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Google's Operations Research tools:
https://developers.google.com/optimization/
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Check failed: !params.enumerate_all_solutions() when using num_search_workers > 1 #1186

Closed joegaudet closed 5 years ago

joegaudet commented 5 years ago

Running a copy of the nurse scheduling solution from the examples:

    # Creates the solver and solve.
    solver = cp_model.CpSolver()
    solver.parameters.linearization_level = 0
    solver.parameters.num_search_workers = 2
    # Display the first five solutions.
    a_few_solutions = range(1)
    solution_printer = NursesPartialSolutionPrinter(
        shifts, num_nurses, num_days, num_shifts, a_few_solutions)
    solver.SearchForAllSolutions(model, solution_printer)

I added the num_workers_params to test out parallel search and got the following error.

WARNING: Logging before InitGoogleLogging() is written to STDERR
F0411 09:09:06.670298 307049920 cp_model_solver.cc:1957] Check failed: !params.enumerate_all_solutions() 
*** Check failure stack trace: ***
lperron commented 5 years ago

Yes. This is intended. Enumerating all solutions in parallel without duplicate is not yet planned. Laurent Perron | Operations Research | lperron@google.com | (33) 1 42 68 53 00

Le jeu. 11 avr. 2019 à 09:10, Joe Gaudet notifications@github.com a écrit :

Running a copy of the nurse scheduling solution from the examples:

# Creates the solver and solve.
solver = cp_model.CpSolver()
solver.parameters.linearization_level = 0
solver.parameters.num_search_workers = 2
# Display the first five solutions.
a_few_solutions = range(1)
solution_printer = NursesPartialSolutionPrinter(
    shifts, num_nurses, num_days, num_shifts, a_few_solutions)
solver.SearchForAllSolutions(model, solution_printer)

I added the num_workers_params to test out parallel search and got the following error.

WARNING: Logging before InitGoogleLogging() is written to STDERR F0411 09:09:06.670298 307049920 cp_model_solver.cc:1957] Check failed: !params.enumerate_all_solutions() Check failure stack trace:

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