Comments (5)
See #11
You can get Ipopt to print it if you turn up the output level.
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I agree that we should report the time spent in the callbacks (apparently the latest Ipopt version does not report that information anymore). On my side, I am using the following fields in JuMP:
https://github.com/jump-dev/JuMP.jl/blob/master/src/nlp.jl#L359-L364
knowing that JuMP:
- (1) first run a forward and a reverse passes to evaluate the objective, the constraints, the gradient and the Jacobian
- (2) then evaluate the Hessian of the Lagrangian apart with a forward-over-reverse pass.
Hence, if we exclude the time spent in the extraction, we know only the time spent in (1) (objective+gradient+constraint+Jacobian) and in (2) (Hessian). At least as far as I understand JuMP's AD.
from rosetta-opf.
You can get Ipopt to print it if you turn up the output level.
Actually, it's:
set_optimizer_attribute(model, "print_timing_statistics", "yes")
from rosetta-opf.
Is there anything actionable to do on this topic? As far as I can tell, we already collect as much of this as we can.
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Related Issues (14)
- Formulation correctness question HOT 5
- Update GalacticOptim
- Check jump-nl formulation HOT 2
- casadi benchmark HOT 8
- Remove jump-casadi.jl?
- Consistency of jump-polar-vectorized variant
- Add function tracing variant of JuMP
- Document how to run single cases HOT 1
- Add unit tests to each implementation
- Use type-stable nlpmodels HOT 8
- Add ModelingToolKit Model based on SciMLBenchmarks HOT 1
- Add an Artifacts.toml?
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