Log an optimizer's output to somewhere else, instead of simply in Julia REPL?

[WalterMadelim]

Often, in order to realize an algorithm, we need to establish ≥ 1 optimization models.

while true
  JuMP.optimize!(model_1)
  ...
  JuMP.optimize!(model_2)
end

If they all log to stdout which is the Julia REPL, it doesn't seem neat.
Is there a method set_log_file to let a specific optimizer log into a specific file?

model_1 = JuMP.Model(() -> Gurobi.Optimizer()) # for example, Gurobi is the optimizer
JuMP.unset_silent(model_1) # meant to let Gurobi log
JuMP.set_log_file(model_1, "Gurobi.log", "a") # mode "a" means new logs are appended to the end of file "output.log"

model_2 = JuMP.Model(() -> Ipopt.Optimizer())  
JuMP.unset_silent(model_2) 
JuMP.set_log_file(model_2, "Ipopt.log", "w") # mode "w" means that log of the 2nd-time optimization will overwrite those log during the 1st-time optimization

Reference: you can refer to the help-doc of open in Julia REPL, for the different modes, e.g. "a", "w".

[odow]

Closing because JuMP does not control how optimizers log, to the REPL (aka stdout) or to a file.

These are solver-specific parameters. Please consult the documentation of the solver you are trying to use.

If you have related questions, please ask them on the discussion forum at https://jump.dev/forum