Автомакон I (техсобес)

Python

1. https://leetcode.com/problems/find-the-highest-altitude/description/
2. https://leetcode.com/problems/min-stack/description/
3. https://leetcode.com/problems/find-peak-element/description/
4. Заполнить пропуски так, чтобы код отрабатывал правильно (резрешили пользоваться ChatGPT)

import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
from torch.utils.data import DataLoader
 
transform = transforms.Compose([
    transforms.ToTensor(),
    transforms.Normalize((0.5, 0.5, 0.5),
                         (0.5, 0.5, 0.5))
])
 
# Загрузка данных
trainset = torchvision.datasets.CIFAR10(root='./data', train=True,
                                        download=True, transform=transform)
trainloader = DataLoader(trainset, batch_size=100,
                         shuffle=True, num_workers=2)
 
testset = torchvision.datasets.CIFAR10(root='./data', train=False,
                                       download=True, transform=transform)
testloader = DataLoader(testset, batch_size=100,
                        shuffle=False, num_workers=2)
 
classes = ('plane', 'car', 'bird', 'cat',
           'deer', 'dog', 'frog', 'horse', 'ship', 'truck')
 
 
class SimpleCNN(nn.Module):
    def __init__(self):
        ...
 
    def forward(self, x):
        ...
 
 
device = ...
print(f"Используемый девайс: {device}")
 
net = SimpleCNN().to(device)
 
criterion = ...
optimizer = ...
 
# Обучение
num_epochs = 2
 
# YOUR_TRAIN_EVAL_LOOP
 
    # print(f"Эпоха {epoch+1}/{num_epochs} | "
    #       f"Train Loss: {train_loss:.3f} | Train Acc: {train_accuracy:.2f}% | "
    #       f"Test Loss: {test_loss:.3f} | Test Acc: {test_accuracy:.2f}%")