xref: /llvm-project/llvm/lib/Support/DAGDeltaAlgorithm.cpp (revision d44ea7186befe38eb2b3804b15cd1ee1777458ed)
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 <cassert>
39 #include <map>
40 using namespace llvm;
41 
42 #define DEBUG_TYPE "dag-delta"
43 
44 namespace {
45 
46 class DAGDeltaAlgorithmImpl {
47   friend class DeltaActiveSetHelper;
48 
49 public:
50   typedef DAGDeltaAlgorithm::change_ty change_ty;
51   typedef DAGDeltaAlgorithm::changeset_ty changeset_ty;
52   typedef DAGDeltaAlgorithm::changesetlist_ty changesetlist_ty;
53   typedef DAGDeltaAlgorithm::edge_ty edge_ty;
54 
55 private:
56   typedef std::vector<change_ty>::iterator pred_iterator_ty;
57   typedef std::vector<change_ty>::iterator succ_iterator_ty;
58   typedef std::set<change_ty>::iterator pred_closure_iterator_ty;
59   typedef std::set<change_ty>::iterator succ_closure_iterator_ty;
60 
61   DAGDeltaAlgorithm &DDA;
62 
63   std::vector<change_ty> Roots;
64 
65   /// Cache of failed test results. Successful test results are never cached
66   /// since we always reduce following a success. We maintain an independent
67   /// cache from that used by the individual delta passes because we may get
68   /// hits across multiple individual delta invocations.
69   mutable std::set<changeset_ty> FailedTestsCache;
70 
71   // FIXME: Gross.
72   std::map<change_ty, std::vector<change_ty> > Predecessors;
73   std::map<change_ty, std::vector<change_ty> > Successors;
74 
75   std::map<change_ty, std::set<change_ty> > PredClosure;
76   std::map<change_ty, std::set<change_ty> > SuccClosure;
77 
78 private:
79   pred_iterator_ty pred_begin(change_ty Node) {
80     assert(Predecessors.count(Node) && "Invalid node!");
81     return Predecessors[Node].begin();
82   }
83   pred_iterator_ty pred_end(change_ty Node) {
84     assert(Predecessors.count(Node) && "Invalid node!");
85     return Predecessors[Node].end();
86   }
87 
88   pred_closure_iterator_ty pred_closure_begin(change_ty Node) {
89     assert(PredClosure.count(Node) && "Invalid node!");
90     return PredClosure[Node].begin();
91   }
92   pred_closure_iterator_ty pred_closure_end(change_ty Node) {
93     assert(PredClosure.count(Node) && "Invalid node!");
94     return PredClosure[Node].end();
95   }
96 
97   succ_iterator_ty succ_begin(change_ty Node) {
98     assert(Successors.count(Node) && "Invalid node!");
99     return Successors[Node].begin();
100   }
101   succ_iterator_ty succ_end(change_ty Node) {
102     assert(Successors.count(Node) && "Invalid node!");
103     return Successors[Node].end();
104   }
105 
106   succ_closure_iterator_ty succ_closure_begin(change_ty Node) {
107     assert(SuccClosure.count(Node) && "Invalid node!");
108     return SuccClosure[Node].begin();
109   }
110   succ_closure_iterator_ty succ_closure_end(change_ty Node) {
111     assert(SuccClosure.count(Node) && "Invalid node!");
112     return SuccClosure[Node].end();
113   }
114 
115   void UpdatedSearchState(const changeset_ty &Changes,
116                           const changesetlist_ty &Sets,
117                           const changeset_ty &Required) {
118     DDA.UpdatedSearchState(Changes, Sets, Required);
119   }
120 
121   /// ExecuteOneTest - Execute a single test predicate on the change set \p S.
122   bool ExecuteOneTest(const changeset_ty &S) {
123     // Check dependencies invariant.
124     LLVM_DEBUG({
125       for (changeset_ty::const_iterator it = S.begin(), ie = S.end(); it != ie;
126            ++it)
127         for (succ_iterator_ty it2 = succ_begin(*it), ie2 = succ_end(*it);
128              it2 != ie2; ++it2)
129           assert(S.count(*it2) && "Attempt to run invalid changeset!");
130     });
131 
132     return DDA.ExecuteOneTest(S);
133   }
134 
135 public:
136   DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &DDA, const changeset_ty &Changes,
137                         const std::vector<edge_ty> &Dependencies);
138 
139   changeset_ty Run();
140 
141   /// GetTestResult - Get the test result for the active set \p Changes with
142   /// \p Required changes from the cache, executing the test if necessary.
143   ///
144   /// \param Changes - The set of active changes being minimized, which should
145   /// have their pred closure included in the test.
146   /// \param Required - The set of changes which have previously been
147   /// established to be required.
148   /// \return - The test result.
149   bool GetTestResult(const changeset_ty &Changes, const changeset_ty &Required);
150 };
151 
152 /// Helper object for minimizing an active set of changes.
153 class DeltaActiveSetHelper : public DeltaAlgorithm {
154   DAGDeltaAlgorithmImpl &DDAI;
155 
156   const changeset_ty &Required;
157 
158 protected:
159   /// UpdatedSearchState - Callback used when the search state changes.
160   void UpdatedSearchState(const changeset_ty &Changes,
161                                   const changesetlist_ty &Sets) override {
162     DDAI.UpdatedSearchState(Changes, Sets, Required);
163   }
164 
165   bool ExecuteOneTest(const changeset_ty &S) override {
166     return DDAI.GetTestResult(S, Required);
167   }
168 
169 public:
170   DeltaActiveSetHelper(DAGDeltaAlgorithmImpl &DDAI,
171                        const changeset_ty &Required)
172       : DDAI(DDAI), Required(Required) {}
173 };
174 
175 } // namespace
176 
177 DAGDeltaAlgorithmImpl::DAGDeltaAlgorithmImpl(
178     DAGDeltaAlgorithm &DDA, const changeset_ty &Changes,
179     const std::vector<edge_ty> &Dependencies)
180     : DDA(DDA) {
181   for (change_ty Change : Changes) {
182     Predecessors.insert(std::make_pair(Change, std::vector<change_ty>()));
183     Successors.insert(std::make_pair(Change, std::vector<change_ty>()));
184   }
185   for (const edge_ty &Dep : Dependencies) {
186     Predecessors[Dep.second].push_back(Dep.first);
187     Successors[Dep.first].push_back(Dep.second);
188   }
189 
190   // Compute the roots.
191   for (change_ty Change : Changes)
192     if (succ_begin(Change) == succ_end(Change))
193       Roots.push_back(Change);
194 
195   // Pre-compute the closure of the successor relation.
196   std::vector<change_ty> Worklist(Roots.begin(), Roots.end());
197   while (!Worklist.empty()) {
198     change_ty Change = Worklist.back();
199     Worklist.pop_back();
200 
201     std::set<change_ty> &ChangeSuccs = SuccClosure[Change];
202     for (pred_iterator_ty it = pred_begin(Change),
203            ie = pred_end(Change); it != ie; ++it) {
204       SuccClosure[*it].insert(Change);
205       SuccClosure[*it].insert(ChangeSuccs.begin(), ChangeSuccs.end());
206       Worklist.push_back(*it);
207     }
208   }
209 
210   // Invert to form the predecessor closure map.
211   for (change_ty Change : Changes)
212     PredClosure.insert(std::make_pair(Change, std::set<change_ty>()));
213   for (change_ty Change : Changes)
214     for (succ_closure_iterator_ty it2 = succ_closure_begin(Change),
215                                   ie2 = succ_closure_end(Change);
216          it2 != ie2; ++it2)
217       PredClosure[*it2].insert(Change);
218 
219   // Dump useful debug info.
220   LLVM_DEBUG({
221     llvm::errs() << "-- DAGDeltaAlgorithmImpl --\n";
222     llvm::errs() << "Changes: [";
223     for (changeset_ty::const_iterator it = Changes.begin(), ie = Changes.end();
224          it != ie; ++it) {
225       if (it != Changes.begin())
226         llvm::errs() << ", ";
227       llvm::errs() << *it;
228 
229       if (succ_begin(*it) != succ_end(*it)) {
230         llvm::errs() << "(";
231         for (succ_iterator_ty it2 = succ_begin(*it), ie2 = succ_end(*it);
232              it2 != ie2; ++it2) {
233           if (it2 != succ_begin(*it))
234             llvm::errs() << ", ";
235           llvm::errs() << "->" << *it2;
236         }
237         llvm::errs() << ")";
238       }
239     }
240     llvm::errs() << "]\n";
241 
242     llvm::errs() << "Roots: [";
243     for (std::vector<change_ty>::const_iterator it = Roots.begin(),
244                                                 ie = Roots.end();
245          it != ie; ++it) {
246       if (it != Roots.begin())
247         llvm::errs() << ", ";
248       llvm::errs() << *it;
249     }
250     llvm::errs() << "]\n";
251 
252     llvm::errs() << "Predecessor Closure:\n";
253     for (change_ty Change : Changes) {
254       llvm::errs() << format("  %-4d: [", Change);
255       for (pred_closure_iterator_ty it2 = pred_closure_begin(Change),
256                                     ie2 = pred_closure_end(Change);
257            it2 != ie2; ++it2) {
258         if (it2 != pred_closure_begin(Change))
259           llvm::errs() << ", ";
260         llvm::errs() << *it2;
261       }
262       llvm::errs() << "]\n";
263     }
264 
265     llvm::errs() << "Successor Closure:\n";
266     for (change_ty Change : Changes) {
267       llvm::errs() << format("  %-4d: [", Change);
268       for (succ_closure_iterator_ty it2 = succ_closure_begin(Change),
269                                     ie2 = succ_closure_end(Change);
270            it2 != ie2; ++it2) {
271         if (it2 != succ_closure_begin(Change))
272           llvm::errs() << ", ";
273         llvm::errs() << *it2;
274       }
275       llvm::errs() << "]\n";
276     }
277 
278     llvm::errs() << "\n\n";
279   });
280 }
281 
282 bool DAGDeltaAlgorithmImpl::GetTestResult(const changeset_ty &Changes,
283                                           const changeset_ty &Required) {
284   changeset_ty Extended(Required);
285   Extended.insert(Changes.begin(), Changes.end());
286   for (change_ty Change : Changes)
287     Extended.insert(pred_closure_begin(Change), pred_closure_end(Change));
288 
289   if (FailedTestsCache.count(Extended))
290     return false;
291 
292   bool Result = ExecuteOneTest(Extended);
293   if (!Result)
294     FailedTestsCache.insert(Extended);
295 
296   return Result;
297 }
298 
299 DAGDeltaAlgorithm::changeset_ty
300 DAGDeltaAlgorithmImpl::Run() {
301   // The current set of changes we are minimizing, starting at the roots.
302   changeset_ty CurrentSet(Roots.begin(), Roots.end());
303 
304   // The set of required changes.
305   changeset_ty Required;
306 
307   // Iterate until the active set of changes is empty. Convergence is guaranteed
308   // assuming input was a DAG.
309   //
310   // Invariant:  CurrentSet intersect Required == {}
311   // Invariant:  Required == (Required union succ*(Required))
312   while (!CurrentSet.empty()) {
313     LLVM_DEBUG({
314       llvm::errs() << "DAG_DD - " << CurrentSet.size() << " active changes, "
315                    << Required.size() << " required changes\n";
316     });
317 
318     // Minimize the current set of changes.
319     DeltaActiveSetHelper Helper(*this, Required);
320     changeset_ty CurrentMinSet = Helper.Run(CurrentSet);
321 
322     // Update the set of required changes. Since
323     //   CurrentMinSet subset CurrentSet
324     // and after the last iteration,
325     //   succ(CurrentSet) subset Required
326     // then
327     //   succ(CurrentMinSet) subset Required
328     // and our invariant on Required is maintained.
329     Required.insert(CurrentMinSet.begin(), CurrentMinSet.end());
330 
331     // Replace the current set with the predecssors of the minimized set of
332     // active changes.
333     CurrentSet.clear();
334     for (change_ty CT : CurrentMinSet)
335       CurrentSet.insert(pred_begin(CT), pred_end(CT));
336 
337     // FIXME: We could enforce CurrentSet intersect Required == {} here if we
338     // wanted to protect against cyclic graphs.
339   }
340 
341   return Required;
342 }
343 
344 void DAGDeltaAlgorithm::anchor() {
345 }
346 
347 DAGDeltaAlgorithm::changeset_ty
348 DAGDeltaAlgorithm::Run(const changeset_ty &Changes,
349                        const std::vector<edge_ty> &Dependencies) {
350   return DAGDeltaAlgorithmImpl(*this, Changes, Dependencies).Run();
351 }
352