Source code for openmdao.main.driver

""" Driver class definition """

#public symbols
__all__ = ["Driver"]

import fnmatch

# pylint: disable-msg=E0611,F0401

from openmdao.main.interfaces import IDriver, ICaseRecorder, IHasEvents, \
                                     implements
from openmdao.main.exceptions import RunStopped
from openmdao.main.expreval import ExprEvaluator
from openmdao.main.component import Component
from openmdao.main.workflow import Workflow
from openmdao.main.case import Case
from openmdao.main.dataflow import Dataflow
from openmdao.main.hasevents import HasEvents
from openmdao.main.hasparameters import HasParameters
from openmdao.main.hasconstraints import HasConstraints, HasEqConstraints, \
                                         HasIneqConstraints
from openmdao.main.hasobjective import HasObjective, HasObjectives
from openmdao.util.decorators import add_delegate
from openmdao.main.mp_support import is_instance, has_interface
from openmdao.main.rbac import rbac
from openmdao.main.datatypes.api import List, Slot, Str


@add_delegate(HasEvents)
[docs]class Driver(Component): """ A Driver iterates over a workflow of Components until some condition is met. """ implements(IDriver, IHasEvents) recorders = List(Slot(ICaseRecorder, required=False), desc='Case recorders for iteration data.') # Extra variables for printing printvars = List(Str, iotype='in', desc='List of extra variables to output in the recorders.') # set factory here so we see a default value in the docs, even # though we replace it with a new Dataflow in __init__ workflow = Slot(Workflow, allow_none=True, required=True, factory=Dataflow, hidden=True) def __init__(self, doc=None): self._iter = None super(Driver, self).__init__(doc=doc) self.workflow = Dataflow(self) self.force_execute = True # This flag is triggered by adding or removing any parameters, # constraints, or objectives. self._invalidated = False def _workflow_changed(self, oldwf, newwf): if newwf is not None: newwf._parent = self
[docs] def get_expr_scope(self): """Return the scope to be used to evaluate ExprEvaluators.""" return self.parent
def _invalidate(self): """ Method for delegates to declare that the driver is in an invalid state so that isvalid() returns false. Presently, this is called when a constraint/objective/parameter is set, removed, or cleared. """ self._invalidated = True self._set_exec_state('INVALID')
[docs] def is_valid(self): """Return False if any Component in our workflow(s) is invalid, or if any of our variables is invalid, or if the parameters, constraints, or objectives have changed. """ if super(Driver, self).is_valid() is False: return False # force exection if any param, obj, or constraint has changed. if self._invalidated: return False # force execution if any component in the workflow is invalid for comp in self.workflow.get_components(): if not comp.is_valid(): return False return True
[docs] def check_config(self): """Verify that our workflow is able to resolve all of its components.""" # workflow will raise an exception if it can't resolve a Component super(Driver, self).check_config() # if workflow is not defined, or if it contains only Drivers, try to # use parameters, objectives and/or constraint expressions to # determine the necessary workflow members try: iterset = set(c.name for c in self.iteration_set()) alldrivers = all([isinstance(c, Driver) for c in self.workflow.get_components()]) reqcomps = self._get_required_compnames() if len(self.workflow) == 0: self.workflow.add(reqcomps) elif alldrivers is True: self.workflow.add([name for name in reqcomps if name not in iterset]) else: diff = reqcomps - iterset if len(diff) > 0: #raise RuntimeError("Expressions in this Driver require the following " # "Components that are not part of the " # "workflow: %s" % list(diff)) pass # calling get_components() here just makes sure that all of the # components can be resolved comps = self.workflow.get_components() except Exception as err: self.raise_exception(str(err), type(err))
[docs] def iteration_set(self): """Return a set of all Components in our workflow(s), and recursively in any workflow in any Driver in our workflow(s). """ allcomps = set() if len(self.workflow) == 0: for compname in self._get_required_compnames(): self.workflow.add(compname) for child in self.workflow.get_components(): allcomps.add(child) if has_interface(child, IDriver): allcomps.update(child.iteration_set()) return allcomps
@rbac(('owner', 'user'))
[docs] def get_expr_depends(self): """Returns a list of tuples of the form (src_comp_name, dest_comp_name) for each dependency introduced by any ExprEvaluators in this Driver, ignoring any dependencies on components that are inside of this Driver's iteration set. """ iternames = set([c.name for c in self.iteration_set()]) conn_list = super(Driver, self).get_expr_depends() new_list = [] for src, dest in conn_list: if src not in iternames and dest not in iternames: new_list.append((src, dest)) return new_list
def _get_required_compnames(self): """Returns a set of names of components that are required by this Driver in order to evaluate parameters, objectives and constraints. This list will include any intermediate components in the data flow between components referenced by parameters and those referenced by objectives and/or constraints. """ setcomps = set() getcomps = set() if hasattr(self, '_delegates_'): for name, dclass in self._delegates_.items(): inst = getattr(self, name) if isinstance(inst, HasParameters): setcomps = inst.get_referenced_compnames() elif isinstance(inst, (HasConstraints, HasEqConstraints, HasIneqConstraints, HasObjective, HasObjectives)): getcomps.update(inst.get_referenced_compnames()) full = set(getcomps) full.update(setcomps) if self.parent: graph = self.parent._depgraph for end in getcomps: for start in setcomps: full.update(graph.find_all_connecting(start, end)) return full
[docs] def get_references(self, name): """Return parameter, constraint, and objective references to component `name` in preparation for subsequent :meth:`restore_references` call. name: string Name of component being removed. """ refs = {} if hasattr(self, '_delegates_'): for dname, dclass in self._delegates_.items(): inst = getattr(self, dname) if isinstance(inst, (HasParameters, HasConstraints, HasEqConstraints, HasIneqConstraints, HasObjective, HasObjectives)): refs[inst] = inst.get_references(name) return refs
[docs] def remove_references(self, name): """Remove parameter, constraint, and objective references to component `name`. name: string Name of component being removed. """ if hasattr(self, '_delegates_'): for dname, dclass in self._delegates_.items(): inst = getattr(self, dname) if isinstance(inst, (HasParameters, HasConstraints, HasEqConstraints, HasIneqConstraints, HasObjective, HasObjectives)): inst.remove_references(name)
[docs] def restore_references(self, refs, name): """Restore parameter, constraint, and objective references to component `name` from `refs`. name: string Name of component being removed. refs: object Value returned by :meth:`get_references`. """ if hasattr(self, '_delegates_'): for dname, dclass in self._delegates_.items(): inst = getattr(self, dname) if isinstance(inst, (HasParameters, HasConstraints, HasEqConstraints, HasIneqConstraints, HasObjective, HasObjectives)): inst.restore_references(refs[inst], name)
@rbac('*', 'owner')
[docs] def run(self, force=False, ffd_order=0, case_id=''): """Run this object. This should include fetching input variables if necessary, executing, and updating output variables. Do not override this function. force: bool If True, force component to execute even if inputs have not changed. (Default is False) ffd_order: int Order of the derivatives to be used when finite differncing (1 for first derivatives, 2 for second derivativse). During regular execution, ffd_order should be 0. (Default is 0) case_id: str Identifier for the Case that is associated with this run. (Default is '') If applied to the top-level assembly, this will be prepended to all iteration coordinates. """ # Override just to reset the workflow :-( self.workflow.reset() super(Driver, self).run(force, ffd_order, case_id) self._invalidated = False
[docs] def execute(self): """ Iterate over a workflow of Components until some condition is met. If you don't want to structure your driver to use *pre_iteration*, *post_iteration*, etc., just override this function. As a result, none of the <start/pre/post/continue>_iteration() functions will be called. """ self._iter = None self.start_iteration() while self.continue_iteration(): self.pre_iteration() self.run_iteration() self.post_iteration()
[docs] def step(self): """Similar to the 'execute' function, but this one only executes a single Component from the workflow each time it's called. """ if self._iter is None: self.start_iteration() self._iter = self._step() try: self._iter.next() except StopIteration: self._iter = None raise raise RunStopped('Step complete')
def _step(self): while self.continue_iteration(): self.pre_iteration() for junk in self._step_workflow(): yield self.post_iteration() self._iter = None raise StopIteration() def _step_workflow(self): while True: try: self.workflow.step() except RunStopped: pass yield
[docs] def stop(self): self._stop = True self.workflow.stop()
[docs] def start_iteration(self): """Called just prior to the beginning of an iteration loop. This can be overridden by inherited classes. It can be used to perform any necessary pre-iteration initialization. """ self._continue = True
[docs] def continue_iteration(self): """Return False to stop iterating.""" return self._continue
[docs] def pre_iteration(self): """Called prior to each iteration. This is where iteration events are set.""" self.set_events()
[docs] def run_iteration(self): """Runs workflow.""" wf = self.workflow if len(wf) == 0: self._logger.warning("'%s': workflow is empty!" % self.get_pathname()) wf.run(ffd_order=self.ffd_order, case_id=self._case_id)
[docs] def calc_derivatives(self, first=False, second=False): """ Calculate derivatives and save baseline states for all components in this workflow.""" self.workflow.calc_derivatives(first, second)
[docs] def check_derivatives(self, order, driver_inputs, driver_outputs): """ Check derivatives for all components in this workflow.""" self.workflow.check_derivatives(order, driver_inputs, driver_outputs)
[docs] def post_iteration(self): """Called after each iteration.""" self._continue = False # by default, stop after one iteration
[docs] def config_changed(self, update_parent=True): """Call this whenever the configuration of this Component changes, for example, children are added or removed or dependencies may have changed. """ super(Driver, self).config_changed(update_parent) if self.workflow is not None: self.workflow.config_changed()
[docs] def record_case(self): """ A driver can call this function to record the current state of the current iteration as a Case into all slotted case recorders. Generally, the driver should call this function once per iteration and may also need to call it at the conclusion. All paramters, objectives, and constraints are included in the Case output, along with all extra variables listed in self.printvars. """ if not self.recorders: return case_input = [] case_output = [] # Parameters if hasattr(self, 'get_parameters'): for name, param in self.get_parameters().iteritems(): if isinstance(name, tuple): name = name[0] case_input.append([name, param.evaluate(self.parent)]) # Objectives if hasattr(self, 'eval_objective'): case_output.append(["Objective", self.eval_objective()]) # Constraints if hasattr(self, 'get_ineq_constraints'): for name, con in self.get_ineq_constraints().iteritems(): val = con.evaluate(self.parent) if '>' in val[2]: case_output.append(["Constraint ( %s )" % name, val[0] - val[1]]) else: case_output.append(["Constraint ( %s )" % name, val[1] - val[0]]) if hasattr(self, 'get_eq_constraints'): for name, con in self.get_eq_constraints().iteritems(): val = con.evaluate(self.parent) case_output.append(["Constraint ( %s )" % name, val[1] - val[0]]) # Additional user-requested variables for printvar in self.printvars: if '*' in printvar: printvars = self._get_all_varpaths(printvar) else: printvars = [printvar] for var in printvars: iotype = self.parent.get_metadata(var, 'iotype') if iotype == 'in': val = ExprEvaluator(var, scope=self.parent).evaluate() case_input.append([var, val]) elif iotype == 'out': val = ExprEvaluator(var, scope=self.parent).evaluate() case_output.append([var, val]) else: msg = "%s is not an input or output" % var self.raise_exception(msg, ValueError) # Pull iteration coord from workflow coord = self.workflow._iterbase('') case = Case(case_input, case_output, label=coord, parent_uuid=self._case_id) for recorder in self.recorders: recorder.record(case)
def _get_all_varpaths(self, pattern, header=''): ''' Return a list of all varpaths in the driver's workflow that match the specified pattern. Used by record_case.''' # assume we don't want this in driver's imports from openmdao.main.assembly import Assembly # Start with our driver's settings all_vars = [] for var in self.list_vars(): all_vars.append('%s.%s' % (self.name, var)) for comp in self.workflow.__iter__(): # All variables from components in workflow for var in comp.list_vars(): all_vars.append('%s%s.%s' % (header, comp.name, var)) # Recurse into assemblys if isinstance(comp, Assembly): assy_header = '%s%s.' % (header, comp.name) assy_vars = comp.driver._get_all_varpaths(pattern, assy_header) all_vars = all_vars + assy_vars # Match pattern in our var names matched_vars = [] if pattern == '*': matched_vars = all_vars else: matched_vars = fnmatch.filter(all_vars, pattern) return matched_vars
[docs] def get_workflow(self): """ get the driver info and the list of components that make up the driver's workflow, recurse on nested drivers """ from openmdao.main.assembly import Assembly ret = {} ret['pathname'] = self.get_pathname() ret['type'] = type(self).__module__ + '.' + type(self).__name__ ret['workflow'] = [] ret['valid'] = self.is_valid() for comp in self.workflow: pathname = comp.get_pathname() if is_instance(comp, Assembly) and comp.driver: ret['workflow'].append({ 'pathname': pathname, 'type': type(comp).__module__ + '.' + type(comp).__name__, 'driver': comp.driver.get_workflow(), 'valid': comp.is_valid() }) elif is_instance(comp, Driver): ret['workflow'].append(comp.get_workflow()) else: ret['workflow'].append({ 'pathname': pathname, 'type': type(comp).__module__ + '.' + type(comp).__name__, 'valid': comp.is_valid() }) return ret
class Run_Once(Driver): """An assembly starts with a bare driver that just executes the workflow a single time. The only difference between this and the Driver base class is that record_case is called at the conclusion of the workflow execution. """ def execute(self): ''' Call parent, then record cases.''' super(Run_Once, self).execute() self.record_case()
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