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Update lib/OptimizationManopt/src/OptimizationManopt.jl
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lib/OptimizationManopt/src/OptimizationManopt.jl

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@@ -256,9 +256,6 @@ function build_loss(f::OptimizationFunction, prob, cb)
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end
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end
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# cf. https://github.com/SciML/SciMLBase.jl/blob/master/src/problems/optimization_problems.jl
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# {iip} is the parameter here – nowhere explained but very much probably “is in place”
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# so this refers to whether the gradient/hessian is computed in place or not
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function build_gradF(f::OptimizationFunction{true})
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function g(M::AbstractManifold, G, θ)
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f.grad(G, θ)

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