Resolve R2 Allocation test #164
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dpo
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Dec 30, 2024
src/utils.jl
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| stats = GenericExecutionStats(reg_nlp.model, solver_specific = Dict{Symbol, T}()) | ||
| set_solver_specific!(stats, :smooth_obj, T(Inf)) | ||
| set_solver_specific!(stats, :nonsmooth_obj, T(Inf)) | ||
| set_solver_specific!(stats, :xi, T(Inf)) |
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I don't see how
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By dual feasibility, we mean the gradient of the Lagrangian (for smooth problems). Here, the corresponding concept is
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@dpo we should be good now I think. |
dpo
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Jan 14, 2025
This was referenced Jan 16, 2025
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@dpo @MohamedLaghdafHABIBOULLAH
I think this solves #161.
I added a function that constructs a
GenericExecutionStatson aRegularizedNLPModel.solver_specific entries are added during the construction, this removes the allocation in
solve!caused by adding an uninitialized solver_specific entry in stats.Also, for type stability, I had to specify that solver_specific entries are the same type as the one added in this new constructor, else there are allocations as well. This might cause issues if used without care.