So we started a new huge project for which we aim to use Optimization.jl with Enzyme.jl as AD backend. We came up with some early prototypes and plugged that into Optimization.jl, unfortunately not very succesful (It seems to be the case that the closures we need to provide to Optimization.jl intro…

For arrays in reverse mode, you should not use Active(x), but rather create a zero shadow of memory for it to store the derivatives into. In other words, something like: dx = zeros(4) autodiff(Reverse,vec_input_target,Active,Duplicated(x, dx)) # result is in dx

Autodiff of vector inputs with Enzyme.jl (and possibly Optimization.jl)

Specific Domains Optimization (Mathematical)

wsmoses August 16, 2023, 8:54am 10

Yeah post a bug report with a MWE if you can

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Autodiff of vector inputs with Enzyme.jl (and possibly Optimization.jl)

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