
import torch

def mse(img1, img2):
    return (((img1 - img2)) ** 2).view(img1.shape[0], -1).mean(1, keepdim=True)

def psnr(img1, img2):
    mse = (((img1 - img2)) ** 2).view(img1.shape[0], -1).mean(1, keepdim=True)
    return 20 * torch.log10(1.0 / torch.sqrt(mse))

def psnr_my(img1, img2):
    mse = (((img1 - img2)) ** 2).mean()
    return 20 * torch.log10(1.0 / torch.sqrt(mse))