Timeout feature on evaluation #185
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3rdCore
commented
Jul 26, 2021
| belowNodeLimit(model::CPModel) = isnothing(model.limit.numberOfNodes) || model.statistics.numberOfNodes < model.limit.numberOfNodes | ||
| belowSolutionLimit(model::CPModel) = isnothing(model.limit.numberOfSolutions) || model.statistics.numberOfSolutions < model.limit.numberOfSolutions | ||
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| belowTimeLimit(model::CPModel) = isnothing(model.limit.searchingTime) || peektimer() < model.limit.searchingTime |
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peektimer() can be compared as the loop button on any stopwatch. It gives the elapsed time since the last call to tic().
| @@ -19,7 +19,7 @@ at each branching and using `valueSelection` to choose how the branching will be | |||
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| """ | |||
| function search!(model::CPModel, strategy::S, variableHeuristic::AbstractVariableSelection, valueSelection::ValueSelection=BasicHeuristic(); out_solver::Bool=false) where S <: SearchStrategy | |||
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| tic() | |||
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Timer is started at the beginning of a search.
PierreTsr
approved these changes
Jul 28, 2021
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Few modifications on CPModel to add the timeout feature on searches. CPModel now has a
limit.searchingTimeattribute.To use a timeout on evaluation, the user should add the optional argument
evalTimeOutduring theSameInstancesEvaluatorcreation.I added the possibility to define 2 different strategies
strategyandeval_strategyfor both the training and the evaluation.I fixed a little omission on
BasicHeuristicthat were previously not modifyingmodel.statistics.lastVarduring a DecisionPhasePrints during search, using
verbose=truehave also been updated.