When I train a network using pytorch, sometimes I do not what a tensor participate in gradient backward. But however, I cannot find a function that is similar to “detach()” in julia.Flux. So when I use julia to train a network, how can I make a tensor do not participate in gradient backward? 
Probably ignore_derivatives is what you are looking for.
3 Likes
yes, it is just the function I need! thank you very much! 