#distance

This snippet was meant to compute the Manhattan distance between two vectors:

x1 = torch.tensor([6., 1., 4., 5.])
x2 = torch.tensor([2., 8., 3., -1.])
dist = torch.sqrt(torch.pow(x1 - x2, 2).sum())
print(dist)

What does it print? Round to 2 decimals.