1 //===--- DAGDeltaAlgorithm.cpp - A DAG Minimization Algorithm --*- C++ -*--===//
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 //===----------------------------------------------------------------------===//
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
12 // 1. Minimize the set R using the test predicate:
13 // P'(S) = P(S union pred*(S))
15 // 2. Extend R to R' = R union pred(R).
17 // until a fixed point is reached.
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
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
31 //===----------------------------------------------------------------------===//
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"
44 #define DEBUG_TYPE "dag-delta"
48 class DAGDeltaAlgorithmImpl
{
49 friend class DeltaActiveSetHelper
;
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
;
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
;
63 DAGDeltaAlgorithm
&DDA
;
65 std::vector
<change_ty
> Roots
;
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
;
74 std::map
<change_ty
, std::vector
<change_ty
> > Predecessors
;
75 std::map
<change_ty
, std::vector
<change_ty
> > Successors
;
77 std::map
<change_ty
, std::set
<change_ty
> > PredClosure
;
78 std::map
<change_ty
, std::set
<change_ty
> > SuccClosure
;
81 pred_iterator_ty
pred_begin(change_ty Node
) {
82 assert(Predecessors
.count(Node
) && "Invalid node!");
83 return Predecessors
[Node
].begin();
85 pred_iterator_ty
pred_end(change_ty Node
) {
86 assert(Predecessors
.count(Node
) && "Invalid node!");
87 return Predecessors
[Node
].end();
90 pred_closure_iterator_ty
pred_closure_begin(change_ty Node
) {
91 assert(PredClosure
.count(Node
) && "Invalid node!");
92 return PredClosure
[Node
].begin();
94 pred_closure_iterator_ty
pred_closure_end(change_ty Node
) {
95 assert(PredClosure
.count(Node
) && "Invalid node!");
96 return PredClosure
[Node
].end();
99 succ_iterator_ty
succ_begin(change_ty Node
) {
100 assert(Successors
.count(Node
) && "Invalid node!");
101 return Successors
[Node
].begin();
103 succ_iterator_ty
succ_end(change_ty Node
) {
104 assert(Successors
.count(Node
) && "Invalid node!");
105 return Successors
[Node
].end();
108 succ_closure_iterator_ty
succ_closure_begin(change_ty Node
) {
109 assert(SuccClosure
.count(Node
) && "Invalid node!");
110 return SuccClosure
[Node
].begin();
112 succ_closure_iterator_ty
succ_closure_end(change_ty Node
) {
113 assert(SuccClosure
.count(Node
) && "Invalid node!");
114 return SuccClosure
[Node
].end();
117 void UpdatedSearchState(const changeset_ty
&Changes
,
118 const changesetlist_ty
&Sets
,
119 const changeset_ty
&Required
) {
120 DDA
.UpdatedSearchState(Changes
, Sets
, Required
);
123 /// ExecuteOneTest - Execute a single test predicate on the change set \p S.
124 bool ExecuteOneTest(const changeset_ty
&S
) {
125 // Check dependencies invariant.
127 for (changeset_ty::const_iterator it
= S
.begin(), ie
= S
.end(); it
!= ie
;
129 for (succ_iterator_ty it2
= succ_begin(*it
), ie2
= succ_end(*it
);
131 assert(S
.count(*it2
) && "Attempt to run invalid changeset!");
134 return DDA
.ExecuteOneTest(S
);
138 DAGDeltaAlgorithmImpl(DAGDeltaAlgorithm
&DDA
, const changeset_ty
&Changes
,
139 const std::vector
<edge_ty
> &Dependencies
);
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.
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
);
154 /// Helper object for minimizing an active set of changes.
155 class DeltaActiveSetHelper
: public DeltaAlgorithm
{
156 DAGDeltaAlgorithmImpl
&DDAI
;
158 const changeset_ty
&Required
;
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
);
167 bool ExecuteOneTest(const changeset_ty
&S
) override
{
168 return DDAI
.GetTestResult(S
, Required
);
172 DeltaActiveSetHelper(DAGDeltaAlgorithmImpl
&DDAI
,
173 const changeset_ty
&Required
)
174 : DDAI(DDAI
), Required(Required
) {}
179 DAGDeltaAlgorithmImpl::DAGDeltaAlgorithmImpl(
180 DAGDeltaAlgorithm
&DDA
, const changeset_ty
&Changes
,
181 const std::vector
<edge_ty
> &Dependencies
)
183 for (changeset_ty::const_iterator it
= Changes
.begin(),
184 ie
= Changes
.end(); it
!= ie
; ++it
) {
185 Predecessors
.insert(std::make_pair(*it
, std::vector
<change_ty
>()));
186 Successors
.insert(std::make_pair(*it
, std::vector
<change_ty
>()));
188 for (std::vector
<edge_ty
>::const_iterator it
= Dependencies
.begin(),
189 ie
= Dependencies
.end(); it
!= ie
; ++it
) {
190 Predecessors
[it
->second
].push_back(it
->first
);
191 Successors
[it
->first
].push_back(it
->second
);
194 // Compute the roots.
195 for (changeset_ty::const_iterator it
= Changes
.begin(),
196 ie
= Changes
.end(); it
!= ie
; ++it
)
197 if (succ_begin(*it
) == succ_end(*it
))
198 Roots
.push_back(*it
);
200 // Pre-compute the closure of the successor relation.
201 std::vector
<change_ty
> Worklist(Roots
.begin(), Roots
.end());
202 while (!Worklist
.empty()) {
203 change_ty Change
= Worklist
.back();
206 std::set
<change_ty
> &ChangeSuccs
= SuccClosure
[Change
];
207 for (pred_iterator_ty it
= pred_begin(Change
),
208 ie
= pred_end(Change
); it
!= ie
; ++it
) {
209 SuccClosure
[*it
].insert(Change
);
210 SuccClosure
[*it
].insert(ChangeSuccs
.begin(), ChangeSuccs
.end());
211 Worklist
.push_back(*it
);
215 // Invert to form the predecessor closure map.
216 for (changeset_ty::const_iterator it
= Changes
.begin(),
217 ie
= Changes
.end(); it
!= ie
; ++it
)
218 PredClosure
.insert(std::make_pair(*it
, std::set
<change_ty
>()));
219 for (changeset_ty::const_iterator it
= Changes
.begin(),
220 ie
= Changes
.end(); it
!= ie
; ++it
)
221 for (succ_closure_iterator_ty it2
= succ_closure_begin(*it
),
222 ie2
= succ_closure_end(*it
); it2
!= ie2
; ++it2
)
223 PredClosure
[*it2
].insert(*it
);
225 // Dump useful debug info.
227 llvm::errs() << "-- DAGDeltaAlgorithmImpl --\n";
228 llvm::errs() << "Changes: [";
229 for (changeset_ty::const_iterator it
= Changes
.begin(), ie
= Changes
.end();
231 if (it
!= Changes
.begin())
232 llvm::errs() << ", ";
235 if (succ_begin(*it
) != succ_end(*it
)) {
237 for (succ_iterator_ty it2
= succ_begin(*it
), ie2
= succ_end(*it
);
239 if (it2
!= succ_begin(*it
))
240 llvm::errs() << ", ";
241 llvm::errs() << "->" << *it2
;
246 llvm::errs() << "]\n";
248 llvm::errs() << "Roots: [";
249 for (std::vector
<change_ty
>::const_iterator it
= Roots
.begin(),
252 if (it
!= Roots
.begin())
253 llvm::errs() << ", ";
256 llvm::errs() << "]\n";
258 llvm::errs() << "Predecessor Closure:\n";
259 for (changeset_ty::const_iterator it
= Changes
.begin(), ie
= Changes
.end();
261 llvm::errs() << format(" %-4d: [", *it
);
262 for (pred_closure_iterator_ty it2
= pred_closure_begin(*it
),
263 ie2
= pred_closure_end(*it
);
265 if (it2
!= pred_closure_begin(*it
))
266 llvm::errs() << ", ";
267 llvm::errs() << *it2
;
269 llvm::errs() << "]\n";
272 llvm::errs() << "Successor Closure:\n";
273 for (changeset_ty::const_iterator it
= Changes
.begin(), ie
= Changes
.end();
275 llvm::errs() << format(" %-4d: [", *it
);
276 for (succ_closure_iterator_ty it2
= succ_closure_begin(*it
),
277 ie2
= succ_closure_end(*it
);
279 if (it2
!= succ_closure_begin(*it
))
280 llvm::errs() << ", ";
281 llvm::errs() << *it2
;
283 llvm::errs() << "]\n";
286 llvm::errs() << "\n\n";
290 bool DAGDeltaAlgorithmImpl::GetTestResult(const changeset_ty
&Changes
,
291 const changeset_ty
&Required
) {
292 changeset_ty
Extended(Required
);
293 Extended
.insert(Changes
.begin(), Changes
.end());
294 for (changeset_ty::const_iterator it
= Changes
.begin(),
295 ie
= Changes
.end(); it
!= ie
; ++it
)
296 Extended
.insert(pred_closure_begin(*it
), pred_closure_end(*it
));
298 if (FailedTestsCache
.count(Extended
))
301 bool Result
= ExecuteOneTest(Extended
);
303 FailedTestsCache
.insert(Extended
);
308 DAGDeltaAlgorithm::changeset_ty
309 DAGDeltaAlgorithmImpl::Run() {
310 // The current set of changes we are minimizing, starting at the roots.
311 changeset_ty
CurrentSet(Roots
.begin(), Roots
.end());
313 // The set of required changes.
314 changeset_ty Required
;
316 // Iterate until the active set of changes is empty. Convergence is guaranteed
317 // assuming input was a DAG.
319 // Invariant: CurrentSet intersect Required == {}
320 // Invariant: Required == (Required union succ*(Required))
321 while (!CurrentSet
.empty()) {
323 llvm::errs() << "DAG_DD - " << CurrentSet
.size() << " active changes, "
324 << Required
.size() << " required changes\n";
327 // Minimize the current set of changes.
328 DeltaActiveSetHelper
Helper(*this, Required
);
329 changeset_ty CurrentMinSet
= Helper
.Run(CurrentSet
);
331 // Update the set of required changes. Since
332 // CurrentMinSet subset CurrentSet
333 // and after the last iteration,
334 // succ(CurrentSet) subset Required
336 // succ(CurrentMinSet) subset Required
337 // and our invariant on Required is maintained.
338 Required
.insert(CurrentMinSet
.begin(), CurrentMinSet
.end());
340 // Replace the current set with the predecssors of the minimized set of
343 for (changeset_ty::const_iterator it
= CurrentMinSet
.begin(),
344 ie
= CurrentMinSet
.end(); it
!= ie
; ++it
)
345 CurrentSet
.insert(pred_begin(*it
), pred_end(*it
));
347 // FIXME: We could enforce CurrentSet intersect Required == {} here if we
348 // wanted to protect against cyclic graphs.
354 void DAGDeltaAlgorithm::anchor() {
357 DAGDeltaAlgorithm::changeset_ty
358 DAGDeltaAlgorithm::Run(const changeset_ty
&Changes
,
359 const std::vector
<edge_ty
> &Dependencies
) {
360 return DAGDeltaAlgorithmImpl(*this, Changes
, Dependencies
).Run();