Solved by ptrblck in post #4 
              
              
                The easiest way would be to plot them before normalizing. 
However, if that’s not possible, you could also undo the normalization: 
x = torch.empty(3, 224, 224).uniform_(0, 1)
mean = (0.5, 0.5, 0.5)
std = (0.5, 0.5, 0.5)
norm = transforms.Normalize(mean, std)
x_norm = norm(x) 

x_restore = x_norm * …