Пример #1
0
    def _auto_setup_systems(self, scope, reduced, cgraph):
        """
        Collapse the graph into nodes representing parallel
        and serial subsystems.
        """
        cgraph = partition_subsystems(scope, reduced, cgraph)

        if len(cgraph) > 1:
            if len(cgraph.edges()) > 0:
                self._system = SerialSystem(scope, reduced,
                                            cgraph, tuple(cgraph.nodes()))
            else:
                self._system = ParallelSystem(scope, reduced,
                                              cgraph, str(tuple(cgraph.nodes())))
        elif len(cgraph) == 1:
            name = cgraph.nodes()[0]
            self._system = cgraph.node[name].get('system')
        else:
            raise RuntimeError("setup_systems called on %s.workflow but component graph is empty!" %
                               self.parent.get_pathname())
Пример #2
0
    def setup_systems(self, system_type):
        """Get the subsystem for this workflow. Each
        subsystem contains a subgraph of this workflow's component
        graph, which contains components and/or other subsystems.
        """

        scope = self.scope
        drvname = self.parent.name

        parent_graph = self.scope._reduced_graph
        reduced = parent_graph.subgraph(parent_graph.nodes_iter())

        # collapse driver iteration sets into a single node for
        # the driver.
        reduced.collapse_subdrivers(self.parent._iter_set,
                                    self.subdrivers())

        reduced = reduced.full_subgraph(self.parent._iter_set)

        params = set()
        for s in parent_graph.successors(drvname):
            if parent_graph[drvname][s].get('drv_conn') == drvname:
                if reduced.in_degree(s):
                    continue
            params.add(s)
            reduced.add_node(s[0], comp='param')
            reduced.add_edge(s[0], s)

        # we need to connect a param comp node to all param nodes
        for node in params:
            param = node[0]
            reduced.node[param]['system'] = \
                ParamSystem(scope, reduced, param)

        #outs = []
        #for p in parent_graph.predecessors(drvname):
        #    if parent_graph[p][drvname].get('drv_conn') == drvname:
        #        outs.append(p)

        #for out in outs:
        #    vname = out[1][0]
        #    if reduced.out_degree(vname) == 0:
        #        reduced.add_node(vname, comp='dumbvar')
        #        reduced.add_edge(out, vname)
        #        reduced.node[vname]['system'] = \
        #                   VarSystem(scope, reduced, vname)

        cgraph = reduced.component_graph()

        opaque_map = {} # map of all internal comps to collapsed
                                # name of opaque system
        if self.scope._derivs_required:
            # collapse non-differentiable system groups into
            # opaque systems
            systems = {}
            for group in get_nondiff_groups(reduced, cgraph, self.scope):
                gtup = tuple(sorted(group))
                system = OpaqueSystem(scope, parent_graph,
                                      cgraph.subgraph(group),
                                      str(gtup))
                systems[gtup] = system

            for gtup, system in systems.items():
                collapse_to_system_node(cgraph, system, gtup)
                reduced.add_node(gtup, comp=True)
                collapse_nodes(reduced, gtup, reduced.internal_nodes(gtup))
                reduced.node[gtup]['comp'] = True
                reduced.node[gtup]['system'] = system
                for c in gtup:
                    opaque_map[c] = gtup

            # get rid of any back edges for opaque boundary nodes that
            # originate inside of the opaque system
            to_remove = []
            for node in systems:
                for s in reduced.successors(node):
                    if node in reduced.predecessors(s):
                        to_remove.append((s, node))
            reduced.remove_edges_from(to_remove)

        self._reduced_graph = reduced

        if system_type == 'auto' and MPI:
            self._auto_setup_systems(scope, reduced, cgraph)
        elif MPI and system_type == 'parallel':
            self._system = ParallelSystem(scope, reduced, cgraph,
                                          str(tuple(sorted(cgraph.nodes()))))
        else:
            self._system = SerialSystem(scope, reduced, cgraph,
                                        str(tuple(sorted(cgraph.nodes()))))

        self._system.set_ordering([p[0] for p in params]+self._ordering,
                                  opaque_map)

        self._system._parent_system = self.parent._system

        for comp in self:
            comp.setup_systems()