Hi all,
I have a tuple like this:
(tensor([[ 5.0027e-03, 1.3885e-03, -6.4720e-03, ..., 2.1762e-03,
2.0357e-03, 1.0070e-03],
[ 9.5693e-04, 7.5463e-04, -7.4230e-04, ..., -1.4247e-03,
-1.5754e-03, 2.6448e-03],
[ 7.9327e-03, 3.3485e-03, -9.9604e-04, ..., -4.5044e-03,
8.2048e-03, 4.0572e-03],
...,
[-2.9638e-03, -2.4065e-03, 2.5752e-03, ..., -3.0519e-06,
-4.8047e-03, 8.5964e-03],
[-3.7381e-03, -2.3508e-03, 5.2545e-03, ..., -9.0683e-03,
-1.0091e-02, 5.3170e-03],
[ 3.2105e-03, -3.0882e-03, -1.7957e-03, ..., -1.8002e-03,
-1.5211e-03, 4.3075e-03]]),)
Which was generated by torch.autograd.grad(). I was wondering how can I calculate the l2-norm of such a tuple?
Thanks!