xref: /freebsd-src/contrib/llvm-project/llvm/lib/Support/DAGDeltaAlgorithm.cpp (revision 0eae32dcef82f6f06de6419a0d623d7def0cc8f6)
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 <iterator>
41 #include <map>
42 using namespace llvm;
43 
44 #define DEBUG_TYPE "dag-delta"
45 
46 namespace {
47 
48 class DAGDeltaAlgorithmImpl {
49   friend class DeltaActiveSetHelper;
50 
51 public:
52   typedef DAGDeltaAlgorithm::change_ty change_ty;
53   typedef DAGDeltaAlgorithm::changeset_ty changeset_ty;
54   typedef DAGDeltaAlgorithm::changesetlist_ty changesetlist_ty;
55   typedef DAGDeltaAlgorithm::edge_ty edge_ty;
56 
57 private:
58   typedef std::vector<change_ty>::iterator pred_iterator_ty;
59   typedef std::vector<change_ty>::iterator succ_iterator_ty;
60   typedef std::set<change_ty>::iterator pred_closure_iterator_ty;
61   typedef std::set<change_ty>::iterator succ_closure_iterator_ty;
62 
63   DAGDeltaAlgorithm &DDA;
64 
65   std::vector<change_ty> Roots;
66 
67   /// Cache of failed test results. Successful test results are never cached
68   /// since we always reduce following a success. We maintain an independent
69   /// cache from that used by the individual delta passes because we may get
70   /// hits across multiple individual delta invocations.
71   mutable std::set<changeset_ty> FailedTestsCache;
72 
73   // FIXME: Gross.
74   std::map<change_ty, std::vector<change_ty> > Predecessors;
75   std::map<change_ty, std::vector<change_ty> > Successors;
76 
77   std::map<change_ty, std::set<change_ty> > PredClosure;
78   std::map<change_ty, std::set<change_ty> > SuccClosure;
79 
80 private:
81   pred_iterator_ty pred_begin(change_ty Node) {
82     assert(Predecessors.count(Node) && "Invalid node!");
83     return Predecessors[Node].begin();
84   }
85   pred_iterator_ty pred_end(change_ty Node) {
86     assert(Predecessors.count(Node) && "Invalid node!");
87     return Predecessors[Node].end();
88   }
89 
90   pred_closure_iterator_ty pred_closure_begin(change_ty Node) {
91     assert(PredClosure.count(Node) && "Invalid node!");
92     return PredClosure[Node].begin();
93   }
94   pred_closure_iterator_ty pred_closure_end(change_ty Node) {
95     assert(PredClosure.count(Node) && "Invalid node!");
96     return PredClosure[Node].end();
97   }
98 
99   succ_iterator_ty succ_begin(change_ty Node) {
100     assert(Successors.count(Node) && "Invalid node!");
101     return Successors[Node].begin();
102   }
103   succ_iterator_ty succ_end(change_ty Node) {
104     assert(Successors.count(Node) && "Invalid node!");
105     return Successors[Node].end();
106   }
107 
108   succ_closure_iterator_ty succ_closure_begin(change_ty Node) {
109     assert(SuccClosure.count(Node) && "Invalid node!");
110     return SuccClosure[Node].begin();
111   }
112   succ_closure_iterator_ty succ_closure_end(change_ty Node) {
113     assert(SuccClosure.count(Node) && "Invalid node!");
114     return SuccClosure[Node].end();
115   }
116 
117   void UpdatedSearchState(const changeset_ty &Changes,
118                           const changesetlist_ty &Sets,
119                           const changeset_ty &Required) {
120     DDA.UpdatedSearchState(Changes, Sets, Required);
121   }
122 
123   /// ExecuteOneTest - Execute a single test predicate on the change set \p S.
124   bool ExecuteOneTest(const changeset_ty &S) {
125     // Check dependencies invariant.
126     LLVM_DEBUG({
127       for (changeset_ty::const_iterator it = S.begin(), ie = S.end(); it != ie;
128            ++it)
129         for (succ_iterator_ty it2 = succ_begin(*it), ie2 = succ_end(*it);
130              it2 != ie2; ++it2)
131           assert(S.count(*it2) && "Attempt to run invalid changeset!");
132     });
133 
134     return DDA.ExecuteOneTest(S);
135   }
136 
137 public:
138   DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm &DDA, const changeset_ty &Changes,
139                         const std::vector<edge_ty> &Dependencies);
140 
141   changeset_ty Run();
142 
143   /// GetTestResult - Get the test result for the active set \p Changes with
144   /// \p Required changes from the cache, executing the test if necessary.
145   ///
146   /// \param Changes - The set of active changes being minimized, which should
147   /// have their pred closure included in the test.
148   /// \param Required - The set of changes which have previously been
149   /// established to be required.
150   /// \return - The test result.
151   bool GetTestResult(const changeset_ty &Changes, const changeset_ty &Required);
152 };
153 
154 /// Helper object for minimizing an active set of changes.
155 class DeltaActiveSetHelper : public DeltaAlgorithm {
156   DAGDeltaAlgorithmImpl &DDAI;
157 
158   const changeset_ty &Required;
159 
160 protected:
161   /// UpdatedSearchState - Callback used when the search state changes.
162   void UpdatedSearchState(const changeset_ty &Changes,
163                                   const changesetlist_ty &Sets) override {
164     DDAI.UpdatedSearchState(Changes, Sets, Required);
165   }
166 
167   bool ExecuteOneTest(const changeset_ty &S) override {
168     return DDAI.GetTestResult(S, Required);
169   }
170 
171 public:
172   DeltaActiveSetHelper(DAGDeltaAlgorithmImpl &DDAI,
173                        const changeset_ty &Required)
174       : DDAI(DDAI), Required(Required) {}
175 };
176 
177 } // namespace
178 
179 DAGDeltaAlgorithmImpl::DAGDeltaAlgorithmImpl(
180     DAGDeltaAlgorithm &DDA, const changeset_ty &Changes,
181     const std::vector<edge_ty> &Dependencies)
182     : DDA(DDA) {
183   for (change_ty Change : Changes) {
184     Predecessors.insert(std::make_pair(Change, std::vector<change_ty>()));
185     Successors.insert(std::make_pair(Change, std::vector<change_ty>()));
186   }
187   for (const edge_ty &Dep : Dependencies) {
188     Predecessors[Dep.second].push_back(Dep.first);
189     Successors[Dep.first].push_back(Dep.second);
190   }
191 
192   // Compute the roots.
193   for (change_ty Change : Changes)
194     if (succ_begin(Change) == succ_end(Change))
195       Roots.push_back(Change);
196 
197   // Pre-compute the closure of the successor relation.
198   std::vector<change_ty> Worklist(Roots.begin(), Roots.end());
199   while (!Worklist.empty()) {
200     change_ty Change = Worklist.back();
201     Worklist.pop_back();
202 
203     std::set<change_ty> &ChangeSuccs = SuccClosure[Change];
204     for (pred_iterator_ty it = pred_begin(Change),
205            ie = pred_end(Change); it != ie; ++it) {
206       SuccClosure[*it].insert(Change);
207       SuccClosure[*it].insert(ChangeSuccs.begin(), ChangeSuccs.end());
208       Worklist.push_back(*it);
209     }
210   }
211 
212   // Invert to form the predecessor closure map.
213   for (change_ty Change : Changes)
214     PredClosure.insert(std::make_pair(Change, std::set<change_ty>()));
215   for (change_ty Change : Changes)
216     for (succ_closure_iterator_ty it2 = succ_closure_begin(Change),
217                                   ie2 = succ_closure_end(Change);
218          it2 != ie2; ++it2)
219       PredClosure[*it2].insert(Change);
220 
221   // Dump useful debug info.
222   LLVM_DEBUG({
223     llvm::errs() << "-- DAGDeltaAlgorithmImpl --\n";
224     llvm::errs() << "Changes: [";
225     for (changeset_ty::const_iterator it = Changes.begin(), ie = Changes.end();
226          it != ie; ++it) {
227       if (it != Changes.begin())
228         llvm::errs() << ", ";
229       llvm::errs() << *it;
230 
231       if (succ_begin(*it) != succ_end(*it)) {
232         llvm::errs() << "(";
233         for (succ_iterator_ty it2 = succ_begin(*it), ie2 = succ_end(*it);
234              it2 != ie2; ++it2) {
235           if (it2 != succ_begin(*it))
236             llvm::errs() << ", ";
237           llvm::errs() << "->" << *it2;
238         }
239         llvm::errs() << ")";
240       }
241     }
242     llvm::errs() << "]\n";
243 
244     llvm::errs() << "Roots: [";
245     for (std::vector<change_ty>::const_iterator it = Roots.begin(),
246                                                 ie = Roots.end();
247          it != ie; ++it) {
248       if (it != Roots.begin())
249         llvm::errs() << ", ";
250       llvm::errs() << *it;
251     }
252     llvm::errs() << "]\n";
253 
254     llvm::errs() << "Predecessor Closure:\n";
255     for (change_ty Change : Changes) {
256       llvm::errs() << format("  %-4d: [", Change);
257       for (pred_closure_iterator_ty it2 = pred_closure_begin(Change),
258                                     ie2 = pred_closure_end(Change);
259            it2 != ie2; ++it2) {
260         if (it2 != pred_closure_begin(Change))
261           llvm::errs() << ", ";
262         llvm::errs() << *it2;
263       }
264       llvm::errs() << "]\n";
265     }
266 
267     llvm::errs() << "Successor Closure:\n";
268     for (change_ty Change : Changes) {
269       llvm::errs() << format("  %-4d: [", Change);
270       for (succ_closure_iterator_ty it2 = succ_closure_begin(Change),
271                                     ie2 = succ_closure_end(Change);
272            it2 != ie2; ++it2) {
273         if (it2 != succ_closure_begin(Change))
274           llvm::errs() << ", ";
275         llvm::errs() << *it2;
276       }
277       llvm::errs() << "]\n";
278     }
279 
280     llvm::errs() << "\n\n";
281   });
282 }
283 
284 bool DAGDeltaAlgorithmImpl::GetTestResult(const changeset_ty &Changes,
285                                           const changeset_ty &Required) {
286   changeset_ty Extended(Required);
287   Extended.insert(Changes.begin(), Changes.end());
288   for (change_ty Change : Changes)
289     Extended.insert(pred_closure_begin(Change), pred_closure_end(Change));
290 
291   if (FailedTestsCache.count(Extended))
292     return false;
293 
294   bool Result = ExecuteOneTest(Extended);
295   if (!Result)
296     FailedTestsCache.insert(Extended);
297 
298   return Result;
299 }
300 
301 DAGDeltaAlgorithm::changeset_ty
302 DAGDeltaAlgorithmImpl::Run() {
303   // The current set of changes we are minimizing, starting at the roots.
304   changeset_ty CurrentSet(Roots.begin(), Roots.end());
305 
306   // The set of required changes.
307   changeset_ty Required;
308 
309   // Iterate until the active set of changes is empty. Convergence is guaranteed
310   // assuming input was a DAG.
311   //
312   // Invariant:  CurrentSet intersect Required == {}
313   // Invariant:  Required == (Required union succ*(Required))
314   while (!CurrentSet.empty()) {
315     LLVM_DEBUG({
316       llvm::errs() << "DAG_DD - " << CurrentSet.size() << " active changes, "
317                    << Required.size() << " required changes\n";
318     });
319 
320     // Minimize the current set of changes.
321     DeltaActiveSetHelper Helper(*this, Required);
322     changeset_ty CurrentMinSet = Helper.Run(CurrentSet);
323 
324     // Update the set of required changes. Since
325     //   CurrentMinSet subset CurrentSet
326     // and after the last iteration,
327     //   succ(CurrentSet) subset Required
328     // then
329     //   succ(CurrentMinSet) subset Required
330     // and our invariant on Required is maintained.
331     Required.insert(CurrentMinSet.begin(), CurrentMinSet.end());
332 
333     // Replace the current set with the predecssors of the minimized set of
334     // active changes.
335     CurrentSet.clear();
336     for (change_ty CT : CurrentMinSet)
337       CurrentSet.insert(pred_begin(CT), pred_end(CT));
338 
339     // FIXME: We could enforce CurrentSet intersect Required == {} here if we
340     // wanted to protect against cyclic graphs.
341   }
342 
343   return Required;
344 }
345 
346 void DAGDeltaAlgorithm::anchor() {
347 }
348 
349 DAGDeltaAlgorithm::changeset_ty
350 DAGDeltaAlgorithm::Run(const changeset_ty &Changes,
351                        const std::vector<edge_ty> &Dependencies) {
352   return DAGDeltaAlgorithmImpl(*this, Changes, Dependencies).Run();
353 }
354