I also report it. It is easily reproduce on Colab problem still remain.
x = torch.randn(1024, 256)
y = torch.randn(1024, 256)
%timeit torch.sqrt((x - y).pow(2).sum(1))
%timeit torch.norm(x - y, 2, 1)
x = x.cuda()
y = y.cuda()
%timeit torch.sqrt((x - y).pow(2).sum(1))
%timeit torch.norm(x - y, 2, 1)

results
1000 loops, best of 3: 465 µs per loop
100 loops, best of 3: 4.23 ms per loop
The slowest run took 5.25 times longer than the fastest. This could mean that an intermediate result is being cached.
10000 loops, best of 3: 44 µs per loop
The slowest run took 4.03 times longer than the fastest. This could mean that an intermediate result is being cached.
10000 loops, best of 3: 24 µs per loop