xref: /freebsd/contrib/llvm-project/llvm/lib/Support/DAGDeltaAlgorithm.cpp (revision fe75646a0234a261c0013bf1840fdac4acaf0cec)
1 //===--- DAGDeltaAlgorithm.cpp - A DAG Minimization Algorithm --*- C++ -*--===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //===----------------------------------------------------------------------===//
7 //
8 // The algorithm we use attempts to exploit the dependency information by
9 // minimizing top-down. We start by constructing an initial root set R, and
10 // then iteratively:
11 //
12 //   1. Minimize the set R using the test predicate:
13 //       P'(S) = P(S union pred*(S))
14 //
15 //   2. Extend R to R' = R union pred(R).
16 //
17 // until a fixed point is reached.
18 //
19 // The idea is that we want to quickly prune entire portions of the graph, so we
20 // try to find high-level nodes that can be eliminated with all of their
21 // dependents.
22 //
23 // FIXME: The current algorithm doesn't actually provide a strong guarantee
24 // about the minimality of the result. The problem is that after adding nodes to
25 // the required set, we no longer consider them for elimination. For strictly
26 // well formed predicates, this doesn't happen, but it commonly occurs in
27 // practice when there are unmodelled dependencies. I believe we can resolve
28 // this by allowing the required set to be minimized as well, but need more test
29 // cases first.
30 //
31 //===----------------------------------------------------------------------===//
32 
33 #include "llvm/ADT/DAGDeltaAlgorithm.h"
34 #include "llvm/ADT/DeltaAlgorithm.h"
35 #include "llvm/Support/Debug.h"
36 #include "llvm/Support/Format.h"
37 #include "llvm/Support/raw_ostream.h"
38 #include <algorithm>
39 #include <cassert>
40 #include <map>
41 using namespace llvm;
42 
43 #define DEBUG_TYPE "dag-delta"
44 
45 namespace {
46 
47 class DAGDeltaAlgorithmImpl {
48   friend class DeltaActiveSetHelper;
49 
50 public:
51   typedef DAGDeltaAlgorithm::change_ty change_ty;
52   typedef DAGDeltaAlgorithm::changeset_ty changeset_ty;
53   typedef DAGDeltaAlgorithm::changesetlist_ty changesetlist_ty;
54   typedef DAGDeltaAlgorithm::edge_ty edge_ty;
55 
56 private:
57   typedef std::vector<change_ty>::iterator pred_iterator_ty;
58   typedef std::vector<change_ty>::iterator succ_iterator_ty;
59   typedef std::set<change_ty>::iterator pred_closure_iterator_ty;
60   typedef std::set<change_ty>::iterator succ_closure_iterator_ty;
61 
62   DAGDeltaAlgorithm &DDA;
63 
64   std::vector<change_ty> Roots;
65 
66   /// Cache of failed test results. Successful test results are never cached
67   /// since we always reduce following a success. We maintain an independent
68   /// cache from that used by the individual delta passes because we may get
69   /// hits across multiple individual delta invocations.
70   mutable std::set<changeset_ty> FailedTestsCache;
71 
72   // FIXME: Gross.
73   std::map<change_ty, std::vector<change_ty> > Predecessors;
74   std::map<change_ty, std::vector<change_ty> > Successors;
75 
76   std::map<change_ty, std::set<change_ty> > PredClosure;
77   std::map<change_ty, std::set<change_ty> > SuccClosure;
78 
79 private:
80   pred_iterator_ty pred_begin(change_ty Node) {
81     assert(Predecessors.count(Node) && "Invalid node!");
82     return Predecessors[Node].begin();
83   }
84   pred_iterator_ty pred_end(change_ty Node) {
85     assert(Predecessors.count(Node) && "Invalid node!");
86     return Predecessors[Node].end();
87   }
88 
89   pred_closure_iterator_ty pred_closure_begin(change_ty Node) {
90     assert(PredClosure.count(Node) && "Invalid node!");
91     return PredClosure[Node].begin();
92   }
93   pred_closure_iterator_ty pred_closure_end(change_ty Node) {
94     assert(PredClosure.count(Node) && "Invalid node!");
95     return PredClosure[Node].end();
96   }
97 
98   succ_iterator_ty succ_begin(change_ty Node) {
99     assert(Successors.count(Node) && "Invalid node!");
100     return Successors[Node].begin();
101   }
102   succ_iterator_ty succ_end(change_ty Node) {
103     assert(Successors.count(Node) && "Invalid node!");
104     return Successors[Node].end();
105   }
106 
107   succ_closure_iterator_ty succ_closure_begin(change_ty Node) {
108     assert(SuccClosure.count(Node) && "Invalid node!");
109     return SuccClosure[Node].begin();
110   }
111   succ_closure_iterator_ty succ_closure_end(change_ty Node) {
112     assert(SuccClosure.count(Node) && "Invalid node!");
113     return SuccClosure[Node].end();
114   }
115 
116   void UpdatedSearchState(const changeset_ty &Changes,
117                           const changesetlist_ty &Sets,
118                           const changeset_ty &Required) {
119     DDA.UpdatedSearchState(Changes, Sets, Required);
120   }
121 
122   /// ExecuteOneTest - Execute a single test predicate on the change set \p S.
123   bool ExecuteOneTest(const changeset_ty &S) {
124     // Check dependencies invariant.
125     LLVM_DEBUG({
126       for (changeset_ty::const_iterator it = S.begin(), ie = S.end(); it != ie;
127            ++it)
128         for (succ_iterator_ty it2 = succ_begin(*it), ie2 = succ_end(*it);
129              it2 != ie2; ++it2)
130           assert(S.count(*it2) && "Attempt to run invalid changeset!");
131     });
132 
133     return DDA.ExecuteOneTest(S);
134   }
135 
136 public:
137   DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &DDA, const changeset_ty &Changes,
138                         const std::vector<edge_ty> &Dependencies);
139 
140   changeset_ty Run();
141 
142   /// GetTestResult - Get the test result for the active set \p Changes with
143   /// \p Required changes from the cache, executing the test if necessary.
144   ///
145   /// \param Changes - The set of active changes being minimized, which should
146   /// have their pred closure included in the test.
147   /// \param Required - The set of changes which have previously been
148   /// established to be required.
149   /// \return - The test result.
150   bool GetTestResult(const changeset_ty &Changes, const changeset_ty &Required);
151 };
152 
153 /// Helper object for minimizing an active set of changes.
154 class DeltaActiveSetHelper : public DeltaAlgorithm {
155   DAGDeltaAlgorithmImpl &DDAI;
156 
157   const changeset_ty &Required;
158 
159 protected:
160   /// UpdatedSearchState - Callback used when the search state changes.
161   void UpdatedSearchState(const changeset_ty &Changes,
162                                   const changesetlist_ty &Sets) override {
163     DDAI.UpdatedSearchState(Changes, Sets, Required);
164   }
165 
166   bool ExecuteOneTest(const changeset_ty &S) override {
167     return DDAI.GetTestResult(S, Required);
168   }
169 
170 public:
171   DeltaActiveSetHelper(DAGDeltaAlgorithmImpl &DDAI,
172                        const changeset_ty &Required)
173       : DDAI(DDAI), Required(Required) {}
174 };
175 
176 } // namespace
177 
178 DAGDeltaAlgorithmImpl::DAGDeltaAlgorithmImpl(
179     DAGDeltaAlgorithm &DDA, const changeset_ty &Changes,
180     const std::vector<edge_ty> &Dependencies)
181     : DDA(DDA) {
182   for (change_ty Change : Changes) {
183     Predecessors.insert(std::make_pair(Change, std::vector<change_ty>()));
184     Successors.insert(std::make_pair(Change, std::vector<change_ty>()));
185   }
186   for (const edge_ty &Dep : Dependencies) {
187     Predecessors[Dep.second].push_back(Dep.first);
188     Successors[Dep.first].push_back(Dep.second);
189   }
190 
191   // Compute the roots.
192   for (change_ty Change : Changes)
193     if (succ_begin(Change) == succ_end(Change))
194       Roots.push_back(Change);
195 
196   // Pre-compute the closure of the successor relation.
197   std::vector<change_ty> Worklist(Roots.begin(), Roots.end());
198   while (!Worklist.empty()) {
199     change_ty Change = Worklist.back();
200     Worklist.pop_back();
201 
202     std::set<change_ty> &ChangeSuccs = SuccClosure[Change];
203     for (pred_iterator_ty it = pred_begin(Change),
204            ie = pred_end(Change); it != ie; ++it) {
205       SuccClosure[*it].insert(Change);
206       SuccClosure[*it].insert(ChangeSuccs.begin(), ChangeSuccs.end());
207       Worklist.push_back(*it);
208     }
209   }
210 
211   // Invert to form the predecessor closure map.
212   for (change_ty Change : Changes)
213     PredClosure.insert(std::make_pair(Change, std::set<change_ty>()));
214   for (change_ty Change : Changes)
215     for (succ_closure_iterator_ty it2 = succ_closure_begin(Change),
216                                   ie2 = succ_closure_end(Change);
217          it2 != ie2; ++it2)
218       PredClosure[*it2].insert(Change);
219 
220   // Dump useful debug info.
221   LLVM_DEBUG({
222     llvm::errs() << "-- DAGDeltaAlgorithmImpl --\n";
223     llvm::errs() << "Changes: [";
224     for (changeset_ty::const_iterator it = Changes.begin(), ie = Changes.end();
225          it != ie; ++it) {
226       if (it != Changes.begin())
227         llvm::errs() << ", ";
228       llvm::errs() << *it;
229 
230       if (succ_begin(*it) != succ_end(*it)) {
231         llvm::errs() << "(";
232         for (succ_iterator_ty it2 = succ_begin(*it), ie2 = succ_end(*it);
233              it2 != ie2; ++it2) {
234           if (it2 != succ_begin(*it))
235             llvm::errs() << ", ";
236           llvm::errs() << "->" << *it2;
237         }
238         llvm::errs() << ")";
239       }
240     }
241     llvm::errs() << "]\n";
242 
243     llvm::errs() << "Roots: [";
244     for (std::vector<change_ty>::const_iterator it = Roots.begin(),
245                                                 ie = Roots.end();
246          it != ie; ++it) {
247       if (it != Roots.begin())
248         llvm::errs() << ", ";
249       llvm::errs() << *it;
250     }
251     llvm::errs() << "]\n";
252 
253     llvm::errs() << "Predecessor Closure:\n";
254     for (change_ty Change : Changes) {
255       llvm::errs() << format("  %-4d: [", Change);
256       for (pred_closure_iterator_ty it2 = pred_closure_begin(Change),
257                                     ie2 = pred_closure_end(Change);
258            it2 != ie2; ++it2) {
259         if (it2 != pred_closure_begin(Change))
260           llvm::errs() << ", ";
261         llvm::errs() << *it2;
262       }
263       llvm::errs() << "]\n";
264     }
265 
266     llvm::errs() << "Successor Closure:\n";
267     for (change_ty Change : Changes) {
268       llvm::errs() << format("  %-4d: [", Change);
269       for (succ_closure_iterator_ty it2 = succ_closure_begin(Change),
270                                     ie2 = succ_closure_end(Change);
271            it2 != ie2; ++it2) {
272         if (it2 != succ_closure_begin(Change))
273           llvm::errs() << ", ";
274         llvm::errs() << *it2;
275       }
276       llvm::errs() << "]\n";
277     }
278 
279     llvm::errs() << "\n\n";
280   });
281 }
282 
283 bool DAGDeltaAlgorithmImpl::GetTestResult(const changeset_ty &Changes,
284                                           const changeset_ty &Required) {
285   changeset_ty Extended(Required);
286   Extended.insert(Changes.begin(), Changes.end());
287   for (change_ty Change : Changes)
288     Extended.insert(pred_closure_begin(Change), pred_closure_end(Change));
289 
290   if (FailedTestsCache.count(Extended))
291     return false;
292 
293   bool Result = ExecuteOneTest(Extended);
294   if (!Result)
295     FailedTestsCache.insert(Extended);
296 
297   return Result;
298 }
299 
300 DAGDeltaAlgorithm::changeset_ty
301 DAGDeltaAlgorithmImpl::Run() {
302   // The current set of changes we are minimizing, starting at the roots.
303   changeset_ty CurrentSet(Roots.begin(), Roots.end());
304 
305   // The set of required changes.
306   changeset_ty Required;
307 
308   // Iterate until the active set of changes is empty. Convergence is guaranteed
309   // assuming input was a DAG.
310   //
311   // Invariant:  CurrentSet intersect Required == {}
312   // Invariant:  Required == (Required union succ*(Required))
313   while (!CurrentSet.empty()) {
314     LLVM_DEBUG({
315       llvm::errs() << "DAG_DD - " << CurrentSet.size() << " active changes, "
316                    << Required.size() << " required changes\n";
317     });
318 
319     // Minimize the current set of changes.
320     DeltaActiveSetHelper Helper(*this, Required);
321     changeset_ty CurrentMinSet = Helper.Run(CurrentSet);
322 
323     // Update the set of required changes. Since
324     //   CurrentMinSet subset CurrentSet
325     // and after the last iteration,
326     //   succ(CurrentSet) subset Required
327     // then
328     //   succ(CurrentMinSet) subset Required
329     // and our invariant on Required is maintained.
330     Required.insert(CurrentMinSet.begin(), CurrentMinSet.end());
331 
332     // Replace the current set with the predecssors of the minimized set of
333     // active changes.
334     CurrentSet.clear();
335     for (change_ty CT : CurrentMinSet)
336       CurrentSet.insert(pred_begin(CT), pred_end(CT));
337 
338     // FIXME: We could enforce CurrentSet intersect Required == {} here if we
339     // wanted to protect against cyclic graphs.
340   }
341 
342   return Required;
343 }
344 
345 void DAGDeltaAlgorithm::anchor() {
346 }
347 
348 DAGDeltaAlgorithm::changeset_ty
349 DAGDeltaAlgorithm::Run(const changeset_ty &Changes,
350                        const std::vector<edge_ty> &Dependencies) {
351   return DAGDeltaAlgorithmImpl(*this, Changes, Dependencies).Run();
352 }
353