remove excess whitespace

JuliaNonconvex · Apr 21, 2021 · 6e09bef · 6e09bef
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@@ -105,7 +105,6 @@ r.minimizer
 ## Custom gradient / adjoint
 
 A custom gradient rule for a function should be defined using ChainRulesCore's `rrule`.
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 For example the following can be used for the function `f` defined above.
 
 ```julia
@@ -126,7 +125,6 @@ test_rrule(f, [1.2, 3.6])
 
 For full details on `rrules` etc see the [ChainRules documentation](https://juliadiff.org/ChainRulesCore.jl/stable/).
 
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 ## Hack to use other automatic differentiation backends
 
 For specific functions, if you want to use `ForwardDiff` instead of `Zygote`, one way to do this is to define an `rrule` using `ForwardDiff` to compute the gradient or jacobian, e.g: