Пример #1
0
    def __init__(self, *args, **kwds):
        if self.__class__ is _ScenarioTreeManagerSolverWorker:
            raise NotImplementedError(
                "%s is an abstract class for subclassing" % self.__class__)

        super(_ScenarioTreeManagerSolverWorker, self).__init__(*args, **kwds)

        assert self.manager is not None

        # solver related objects
        self._scenario_solvers = {}
        self._bundle_solvers = {}
        self._preprocessor = None
        self._solver_manager = None

        # there are situations in which it is valuable to snapshot /
        # store the solutions associated with the scenario
        # instances. for example, when one wants to use a warm-start
        # from a particular iteration solve, following a modification
        # and re-solve of the problem instances in a user-defined
        # callback. the following nested dictionary is intended to
        # serve that purpose. The nesting is dependent on whether
        # bundling and or phpyro is in use
        self._cached_solutions = {}
        self._cached_scenariotree_solutions = {}

        #
        # initialize the preprocessor
        #
        self._preprocessor = None
        if not self.get_option("disable_advanced_preprocessing"):
            self._preprocessor = ScenarioTreePreprocessor(
                self._options, options_prefix=self._options_prefix)
        assert self._manager.preprocessor is None
        self._manager.preprocessor = self._preprocessor

        #
        # initialize the solver manager
        #
        self._solver_manager = SolverManagerFactory(
            self.get_option("solver_manager"),
            host=self.get_option('solver_manager_pyro_host'),
            port=self.get_option('solver_manager_pyro_port'))
        for scenario in self.manager.scenario_tree._scenarios:
            assert scenario._instance is not None
            solver = self._scenario_solvers[scenario.name] = \
                SolverFactory(self.get_option("solver"),
                              solver_io=self.get_option("solver_io"))
            if self._preprocessor is not None:
                self._preprocessor.add_scenario(scenario, scenario._instance,
                                                solver)
        for bundle in self.manager.scenario_tree._scenario_bundles:
            solver = self._bundle_solvers[bundle.name] = \
                SolverFactory(self.get_option("solver"),
                              solver_io=self.get_option("solver_io"))
            bundle_instance = \
                self.manager._bundle_binding_instance_map[bundle.name]
            if self._preprocessor is not None:
                self._preprocessor.add_bundle(bundle, bundle_instance, solver)
Пример #2
0
    def _declare_options(cls, options=None):
        if options is None:
            options = PySPConfigBlock()

        # options for controlling the solver manager
        # (not the scenario tree manager)
        safe_declare_common_option(options, "solver_manager_pyro_host")
        safe_declare_common_option(options, "solver_manager_pyro_port")
        safe_declare_common_option(options, "solver_manager_pyro_shutdown")

        ScenarioTreePreprocessor._declare_options(options)

        return options
Пример #3
0
    def _declare_options(cls, options=None):
        if options is None:
            options = PySPConfigBlock()

        # options for controlling the solver manager
        # (not the scenario tree manager)
        safe_declare_common_option(options,
                                   "solver_manager_pyro_host")
        safe_declare_common_option(options,
                                   "solver_manager_pyro_port")
        safe_declare_common_option(options,
                                   "solver_manager_pyro_shutdown")

        ScenarioTreePreprocessor._declare_options(options)

        return options
Пример #4
0
class _ScenarioTreeManagerSolverWorker(ScenarioTreeManagerSolver,
                                       PySPConfiguredObject):

    @classmethod
    def _declare_options(cls, options=None):
        if options is None:
            options = PySPConfigBlock()

        # options for controlling the solver manager
        # (not the scenario tree manager)
        safe_declare_common_option(options,
                                   "solver_manager_pyro_host")
        safe_declare_common_option(options,
                                   "solver_manager_pyro_port")
        safe_declare_common_option(options,
                                   "solver_manager_pyro_shutdown")

        ScenarioTreePreprocessor._declare_options(options)

        return options

    @property
    def preprocessor(self):
        return self._preprocessor

    def __init__(self, *args, **kwds):
        if self.__class__ is _ScenarioTreeManagerSolverWorker:
            raise NotImplementedError(
                "%s is an abstract class for subclassing" % self.__class__)

        super(_ScenarioTreeManagerSolverWorker, self).__init__(*args, **kwds)
        # TODO: Does this import need to be delayed because
        #       it is in a plugins subdirectory?
        from pyomo.solvers.plugins.solvers.persistent_solver import \
            PersistentSolver

        assert self.manager is not None

        # solver related objects
        self._scenario_solvers = {}
        self._bundle_solvers = {}
        self._preprocessor = None
        self._solver_manager = None

        # there are situations in which it is valuable to snapshot /
        # store the solutions associated with the scenario
        # instances. for example, when one wants to use a warm-start
        # from a particular iteration solve, following a modification
        # and re-solve of the problem instances in a user-defined
        # callback. the following nested dictionary is intended to
        # serve that purpose. The nesting is dependent on whether
        # bundling and or phpyro is in use
        self._cached_solutions = {}
        self._cached_scenariotree_solutions = {}

        #
        # initialize the preprocessor
        #
        self._preprocessor = None
        if not self.get_option("disable_advanced_preprocessing"):
            self._preprocessor = ScenarioTreePreprocessor(self._options,
                                                          options_prefix=self._options_prefix)
        assert self._manager.preprocessor is None
        self._manager.preprocessor = self._preprocessor

        #
        # initialize the solver manager
        #
        self._solver_manager = SolverManagerFactory(
            self.get_option("solver_manager"),
            host=self.get_option('solver_manager_pyro_host'),
            port=self.get_option('solver_manager_pyro_port'))
        for scenario in self.manager.scenario_tree._scenarios:
            assert scenario._instance is not None
            solver = self._scenario_solvers[scenario.name] = \
                SolverFactory(self.get_option("solver"),
                              solver_io=self.get_option("solver_io"))
            if isinstance(solver, PersistentSolver) and \
               self.get_option("disable_advanced_preprocessing"):
                raise ValueError("Advanced preprocessing can not be disabled "
                                 "when persistent solvers are used")
            if self._preprocessor is not None:
                self._preprocessor.add_scenario(scenario,
                                                scenario._instance,
                                                solver)
        for bundle in self.manager.scenario_tree._scenario_bundles:
            solver = self._bundle_solvers[bundle.name] = \
                SolverFactory(self.get_option("solver"),
                              solver_io=self.get_option("solver_io"))
            if isinstance(solver, PersistentSolver) and \
               self.get_option("disable_advanced_preprocessing"):
                raise ValueError("Advanced preprocessing can not be disabled "
                                 "when persistent solvers are used")
            bundle_instance = \
                self.manager._bundle_binding_instance_map[bundle.name]
            if self._preprocessor is not None:
                self._preprocessor.add_bundle(bundle,
                                              bundle_instance,
                                              solver)

    #
    # Override some methods for ScenarioTreeManager that
    # were implemented by _ScenarioTreeManagerWorker:
    #

    def _close_impl(self):
        if (self._manager is not None) and \
           (self._manager.preprocessor is not None):
            assert self.preprocessor is self._manager.preprocessor
            for bundle in self.manager.scenario_tree._scenario_bundles:
                self._preprocessor.remove_bundle(bundle)
            for scenario in self.manager.scenario_tree._scenarios:
                assert scenario._instance is not None
                self._preprocessor.remove_scenario(scenario)
            self._manager.preprocessor = None
            self._preprocessor = None
        else:
            assert self._preprocessor is None

        if self._solver_manager is not None:
            self._solver_manager.deactivate()
            self._solver_manager = None
            if self.get_option("solver_manager_pyro_shutdown"):
                print("Shutting down Pyro components for solver manager.")
                shutdown_pyro_components(
                    host=self.get_option("solver_manager_pyro_host"),
                    port=self.get_option("solver_manager_pyro_port"),
                    num_retries=0,
                    caller_name=self.__class__.__name__)
        for solver in self._scenario_solvers.values():
            solver.deactivate()
        self._scenario_solvers = {}
        for solver in self._bundle_solvers.values():
            solver.deactivate()
        self._bundle_solvers = {}
        self._preprocessor = None
        self._objective_sense = None

    #
    # Abstract methods for ScenarioTreeManagerSolver:
    #

    def _queue_object_solves(self,
                             object_type,
                             objects,
                             ephemeral_solver_options,
                             disable_warmstart):

        if self.get_option("verbose"):
            print("Queuing %s solves" % (object_type[:-1]))

        assert object_type in ('bundles', 'scenarios')

        solver_dict = None
        instance_dict = None
        modify_kwds_func = None
        if object_type == 'bundles':
            if objects is None:
                objects = self.manager.scenario_tree._scenario_bundle_map
            solver_dict = self._bundle_solvers
            instance_dict = self.manager._bundle_binding_instance_map
            for bundle_name in objects:
                for scenario_name in self.manager.scenario_tree.\
                    get_bundle(bundle_name).\
                       scenario_names:
                    self.manager.scenario_tree.get_scenario(scenario_name).\
                        _instance_objective.deactivate()
            if self.preprocessor is not None:
                self.preprocessor.preprocess_bundles(bundles=objects)
                modify_kwds_func = self.preprocessor.modify_bundle_solver_keywords
        else:
            if objects is None:
                objects = self.manager.scenario_tree._scenario_map
            solver_dict = self._scenario_solvers
            instance_dict = self.manager._instances
            if self.manager.scenario_tree.contains_bundles():
                for scenario_name in objects:
                    self.manager.scenario_tree.get_scenario(scenario_name).\
                        _instance_objective.activate()
            if self.preprocessor is not None:
                self.preprocessor.preprocess_scenarios(scenarios=objects)
                modify_kwds_func = self.preprocessor.modify_scenario_solver_keywords
        assert solver_dict is not None
        assert instance_dict is not None

        # setup common solve keywords
        common_kwds = {}
        common_kwds['tee'] = self.get_option("output_solver_log")
        common_kwds['keepfiles'] = self.get_option("keep_solver_files")
        common_kwds['symbolic_solver_labels'] = \
            self.get_option("symbolic_solver_labels")
        # we always manually load solutions, so we can
        # control error reporting and such
        common_kwds['load_solutions'] = False

        # Load solver options
        solver_options = {}
        if type(self.get_option("solver_options")) is tuple:
            solver_options.update(
                OptSolver._options_string_to_dict(
                    "".join(self.get_option("solver_options"))))
        else:
            solver_options.update(self.get_option("solver_options"))
        common_kwds['options'] = solver_options

        #
        # override "persistent" values that are included from this
        # classes registered options
        #
        if ephemeral_solver_options is not None:
            common_kwds['options'].update(ephemeral_solver_options)

        # maps action handles to subproblem names
        action_handle_data = {}
        for object_name in objects:

            if modify_kwds_func is not None:
                # be sure to modify a copy of the kwds
                solve_kwds = modify_kwds_func(object_name, dict(common_kwds))
            else:
                solve_kwds = common_kwds
            opt = solver_dict[object_name]
            instance = instance_dict[object_name]
            if (not self.get_option("disable_warmstart")) and \
               (not disable_warmstart) and \
               opt.warm_start_capable():
                new_action_handle = \
                    self._solver_manager.queue(instance,
                                               opt=opt,
                                               warmstart=True,
                                               **solve_kwds)
            else:
                new_action_handle = \
                    self._solver_manager.queue(instance,
                                               opt=opt,
                                               **solve_kwds)

            action_handle_data[new_action_handle] = object_name

        return self.manager.AsyncResult(
            self._solver_manager,
            action_handle_data=action_handle_data)
Пример #5
0
    def __init__(self, *args, **kwds):
        if self.__class__ is _ScenarioTreeManagerSolverWorker:
            raise NotImplementedError(
                "%s is an abstract class for subclassing" % self.__class__)

        super(_ScenarioTreeManagerSolverWorker, self).__init__(*args, **kwds)
        # TODO: Does this import need to be delayed because
        #       it is in a plugins subdirectory?
        from pyomo.solvers.plugins.solvers.persistent_solver import \
            PersistentSolver

        assert self.manager is not None

        # solver related objects
        self._scenario_solvers = {}
        self._bundle_solvers = {}
        self._preprocessor = None
        self._solver_manager = None

        # there are situations in which it is valuable to snapshot /
        # store the solutions associated with the scenario
        # instances. for example, when one wants to use a warm-start
        # from a particular iteration solve, following a modification
        # and re-solve of the problem instances in a user-defined
        # callback. the following nested dictionary is intended to
        # serve that purpose. The nesting is dependent on whether
        # bundling and or phpyro is in use
        self._cached_solutions = {}
        self._cached_scenariotree_solutions = {}

        #
        # initialize the preprocessor
        #
        self._preprocessor = None
        if not self.get_option("disable_advanced_preprocessing"):
            self._preprocessor = ScenarioTreePreprocessor(self._options,
                                                          options_prefix=self._options_prefix)
        assert self._manager.preprocessor is None
        self._manager.preprocessor = self._preprocessor

        #
        # initialize the solver manager
        #
        self._solver_manager = SolverManagerFactory(
            self.get_option("solver_manager"),
            host=self.get_option('solver_manager_pyro_host'),
            port=self.get_option('solver_manager_pyro_port'))
        for scenario in self.manager.scenario_tree._scenarios:
            assert scenario._instance is not None
            solver = self._scenario_solvers[scenario.name] = \
                SolverFactory(self.get_option("solver"),
                              solver_io=self.get_option("solver_io"))
            if isinstance(solver, PersistentSolver) and \
               self.get_option("disable_advanced_preprocessing"):
                raise ValueError("Advanced preprocessing can not be disabled "
                                 "when persistent solvers are used")
            if self._preprocessor is not None:
                self._preprocessor.add_scenario(scenario,
                                                scenario._instance,
                                                solver)
        for bundle in self.manager.scenario_tree._scenario_bundles:
            solver = self._bundle_solvers[bundle.name] = \
                SolverFactory(self.get_option("solver"),
                              solver_io=self.get_option("solver_io"))
            if isinstance(solver, PersistentSolver) and \
               self.get_option("disable_advanced_preprocessing"):
                raise ValueError("Advanced preprocessing can not be disabled "
                                 "when persistent solvers are used")
            bundle_instance = \
                self.manager._bundle_binding_instance_map[bundle.name]
            if self._preprocessor is not None:
                self._preprocessor.add_bundle(bundle,
                                              bundle_instance,
                                              solver)
Пример #6
0
class _ScenarioTreeManagerSolverWorker(ScenarioTreeManagerSolver,
                                       PySPConfiguredObject):

    @classmethod
    def _declare_options(cls, options=None):
        if options is None:
            options = PySPConfigBlock()

        # options for controlling the solver manager
        # (not the scenario tree manager)
        safe_declare_common_option(options,
                                   "solver_manager_pyro_host")
        safe_declare_common_option(options,
                                   "solver_manager_pyro_port")
        safe_declare_common_option(options,
                                   "solver_manager_pyro_shutdown")

        ScenarioTreePreprocessor._declare_options(options)

        return options

    @property
    def preprocessor(self):
        return self._preprocessor

    def __init__(self, *args, **kwds):
        if self.__class__ is _ScenarioTreeManagerSolverWorker:
            raise NotImplementedError(
                "%s is an abstract class for subclassing" % self.__class__)

        super(_ScenarioTreeManagerSolverWorker, self).__init__(*args, **kwds)
        # TODO: Does this import need to be delayed because
        #       it is in a plugins subdirectory?
        from pyomo.solvers.plugins.solvers.persistent_solver import \
            PersistentSolver

        assert self.manager is not None

        # solver related objects
        self._scenario_solvers = {}
        self._bundle_solvers = {}
        self._preprocessor = None
        self._solver_manager = None

        # there are situations in which it is valuable to snapshot /
        # store the solutions associated with the scenario
        # instances. for example, when one wants to use a warm-start
        # from a particular iteration solve, following a modification
        # and re-solve of the problem instances in a user-defined
        # callback. the following nested dictionary is intended to
        # serve that purpose. The nesting is dependent on whether
        # bundling and or phpyro is in use
        self._cached_solutions = {}
        self._cached_scenariotree_solutions = {}

        #
        # initialize the preprocessor
        #
        self._preprocessor = None
        if not self.get_option("disable_advanced_preprocessing"):
            self._preprocessor = ScenarioTreePreprocessor(self._options,
                                                          options_prefix=self._options_prefix)
        assert self._manager.preprocessor is None
        self._manager.preprocessor = self._preprocessor

        #
        # initialize the solver manager
        #
        self._solver_manager = SolverManagerFactory(
            self.get_option("solver_manager"),
            host=self.get_option('solver_manager_pyro_host'),
            port=self.get_option('solver_manager_pyro_port'))
        for scenario in self.manager.scenario_tree._scenarios:
            assert scenario._instance is not None
            solver = self._scenario_solvers[scenario.name] = \
                SolverFactory(self.get_option("solver"),
                              solver_io=self.get_option("solver_io"))
            if isinstance(solver, PersistentSolver) and \
               self.get_option("disable_advanced_preprocessing"):
                raise ValueError("Advanced preprocessing can not be disabled "
                                 "when persistent solvers are used")
            if self._preprocessor is not None:
                self._preprocessor.add_scenario(scenario,
                                                scenario._instance,
                                                solver)
        for bundle in self.manager.scenario_tree._scenario_bundles:
            solver = self._bundle_solvers[bundle.name] = \
                SolverFactory(self.get_option("solver"),
                              solver_io=self.get_option("solver_io"))
            if isinstance(solver, PersistentSolver) and \
               self.get_option("disable_advanced_preprocessing"):
                raise ValueError("Advanced preprocessing can not be disabled "
                                 "when persistent solvers are used")
            bundle_instance = \
                self.manager._bundle_binding_instance_map[bundle.name]
            if self._preprocessor is not None:
                self._preprocessor.add_bundle(bundle,
                                              bundle_instance,
                                              solver)

    #
    # Override some methods for ScenarioTreeManager that
    # were implemented by _ScenarioTreeManagerWorker:
    #

    def _close_impl(self):
        if (self._manager is not None) and \
           (self._manager.preprocessor is not None):
            assert self.preprocessor is self._manager.preprocessor
            for bundle in self.manager.scenario_tree._scenario_bundles:
                self._preprocessor.remove_bundle(bundle)
            for scenario in self.manager.scenario_tree._scenarios:
                assert scenario._instance is not None
                self._preprocessor.remove_scenario(scenario)
            self._manager.preprocessor = None
            self._preprocessor = None
        else:
            assert self._preprocessor is None

        if self._solver_manager is not None:
            #self._solver_manager.deactivate()
            self._solver_manager = None
            if self.get_option("solver_manager_pyro_shutdown"):
                print("Shutting down Pyro components for solver manager.")
                shutdown_pyro_components(
                    host=self.get_option("solver_manager_pyro_host"),
                    port=self.get_option("solver_manager_pyro_port"),
                    num_retries=0,
                    caller_name=self.__class__.__name__)
        #for solver in self._scenario_solvers.values():
        #    solver.deactivate()
        self._scenario_solvers = {}
        #for solver in self._bundle_solvers.values():
        #    solver.deactivate()
        self._bundle_solvers = {}
        self._preprocessor = None
        self._objective_sense = None

    #
    # Abstract methods for ScenarioTreeManagerSolver:
    #

    def _queue_object_solves(self,
                             object_type,
                             objects,
                             ephemeral_solver_options,
                             disable_warmstart):

        if self.get_option("verbose"):
            print("Queuing %s solves" % (object_type[:-1]))

        assert object_type in ('bundles', 'scenarios')

        solver_dict = None
        instance_dict = None
        modify_kwds_func = None
        if object_type == 'bundles':
            if objects is None:
                objects = self.manager.scenario_tree._scenario_bundle_map
            solver_dict = self._bundle_solvers
            instance_dict = self.manager._bundle_binding_instance_map
            for bundle_name in objects:
                for scenario_name in self.manager.scenario_tree.\
                    get_bundle(bundle_name).\
                       scenario_names:
                    self.manager.scenario_tree.get_scenario(scenario_name).\
                        _instance_objective.deactivate()
            if self.preprocessor is not None:
                self.preprocessor.preprocess_bundles(bundles=objects)
                modify_kwds_func = self.preprocessor.modify_bundle_solver_keywords
        else:
            if objects is None:
                objects = self.manager.scenario_tree._scenario_map
            solver_dict = self._scenario_solvers
            instance_dict = self.manager._instances
            if self.manager.scenario_tree.contains_bundles():
                for scenario_name in objects:
                    self.manager.scenario_tree.get_scenario(scenario_name).\
                        _instance_objective.activate()
            if self.preprocessor is not None:
                self.preprocessor.preprocess_scenarios(scenarios=objects)
                modify_kwds_func = self.preprocessor.modify_scenario_solver_keywords
        assert solver_dict is not None
        assert instance_dict is not None

        # setup common solve keywords
        common_kwds = {}
        common_kwds['tee'] = self.get_option("output_solver_log")
        common_kwds['keepfiles'] = self.get_option("keep_solver_files")
        common_kwds['symbolic_solver_labels'] = \
            self.get_option("symbolic_solver_labels")
        # we always manually load solutions, so we can
        # control error reporting and such
        common_kwds['load_solutions'] = False

        # Load solver options
        solver_options = {}
        if type(self.get_option("solver_options")) is tuple:
            solver_options.update(
                OptSolver._options_string_to_dict(
                    "".join(self.get_option("solver_options"))))
        else:
            solver_options.update(self.get_option("solver_options"))
        common_kwds['options'] = solver_options

        #
        # override "persistent" values that are included from this
        # classes registered options
        #
        if ephemeral_solver_options is not None:
            common_kwds['options'].update(ephemeral_solver_options)

        # maps action handles to subproblem names
        action_handle_data = {}
        for object_name in objects:

            if modify_kwds_func is not None:
                # be sure to modify a copy of the kwds
                solve_kwds = modify_kwds_func(object_name, dict(common_kwds))
            else:
                solve_kwds = common_kwds
            opt = solver_dict[object_name]
            instance = instance_dict[object_name]
            if (not self.get_option("disable_warmstart")) and \
               (not disable_warmstart) and \
               opt.warm_start_capable():
                new_action_handle = \
                    self._solver_manager.queue(instance,
                                               opt=opt,
                                               warmstart=True,
                                               **solve_kwds)
            else:
                new_action_handle = \
                    self._solver_manager.queue(instance,
                                               opt=opt,
                                               **solve_kwds)

            action_handle_data[new_action_handle] = object_name

        return self.manager.AsyncResult(
            self._solver_manager,
            action_handle_data=action_handle_data)