# Utility functions for training machine learning models using PyTorch and calculating accuracy.
import torch

def get_device():
    if torch.cuda.is_available():
        return torch.device("cuda")
    return torch.device("cpu")


def accuracy(outputs, labels):
    preds = outputs.argmax(dim=1)
    correct = (preds == labels).sum().item()
    return correct / labels.size(0)