Hello
I have a tensor with probabilities, for example:
size 8000x2
print(probabilities)
0.5008  0.4992
0.5008  0.4992
0.5003  0.4997
⋮
0.4984  0.5016
0.5007  0.4993
0.4999  0.5001
[torch.FloatTensor of size 8000x2]
I would like to update it row by row but on variable column (index)
I created new tensor with indexes:
print(indices)
0
1
0
⋮
0
0
1
[torch.LongTensor of size 8000]
And I was able to display specific column (depending on indices)
print(probabilities.gather(1, indices.view(-1,1)))
0.5008
0.4992
0.5003
⋮
0.4984
0.5007
0.5001
[torch.FloatTensor of size 8000x1]
I can display it - but I don’t know how to update it
for example subtract -1 in every row on specific index specified by indices…
I guess I can do it through loop - but is there any other solution?
in numpy it’s possible with one liner
thanks for any help
regards,
Michael