# Which function in julia.Flux is similar to "detach()" in pytorch?

**URL:** <https://discourse.julialang.org/t/which-function-in-julia-flux-is-similar-to-detach-in-pytorch/118757>\
**Category:** Machine Learning\
**Created:** [August 29, 2024, 8:10am UTC](https://discourse.julialang.org/t/which-function-in-julia-flux-is-similar-to-detach-in-pytorch/118757 "2024-08-29T08:10:27Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![ZC\_H](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/zc_h/32/207967_2.png) [@ZC\_H](https://discourse.julialang.org/u/ZC_H)\
**Post date:** [August 29, 2024, 8:10am UTC](https://discourse.julialang.org/t/which-function-in-julia-flux-is-similar-to-detach-in-pytorch/118757/1 "2024-08-29T08:10:27Z")

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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? 😟

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**Author:** ![CarloLucibello](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/carlolucibello/32/3278_2.png) [@CarloLucibello](https://discourse.julialang.org/u/CarloLucibello)\
**Post date:** [August 29, 2024, 8:27am UTC](https://discourse.julialang.org/t/which-function-in-julia-flux-is-similar-to-detach-in-pytorch/118757/2 "2024-08-29T08:27:01Z")

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Probably [ignore\_derivatives](https://fluxml.ai/Flux.jl/stable/reference/training/zygote/#ChainRulesCore.ignore_derivatives) is what you are looking for.

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**Author:** ![ZC\_H](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/zc_h/32/207967_2.png) [@ZC\_H](https://discourse.julialang.org/u/ZC_H)\
**Post date:** [August 29, 2024, 8:59am UTC](https://discourse.julialang.org/t/which-function-in-julia-flux-is-similar-to-detach-in-pytorch/118757/3 "2024-08-29T08:59:36Z")

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yes, it is just the function I need! thank you very much! 🥰