):.4f}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "NhmTGz8q9oTQ"
+ },
+ "source": [
+ "### Рнференс (генерация)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "hltHYvEu-hgh"
+ },
+ "source": [
+ "#### Восстановление входных данных"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 94,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 359
+ },
+ "id": "-8LatwOW-Sgv",
+ "outputId": "1c7b5f01-8c15-455f-d61c-03b2cee5a7ec"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ "<Figure size 1600x400 with 16 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Определите то же преобразование, что и во время обучения\n",
+ "transform = transforms.Compose([\n",
+ " transforms.ToTensor(),\n",
+ " transforms.Lambda(lambda x: x.view(-1)) # Сплющите изображение (28x28 -> 784)\n",
+ "])\n",
+ "\n",
+ "# Загрузите тестовый набор данных MNIST\n",
+ "mnist_test = dset.MNIST(root='./data', train=False, transform=transform, download=True)\n",
+ "test_loader = torch.utils.data.DataLoader(mnist_test, batch_size=16, shuffle=True)\n",
+ "\n",
+ "model.eval() # Переведите модель в режим оценки\n",
+ "\n",
+ "# ---- Визуализация: Реконструкция тестовых изображений ----\n",
+ "# Получите партию тестовых изображений\n",
+ "data_iter = iter(test_loader)\n",
+ "images, _ = next(data_iter)\n",
+ "images = images.to(device)\n",
+ "\n",
+ "with torch.no_grad():\n",
+ " recon_images, mu, logvar = model(images)\n",
+ "\n",
+ "# Функция построения графика исходного и реконструированного изображений\n",
+ "def plot_images(original, reconstructed, n=8):\n",
+ " plt.figure(figsize=(16, 4))\n",
+ " for i in range(n):\n",
+ " # Оригинальные изображения\n",
+ " plt.subplot(2, n, i+1)\n",
+ " plt.imshow(original[i].cpu().view(28, 28), cmap='gray')\n",
+ " plt.title(\"Original\")\n",
+ " plt.axis(\"off\")\n",
+ " # Реконструированные изображения\n",
+ " plt.subplot(2, n, i+n+1)\n",
+ " plt.imshow(reconstructed[i].cpu().view(28, 28), cmap='gray')\n",
+ " plt.title(\"Reconstructed\")\n",
+ " plt.axis(\"off\")\n",
+ " plt.show()\n",
+ "\n",
+ "plot_images(images, recon_images, n=8)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "DNfpu8x__BcH"
+ },
+ "source": [
+ "#### Генерация новых изображений"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 98,
+ "metadata": {
+ "id": "IPDW7Ank_Ai-"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 800x800 with 64 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Генерация новых изображений\n",
+ "with torch.no_grad():\n",
+ " # Выборка латентных векторов z из стандартного нормального распределения\n",
+ " z = torch.randn(64, 20).to(device) # 64 образца случайного шума, каждый размерности latent_dim\n",
+ " generated_images = model.decoder(z).cpu() # Перемещаем данные на CPU для визуализации\n",
+ "\n",
+ "# Функция для отображения сгенерированных изображений\n",
+ "def plot_generated(images):\n",
+ " fig, axes = plt.subplots(8, 8, figsize=(8, 8))\n",
+ " for i, ax in enumerate(axes.flat):\n",
+ " img = images[i].view(28, 28).numpy() # Преобразуем тензор в изображение 28x28\n",
+ " ax.imshow(img, cmap=\"gray\")\n",
+ " ax.axis(\"off\")\n",
+ " plt.tight_layout()\n",
+ " plt.show()\n",
+ "\n",
+ "# Визуализация сгенерированных изображений\n",
+ "plot_generated(generated_images)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "LPldM_K9IEQL"
+ },
+ "source": [
+ "## Conditional VAE"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "nT2EKsBlwI-7"
+ },
+ "source": [
+ "Как вы могли заметить, получившаяся модель а) генерирует изображения случайных классов из нашего датасета б) не очень высокого качества. Попробуем что-то с этим сделать. Для начала научим нашу модель генерировать изображения заданного класса. Такая генерация называется условной (conditional generation)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "Chv9ZEEiFv2I"
+ },
+ "source": [
+ "### Определение условного энкодера"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "EuCCu5LTw9LL"
+ },
+ "source": [
+ "Чтобы придать энкодеру возможность работы с метками классов, необходимо добавить (сконкатенировать) эти самые метки с вектором входных данных. Чтобы модель могла эти метки нормально воспринять, их нужно закодировать методом one-hot кодирования (one-hot encoding), позволяющим переводить категориальные данные в численные. При количестве классов 10 каждая метка будет превращаться в вектор такой же длины. Соответственно, вам нужно учесть это дополнение при описании входного слоя модели.\n",
+ "\n",
+ "Архитектуру энкодера и декодера можете использовать аналогичную vanilla VAE."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Входные данные x (размерности input_dim) и one-hot кодированные метки классов c (размерности condition_dim) объединяются по второму измерению (dim=1)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {
+ "id": "FKJKC5ECIG41"
+ },
+ "outputs": [],
+ "source": [
+ "class ConditionalEncoder(nn.Module):\n",
+ " def __init__(self, input_dim=784, condition_dim=10, hidden_dim=400, latent_dim=20):\n",
+ " super(ConditionalEncoder, self).__init__()\n",
+ " # Скрытый слой: входной размер = input_dim + condition_dim (784 + 10)\n",
+ " self.fc1 = nn.Linear(input_dim + condition_dim, hidden_dim)\n",
+ " self.fc_mu = nn.Linear(hidden_dim, latent_dim)\n",
+ " self.fc_logvar = nn.Linear(hidden_dim, latent_dim)\n",
+ " \n",
+ " def forward(self, x, c):\n",
+ " # Конкатенация входных данных и one-hot кодированных меток классов\n",
+ " x_cond = torch.cat([x, c], dim=1)\n",
+ " h = F.relu(self.fc1(x_cond))\n",
+ " mu = self.fc_mu(h)\n",
+ " logvar = self.fc_logvar(h)\n",
+ " \n",
+ " return mu, logvar"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "Foq4VqpXF2GF"
+ },
+ "source": [
+ "### Определение условного декодера"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "F8mDqFjTy1KJ"
+ },
+ "source": [
+ "С декодером необходимо проделать аналогичные преобразования - добавить возможность подавать на вход вместе с шумом вектор метки класса, чтобы получить ту самую условную генерацию."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {
+ "id": "5q_Ff3EtIKKM"
+ },
+ "outputs": [],
+ "source": [
+ "class ConditionalDecoder(nn.Module):\n",
+ " def __init__(self, latent_dim=20, condition_dim=10, hidden_dim=400, output_dim=784):\n",
+ " super(ConditionalDecoder, self).__init__()\n",
+ " \n",
+ " # Скрытый слой: входной размер = latent_dim + condition_dim (20 + 10)\n",
+ " self.fc1 = nn.Linear(latent_dim + condition_dim, hidden_dim)\n",
+ " self.fc2 = nn.Linear(hidden_dim, output_dim)\n",
+ " \n",
+ " def forward(self, z, c):\n",
+ " z_cond = torch.cat([z, c], dim=1)\n",
+ " h = F.relu(self.fc1(z_cond))\n",
+ " x_recon = torch.sigmoid(self.fc2(h))\n",
+ " \n",
+ " return x_recon"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "9U4QrYYdF5uJ"
+ },
+ "source": [
+ "### Собираем Conditional VAE воедино"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {
+ "id": "dE5nq96oILd2"
+ },
+ "outputs": [],
+ "source": [
+ "class ConditionalVAE(nn.Module):\n",
+ " def __init__(self, input_dim=784, condition_dim=10, hidden_dim=400, latent_dim=50):\n",
+ " super(ConditionalVAE, self).__init__()\n",
+ " self.encoder = ConditionalEncoder(input_dim, condition_dim, hidden_dim, latent_dim)\n",
+ " self.decoder = ConditionalDecoder(latent_dim, condition_dim, hidden_dim, input_dim)\n",
+ "\n",
+ " def reparameterize(self, mu, logvar):\n",
+ " # Вычисление стандартного отклонения\n",
+ " std = torch.exp(0.5 * logvar)\n",
+ " # Сэмплирование шума из стандартного нормального распределения\n",
+ " epsilon = torch.randn_like(std) \n",
+ " # Репараметризационный трюк\n",
+ " z = mu + epsilon * std\n",
+ " return z\n",
+ "\n",
+ " def forward(self, x, c):\n",
+ " # Вызов энкодера для вычисления mu и logvar\n",
+ " mu, logvar = self.encoder(x, c)\n",
+ " # Вычисление латентного вектора z через репараметризацию\n",
+ " z = self.reparameterize(mu, logvar)\n",
+ " # Вызов декодера для вычисления реконструированного изображения\n",
+ " x_recon = self.decoder(z, c)\n",
+ " \n",
+ " return x_recon, mu, logvar"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "HOvUUsdl4WNy"
+ },
+ "source": [
+ "Функцию ошибки заново определять не нужно."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "bDwCWob5F9tk"
+ },
+ "source": [
+ "### Обучение"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {
+ "id": "odzA_NErJb-M"
+ },
+ "outputs": [],
+ "source": [
+ "batch_size = 128\n",
+ "transform = transforms.Compose([\n",
+ " transforms.ToTensor(),\n",
+ " transforms.Lambda(lambda x: x.view(-1))\n",
+ "])\n",
+ "\n",
+ "train_dataset = dset.MNIST(root='./data', train=True, download=True, transform=transform)\n",
+ "test_dataset = dset.MNIST(root='./data', train=False, download=True, transform=transform)\n",
+ "\n",
+ "train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True)\n",
+ "test_loader = DataLoader(test_dataset, batch_size=batch_size, shuffle=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {
+ "id": "JZzTjd_3JlpI"
+ },
+ "outputs": [],
+ "source": [
+ "hidden_dim = 400 # размерность скрытого слоя\n",
+ "latent_dim = 20 # размерность латентного пространства\n",
+ "\n",
+ "# Рнициализируйте модель VAE, оптимизатор Рё используемое устройство\n",
+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+ "model = ConditionalVAE(input_dim=784, condition_dim=10, hidden_dim=hidden_dim, latent_dim=latent_dim).to(device)\n",
+ "optimizer = optim.Adam(model.parameters(), lr=1e-3)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
+ "colab": {
+ "background_save": true,
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "TUI0MfTIJqlt",
+ "outputId": "eb053ee5-e3aa-4d56-a1ed-b53947c8875e"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 0%| | 0/30 [00:00<?, ?it/s]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch: 1 [0/60000 (0%)]\tLoss: 549.563049\n",
+ "Epoch: 1 [12800/60000 (21%)]\tLoss: 188.348251\n",
+ "Epoch: 1 [25600/60000 (43%)]\tLoss: 149.864639\n",
+ "Epoch: 1 [38400/60000 (64%)]\tLoss: 140.625748\n",
+ "Epoch: 1 [51200/60000 (85%)]\tLoss: 127.541634\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 3%|в–Ћ | 1/30 [00:02<01:05, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 1 Average loss: 164.1680\n",
+ "Epoch: 2 [0/60000 (0%)]\tLoss: 122.617470\n",
+ "Epoch: 2 [12800/60000 (21%)]\tLoss: 125.550758\n",
+ "Epoch: 2 [25600/60000 (43%)]\tLoss: 120.014359\n",
+ "Epoch: 2 [38400/60000 (64%)]\tLoss: 120.541824\n",
+ "Epoch: 2 [51200/60000 (85%)]\tLoss: 109.542740\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 7%|в–‹ | 2/30 [00:04<01:02, 2.25s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 2 Average loss: 120.1393\n",
+ "Epoch: 3 [0/60000 (0%)]\tLoss: 109.513794\n",
+ "Epoch: 3 [12800/60000 (21%)]\tLoss: 114.942963\n",
+ "Epoch: 3 [25600/60000 (43%)]\tLoss: 114.155266\n",
+ "Epoch: 3 [38400/60000 (64%)]\tLoss: 116.760612\n",
+ "Epoch: 3 [51200/60000 (85%)]\tLoss: 110.175034\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 10%|в–€ | 3/30 [00:06<01:00, 2.25s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 3 Average loss: 112.8297\n",
+ "Epoch: 4 [0/60000 (0%)]\tLoss: 113.407585\n",
+ "Epoch: 4 [12800/60000 (21%)]\tLoss: 111.711494\n",
+ "Epoch: 4 [25600/60000 (43%)]\tLoss: 111.759827\n",
+ "Epoch: 4 [38400/60000 (64%)]\tLoss: 112.052155\n",
+ "Epoch: 4 [51200/60000 (85%)]\tLoss: 106.049911\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 13%|в–€в–Ћ | 4/30 [00:09<00:58, 2.25s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 4 Average loss: 109.3544\n",
+ "Epoch: 5 [0/60000 (0%)]\tLoss: 112.903976\n",
+ "Epoch: 5 [12800/60000 (21%)]\tLoss: 113.074615\n",
+ "Epoch: 5 [25600/60000 (43%)]\tLoss: 103.407890\n",
+ "Epoch: 5 [38400/60000 (64%)]\tLoss: 106.438499\n",
+ "Epoch: 5 [51200/60000 (85%)]\tLoss: 106.996498\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 17%|в–€в–‹ | 5/30 [00:11<00:56, 2.25s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 5 Average loss: 107.1930\n",
+ "Epoch: 6 [0/60000 (0%)]\tLoss: 106.840927\n",
+ "Epoch: 6 [12800/60000 (21%)]\tLoss: 114.029816\n",
+ "Epoch: 6 [25600/60000 (43%)]\tLoss: 104.280930\n",
+ "Epoch: 6 [38400/60000 (64%)]\tLoss: 106.559662\n",
+ "Epoch: 6 [51200/60000 (85%)]\tLoss: 107.973000\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 20%|в–€в–€ | 6/30 [00:13<00:53, 2.25s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 6 Average loss: 105.7013\n",
+ "Epoch: 7 [0/60000 (0%)]\tLoss: 105.619965\n",
+ "Epoch: 7 [12800/60000 (21%)]\tLoss: 105.349190\n",
+ "Epoch: 7 [25600/60000 (43%)]\tLoss: 103.810585\n",
+ "Epoch: 7 [38400/60000 (64%)]\tLoss: 105.320427\n",
+ "Epoch: 7 [51200/60000 (85%)]\tLoss: 108.909103\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 23%|в–€в–€в–Ћ | 7/30 [00:15<00:51, 2.25s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 7 Average loss: 104.6138\n",
+ "Epoch: 8 [0/60000 (0%)]\tLoss: 104.501190\n",
+ "Epoch: 8 [12800/60000 (21%)]\tLoss: 109.511459\n",
+ "Epoch: 8 [25600/60000 (43%)]\tLoss: 107.827835\n",
+ "Epoch: 8 [38400/60000 (64%)]\tLoss: 106.837326\n",
+ "Epoch: 8 [51200/60000 (85%)]\tLoss: 107.360947\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 27%|в–€в–€в–‹ | 8/30 [00:18<00:49, 2.25s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 8 Average loss: 103.7588\n",
+ "Epoch: 9 [0/60000 (0%)]\tLoss: 101.072990\n",
+ "Epoch: 9 [12800/60000 (21%)]\tLoss: 105.004021\n",
+ "Epoch: 9 [25600/60000 (43%)]\tLoss: 101.206490\n",
+ "Epoch: 9 [38400/60000 (64%)]\tLoss: 101.815018\n",
+ "Epoch: 9 [51200/60000 (85%)]\tLoss: 103.030907\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 30%|в–€в–€в–€ | 9/30 [00:20<00:47, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 9 Average loss: 103.1104\n",
+ "Epoch: 10 [0/60000 (0%)]\tLoss: 102.978104\n",
+ "Epoch: 10 [12800/60000 (21%)]\tLoss: 100.137123\n",
+ "Epoch: 10 [25600/60000 (43%)]\tLoss: 100.781738\n",
+ "Epoch: 10 [38400/60000 (64%)]\tLoss: 102.852997\n",
+ "Epoch: 10 [51200/60000 (85%)]\tLoss: 102.437668\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 33%|в–€в–€в–€в–Ћ | 10/30 [00:22<00:45, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 10 Average loss: 102.5794\n",
+ "Epoch: 11 [0/60000 (0%)]\tLoss: 102.476288\n",
+ "Epoch: 11 [12800/60000 (21%)]\tLoss: 106.508667\n",
+ "Epoch: 11 [25600/60000 (43%)]\tLoss: 104.217804\n",
+ "Epoch: 11 [38400/60000 (64%)]\tLoss: 103.872635\n",
+ "Epoch: 11 [51200/60000 (85%)]\tLoss: 95.690430\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 37%|в–€в–€в–€в–‹ | 11/30 [00:24<00:42, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 11 Average loss: 102.1054\n",
+ "Epoch: 12 [0/60000 (0%)]\tLoss: 105.937798\n",
+ "Epoch: 12 [12800/60000 (21%)]\tLoss: 102.915817\n",
+ "Epoch: 12 [25600/60000 (43%)]\tLoss: 98.364388\n",
+ "Epoch: 12 [38400/60000 (64%)]\tLoss: 103.695374\n",
+ "Epoch: 12 [51200/60000 (85%)]\tLoss: 102.544426\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 40%|в–€в–€в–€в–€ | 12/30 [00:27<00:40, 2.27s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 12 Average loss: 101.6483\n",
+ "Epoch: 13 [0/60000 (0%)]\tLoss: 101.848969\n",
+ "Epoch: 13 [12800/60000 (21%)]\tLoss: 102.807602\n",
+ "Epoch: 13 [25600/60000 (43%)]\tLoss: 104.270111\n",
+ "Epoch: 13 [38400/60000 (64%)]\tLoss: 99.365311\n",
+ "Epoch: 13 [51200/60000 (85%)]\tLoss: 102.870438\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 43%|в–€в–€в–€в–€в–Ћ | 13/30 [00:29<00:38, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 13 Average loss: 101.2923\n",
+ "Epoch: 14 [0/60000 (0%)]\tLoss: 100.362862\n",
+ "Epoch: 14 [12800/60000 (21%)]\tLoss: 106.507309\n",
+ "Epoch: 14 [25600/60000 (43%)]\tLoss: 99.074242\n",
+ "Epoch: 14 [38400/60000 (64%)]\tLoss: 99.095963\n",
+ "Epoch: 14 [51200/60000 (85%)]\tLoss: 102.375870\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 47%|в–€в–€в–€в–€в–‹ | 14/30 [00:31<00:36, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 14 Average loss: 101.0438\n",
+ "Epoch: 15 [0/60000 (0%)]\tLoss: 98.988541\n",
+ "Epoch: 15 [12800/60000 (21%)]\tLoss: 100.150879\n",
+ "Epoch: 15 [25600/60000 (43%)]\tLoss: 103.380234\n",
+ "Epoch: 15 [38400/60000 (64%)]\tLoss: 99.271828\n",
+ "Epoch: 15 [51200/60000 (85%)]\tLoss: 100.825211\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 50%|в–€в–€в–€в–€в–€ | 15/30 [00:33<00:33, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 15 Average loss: 100.7511\n",
+ "Epoch: 16 [0/60000 (0%)]\tLoss: 98.160553\n",
+ "Epoch: 16 [12800/60000 (21%)]\tLoss: 95.857758\n",
+ "Epoch: 16 [25600/60000 (43%)]\tLoss: 102.698387\n",
+ "Epoch: 16 [38400/60000 (64%)]\tLoss: 102.270042\n",
+ "Epoch: 16 [51200/60000 (85%)]\tLoss: 101.779106\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 53%|в–€в–€в–€в–€в–€в–Ћ | 16/30 [00:36<00:31, 2.27s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 16 Average loss: 100.4885\n",
+ "Epoch: 17 [0/60000 (0%)]\tLoss: 97.436203\n",
+ "Epoch: 17 [12800/60000 (21%)]\tLoss: 101.474838\n",
+ "Epoch: 17 [25600/60000 (43%)]\tLoss: 94.146988\n",
+ "Epoch: 17 [38400/60000 (64%)]\tLoss: 100.774300\n",
+ "Epoch: 17 [51200/60000 (85%)]\tLoss: 102.338982\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 57%|в–€в–€в–€в–€в–€в–‹ | 17/30 [00:38<00:29, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 17 Average loss: 100.2141\n",
+ "Epoch: 18 [0/60000 (0%)]\tLoss: 97.651588\n",
+ "Epoch: 18 [12800/60000 (21%)]\tLoss: 101.018456\n",
+ "Epoch: 18 [25600/60000 (43%)]\tLoss: 98.710449\n",
+ "Epoch: 18 [38400/60000 (64%)]\tLoss: 95.564774\n",
+ "Epoch: 18 [51200/60000 (85%)]\tLoss: 99.581093\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 60%|в–€в–€в–€в–€в–€в–€ | 18/30 [00:40<00:27, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 18 Average loss: 100.0452\n",
+ "Epoch: 19 [0/60000 (0%)]\tLoss: 97.785660\n",
+ "Epoch: 19 [12800/60000 (21%)]\tLoss: 100.572395\n",
+ "Epoch: 19 [25600/60000 (43%)]\tLoss: 99.792343\n",
+ "Epoch: 19 [38400/60000 (64%)]\tLoss: 95.474083\n",
+ "Epoch: 19 [51200/60000 (85%)]\tLoss: 97.410194\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 63%|в–€в–€в–€в–€в–€в–€в–Ћ | 19/30 [00:42<00:24, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 19 Average loss: 99.8407\n",
+ "Epoch: 20 [0/60000 (0%)]\tLoss: 101.051407\n",
+ "Epoch: 20 [12800/60000 (21%)]\tLoss: 101.519073\n",
+ "Epoch: 20 [25600/60000 (43%)]\tLoss: 102.828484\n",
+ "Epoch: 20 [38400/60000 (64%)]\tLoss: 98.880844\n",
+ "Epoch: 20 [51200/60000 (85%)]\tLoss: 101.329514\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 67%|в–€в–€в–€в–€в–€в–€в–‹ | 20/30 [00:45<00:22, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 20 Average loss: 99.6334\n",
+ "Epoch: 21 [0/60000 (0%)]\tLoss: 102.571632\n",
+ "Epoch: 21 [12800/60000 (21%)]\tLoss: 97.082535\n",
+ "Epoch: 21 [25600/60000 (43%)]\tLoss: 99.947800\n",
+ "Epoch: 21 [38400/60000 (64%)]\tLoss: 97.810013\n",
+ "Epoch: 21 [51200/60000 (85%)]\tLoss: 95.911095\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 70%|в–€в–€в–€в–€в–€в–€в–€ | 21/30 [00:47<00:20, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 21 Average loss: 99.5254\n",
+ "Epoch: 22 [0/60000 (0%)]\tLoss: 100.546745\n",
+ "Epoch: 22 [12800/60000 (21%)]\tLoss: 99.031517\n",
+ "Epoch: 22 [25600/60000 (43%)]\tLoss: 97.617218\n",
+ "Epoch: 22 [38400/60000 (64%)]\tLoss: 96.388718\n",
+ "Epoch: 22 [51200/60000 (85%)]\tLoss: 100.235779\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 73%|в–€в–€в–€в–€в–€в–€в–€в–Ћ | 22/30 [00:49<00:18, 2.27s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 22 Average loss: 99.3788\n",
+ "Epoch: 23 [0/60000 (0%)]\tLoss: 98.331512\n",
+ "Epoch: 23 [12800/60000 (21%)]\tLoss: 102.775162\n",
+ "Epoch: 23 [25600/60000 (43%)]\tLoss: 95.902542\n",
+ "Epoch: 23 [38400/60000 (64%)]\tLoss: 101.288429\n",
+ "Epoch: 23 [51200/60000 (85%)]\tLoss: 95.920555\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 77%|в–€в–€в–€в–€в–€в–€в–€в–‹ | 23/30 [00:51<00:15, 2.27s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 23 Average loss: 99.2192\n",
+ "Epoch: 24 [0/60000 (0%)]\tLoss: 96.832504\n",
+ "Epoch: 24 [12800/60000 (21%)]\tLoss: 99.333656\n",
+ "Epoch: 24 [25600/60000 (43%)]\tLoss: 99.110229\n",
+ "Epoch: 24 [38400/60000 (64%)]\tLoss: 104.356766\n",
+ "Epoch: 24 [51200/60000 (85%)]\tLoss: 96.075256\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 80%|в–€в–€в–€в–€в–€в–€в–€в–€ | 24/30 [00:54<00:13, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 24 Average loss: 99.0846\n",
+ "Epoch: 25 [0/60000 (0%)]\tLoss: 100.232727\n",
+ "Epoch: 25 [12800/60000 (21%)]\tLoss: 96.640984\n",
+ "Epoch: 25 [25600/60000 (43%)]\tLoss: 97.441620\n",
+ "Epoch: 25 [38400/60000 (64%)]\tLoss: 101.601746\n",
+ "Epoch: 25 [51200/60000 (85%)]\tLoss: 97.088226\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 83%|в–€в–€в–€в–€в–€в–€в–€в–€в–Ћ | 25/30 [00:56<00:11, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 25 Average loss: 98.9884\n",
+ "Epoch: 26 [0/60000 (0%)]\tLoss: 99.247871\n",
+ "Epoch: 26 [12800/60000 (21%)]\tLoss: 102.226250\n",
+ "Epoch: 26 [25600/60000 (43%)]\tLoss: 102.365028\n",
+ "Epoch: 26 [38400/60000 (64%)]\tLoss: 103.282646\n",
+ "Epoch: 26 [51200/60000 (85%)]\tLoss: 99.636436\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 87%|в–€в–€в–€в–€в–€в–€в–€в–€в–‹ | 26/30 [00:58<00:09, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 26 Average loss: 98.8437\n",
+ "Epoch: 27 [0/60000 (0%)]\tLoss: 100.511948\n",
+ "Epoch: 27 [12800/60000 (21%)]\tLoss: 97.398621\n",
+ "Epoch: 27 [25600/60000 (43%)]\tLoss: 102.946777\n",
+ "Epoch: 27 [38400/60000 (64%)]\tLoss: 96.085365\n",
+ "Epoch: 27 [51200/60000 (85%)]\tLoss: 98.727005\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 90%|в–€в–€в–€в–€в–€в–€в–€в–€в–€ | 27/30 [01:01<00:06, 2.27s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 27 Average loss: 98.7591\n",
+ "Epoch: 28 [0/60000 (0%)]\tLoss: 101.282333\n",
+ "Epoch: 28 [12800/60000 (21%)]\tLoss: 98.471382\n",
+ "Epoch: 28 [25600/60000 (43%)]\tLoss: 99.011581\n",
+ "Epoch: 28 [38400/60000 (64%)]\tLoss: 95.367340\n",
+ "Epoch: 28 [51200/60000 (85%)]\tLoss: 92.219170\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 93%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ћ| 28/30 [01:03<00:04, 2.27s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 28 Average loss: 98.6080\n",
+ "Epoch: 29 [0/60000 (0%)]\tLoss: 96.821388\n",
+ "Epoch: 29 [12800/60000 (21%)]\tLoss: 99.905434\n",
+ "Epoch: 29 [25600/60000 (43%)]\tLoss: 99.613571\n",
+ "Epoch: 29 [38400/60000 (64%)]\tLoss: 95.589432\n",
+ "Epoch: 29 [51200/60000 (85%)]\tLoss: 97.792358\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 97%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–‹| 29/30 [01:05<00:02, 2.28s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 29 Average loss: 98.5337\n",
+ "Epoch: 30 [0/60000 (0%)]\tLoss: 97.971855\n",
+ "Epoch: 30 [12800/60000 (21%)]\tLoss: 95.975723\n",
+ "Epoch: 30 [25600/60000 (43%)]\tLoss: 97.619514\n",
+ "Epoch: 30 [38400/60000 (64%)]\tLoss: 101.102829\n",
+ "Epoch: 30 [51200/60000 (85%)]\tLoss: 96.871719\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "100%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–€| 30/30 [01:07<00:00, 2.26s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 30 Average loss: 98.4290\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "num_epochs = 30\n",
+ "model.train()\n",
+ "for epoch in tqdm(range(1, num_epochs + 1)):\n",
+ " train_loss = 0\n",
+ " for batch_idx, (data, labels) in enumerate(train_loader):\n",
+ " # Перемещение данных и меток на устройство (GPU или CPU)\n",
+ " data = data.to(device)\n",
+ " labels = labels.to(device)\n",
+ " \n",
+ " # One-hot кодирование меток классов\n",
+ " c = F.one_hot(labels, num_classes=10).float().to(device)\n",
+ " \n",
+ " # Обнуление градиентов\n",
+ " optimizer.zero_grad()\n",
+ " \n",
+ " # Прямой проход: вычисление реконструкции, mu и logvar\n",
+ " recon_batch, mu, logvar = model(data, c)\n",
+ " \n",
+ " # Вычисление функции потерь\n",
+ " loss = loss_function(recon_batch, data, mu, logvar)\n",
+ " \n",
+ " # Обратное распространение и шаг оптимизатора\n",
+ " loss.backward()\n",
+ " optimizer.step()\n",
+ " \n",
+ " # Обновление общего loss\n",
+ " train_loss += loss.item()\n",
+ " \n",
+ " # Логирование каждые 100 батчей\n",
+ " if batch_idx % 100 == 0:\n",
+ " print(f'Epoch: {epoch} [{batch_idx * len(data)}/{len(train_loader.dataset)} '\n",
+ " f'({100. * batch_idx / len(train_loader):.0f}%)]\\tLoss: {loss.item() / len(data):.6f}')\n",
+ " \n",
+ " # Логирование средней потери за эпоху\n",
+ " print(f'====> Epoch: {epoch} Average loss: {train_loss / len(train_loader.dataset):.4f}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "bi-p2073GA2e"
+ },
+ "source": [
+ "### Восстановление изображений"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {
+ "id": "jvfTFwzKKCru"
+ },
+ "outputs": [
+ {
+ "data": {
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+ "text/plain": [
+ "<Figure size 1600x400 with 16 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# Загрузка одного батча тестовых данных\n",
+ "data_iter = iter(test_loader)\n",
+ "images, labels = next(data_iter)\n",
+ "images = images.to(device)\n",
+ "labels = labels.to(device)\n",
+ "\n",
+ "# Преобразование меток в one-hot кодировку\n",
+ "conditions = F.one_hot(labels, num_classes=10).float().to(device)\n",
+ "\n",
+ "# Реконструкция изображений с помощью модели\n",
+ "with torch.no_grad():\n",
+ " recon_images, mu, logvar = model(images, conditions)\n",
+ "\n",
+ "# Функция для отображения оригинальных и реконструированных изображений\n",
+ "def plot_images(original, reconstructed, conditions, n=8):\n",
+ " labels = conditions.argmax(dim=1) # Преобразуем one-hot обратно в метки классов\n",
+ " plt.figure(figsize=(16, 4))\n",
+ " for i in range(n):\n",
+ " # Оригинальное изображение\n",
+ " plt.subplot(2, n, i + 1)\n",
+ " plt.imshow(original[i].cpu().view(28, 28), cmap='gray')\n",
+ " plt.title(f\"Original\\nLabel: {labels[i].item()}\")\n",
+ " plt.axis(\"off\")\n",
+ " \n",
+ " # Реконструированное изображение\n",
+ " plt.subplot(2, n, i + n + 1)\n",
+ " plt.imshow(reconstructed[i].cpu().view(28, 28), cmap='gray')\n",
+ " plt.title(f\"Reconstructed\\nLabel: {labels[i].item()}\")\n",
+ " plt.axis(\"off\")\n",
+ " plt.tight_layout()\n",
+ " plt.show()\n",
+ "\n",
+ "# Визуализация\n",
+ "plot_images(images, recon_images, conditions, n=8)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "qSLlsxSIGE63"
+ },
+ "source": [
+ "### Сэмплирование новых изображений"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {
+ "id": "7tTv7Z1LKIpY"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 800x800 with 64 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "latent_dim = 20\n",
+ "\n",
+ "# Генерация новых изображений\n",
+ "with torch.no_grad():\n",
+ " # Выборка латентных векторов z из стандартного нормального распределения\n",
+ " z = torch.randn(64, latent_dim).to(device) # 64 образца случайного шума размерности latent_dim\n",
+ "\n",
+ " # Случайные метки классов\n",
+ " random_labels = torch.randint(0, 10, (64,)).to(device)\n",
+ " \n",
+ " # Преобразование меток в one-hot кодировку\n",
+ " conditions = F.one_hot(random_labels, num_classes=10).float().to(device)\n",
+ "\n",
+ " # Генерация изображений с помощью декодера\n",
+ " generated_images = model.decoder(z, conditions)\n",
+ "\n",
+ "# Функция для отображения сгенерированных изображений\n",
+ "def plot_generated(images):\n",
+ " fig, axes = plt.subplots(8, 8, figsize=(8, 8))\n",
+ " for i, ax in enumerate(axes.flat):\n",
+ " img = images[i].view(28, 28).cpu().numpy() # Перемещаем тензор на CPU и преобразуем в numpy\n",
+ " ax.imshow(img, cmap=\"gray\")\n",
+ " ax.axis(\"off\")\n",
+ " plt.tight_layout()\n",
+ " plt.show()\n",
+ "\n",
+ "# Визуализация сгенерированных изображений\n",
+ "plot_generated(generated_images)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "PYeG0GxD_SZY"
+ },
+ "source": [
+ "## Улучшение модели\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "e4wWUttCembc"
+ },
+ "source": [
+ "Стало лучше (и визуально, и по значениям loss). Но вы всё ещё можете улучшить приёмами, с которыми вы уже знакомы! Попробуйте поменять различные параметры модели и обучения, чтобы получить более качественные результаты\n",
+ "\n",
+ "Например, можете поменять:\n",
+ "- Архитектуру энкодера и декодера (добавить/изменить слои)\n",
+ "- Количество эпох обучения\n",
+ "- Размерность латентного пространства\n",
+ "- Параметры оптимизатора\n",
+ "- ..."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "metadata": {
+ "id": "swwLDCUXArtw"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 0%| | 0/100 [00:00<?, ?it/s]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch: 1 [0/60000 (0%)]\tLoss: 561.794861\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 1%| | 1/100 [00:01<02:53, 1.75s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 1 Average loss: 222.2178\n",
+ "Epoch: 2 [0/60000 (0%)]\tLoss: 151.247177\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 2%|в–Џ | 2/100 [00:03<02:41, 1.65s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 2 Average loss: 141.1258\n",
+ "Epoch: 3 [0/60000 (0%)]\tLoss: 130.482788\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 3%|в–Ћ | 3/100 [00:04<02:37, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 3 Average loss: 126.6830\n",
+ "Epoch: 4 [0/60000 (0%)]\tLoss: 121.922867\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 4%|в–Ќ | 4/100 [00:06<02:33, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 4 Average loss: 118.9438\n",
+ "Epoch: 5 [0/60000 (0%)]\tLoss: 116.350357\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 5%|в–Њ | 5/100 [00:08<02:31, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 5 Average loss: 114.1054\n",
+ "Epoch: 6 [0/60000 (0%)]\tLoss: 112.742264\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 6%|в–Њ | 6/100 [00:09<02:30, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 6 Average loss: 110.7418\n",
+ "Epoch: 7 [0/60000 (0%)]\tLoss: 110.485931\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 7%|в–‹ | 7/100 [00:11<02:28, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 7 Average loss: 108.1994\n",
+ "Epoch: 8 [0/60000 (0%)]\tLoss: 107.335419\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 8%|в–Љ | 8/100 [00:12<02:30, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 8 Average loss: 106.3367\n",
+ "Epoch: 9 [0/60000 (0%)]\tLoss: 106.253731\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 9%|в–‰ | 9/100 [00:14<02:27, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 9 Average loss: 104.8721\n",
+ "Epoch: 10 [0/60000 (0%)]\tLoss: 103.742935\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 10%|в–€ | 10/100 [00:16<02:25, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 10 Average loss: 103.6510\n",
+ "Epoch: 11 [0/60000 (0%)]\tLoss: 103.832047\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 11%|в–€ | 11/100 [00:17<02:23, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 11 Average loss: 102.6757\n",
+ "Epoch: 12 [0/60000 (0%)]\tLoss: 101.550049\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 12%|в–€в–Џ | 12/100 [00:19<02:21, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
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+ "Epoch: 14 [0/60000 (0%)]\tLoss: 101.318375\n"
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+ "Epoch: 15 [0/60000 (0%)]\tLoss: 101.156830\n"
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+ "Epoch: 16 [0/60000 (0%)]\tLoss: 100.239128\n"
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+ "Epoch: 17 [0/60000 (0%)]\tLoss: 99.720535\n"
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+ "Epoch: 18 [0/60000 (0%)]\tLoss: 97.917252\n"
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+ "Epoch: 19 [0/60000 (0%)]\tLoss: 96.903381\n"
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+ "Epoch: 20 [0/60000 (0%)]\tLoss: 99.194794\n"
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+ "text": [
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+ "Epoch: 21 [0/60000 (0%)]\tLoss: 97.623383\n"
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+ "text": [
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+ "Epoch: 22 [0/60000 (0%)]\tLoss: 96.641785\n"
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+ "text": [
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+ "Epoch: 23 [0/60000 (0%)]\tLoss: 98.140083\n"
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+ "text": [
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+ "Epoch: 24 [0/60000 (0%)]\tLoss: 98.322250\n"
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+ "text": [
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+ "Epoch: 25 [0/60000 (0%)]\tLoss: 97.394676\n"
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+ "text": [
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+ "Epoch: 26 [0/60000 (0%)]\tLoss: 96.182510\n"
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+ "text": [
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+ "Epoch: 27 [0/60000 (0%)]\tLoss: 97.081062\n"
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+ "text": [
+ "====> Epoch: 27 Average loss: 96.1999\n",
+ "Epoch: 28 [0/60000 (0%)]\tLoss: 95.572556\n"
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+ "text": [
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+ "Epoch: 29 [0/60000 (0%)]\tLoss: 94.852203\n"
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+ "text": [
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+ "Epoch: 30 [0/60000 (0%)]\tLoss: 95.989136\n"
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+ "text": [
+ "====> Epoch: 30 Average loss: 95.6438\n",
+ "Epoch: 31 [0/60000 (0%)]\tLoss: 94.690659\n"
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+ "output_type": "stream",
+ "text": [
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 31 Average loss: 95.4927\n",
+ "Epoch: 32 [0/60000 (0%)]\tLoss: 94.666870\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 32 Average loss: 95.3742\n",
+ "Epoch: 33 [0/60000 (0%)]\tLoss: 96.978233\n"
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+ "output_type": "stream",
+ "text": [
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+ "Epoch: 34 [0/60000 (0%)]\tLoss: 95.197098\n"
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+ "text": [
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+ "Epoch: 35 [0/60000 (0%)]\tLoss: 94.625099\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 35 Average loss: 94.9335\n",
+ "Epoch: 36 [0/60000 (0%)]\tLoss: 94.917076\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 36 Average loss: 94.8678\n",
+ "Epoch: 37 [0/60000 (0%)]\tLoss: 94.196182\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 37 Average loss: 94.7413\n",
+ "Epoch: 38 [0/60000 (0%)]\tLoss: 95.352325\n"
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+ "text": [
+ "====> Epoch: 38 Average loss: 94.5640\n",
+ "Epoch: 39 [0/60000 (0%)]\tLoss: 94.438858\n"
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+ "text": [
+ "====> Epoch: 39 Average loss: 94.4515\n",
+ "Epoch: 40 [0/60000 (0%)]\tLoss: 93.413918\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 40 Average loss: 94.3673\n",
+ "Epoch: 41 [0/60000 (0%)]\tLoss: 94.197220\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 41 Average loss: 94.2590\n",
+ "Epoch: 42 [0/60000 (0%)]\tLoss: 95.419029\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 42 Average loss: 94.1508\n",
+ "Epoch: 43 [0/60000 (0%)]\tLoss: 95.344620\n"
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+ "text": [
+ "====> Epoch: 43 Average loss: 94.0916\n",
+ "Epoch: 44 [0/60000 (0%)]\tLoss: 93.416977\n"
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+ " 44%|в–€в–€в–€в–€в–Ќ | 44/100 [01:10<01:29, 1.60s/it]"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 44 Average loss: 93.9951\n",
+ "Epoch: 45 [0/60000 (0%)]\tLoss: 93.527634\n"
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+ " 45%|в–€в–€в–€в–€в–Њ | 45/100 [01:12<01:27, 1.59s/it]"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 45 Average loss: 93.9394\n",
+ "Epoch: 46 [0/60000 (0%)]\tLoss: 92.771843\n"
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+ " 46%|в–€в–€в–€в–€в–Њ | 46/100 [01:14<01:25, 1.59s/it]"
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 46 Average loss: 93.7845\n",
+ "Epoch: 47 [0/60000 (0%)]\tLoss: 94.509811\n"
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+ " 47%|в–€в–€в–€в–€в–‹ | 47/100 [01:15<01:24, 1.59s/it]"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 47 Average loss: 93.7611\n",
+ "Epoch: 48 [0/60000 (0%)]\tLoss: 94.903824\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 48 Average loss: 93.6776\n",
+ "Epoch: 49 [0/60000 (0%)]\tLoss: 93.201675\n"
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+ "text": [
+ "====> Epoch: 49 Average loss: 93.5907\n",
+ "Epoch: 50 [0/60000 (0%)]\tLoss: 92.885262\n"
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+ "text": [
+ "====> Epoch: 50 Average loss: 93.5541\n",
+ "Epoch: 51 [0/60000 (0%)]\tLoss: 93.216362\n"
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 51 Average loss: 93.4969\n",
+ "Epoch: 52 [0/60000 (0%)]\tLoss: 93.396545\n"
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 52 Average loss: 93.3069\n",
+ "Epoch: 53 [0/60000 (0%)]\tLoss: 92.510849\n"
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 53 Average loss: 93.2485\n",
+ "Epoch: 54 [0/60000 (0%)]\tLoss: 94.058693\n"
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+ },
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+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 54 Average loss: 93.2266\n",
+ "Epoch: 55 [0/60000 (0%)]\tLoss: 93.393036\n"
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+ },
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 55 Average loss: 93.1424\n",
+ "Epoch: 56 [0/60000 (0%)]\tLoss: 92.867386\n"
+ ]
+ },
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+ },
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+ "name": "stdout",
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+ "text": [
+ "====> Epoch: 56 Average loss: 93.1095\n",
+ "Epoch: 57 [0/60000 (0%)]\tLoss: 93.705978\n"
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+ },
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+ "text": [
+ "====> Epoch: 57 Average loss: 93.0260\n",
+ "Epoch: 58 [0/60000 (0%)]\tLoss: 92.667786\n"
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+ },
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 58 Average loss: 92.8604\n",
+ "Epoch: 59 [0/60000 (0%)]\tLoss: 93.034546\n"
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+ },
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 59 Average loss: 92.8587\n",
+ "Epoch: 60 [0/60000 (0%)]\tLoss: 93.914787\n"
+ ]
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+ "output_type": "stream",
+ "text": [
+ " 60%|в–€в–€в–€в–€в–€в–€ | 60/100 [01:36<01:04, 1.60s/it]"
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+ },
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 60 Average loss: 92.8473\n",
+ "Epoch: 61 [0/60000 (0%)]\tLoss: 93.800858\n"
+ ]
+ },
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+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 61%|в–€в–€в–€в–€в–€в–€ | 61/100 [01:38<01:03, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 61 Average loss: 92.7915\n",
+ "Epoch: 62 [0/60000 (0%)]\tLoss: 93.450958\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 62%|в–€в–€в–€в–€в–€в–€в–Џ | 62/100 [01:40<01:02, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 62 Average loss: 92.6624\n",
+ "Epoch: 63 [0/60000 (0%)]\tLoss: 92.749069\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
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+ " 63%|в–€в–€в–€в–€в–€в–€в–Ћ | 63/100 [01:41<01:00, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 63 Average loss: 92.6797\n",
+ "Epoch: 64 [0/60000 (0%)]\tLoss: 92.085007\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
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+ " 64%|в–€в–€в–€в–€в–€в–€в–Ќ | 64/100 [01:43<00:58, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 64 Average loss: 92.6664\n",
+ "Epoch: 65 [0/60000 (0%)]\tLoss: 92.383682\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 65%|в–€в–€в–€в–€в–€в–€в–Њ | 65/100 [01:44<00:56, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 65 Average loss: 92.5407\n",
+ "Epoch: 66 [0/60000 (0%)]\tLoss: 91.129532\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 66%|в–€в–€в–€в–€в–€в–€в–Њ | 66/100 [01:46<00:55, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 66 Average loss: 92.4782\n",
+ "Epoch: 67 [0/60000 (0%)]\tLoss: 92.426392\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 67%|в–€в–€в–€в–€в–€в–€в–‹ | 67/100 [01:48<00:53, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 67 Average loss: 92.4438\n",
+ "Epoch: 68 [0/60000 (0%)]\tLoss: 92.295013\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 68%|в–€в–€в–€в–€в–€в–€в–Љ | 68/100 [01:49<00:52, 1.64s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 68 Average loss: 92.3410\n",
+ "Epoch: 69 [0/60000 (0%)]\tLoss: 92.791306\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 69%|в–€в–€в–€в–€в–€в–€в–‰ | 69/100 [01:51<00:50, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 69 Average loss: 92.3157\n",
+ "Epoch: 70 [0/60000 (0%)]\tLoss: 92.385910\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 70%|в–€в–€в–€в–€в–€в–€в–€ | 70/100 [01:53<00:48, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 70 Average loss: 92.3240\n",
+ "Epoch: 71 [0/60000 (0%)]\tLoss: 92.501740\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 71%|в–€в–€в–€в–€в–€в–€в–€ | 71/100 [01:54<00:46, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 71 Average loss: 92.2773\n",
+ "Epoch: 72 [0/60000 (0%)]\tLoss: 92.608154\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 72%|в–€в–€в–€в–€в–€в–€в–€в–Џ | 72/100 [01:56<00:45, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 72 Average loss: 92.1657\n",
+ "Epoch: 73 [0/60000 (0%)]\tLoss: 92.356010\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 73%|в–€в–€в–€в–€в–€в–€в–€в–Ћ | 73/100 [01:57<00:43, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 73 Average loss: 92.1961\n",
+ "Epoch: 74 [0/60000 (0%)]\tLoss: 90.724091\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 74%|в–€в–€в–€в–€в–€в–€в–€в–Ќ | 74/100 [01:59<00:41, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 74 Average loss: 92.1125\n",
+ "Epoch: 75 [0/60000 (0%)]\tLoss: 91.651474\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 75%|в–€в–€в–€в–€в–€в–€в–€в–Њ | 75/100 [02:01<00:41, 1.65s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 75 Average loss: 92.1028\n",
+ "Epoch: 76 [0/60000 (0%)]\tLoss: 91.971695\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 76%|в–€в–€в–€в–€в–€в–€в–€в–Њ | 76/100 [02:02<00:39, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 76 Average loss: 92.0608\n",
+ "Epoch: 77 [0/60000 (0%)]\tLoss: 91.515396\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 77%|в–€в–€в–€в–€в–€в–€в–€в–‹ | 77/100 [02:04<00:37, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 77 Average loss: 92.0321\n",
+ "Epoch: 78 [0/60000 (0%)]\tLoss: 91.750526\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 78%|в–€в–€в–€в–€в–€в–€в–€в–Љ | 78/100 [02:06<00:35, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 78 Average loss: 91.9220\n",
+ "Epoch: 79 [0/60000 (0%)]\tLoss: 91.614395\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 79%|в–€в–€в–€в–€в–€в–€в–€в–‰ | 79/100 [02:07<00:33, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 79 Average loss: 91.9376\n",
+ "Epoch: 80 [0/60000 (0%)]\tLoss: 91.449547\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 80%|в–€в–€в–€в–€в–€в–€в–€в–€ | 80/100 [02:09<00:31, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 80 Average loss: 91.8558\n",
+ "Epoch: 81 [0/60000 (0%)]\tLoss: 92.120461\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 81%|в–€в–€в–€в–€в–€в–€в–€в–€ | 81/100 [02:10<00:30, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 81 Average loss: 91.8719\n",
+ "Epoch: 82 [0/60000 (0%)]\tLoss: 92.186646\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 82%|в–€в–€в–€в–€в–€в–€в–€в–€в–Џ | 82/100 [02:12<00:29, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 82 Average loss: 91.8689\n",
+ "Epoch: 83 [0/60000 (0%)]\tLoss: 91.614853\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 83%|в–€в–€в–€в–€в–€в–€в–€в–€в–Ћ | 83/100 [02:14<00:27, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 83 Average loss: 91.7839\n",
+ "Epoch: 84 [0/60000 (0%)]\tLoss: 92.575516\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 84%|в–€в–€в–€в–€в–€в–€в–€в–€в–Ќ | 84/100 [02:15<00:25, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 84 Average loss: 91.7384\n",
+ "Epoch: 85 [0/60000 (0%)]\tLoss: 92.168388\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 85%|в–€в–€в–€в–€в–€в–€в–€в–€в–Њ | 85/100 [02:17<00:23, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 85 Average loss: 91.7441\n",
+ "Epoch: 86 [0/60000 (0%)]\tLoss: 91.519562\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 86%|в–€в–€в–€в–€в–€в–€в–€в–€в–Њ | 86/100 [02:18<00:22, 1.59s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 86 Average loss: 91.7358\n",
+ "Epoch: 87 [0/60000 (0%)]\tLoss: 91.106216\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 87%|в–€в–€в–€в–€в–€в–€в–€в–€в–‹ | 87/100 [02:20<00:21, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 87 Average loss: 91.6905\n",
+ "Epoch: 88 [0/60000 (0%)]\tLoss: 91.075424\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 88%|в–€в–€в–€в–€в–€в–€в–€в–€в–Љ | 88/100 [02:22<00:19, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 88 Average loss: 91.6252\n",
+ "Epoch: 89 [0/60000 (0%)]\tLoss: 92.471184\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 89%|в–€в–€в–€в–€в–€в–€в–€в–€в–‰ | 89/100 [02:23<00:17, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 89 Average loss: 91.4768\n",
+ "Epoch: 90 [0/60000 (0%)]\tLoss: 92.907822\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 90%|в–€в–€в–€в–€в–€в–€в–€в–€в–€ | 90/100 [02:25<00:16, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 90 Average loss: 91.4915\n",
+ "Epoch: 91 [0/60000 (0%)]\tLoss: 91.510422\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 91%|в–€в–€в–€в–€в–€в–€в–€в–€в–€ | 91/100 [02:26<00:14, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 91 Average loss: 91.5828\n",
+ "Epoch: 92 [0/60000 (0%)]\tLoss: 91.142258\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 92%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Џ| 92/100 [02:28<00:12, 1.60s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 92 Average loss: 91.4419\n",
+ "Epoch: 93 [0/60000 (0%)]\tLoss: 91.570778\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 93%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ћ| 93/100 [02:30<00:11, 1.59s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 93 Average loss: 91.3988\n",
+ "Epoch: 94 [0/60000 (0%)]\tLoss: 91.001373\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 94%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ќ| 94/100 [02:31<00:09, 1.64s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 94 Average loss: 91.4214\n",
+ "Epoch: 95 [0/60000 (0%)]\tLoss: 91.632065\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 95%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Њ| 95/100 [02:33<00:08, 1.63s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 95 Average loss: 91.3620\n",
+ "Epoch: 96 [0/60000 (0%)]\tLoss: 90.971130\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 96%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Њ| 96/100 [02:35<00:06, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 96 Average loss: 91.4383\n",
+ "Epoch: 97 [0/60000 (0%)]\tLoss: 91.199570\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 97%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–‹| 97/100 [02:36<00:04, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 97 Average loss: 91.3456\n",
+ "Epoch: 98 [0/60000 (0%)]\tLoss: 91.975494\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 98%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Љ| 98/100 [02:38<00:03, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 98 Average loss: 91.3208\n",
+ "Epoch: 99 [0/60000 (0%)]\tLoss: 90.774750\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 99%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–‰| 99/100 [02:39<00:01, 1.62s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 99 Average loss: 91.3478\n",
+ "Epoch: 100 [0/60000 (0%)]\tLoss: 91.460205\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "100%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–€| 100/100 [02:41<00:00, 1.61s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "====> Epoch: 100 Average loss: 91.2658\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "import torch\n",
+ "import torch.nn as nn\n",
+ "import torch.nn.functional as F\n",
+ "import torch.optim as optim\n",
+ "from torch.utils.data import DataLoader\n",
+ "from torchvision import datasets, transforms\n",
+ "import matplotlib.pyplot as plt\n",
+ "from tqdm import tqdm\n",
+ "\n",
+ "# Определение устройства (GPU или CPU)\n",
+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+ "\n",
+ "# Параметры модели\n",
+ "input_dim = 784\n",
+ "condition_dim = 10\n",
+ "hidden_dim = 400\n",
+ "latent_dim = 30 # Увеличенная размерность латентного пространства\n",
+ "\n",
+ "# Улучшенный энкодер с BatchNorm\n",
+ "class ConditionalEncoder(nn.Module):\n",
+ " def __init__(self, input_dim=784, condition_dim=10, hidden_dim=400, latent_dim=100):\n",
+ " super(ConditionalEncoder, self).__init__()\n",
+ " self.fc1 = nn.Linear(input_dim + condition_dim, hidden_dim)\n",
+ " self.bn1 = nn.BatchNorm1d(hidden_dim)\n",
+ " self.fc2 = nn.Linear(hidden_dim, hidden_dim)\n",
+ " self.bn2 = nn.BatchNorm1d(hidden_dim)\n",
+ " self.fc_mu = nn.Linear(hidden_dim, latent_dim)\n",
+ " self.fc_logvar = nn.Linear(hidden_dim, latent_dim)\n",
+ " \n",
+ " def forward(self, x, c):\n",
+ " x_cond = torch.cat([x, c], dim=1)\n",
+ " h = F.relu(self.bn1(self.fc1(x_cond)))\n",
+ " h = F.relu(self.bn2(self.fc2(h)))\n",
+ " mu = self.fc_mu(h)\n",
+ " logvar = self.fc_logvar(h)\n",
+ " return mu, logvar\n",
+ "\n",
+ "# Улучшенный декодер с BatchNorm\n",
+ "class ConditionalDecoder(nn.Module):\n",
+ " def __init__(self, latent_dim=100, condition_dim=10, hidden_dim=400, output_dim=784):\n",
+ " super(ConditionalDecoder, self).__init__()\n",
+ " self.fc1 = nn.Linear(latent_dim + condition_dim, hidden_dim)\n",
+ " self.bn1 = nn.BatchNorm1d(hidden_dim) # BatchNorm\n",
+ " self.fc2 = nn.Linear(hidden_dim, hidden_dim)\n",
+ " self.bn2 = nn.BatchNorm1d(hidden_dim) # BatchNorm\n",
+ " self.fc3 = nn.Linear(hidden_dim, output_dim)\n",
+ " \n",
+ " def forward(self, z, c):\n",
+ " z_cond = torch.cat([z, c], dim=1)\n",
+ " h = F.relu(self.bn1(self.fc1(z_cond)))\n",
+ " h = F.relu(self.bn2(self.fc2(h)))\n",
+ " x_recon = torch.sigmoid(self.fc3(h))\n",
+ " return x_recon\n",
+ "\n",
+ "# Условный VAE\n",
+ "class ConditionalVAE(nn.Module):\n",
+ " def __init__(self, input_dim=784, condition_dim=10, hidden_dim=400, latent_dim=100):\n",
+ " super(ConditionalVAE, self).__init__()\n",
+ " self.encoder = ConditionalEncoder(input_dim, condition_dim, hidden_dim, latent_dim)\n",
+ " self.decoder = ConditionalDecoder(latent_dim, condition_dim, hidden_dim, input_dim)\n",
+ " \n",
+ " def reparameterize(self, mu, logvar):\n",
+ " std = torch.exp(0.5 * logvar)\n",
+ " eps = torch.randn_like(std)\n",
+ " z = mu + eps * std\n",
+ " return z\n",
+ " \n",
+ " def forward(self, x, c):\n",
+ " mu, logvar = self.encoder(x, c)\n",
+ " z = self.reparameterize(mu, logvar)\n",
+ " x_recon = self.decoder(z, c)\n",
+ " return x_recon, mu, logvar\n",
+ "\n",
+ "# Функция потерь\n",
+ "def loss_function(recon_x, x, mu, logvar):\n",
+ " BCE = F.binary_cross_entropy(recon_x, x, reduction='sum')\n",
+ " KL = -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp())\n",
+ " return BCE + KL\n",
+ "\n",
+ "# Загрузка данных (MNIST)\n",
+ "transform = transforms.Compose([transforms.ToTensor()])\n",
+ "train_dataset = datasets.MNIST(root='./data', train=True, download=True, transform=transform)\n",
+ "train_loader = DataLoader(train_dataset, batch_size=1024, shuffle=True)\n",
+ "\n",
+ "# Рнициализация модели Рё оптимизатора\n",
+ "model = ConditionalVAE(input_dim, condition_dim, hidden_dim, latent_dim).to(device)\n",
+ "optimizer = optim.AdamW(model.parameters(), lr=1e-3, weight_decay=1e-4) \n",
+ "\n",
+ "# Обучение модели\n",
+ "num_epochs = 100 # Увеличенное количество эпох\n",
+ "model.train()\n",
+ "for epoch in tqdm(range(1, num_epochs + 1)):\n",
+ " train_loss = 0\n",
+ " for batch_idx, (data, labels) in enumerate(train_loader):\n",
+ " data = data.to(device).view(-1, input_dim)\n",
+ " labels = labels.to(device)\n",
+ " c = F.one_hot(labels, num_classes=10).float().to(device)\n",
+ " \n",
+ " optimizer.zero_grad()\n",
+ " recon_batch, mu, logvar = model(data, c)\n",
+ " loss = loss_function(recon_batch, data, mu, logvar)\n",
+ " loss.backward()\n",
+ " optimizer.step()\n",
+ " \n",
+ " train_loss += loss.item()\n",
+ " \n",
+ " if batch_idx % 100 == 0:\n",
+ " print(f'Epoch: {epoch} [{batch_idx * len(data)}/{len(train_loader.dataset)} '\n",
+ " f'({100. * batch_idx / len(train_loader):.0f}%)]\\tLoss: {loss.item() / len(data):.6f}')\n",
+ " print(f'====> Epoch: {epoch} Average loss: {train_loss / len(train_loader.dataset):.4f}')\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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+ "text/plain": [
+ "<Figure size 1600x400 with 16 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# Загрузка одного батча тестовых данных\n",
+ "data_iter = iter(test_loader)\n",
+ "images, labels = next(data_iter)\n",
+ "images = images.to(device)\n",
+ "labels = labels.to(device)\n",
+ "\n",
+ "# Преобразование меток в one-hot кодировку\n",
+ "conditions = F.one_hot(labels, num_classes=10).float().to(device)\n",
+ "\n",
+ "# Реконструкция изображений с помощью модели\n",
+ "with torch.no_grad():\n",
+ " recon_images, mu, logvar = model(images, conditions)\n",
+ "\n",
+ "# Функция для отображения оригинальных и реконструированных изображений\n",
+ "def plot_images(original, reconstructed, conditions, n=8):\n",
+ " labels = conditions.argmax(dim=1) # Преобразуем one-hot обратно в метки классов\n",
+ " plt.figure(figsize=(16, 4))\n",
+ " for i in range(n):\n",
+ " # Оригинальное изображение\n",
+ " plt.subplot(2, n, i + 1)\n",
+ " plt.imshow(original[i].cpu().view(28, 28), cmap='gray')\n",
+ " plt.title(f\"Original\\nLabel: {labels[i].item()}\")\n",
+ " plt.axis(\"off\")\n",
+ " \n",
+ " # Реконструированное изображение\n",
+ " plt.subplot(2, n, i + n + 1)\n",
+ " plt.imshow(reconstructed[i].cpu().view(28, 28), cmap='gray')\n",
+ " plt.title(f\"Reconstructed\\nLabel: {labels[i].item()}\")\n",
+ " plt.axis(\"off\")\n",
+ " plt.tight_layout()\n",
+ " plt.show()\n",
+ "\n",
+ "# Визуализация\n",
+ "plot_images(images, recon_images, conditions, n=8)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 800x800 with 64 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "latent_dim = 30\n",
+ "\n",
+ "# Генерация новых изображений\n",
+ "with torch.no_grad():\n",
+ " # Выборка латентных векторов z из стандартного нормального распределения\n",
+ " z = torch.randn(64, latent_dim).to(device) # 64 образца случайного шума размерности latent_dim\n",
+ "\n",
+ " # Случайные метки классов\n",
+ " random_labels = torch.randint(0, 10, (64,)).to(device)\n",
+ " \n",
+ " # Преобразование меток в one-hot кодировку\n",
+ " conditions = F.one_hot(random_labels, num_classes=10).float().to(device)\n",
+ "\n",
+ " # Генерация изображений с помощью декодера\n",
+ " generated_images = model.decoder(z, conditions)\n",
+ "\n",
+ "# Функция для отображения сгенерированных изображений\n",
+ "def plot_generated(images):\n",
+ " fig, axes = plt.subplots(8, 8, figsize=(8, 8))\n",
+ " for i, ax in enumerate(axes.flat):\n",
+ " img = images[i].view(28, 28).cpu().numpy() # Перемещаем тензор на CPU и преобразуем в numpy\n",
+ " ax.set_title(f\"Label: {random_labels[i].item()}\", fontsize=8) # Заголовок с меткой класса\n",
+ " ax.imshow(img, cmap=\"gray\")\n",
+ " ax.axis(\"off\")\n",
+ " plt.tight_layout()\n",
+ " plt.show()\n",
+ "\n",
+ "# Визуализация сгенерированных изображений\n",
+ "plot_generated(generated_images)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "Lb8DbEtkuWi6"
+ },
+ "source": [
+ "# Задача 2: Реализация и обучение Generative Adversarial Network GAN"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "ysqfB67kJATR"
+ },
+ "source": [
+ "GAN — это класс моделей глубокого обучения, состоящий из двух сетей: генератора и дискриминатора, которые обучаются одновременно: генератор создает данные, а дискриминатор оценивает их достоверность\n",
+ "\n",
+ "* **Реализация Vanilla GAN (0.5 задачи)** \n",
+ " - Создайте архитектуру GAN, состоящую из: \n",
+ " - Генератора, который принимает на вход случайный шум (вектор) и генерирует изображение. \n",
+ " - Дискриминатора, который классифицирует изображение как реальное или сгенерированное. \n",
+ " - Рспользуйте функцию потерь, основанную РЅР° бинарной РєСЂРѕСЃСЃ-энтропии (Binary Cross-Entropy Loss). \n",
+ " - Обучите модель, чередуя обновление весов генератора и дискриминатора. \n",
+ " - Визуализируйте результаты: \n",
+ " - Покажите примеры изображений, сгенерированных обученным генератором.\n",
+ "\n",
+ "* **Условная генерация (0.5 задачи)** \n",
+ " - Дополните GAN для реализации условной генерации (Conditional GAN, cGAN), где генератор и дискриминатор также принимают на вход метки классов. \n",
+ " - Проверьте, как модель справляется с генерацией изображений заданного класса."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "qdQ6mcjMOD6H"
+ },
+ "source": [
+ "## Vanilla GAN"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "F0Z1YNN5dsz1"
+ },
+ "source": [
+ "### Реализация генератора"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "jRZHIiCVJDNm"
+ },
+ "source": [
+ "Генератор — это часть GAN, которая создает новые данные, принимая на вход случайный шум и преобразуя его в данные, похожие на реальные. Для начала реализуйте базовую архитектуру:\n",
+ "- линейный слой с параметрами:\n",
+ " * размер входа - `noise_dim`\n",
+ " * размер выхода - 256\n",
+ "- функция активации `ReLU()`\n",
+ "- линейный слой с параметрами:\n",
+ " * размер входа - 256\n",
+ " * размер выхода - 512\n",
+ "- функция активации `ReLU()`\n",
+ "- линейный слой с параметрами:\n",
+ " * размер входа - 512\n",
+ " * размер выхода - 1024\n",
+ "- функция активации `ReLU()`\n",
+ "- линейный слой с параметрами:\n",
+ " * размер входа - 1024\n",
+ " * размер выхода - произведение выходных размерностей (размеров изображения) `output_shape`\n",
+ "- функция активации `Tanh()`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {
+ "id": "-eruSevodxcl"
+ },
+ "outputs": [],
+ "source": [
+ "class Generator(nn.Module):\n",
+ " def __init__(self, noise_dim=100, output_shape=(1, 28, 28)):\n",
+ " super(Generator, self).__init__()\n",
+ " self.output_shape = output_shape # Сохраняем форму выходного изображения\n",
+ " \n",
+ " self.fc = nn.Sequential(\n",
+ " nn.Linear(noise_dim, 256),\n",
+ " nn.ReLU(),\n",
+ " nn.Linear(256, 512),\n",
+ " nn.ReLU(),\n",
+ " nn.Linear(512, 1024),\n",
+ " nn.ReLU(),\n",
+ " # Линейный слой (1024, произведение output_shape)\n",
+ " nn.Linear(1024, output_shape[0] * output_shape[1] * output_shape[2]),\n",
+ " nn.Tanh()\n",
+ " )\n",
+ " \n",
+ " def forward(self, z):\n",
+ " # Прогоняем пакет векторов через модель\n",
+ " img = self.fc(z)\n",
+ " # Рзменяем размер РґРѕ (batch_size, *output_shape)\n",
+ " img = img.view(-1, *self.output_shape)\n",
+ " return img"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "7eOvVQYddyZh"
+ },
+ "source": [
+ "### Реализация дискриминатора"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "f9RvHRngJGZo"
+ },
+ "source": [
+ "Дискриминатор — это часть GAN, задача которой состоит в классификации входных данных как реальных (из тренировочного набора данных), так и сгенерированных (созданных генератором).\n",
+ "\n",
+ "Он нужен для того, чтобы отличить сгенерированное изображение от настоящего, что затем используется при обучении генератора.\n",
+ "\n",
+ "Рспользуйте следующую архитектуру:\n",
+ "* Выровняйте/расплюшьте/разгладьте входное изображение\n",
+ "* Линейный слой с параметрами:\n",
+ " - размер входа равен произведению размероностей изображения `input_dim`\n",
+ " - размер выхода равен 1024\n",
+ "* Функция активации LeakyReLU(0.2, inplace=True)\n",
+ "* Линейный слой с параметрами:\n",
+ " - размер входа равен 1024\n",
+ " - размер выхода равен 512\n",
+ "* Функция активации LeakyReLU(0.2, inplace=True)\n",
+ "* Линейный слой с параметрами:\n",
+ " - размер входа равен 512\n",
+ " - размер выхода равен 256\n",
+ "* Функция активации LeakyReLU(0.2, inplace=True)\n",
+ "* Линейный слой с параметрами:\n",
+ " - размер входа равен 256\n",
+ " - размер выхода равен 1\n",
+ "* Функция активации Sigmoid()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {
+ "id": "swI8tiSQRWpn"
+ },
+ "outputs": [],
+ "source": [
+ "class Discriminator(nn.Module):\n",
+ " def __init__(self, input_dim=(1, 28, 28)):\n",
+ " super(Discriminator, self).__init__()\n",
+ " \n",
+ " # Слой для сплющивания входного изображения\n",
+ " self.flatten = nn.Flatten()\n",
+ " \n",
+ " # Определяем последовательность слоёв\n",
+ " self.fc = nn.Sequential(\n",
+ " # Линейный слой (произведение размерностей изображения, 1024)\n",
+ " nn.Linear(input_dim[0] * input_dim[1] * input_dim[2], 1024),\n",
+ " # Функция активации LeakyReLU(0.2, inplace=True)\n",
+ " nn.LeakyReLU(0.2, inplace=True),\n",
+ " # Линейный слой (1024, 512)\n",
+ " nn.Linear(1024, 512),\n",
+ " # Функция активации LeakyReLU(0.2, inplace=True)\n",
+ " nn.LeakyReLU(0.2, inplace=True),\n",
+ " # Линейный слой (512, 256)\n",
+ " nn.Linear(512, 256),\n",
+ " # Функция активации LeakyReLU(0.2, inplace=True)\n",
+ " nn.LeakyReLU(0.2, inplace=True),\n",
+ " # Линейный слой (256, 1)\n",
+ " nn.Linear(256, 1),\n",
+ " # Функция активации Sigmoid()\n",
+ " nn.Sigmoid()\n",
+ " )\n",
+ " \n",
+ " def forward(self, img):\n",
+ " # Сначала сплющиваем изображение\n",
+ " flattened_img = self.flatten(img)\n",
+ " # Прогоняем через полносвязные слои\n",
+ " result = self.fc(flattened_img)\n",
+ " return result"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "cYxp1IjkeDDW"
+ },
+ "source": [
+ "### Подготовка к обучению"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "RpnE5IFYWDeN"
+ },
+ "source": [
+ "Определите функцию ошибки, создайте моедил генератора и дискриминатора, создайте оптимизаторы для генератора и дискриминатора"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {
+ "id": "YfN8BpBIVfhg"
+ },
+ "outputs": [],
+ "source": [
+ "batch_size = 128\n",
+ "\n",
+ "# Преобразования для данных\n",
+ "transform = transforms.Compose([\n",
+ " transforms.ToTensor(),\n",
+ " transforms.Lambda(lambda x: x.view(-1)) # Преобразуем изображение в одномерный вектор\n",
+ "])\n",
+ "\n",
+ "# Загрузка данных\n",
+ "train_dataset = dset.MNIST(root='./data', train=True, download=True, transform=transform)\n",
+ "test_dataset = dset.MNIST(root='./data', train=False, download=True, transform=transform)\n",
+ "\n",
+ "train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True)\n",
+ "test_loader = DataLoader(test_dataset, batch_size=batch_size, shuffle=False)\n",
+ "\n",
+ "# Функция потерь (Binary Cross Entropy)\n",
+ "criterion = nn.BCELoss()\n",
+ "\n",
+ "# Определение устройства (GPU или CPU)\n",
+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+ "\n",
+ "# Рнициализация моделей\n",
+ "generator = Generator().to(device)\n",
+ "discriminator = Discriminator().to(device)\n",
+ "\n",
+ "# Оптимизаторы\n",
+ "optimizer_g = optim.Adam(generator.parameters(), lr=0.001, betas=(0.5, 0.999)) # Оптимизатор для генератора\n",
+ "optimizer_d = optim.Adam(discriminator.parameters(), lr=0.001, betas=(0.5, 0.999)) # Оптимизатор для дискриминатора"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "Z4XsjzsxeGD7"
+ },
+ "source": [
+ "### Обучение"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {
+ "id": "lwJYfHuPWwIa"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 2%|в–Џ | 1/60 [00:02<02:52, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [1/60], D Loss: 0.9221, G Loss: 1.1538\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 3%|в–Ћ | 2/60 [00:05<02:49, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [2/60], D Loss: 1.3704, G Loss: 2.9522\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 5%|в–Њ | 3/60 [00:08<02:46, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [3/60], D Loss: 1.1255, G Loss: 2.7237\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 7%|в–‹ | 4/60 [00:11<02:43, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [4/60], D Loss: 0.6224, G Loss: 2.9634\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 8%|в–Љ | 5/60 [00:14<02:40, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [5/60], D Loss: 0.7932, G Loss: 2.9057\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 10%|в–€ | 6/60 [00:17<02:37, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [6/60], D Loss: 0.9126, G Loss: 2.3264\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 12%|в–€в–Џ | 7/60 [00:20<02:35, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [7/60], D Loss: 0.8968, G Loss: 1.2259\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 13%|в–€в–Ћ | 8/60 [00:23<02:32, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [8/60], D Loss: 0.7286, G Loss: 2.7364\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 15%|в–€в–Њ | 9/60 [00:26<02:29, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [9/60], D Loss: 0.7114, G Loss: 2.1172\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 17%|в–€в–‹ | 10/60 [00:29<02:26, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [10/60], D Loss: 0.4901, G Loss: 3.2771\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 18%|в–€в–Љ | 11/60 [00:32<02:23, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [11/60], D Loss: 0.8179, G Loss: 1.9817\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 20%|в–€в–€ | 12/60 [00:35<02:20, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [12/60], D Loss: 0.8329, G Loss: 5.4302\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 22%|в–€в–€в–Џ | 13/60 [00:38<02:18, 2.95s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [13/60], D Loss: 1.1506, G Loss: 2.0769\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 23%|в–€в–€в–Ћ | 14/60 [00:41<02:15, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [14/60], D Loss: 0.5515, G Loss: 3.1765\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 25%|в–€в–€в–Њ | 15/60 [00:43<02:12, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [15/60], D Loss: 0.5522, G Loss: 2.3500\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 27%|в–€в–€в–‹ | 16/60 [00:46<02:09, 2.95s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [16/60], D Loss: 0.5011, G Loss: 2.5455\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 28%|в–€в–€в–Љ | 17/60 [00:49<02:06, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [17/60], D Loss: 0.7108, G Loss: 3.1007\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 30%|в–€в–€в–€ | 18/60 [00:52<02:02, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [18/60], D Loss: 0.4352, G Loss: 2.7461\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 32%|в–€в–€в–€в–Џ | 19/60 [00:55<02:00, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [19/60], D Loss: 0.6033, G Loss: 3.0269\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 33%|в–€в–€в–€в–Ћ | 20/60 [00:58<01:56, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [20/60], D Loss: 0.5566, G Loss: 3.8555\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 35%|в–€в–€в–€в–Њ | 21/60 [01:01<01:53, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [21/60], D Loss: 0.4693, G Loss: 3.6882\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 37%|в–€в–€в–€в–‹ | 22/60 [01:04<01:50, 2.91s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [22/60], D Loss: 0.4851, G Loss: 3.3544\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 38%|в–€в–€в–€в–Љ | 23/60 [01:07<01:48, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [23/60], D Loss: 0.5232, G Loss: 2.9694\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 40%|в–€в–€в–€в–€ | 24/60 [01:10<01:45, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [24/60], D Loss: 0.3458, G Loss: 2.2626\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 42%|в–€в–€в–€в–€в–Џ | 25/60 [01:13<01:42, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [25/60], D Loss: 0.5281, G Loss: 3.9154\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 43%|в–€в–€в–€в–€в–Ћ | 26/60 [01:16<01:39, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [26/60], D Loss: 0.3781, G Loss: 3.8822\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 45%|в–€в–€в–€в–€в–Њ | 27/60 [01:19<01:36, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [27/60], D Loss: 0.4148, G Loss: 6.0116\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 47%|в–€в–€в–€в–€в–‹ | 28/60 [01:22<01:33, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [28/60], D Loss: 0.3564, G Loss: 4.1455\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 48%|в–€в–€в–€в–€в–Љ | 29/60 [01:24<01:30, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [29/60], D Loss: 0.3309, G Loss: 3.5700\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 50%|в–€в–€в–€в–€в–€ | 30/60 [01:27<01:27, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [30/60], D Loss: 0.3300, G Loss: 3.9913\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 52%|в–€в–€в–€в–€в–€в–Џ | 31/60 [01:30<01:25, 2.95s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [31/60], D Loss: 0.2887, G Loss: 3.8640\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 53%|в–€в–€в–€в–€в–€в–Ћ | 32/60 [01:33<01:22, 2.96s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [32/60], D Loss: 0.2320, G Loss: 5.2870\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 55%|в–€в–€в–€в–€в–€в–Њ | 33/60 [01:36<01:20, 2.97s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [33/60], D Loss: 0.4363, G Loss: 2.8418\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 57%|в–€в–€в–€в–€в–€в–‹ | 34/60 [01:39<01:16, 2.96s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [34/60], D Loss: 0.2566, G Loss: 8.5046\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 58%|в–€в–€в–€в–€в–€в–Љ | 35/60 [01:42<01:13, 2.95s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [35/60], D Loss: 0.1698, G Loss: 4.0080\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 60%|в–€в–€в–€в–€в–€в–€ | 36/60 [01:45<01:10, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [36/60], D Loss: 0.1460, G Loss: 4.3480\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 62%|в–€в–€в–€в–€в–€в–€в–Џ | 37/60 [01:48<01:07, 2.96s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [37/60], D Loss: 0.1478, G Loss: 5.7472\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 63%|в–€в–€в–€в–€в–€в–€в–Ћ | 38/60 [01:51<01:04, 2.95s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [38/60], D Loss: 0.1117, G Loss: 7.5815\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 65%|в–€в–€в–€в–€в–€в–€в–Њ | 39/60 [01:54<01:01, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [39/60], D Loss: 0.1994, G Loss: 5.5918\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 67%|в–€в–€в–€в–€в–€в–€в–‹ | 40/60 [01:57<00:58, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [40/60], D Loss: 0.1692, G Loss: 5.7480\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 68%|в–€в–€в–€в–€в–€в–€в–Љ | 41/60 [02:00<00:55, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [41/60], D Loss: 0.2045, G Loss: 5.4694\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 70%|в–€в–€в–€в–€в–€в–€в–€ | 42/60 [02:03<00:52, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [42/60], D Loss: 0.1364, G Loss: 5.3086\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 72%|в–€в–€в–€в–€в–€в–€в–€в–Џ | 43/60 [02:06<00:49, 2.91s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [43/60], D Loss: 0.1516, G Loss: 5.1176\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 73%|в–€в–€в–€в–€в–€в–€в–€в–Ћ | 44/60 [02:09<00:46, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [44/60], D Loss: 0.1461, G Loss: 5.8035\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 75%|в–€в–€в–€в–€в–€в–€в–€в–Њ | 45/60 [02:12<00:43, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [45/60], D Loss: 0.1383, G Loss: 7.5443\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 77%|в–€в–€в–€в–€в–€в–€в–€в–‹ | 46/60 [02:14<00:41, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [46/60], D Loss: 0.0944, G Loss: 7.0009\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 78%|в–€в–€в–€в–€в–€в–€в–€в–Љ | 47/60 [02:17<00:38, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [47/60], D Loss: 0.1883, G Loss: 5.6738\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 80%|в–€в–€в–€в–€в–€в–€в–€в–€ | 48/60 [02:20<00:35, 2.92s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [48/60], D Loss: 0.1018, G Loss: 5.3483\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 82%|в–€в–€в–€в–€в–€в–€в–€в–€в–Џ | 49/60 [02:23<00:32, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [49/60], D Loss: 0.1415, G Loss: 8.9703\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 83%|в–€в–€в–€в–€в–€в–€в–€в–€в–Ћ | 50/60 [02:26<00:29, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [50/60], D Loss: 0.1068, G Loss: 4.2373\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 85%|в–€в–€в–€в–€в–€в–€в–€в–€в–Њ | 51/60 [02:29<00:26, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [51/60], D Loss: 0.1654, G Loss: 7.9432\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 87%|в–€в–€в–€в–€в–€в–€в–€в–€в–‹ | 52/60 [02:32<00:23, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [52/60], D Loss: 0.1182, G Loss: 4.7093\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 88%|в–€в–€в–€в–€в–€в–€в–€в–€в–Љ | 53/60 [02:35<00:20, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [53/60], D Loss: 0.1250, G Loss: 6.2879\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 90%|в–€в–€в–€в–€в–€в–€в–€в–€в–€ | 54/60 [02:38<00:17, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [54/60], D Loss: 0.0116, G Loss: 8.2117\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 92%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Џ| 55/60 [02:41<00:14, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [55/60], D Loss: 0.2270, G Loss: 3.5980\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 93%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ћ| 56/60 [02:44<00:11, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [56/60], D Loss: 0.2017, G Loss: 5.0498\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 95%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Њ| 57/60 [02:47<00:08, 2.95s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [57/60], D Loss: 0.0889, G Loss: 5.5743\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 97%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–‹| 58/60 [02:50<00:05, 2.96s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [58/60], D Loss: 0.1347, G Loss: 7.4654\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 98%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Љ| 59/60 [02:53<00:02, 2.94s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [59/60], D Loss: 0.0740, G Loss: 8.1846\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "100%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–€| 60/60 [02:56<00:00, 2.93s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [60/60], D Loss: 0.1470, G Loss: 5.7711\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "from tqdm import tqdm\n",
+ "\n",
+ "# Определение количества эпох\n",
+ "epochs = 60 # Можно увеличить для лучшего качества\n",
+ "\n",
+ "# Цикл обучения\n",
+ "for epoch in tqdm(range(epochs)):\n",
+ " for i, (real_images, _) in enumerate(train_loader):\n",
+ " real_images = real_images.to(device)\n",
+ " batch_size = real_images.size(0)\n",
+ "\n",
+ " # Создание меток для реальных и фейковых изображений\n",
+ " real_labels = torch.ones(batch_size, 1).to(device) # Метки для реальных изображений (1)\n",
+ " fake_labels = torch.zeros(batch_size, 1).to(device) # Метки для фейковых изображений (0)\n",
+ "\n",
+ " # Обучение дискриминатора\n",
+ " optimizer_d.zero_grad() # Обнуляем градиенты дискриминатора\n",
+ "\n",
+ " # Реальные изображения\n",
+ " outputs = discriminator(real_images) # Прогоняем реальные изображения через дискриминатор\n",
+ " d_loss_real = criterion(outputs, real_labels) # Вычисляем потери для реальных изображений\n",
+ " d_loss_real.backward() # Обратное распространение ошибки\n",
+ "\n",
+ " # Фейковые изображения\n",
+ " noise = torch.randn(batch_size, 100).to(device) # Создаем случайный шум\n",
+ " fake_images = generator(noise) # Генерируем фейковые изображения\n",
+ " outputs = discriminator(fake_images.detach()) # Прогоняем фейковые изображения через дискриминатор\n",
+ " d_loss_fake = criterion(outputs, fake_labels) # Вычисляем потери для фейковых изображений\n",
+ " d_loss_fake.backward() # Обратное распространение ошибки\n",
+ "\n",
+ " d_loss = d_loss_real + d_loss_fake # Общий loss для дискриминатора\n",
+ " optimizer_d.step() # Шаг оптимизатора дискриминатора\n",
+ "\n",
+ " # Обучение генератора\n",
+ " optimizer_g.zero_grad() # Обнуляем градиенты генератора\n",
+ " outputs = discriminator(fake_images) # Прогоняем фейковые изображения через дискриминатор\n",
+ " g_loss = criterion(outputs, real_labels) # Вычисляем потери для генератора\n",
+ " g_loss.backward() # Обратное распространение ошибки\n",
+ " optimizer_g.step() # Шаг оптимизатора генератора\n",
+ "\n",
+ " # Вывод результатов текущей эпохи\n",
+ " print(f'Epoch [{epoch + 1}/{epochs}], D Loss: {d_loss.item():.4f}, G Loss: {g_loss.item():.4f}')\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "DYDEIbLoeMft"
+ },
+ "source": [
+ "### Сэмплирование изображений"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 800x800 with 64 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# Генерация случайного шума\n",
+ "z = torch.randn(64, 100).to(device) # 64 образца случайного шума размерности noise_dim (100)\n",
+ "\n",
+ "# Генерация изображений\n",
+ "with torch.no_grad(): # Отключаем вычисление градиентов\n",
+ " generated_images = generator(z).cpu().detach() # Перемещаем данные на CPU и отключаем граф вычислений\n",
+ "\n",
+ "# Визуализация изображений\n",
+ "fig, axes = plt.subplots(8, 8, figsize=(8, 8))\n",
+ "for i, ax in enumerate(axes.flat):\n",
+ " img = generated_images[i].view(28, 28).numpy() # Преобразуем тензор в изображение 28x28\n",
+ " ax.imshow(img, cmap=\"gray\")\n",
+ " ax.axis(\"off\")\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "kwM-kBNv1EBF"
+ },
+ "source": [
+ "## Conditional GAN"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "OKgD0qhJYqMG"
+ },
+ "source": [
+ "Аналогично с Conditional VAE попробуем улучшить качество генерации и получить возможность управлять ей при помощи создания Conditional GAN."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "tU6Gcyl3ZCrX"
+ },
+ "source": [
+ "### Условный генератор"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "_0nCZ7HHZFBH"
+ },
+ "source": [
+ "Чтобы придать генератору возможность работы с метками классов, необходимо добавить (сконкатенировать) эти самые метки с вектором шума. Как и раньше метки кодируются при помощи one-hot encoding. Соответственно, вам нужно учесть это дополнение при описании входного слоя модели.\n",
+ "\n",
+ "Архитектуры генератора и дискриминатора можете использовать аналогичные Vanilla GAN."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {
+ "id": "V4xyKWS3ZVyr"
+ },
+ "outputs": [],
+ "source": [
+ "class ConditionalGenerator(nn.Module):\n",
+ " def __init__(self, noise_dim=100, num_classes=10, output_shape=(1, 28, 28)):\n",
+ " super(ConditionalGenerator, self).__init__()\n",
+ " self.output_shape = output_shape\n",
+ " self.img_size = output_shape[0] * output_shape[1] * output_shape[2] # Размер выходного изображения\n",
+ "\n",
+ " self.fc = nn.Sequential(\n",
+ " # Линейный слой (noise_dim + num_classes, 256)\n",
+ " nn.Linear(noise_dim + num_classes, 256),\n",
+ " # Функция активации ReLU(True)\n",
+ " nn.ReLU(inplace=True),\n",
+ " # Линейный слой (256, 512)\n",
+ " nn.Linear(256, 512),\n",
+ " # Функция активации ReLU(True)\n",
+ " nn.ReLU(inplace=True),\n",
+ " # Линейный слой (512, 1024)\n",
+ " nn.Linear(512, 1024),\n",
+ " # Функция активации ReLU(True)\n",
+ " nn.ReLU(inplace=True),\n",
+ " # Линейный слой (1024, self.img_size)\n",
+ " nn.Linear(1024, self.img_size),\n",
+ " # Функция активации Tanh()\n",
+ " nn.Tanh()\n",
+ " )\n",
+ "\n",
+ " def forward(self, z, c):\n",
+ " # Объединяем шум z и условный вектор c\n",
+ " x = torch.cat([z, c], dim=1)\n",
+ " # Прогоняем объединённый вектор через fc\n",
+ " x = self.fc(x)\n",
+ " # Преобразуем результат в форму изображения\n",
+ " x = x.view(-1, *self.output_shape)\n",
+ " return x"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "42_REu8oZlcu"
+ },
+ "source": [
+ "### Условный дискриминатор"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "b1ghoN5IZ7_U"
+ },
+ "source": [
+ "С дискриминатором необходимо проделать аналогичные преобразования - добавить возможность подавать на вход вместе с изображением вектор метки класса."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "metadata": {
+ "id": "6S5cqAftaH-o"
+ },
+ "outputs": [],
+ "source": [
+ "class ConditionalDiscriminator(nn.Module):\n",
+ " def __init__(self, input_shape=(1, 28, 28), num_classes=10):\n",
+ " super(ConditionalDiscriminator, self).__init__()\n",
+ " self.input_shape = input_shape\n",
+ " self.num_classes = num_classes\n",
+ "\n",
+ " # Вычисляем размерность изображения (произведение размерностей input_shape)\n",
+ " self.img_dim = input_shape[0] * input_shape[1] * input_shape[2]\n",
+ "\n",
+ " # Определяем размер входного вектора (сумма img_dim и num_classes)\n",
+ " input_dim = self.img_dim + num_classes\n",
+ "\n",
+ " # Определяем последовательность слоёв\n",
+ " self.fc = nn.Sequential(\n",
+ " # Линейный слой (input_dim, 1024)\n",
+ " nn.Linear(input_dim, 1024),\n",
+ " # Функция активации LeakyReLU(0.2, inplace=True)\n",
+ " nn.LeakyReLU(0.2, inplace=True),\n",
+ " # Линейный слой (1024, 512)\n",
+ " nn.Linear(1024, 512),\n",
+ " # Функция активации LeakyReLU(0.2, inplace=True)\n",
+ " nn.LeakyReLU(0.2, inplace=True),\n",
+ " # Линейный слой (512, 256)\n",
+ " nn.Linear(512, 256),\n",
+ " # Функция активации LeakyReLU(0.2, inplace=True)\n",
+ " nn.LeakyReLU(0.2, inplace=True),\n",
+ " # Линейный слой (256, 1)\n",
+ " nn.Linear(256, 1),\n",
+ " # Функция активации Sigmoid()\n",
+ " nn.Sigmoid()\n",
+ " )\n",
+ "\n",
+ " def forward(self, img, c):\n",
+ " # Разглаживаем изображение в вектор (размерность: batch_size x img_dim)\n",
+ " img_flat = img.view(img.size(0), -1)\n",
+ " \n",
+ " # Объединяем векторы изображения и метки классов\n",
+ " x = torch.cat([img_flat, c], dim=1)\n",
+ " \n",
+ " # Прогоняем объединённый вектор через модель\n",
+ " x = self.fc(x)\n",
+ " return x\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "46gZDDf5aoKV"
+ },
+ "source": [
+ "### Подготовка к обучению"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {
+ "id": "j8suYX3BaqIP"
+ },
+ "outputs": [],
+ "source": [
+ "import torchvision.transforms as transforms\n",
+ "\n",
+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+ "\n",
+ "batch_size = 128\n",
+ "lr = 0.0004\n",
+ "noise_dim = 100\n",
+ "num_classes = 10\n",
+ "\n",
+ "transform = transforms.Compose([\n",
+ " transforms.ToTensor(),\n",
+ " transforms.Normalize((0.5,), (0.5,))\n",
+ "])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 105,
+ "metadata": {
+ "id": "d8JAaBRxarAP"
+ },
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'ConditionalGenerator' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[105], line 13\u001b[0m\n\u001b[1;32m 10\u001b[0m device \u001b[38;5;241m=\u001b[39m torch\u001b[38;5;241m.\u001b[39mdevice(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcuda\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mcuda\u001b[38;5;241m.\u001b[39mis_available() \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcpu\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 12\u001b[0m \u001b[38;5;66;03m# Рнициализация моделей\u001b[39;00m\n\u001b[0;32m---> 13\u001b[0m generator \u001b[38;5;241m=\u001b[39m \u001b[43mConditionalGenerator\u001b[49m(noise_dim\u001b[38;5;241m=\u001b[39mnoise_dim, num_classes\u001b[38;5;241m=\u001b[39mnum_classes, output_shape\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m28\u001b[39m, \u001b[38;5;241m28\u001b[39m))\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[1;32m 14\u001b[0m discriminator \u001b[38;5;241m=\u001b[39m ConditionalDiscriminator(input_shape\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m28\u001b[39m, \u001b[38;5;241m28\u001b[39m), num_classes\u001b[38;5;241m=\u001b[39mnum_classes)\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[1;32m 16\u001b[0m \u001b[38;5;66;03m# Функция потерь (Binary Cross Entropy)\u001b[39;00m\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'ConditionalGenerator' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "import torchvision\n",
+ "import torch.optim as optim\n",
+ "\n",
+ "\n",
+ "# Загрузка данных\n",
+ "train_dataset = torchvision.datasets.MNIST(root='./data', train=True, download=True, transform=transform)\n",
+ "train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=batch_size, shuffle=True)\n",
+ "\n",
+ "# Определение устройства (GPU или CPU)\n",
+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
+ "\n",
+ "# Рнициализация моделей\n",
+ "generator = ConditionalGenerator(noise_dim=noise_dim, num_classes=num_classes, output_shape=(1, 28, 28)).to(device)\n",
+ "discriminator = ConditionalDiscriminator(input_shape=(1, 28, 28), num_classes=num_classes).to(device)\n",
+ "\n",
+ "# Функция потерь (Binary Cross Entropy)\n",
+ "criterion = nn.BCELoss()\n",
+ "\n",
+ "# Оптимизаторы\n",
+ "optimizer_G = optim.Adam(generator.parameters(), lr=0.0002, betas=(0.5, 0.999)) # Оптимизатор для генератора\n",
+ "optimizer_D = optim.Adam(discriminator.parameters(), lr=0.0002, betas=(0.5, 0.999)) # Оптимизатор для дискриминатора"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "NWKFCWkha7DG"
+ },
+ "source": [
+ "### Обучение"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {
+ "id": "ChRirmcJa8_g"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 2%|в–Џ | 1/50 [00:04<03:27, 4.24s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [1/50], D Loss: 0.9419, G Loss: 7.0609\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 4%|в–Ќ | 2/50 [00:08<03:23, 4.23s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [2/50], D Loss: 0.6108, G Loss: 9.2260\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 6%|в–Њ | 3/50 [00:12<03:18, 4.22s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [3/50], D Loss: 0.4993, G Loss: 1.8605\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 8%|в–Љ | 4/50 [00:16<03:13, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [4/50], D Loss: 0.0397, G Loss: 5.6352\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 10%|в–€ | 5/50 [00:21<03:09, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [5/50], D Loss: 0.0435, G Loss: 7.6307\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 12%|в–€в–Џ | 6/50 [00:25<03:04, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [6/50], D Loss: 0.1825, G Loss: 3.6493\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 14%|в–€в–Ќ | 7/50 [00:29<03:00, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [7/50], D Loss: 0.6520, G Loss: 5.4721\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 16%|в–€в–Њ | 8/50 [00:33<02:56, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [8/50], D Loss: 0.0987, G Loss: 5.5440\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 18%|в–€в–Љ | 9/50 [00:37<02:52, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [9/50], D Loss: 0.1311, G Loss: 4.4852\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 20%|в–€в–€ | 10/50 [00:42<02:48, 4.22s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [10/50], D Loss: 0.2002, G Loss: 3.4161\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 22%|в–€в–€в–Џ | 11/50 [00:46<02:44, 4.22s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [11/50], D Loss: 0.5059, G Loss: 5.2783\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 24%|в–€в–€в–Ќ | 12/50 [00:50<02:39, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [12/50], D Loss: 0.2273, G Loss: 3.0231\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 26%|в–€в–€в–Њ | 13/50 [00:54<02:35, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [13/50], D Loss: 0.7044, G Loss: 3.8202\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 28%|в–€в–€в–Љ | 14/50 [00:58<02:31, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [14/50], D Loss: 0.6949, G Loss: 1.5043\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 30%|в–€в–€в–€ | 15/50 [01:03<02:27, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [15/50], D Loss: 1.0762, G Loss: 1.7241\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 32%|в–€в–€в–€в–Џ | 16/50 [01:07<02:22, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [16/50], D Loss: 0.7100, G Loss: 1.5699\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 34%|в–€в–€в–€в–Ќ | 17/50 [01:11<02:18, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [17/50], D Loss: 0.8954, G Loss: 2.4123\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 36%|в–€в–€в–€в–Њ | 18/50 [01:15<02:14, 4.19s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [18/50], D Loss: 0.8724, G Loss: 2.3131\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 38%|в–€в–€в–€в–Љ | 19/50 [01:19<02:10, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [19/50], D Loss: 0.7353, G Loss: 1.6425\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 40%|в–€в–€в–€в–€ | 20/50 [01:24<02:06, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [20/50], D Loss: 0.8433, G Loss: 1.4124\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 42%|в–€в–€в–€в–€в–Џ | 21/50 [01:28<02:02, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [21/50], D Loss: 0.9966, G Loss: 1.1175\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 44%|в–€в–€в–€в–€в–Ќ | 22/50 [01:32<01:57, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [22/50], D Loss: 1.2947, G Loss: 1.0726\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 46%|в–€в–€в–€в–€в–Њ | 23/50 [01:36<01:53, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [23/50], D Loss: 1.0176, G Loss: 1.4324\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 48%|в–€в–€в–€в–€в–Љ | 24/50 [01:40<01:49, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [24/50], D Loss: 0.9440, G Loss: 1.6966\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 50%|в–€в–€в–€в–€в–€ | 25/50 [01:45<01:45, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [25/50], D Loss: 1.1047, G Loss: 1.7365\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 52%|в–€в–€в–€в–€в–€в–Џ | 26/50 [01:49<01:40, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [26/50], D Loss: 1.1798, G Loss: 1.0592\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 54%|в–€в–€в–€в–€в–€в–Ќ | 27/50 [01:53<01:36, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [27/50], D Loss: 1.0541, G Loss: 1.4601\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 56%|в–€в–€в–€в–€в–€в–Њ | 28/50 [01:57<01:32, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [28/50], D Loss: 1.0967, G Loss: 1.4413\n"
+ ]
+ },
+ {
+ "name": "stderr",
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+ "text": [
+ " 58%|в–€в–€в–€в–€в–€в–Љ | 29/50 [02:01<01:28, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [29/50], D Loss: 1.3514, G Loss: 0.7384\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 60%|в–€в–€в–€в–€в–€в–€ | 30/50 [02:06<01:24, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [30/50], D Loss: 1.4408, G Loss: 2.5742\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 62%|в–€в–€в–€в–€в–€в–€в–Џ | 31/50 [02:10<01:19, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [31/50], D Loss: 1.0118, G Loss: 1.3417\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 64%|в–€в–€в–€в–€в–€в–€в–Ќ | 32/50 [02:14<01:15, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [32/50], D Loss: 1.0858, G Loss: 1.5740\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 66%|в–€в–€в–€в–€в–€в–€в–Њ | 33/50 [02:18<01:11, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [33/50], D Loss: 1.1150, G Loss: 1.1177\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 68%|в–€в–€в–€в–€в–€в–€в–Љ | 34/50 [02:22<01:07, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [34/50], D Loss: 1.3285, G Loss: 0.8102\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 70%|в–€в–€в–€в–€в–€в–€в–€ | 35/50 [02:27<01:03, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [35/50], D Loss: 1.1840, G Loss: 1.5429\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 72%|в–€в–€в–€в–€в–€в–€в–€в–Џ | 36/50 [02:31<00:58, 4.20s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [36/50], D Loss: 1.0576, G Loss: 1.2427\n"
+ ]
+ },
+ {
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+ "output_type": "stream",
+ "text": [
+ " 74%|в–€в–€в–€в–€в–€в–€в–€в–Ќ | 37/50 [02:35<00:54, 4.21s/it]"
+ ]
+ },
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+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [37/50], D Loss: 1.1635, G Loss: 1.2110\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 76%|в–€в–€в–€в–€в–€в–€в–€в–Њ | 38/50 [02:39<00:50, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [38/50], D Loss: 1.1574, G Loss: 1.3788\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 78%|в–€в–€в–€в–€в–€в–€в–€в–Љ | 39/50 [02:44<00:46, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [39/50], D Loss: 1.0805, G Loss: 1.1239\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 80%|в–€в–€в–€в–€в–€в–€в–€в–€ | 40/50 [02:48<00:42, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [40/50], D Loss: 1.1504, G Loss: 1.0522\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 82%|в–€в–€в–€в–€в–€в–€в–€в–€в–Џ | 41/50 [02:52<00:37, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [41/50], D Loss: 1.1084, G Loss: 1.1205\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 84%|в–€в–€в–€в–€в–€в–€в–€в–€в–Ќ | 42/50 [02:56<00:33, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [42/50], D Loss: 1.5150, G Loss: 2.3061\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 86%|в–€в–€в–€в–€в–€в–€в–€в–€в–Њ | 43/50 [03:00<00:29, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [43/50], D Loss: 1.0899, G Loss: 1.2733\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 88%|в–€в–€в–€в–€в–€в–€в–€в–€в–Љ | 44/50 [03:05<00:25, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [44/50], D Loss: 1.0593, G Loss: 1.1797\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 90%|в–€в–€в–€в–€в–€в–€в–€в–€в–€ | 45/50 [03:09<00:21, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [45/50], D Loss: 1.0697, G Loss: 1.0124\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 92%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Џ| 46/50 [03:13<00:16, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [46/50], D Loss: 1.0952, G Loss: 1.0974\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 94%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Ќ| 47/50 [03:17<00:12, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [47/50], D Loss: 1.1946, G Loss: 0.6975\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 96%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Њ| 48/50 [03:21<00:08, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [48/50], D Loss: 1.1369, G Loss: 2.1023\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ " 98%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–Љ| 49/50 [03:26<00:04, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [49/50], D Loss: 1.2606, G Loss: 1.7080\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "100%|в–€в–€в–€в–€в–€в–€в–€в–€в–€в–€| 50/50 [03:30<00:00, 4.21s/it]"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch [50/50], D Loss: 1.0443, G Loss: 0.9491\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "from tqdm import tqdm\n",
+ "\n",
+ "# Определение количества эпох\n",
+ "epochs = 50 # Можно увеличить для лучшего качества\n",
+ "\n",
+ "# Цикл обучения\n",
+ "for epoch in tqdm(range(epochs)):\n",
+ " for i, (real_images, labels) in enumerate(train_loader):\n",
+ " real_images = real_images.to(device)\n",
+ " batch_size = real_images.size(0)\n",
+ "\n",
+ " # Создание меток для реальных и фейковых изображений\n",
+ " real_labels = torch.ones(batch_size, 1).to(device) # Метки для реальных изображений (1)\n",
+ " fake_labels = torch.zeros(batch_size, 1).to(device) # Метки для фейковых изображений (0)\n",
+ "\n",
+ " # Преобразуем метки в one-hot кодировку\n",
+ " c = torch.zeros(batch_size, num_classes).to(device)\n",
+ " c[torch.arange(batch_size), labels] = 1 # One-hot РєРѕРґРёСЂРѕРІРєР°\n",
+ "\n",
+ " # Обучение дискриминатора\n",
+ " optimizer_D.zero_grad() # Обнуляем градиенты дискриминатора\n",
+ "\n",
+ " # Реальные изображения\n",
+ " outputs = discriminator(real_images, c) # Прогоняем реальные изображения через дискриминатор\n",
+ " d_loss_real = criterion(outputs, real_labels) # Вычисляем потери для реальных изображений\n",
+ " d_loss_real.backward() # Обратное распространение ошибки\n",
+ "\n",
+ " # Фейковые изображения\n",
+ " noise = torch.randn(batch_size, noise_dim).to(device) # Создаем случайный шум\n",
+ " fake_images = generator(noise, c) # Генерируем фейковые изображения\n",
+ " outputs = discriminator(fake_images.detach(), c) # Прогоняем фейковые изображения через дискриминатор\n",
+ " d_loss_fake = criterion(outputs, fake_labels) # Вычисляем потери для фейковых изображений\n",
+ " d_loss_fake.backward() # Обратное распространение ошибки\n",
+ "\n",
+ " d_loss = d_loss_real + d_loss_fake # Общий loss для дискриминатора\n",
+ " optimizer_D.step() # Шаг оптимизатора дискриминатора\n",
+ "\n",
+ " # Обучение генератора\n",
+ " optimizer_G.zero_grad() # Обнуляем градиенты генератора\n",
+ " outputs = discriminator(fake_images, c) # Прогоняем фейковые изображения через дискриминатор\n",
+ " g_loss = criterion(outputs, real_labels) # Вычисляем потери для генератора\n",
+ " g_loss.backward() # Обратное распространение ошибки\n",
+ " optimizer_G.step() # Шаг оптимизатора генератора\n",
+ "\n",
+ " # Вывод результатов текущей эпохи\n",
+ " print(f'Epoch [{epoch + 1}/{epochs}], D Loss: {d_loss.item():.4f}, G Loss: {g_loss.item():.4f}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "63SQ5oqYdeIy"
+ },
+ "source": [
+ "### Сэмплирование изображений"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "metadata": {
+ "id": "3ogkNBG9dv8s"
+ },
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 800x800 with 64 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import torch\n",
+ "import torch.nn.functional as F\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# Генерация случайного шума и меток классов\n",
+ "with torch.no_grad():\n",
+ " # 64 образца случайного шума, каждый из которых имеет размерность noise_dim\n",
+ " sample_noise = torch.randn(64, noise_dim).to(device)\n",
+ " \n",
+ " # Метки классов от 0 до 9, повторяющиеся для 64 изображений\n",
+ " sample_labels = torch.arange(0, 64, device=device) % num_classes\n",
+ " \n",
+ " # Преобразуем метки в one-hot кодировку\n",
+ " sample_labels_onehot = F.one_hot(sample_labels, num_classes=num_classes).float().to(device)\n",
+ " \n",
+ " # Генерация изображений с помощью генератора\n",
+ " fake_samples = generator(sample_noise, sample_labels_onehot)\n",
+ "\n",
+ " # Визуализация изображений\n",
+ " fig, axes = plt.subplots(8, 8, figsize=(8, 8))\n",
+ " for i, ax in enumerate(axes.flat):\n",
+ " img = fake_samples[i].cpu().view(28, 28).numpy() # Преобразуем тензор в изображение 28x28\n",
+ " ax.imshow(img, cmap=\"gray\", interpolation=\"nearest\")\n",
+ " ax.set_title(f\"Label: {sample_labels[i].item()}\", fontsize=8) # Заголовок с меткой класса\n",
+ " ax.axis(\"off\") # Убираем оси\n",
+ "\n",
+ " plt.tight_layout()\n",
+ " plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "NDL1cp3v9bup",
+ "jp-MarkdownHeadingCollapsed": true
+ },
+ "source": [
+ "# Примеры генераций, которые должны у вас получиться"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "uM76afNYBtNA"
+ },
+ "source": [
+ "## Vanilla VAE"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "XW_C_Wi0CCYx"
+ },
+ "source": [
+ "Восстановление"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "lOLfzhreCOca"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "_sIRVcf9CDnI"
+ },
+ "source": [
+ "Генерация"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "a0pmyOc6Cs0o"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "a2UbvJl19nnJ"
+ },
+ "source": [
+ "## CVAE"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "vr5CDEHOCKNd"
+ },
+ "source": [
+ "Восстановление"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "IGNS-okeDT1J"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "RZeV7jUNCNAq"
+ },
+ "source": [
+ "Генерация"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "psLRtVx4DV_h"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "FoltkEuwBqax"
+ },
+ "source": [
+ "## Улучшенный CVAE"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "XnlNgykqCKnK"
+ },
+ "source": [
+ "Восстановление"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "VD9qtzs-Dwtw"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "X20BPiF-CNSy"
+ },
+ "source": [
+ "Генерация"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "vwGSpVa1DzmI"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "l3KHyByiFN1I"
+ },
+ "source": [
+ "## Vanilla GAN"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "PlYtYsAy-hJS"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "BvNjnuuiFWko"
+ },
+ "source": [
+ "## CGAN"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "h4Jdjc4H-smZ"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "dGsQ_Cr6ClD0"
+ },
+ "source": [
+ "# Задача 3: Задачи со звёздочкой\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "vggOGFdK_UOn"
+ },
+ "source": [
+ "## Анализ латентного пространства и интерполяция (для VAE и GAN)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "uUGR2iVcC-R4"
+ },
+ "source": [
+ "Проведите интерполяцию между двумя изображениями: выберите две точки в латентном пространстве и сгенерируйте промежуточные изображения.\n",
+ "\n",
+ "Оцените, насколько плавно и семантически осмысленно происходит переход между различными классами."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1500x300 with 20 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import torch\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "z1 = torch.randn(1, noise_dim).to(device)\n",
+ "z2 = torch.randn(1, noise_dim).to(device)\n",
+ "\n",
+ "label1 = 4\n",
+ "label2 = 3\n",
+ "c1 = F.one_hot(torch.tensor([label1]), num_classes=num_classes).float().to(device)\n",
+ "c2 = F.one_hot(torch.tensor([label2]), num_classes=num_classes).float().to(device)\n",
+ "\n",
+ "\n",
+ "num_interpolations = 20\n",
+ "interpolated_images = []\n",
+ "for alpha in np.linspace(0, 1, num_interpolations):\n",
+ " z = alpha * z1 + (1 - alpha) * z2 # Рнтерполяция шума\n",
+ " c = alpha * c1 + (1 - alpha) * c2 # Рнтерполяция меток классов\n",
+ " with torch.no_grad():\n",
+ " generated_img = generator(z, c).cpu().squeeze() \n",
+ " interpolated_images.append(generated_img)\n",
+ "\n",
+ "\n",
+ "plt.figure(figsize=(15, 3))\n",
+ "for i, img in enumerate(interpolated_images):\n",
+ " plt.subplot(1, num_interpolations, i + 1)\n",
+ " plt.imshow(img, cmap='gray')\n",
+ " plt.axis('off')\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Рндекс для цифры 3: 18\n",
+ "Рндекс для цифры 4: 4\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Находим индексы для цифр 3 и 4\n",
+ "idx_3 = None\n",
+ "idx_4 = None\n",
+ "\n",
+ "for idx, (img, label) in enumerate(test_dataset):\n",
+ " if label == 3 and idx_3 is None:\n",
+ " idx_3 = idx\n",
+ " if label == 4 and idx_4 is None:\n",
+ " idx_4 = idx\n",
+ " if idx_3 is not None and idx_4 is not None:\n",
+ " break\n",
+ "\n",
+ "print(f\"Рндекс для цифры 3: {idx_3}\")\n",
+ "print(f\"Рндекс для цифры 4: {idx_4}\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<Figure size 1500x300 with 20 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import torch\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# Переключаем модель в режим оценки\n",
+ "model.eval()\n",
+ "\n",
+ "\n",
+ "idx1, idx2 = 4, 18 # Рндексы изображений\n",
+ "img1, label1 = test_dataset[idx1]\n",
+ "img2, label2 = test_dataset[idx2]\n",
+ "\n",
+ "img1 = img1.to(device).unsqueeze(0) \n",
+ "img2 = img2.to(device).unsqueeze(0)\n",
+ "\n",
+ "c1 = F.one_hot(torch.tensor([label1]), num_classes=num_classes).float().to(device)\n",
+ "c2 = F.one_hot(torch.tensor([label2]), num_classes=num_classes).float().to(device)\n",
+ "\n",
+ "with torch.no_grad():\n",
+ " mu1, logvar1 = model.encoder(img1, c1)\n",
+ " mu2, logvar2 = model.encoder(img2, c2)\n",
+ "\n",
+ "# Линейная интерполяция между латентными векторами\n",
+ "num_interpolations = 20\n",
+ "interpolated_images = []\n",
+ "for alpha in np.linspace(0, 1, num_interpolations):\n",
+ " z = alpha * mu1 + (1 - alpha) * mu2 # Рнтерполяция\n",
+ " c = alpha * c1 + (1 - alpha) * c2 # Рнтерполяция меток классов\n",
+ " with torch.no_grad():\n",
+ " generated_img = model.decoder(z, c).cpu().squeeze() # Генерация изображения\n",
+ " interpolated_images.append(generated_img)\n",
+ "\n",
+ "\n",
+ "# Визуализация интерполяции\n",
+ "plt.figure(figsize=(15, 3))\n",
+ "for i, img in enumerate(interpolated_images):\n",
+ " plt.subplot(1, num_interpolations, i + 1)\n",
+ " plt.imshow(img.reshape(28, 28), cmap='gray') # Рзменяем форму РЅР° (28, 28)\n",
+ " plt.axis('off')\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "_jzjvI4MaLSS"
+ },
+ "source": [
+ "## Примеры результатов визуализации интерполяции"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "NwY8MHmfaSwy"
+ },
+ "source": [
+ "### VAE"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "aGT86iJaa8vy"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "F8kzbUNXaQp6"
+ },
+ "source": [
+ "### GAN"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "vN75y_dCa0eB"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "KvZjZifD1vba"
+ },
+ "source": [
+ "# Формат сдачи\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "PPYQiqxz9TuJ"
+ },
+ "source": [
+ "## Без защиты\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "FwlTPfyK9XTZ"
+ },
+ "source": [
+ "Без защиты можно получить только оценку 4 за задание. Для сдачи работы без защиты нужно будет предоставить следующие артефакты:\n",
+ " 1. Ссылка РЅР° jupiter notebook РІ РіРёС‚-репозитории, РіРґРµ Р±СѓРґСѓС‚ РІРёРґРЅС‹ ваши изменённые пути Рё результаты работы команд для пункта 1. Рспользуйте репозиторий РёР· предыдущей работы, РЅРѕ разместите артефакты РџР 3 РІ отдельной папке.\n",
+ " 2. Ссылка на гугл-диск с исходным и итоговым видео.\n",
+ "\n",
+ "Ссылки на все артефакты должны быть загружены в LMS до дедлайна. Кнопка \"отправлено\" должна быть нажата, черновики не рассматриваются.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "lfwACSDX9WBh"
+ },
+ "source": [
+ "## С защитой\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "WONQAKvj9YZK"
+ },
+ "source": [
+ "Если вы выполняете задания из пунктов 2-6, то их результаты обсуждаются на очной защите.\n",
+ "Для очной защиты необходимо предоставить следующее:\n",
+ " 1. Ссылка РЅР° jupiter notebook РІ РіРёС‚-репозитории, РіРґРµ Р±СѓРґСѓС‚ РІРёРґРЅС‹ ваши изменённые пути Рё результаты работы команд для пункта 1. Рспользуйте репозиторий РёР· предыдущей работы, РЅРѕ разместите артефакты РџР 3 РІ отдельной папке (РІ LMS).\n",
+ " 2. Ссылка на гугл-диск со всеми исходными и итоговыми видео (в LMS).\n",
+ " 3. Демонстрация работы и ее объяснение в каждом пункте.\n",
+ " 4. Объяснение получившихся результатов в каждом пункте."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "IzhqqDZUFn_O"
+ },
+ "source": [
+ "4. Сравнительный анализ (20 баллов)\n",
+ "Визуальное сравнение: Создайте сетку 3x10, сравнив образцы всех моделей.\n",
+ "\n",
+ "Теоретический анализ:\n",
+ "\n",
+ "* Какая модель дает самые четкие изображения? Почему?\n",
+ "\n",
+ "* В каких случаях вы бы выбрали VAE, а не GAN для генерации?\n",
+ "\n",
+ "* Каковы вычислительные компромиссы между DDPM и GAN?\n",
+ "\n",
+ "* Рефлексия: Какая архитектура модели показалась вам наиболее интересной? Почему?\n",
+ "\n",
+ "Требования к оформлению\n",
+ "* Завершенный блокнот с рабочим кодом\n",
+ "* Учебные визуализации и примеры результатов\n",
+ "* Краткие ответы на все теоретические вопросы\n",
+ "* 1-страничное резюме основных выводов в формате PDF\n",
+ "\n",
+ "Набор данных: MNIST (предоставлен через torchvision.datasets)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "IPyrtpAXEVWt"
+ },
+ "source": [
+ "Задача 5: Сравнительный анализ моделей\n",
+ "* Описание:\n",
+ " * Напишите отчет, в котором сравните GAN, VAE и DDPM по следующим критериям:\n",
+ " * Качество генерируемых изображений.\n",
+ " * Сходимость и стабильность обучения.\n",
+ " * Возможности управления латентным пространством.\n",
+ " * Применимость к различным типам данных.\n",
+ "* **Практическая часть**:\n",
+ " * Проведите эксперимент с одной и той же архитектурой (или на одном наборе данных) для всех трех моделей.\n",
+ " * Представьте сравнительные графики, примеры сгенерированных изображений и выводы по каждой модели."
+ ]
+ }
+ ],
+ "metadata": {
+ "accelerator": "GPU",
+ "colab": {
+ "collapsed_sections": [
+ "_jzjvI4MaLSS",
+ "NwY8MHmfaSwy",
+ "F8kzbUNXaQp6",
+ "KvZjZifD1vba"
+ ],
+ "gpuType": "T4",
+ "provenance": [],
+ "toc_visible": true
+ },
+ "kernelspec": {
+ "display_name": "un-copy",
+ "language": "python",
+ "name": "un-copy"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.0"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
--
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