645c7c386e62d2fb1d50f4621c1a52645a13869f,super_resolution/main.py,,test,#,71

Before Change

def test():
    avg_psnr = 0
    for batch in testing_data_loader:
        input, target = Variable(batch[0]), Variable(batch[1])
        if cuda:
            input = input.cuda()
            target = target.cuda()

        prediction = model(input)
        mse = criterion(prediction, target)
        psnr = 10 * log10(1 / mse.data[0])
        avg_psnr += psnr
    print("===> Avg. PSNR: {:.4f} dB".format(avg_psnr / len(testing_data_loader)))


def checkpoint(epoch):

After Change

def test():
    avg_psnr = 0
    with torch.no_grad():
        for batch in testing_data_loader:
            input, target = batch[0].to(device), batch[1].to(device)

            prediction = model(input)
            mse = criterion(prediction, target)
            psnr = 10 * log10(1 / mse.item())
            avg_psnr += psnr
    print("===> Avg. PSNR: {:.4f} dB".format(avg_psnr / len(testing_data_loader)))


def checkpoint(epoch):

Instances