Q:

pytorch modify array with list of indices

Suppose I have a list of indices and wish to modify an existing array with this list. Currently the only way I can do this is by using a for loop as follows. Just wondering if there is a faster/ efficient way.
torch.manual_seed(0)
a = torch.randn(5,3)
idx = torch.Tensor([[1,2], [3,2]], dtype=torch.long)
for i,j in idx:
    a[i,j] = 1

I initially assumed that gather or index_select would go some way in answering this question, but looking at documentation this doesn't seem to be the answer.
In my particular case, a is a 5 dimensional vector and idx is a Nx5 vector. So the output (after subscripting with something like a[idx]) I'd expect is a (N,) shaped vector.
Answer
Thanks to @shai below, the answer that I was seeking was:
a[idx.t().chunk(chunks=2,dim=0)]. Taken from this SO answer.

A:

It's quite simple
a[idx[:,0], idx[:,1]] = 1

You can find a more general solution in this thread.

