# Gradient evaluation with ForwardDiff and LoopVectorization

**URL:** <https://discourse.julialang.org/t/gradient-evaluation-with-forwarddiff-and-loopvectorization/70262>\
**Category:** General Usage\
**Tags:** forwarddiff, loopvectorization\
**Created:** [October 23, 2021, 1:19pm UTC](https://discourse.julialang.org/t/gradient-evaluation-with-forwarddiff-and-loopvectorization/70262 "2021-10-23T13:19:57Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![Gravlax](https://avatars.discourse-cdn.com/v4/letter/g/dbc845/32.png) [@Gravlax](https://discourse.julialang.org/u/Gravlax)\
**Post date:** [October 24, 2021, 6:47pm UTC](https://discourse.julialang.org/t/gradient-evaluation-with-forwarddiff-and-loopvectorization/70262/3 "2021-10-24T18:47:14Z")

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Many thanks!!  
Your reply fully answers to my question, as well as this previous [one](https://discourse.julialang.org/t/sparse-matrix-coefficient-computation-with-forwarddiff-and-loopvectorization/69928).  
I see that trying to combine these tools is not a trivial activity… Your detailed example is very useful and enlightening - and thanks for the generals hints too!

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