Function normalize

saliency_maps/scripts/utils.py:12–13

(x)

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

def normalize(x):
    return (x - x.min()) / (x.max() - x.min())

class mySequential(nn.Sequential):
    def forward(self, *input, **kwargs):