Hi, I’m quite new to Julia and trying to understand automatic differentiation. I have a loss function for a model, and I’m trying to get the gradient and hessian w.r.t parameters fitted to the model. In doing so, comparing Zygote, ForwardDiff and ReverseDiff, I noticed that the values for the gradi…

I mentioned last time that there was an issue with uniqueness of times in the way that your model was originally posed, and you made that same issue again. If you fix that it’s fine: using DifferentialEquations, Flux, LinearAlgebra, DiffEqFlux, DiffEqSensitivity using ForwardDiff, FiniteDiff using …

Different results between Zygote, ForwardDiff, and ReverseDiff

New to Julia

Tamas_Papp September 13, 2020, 12:48pm 2

Normally, they should agree, so this can be a bug. An MWE replicating this would be helpful.