llvm-project/llvm/lib/Transforms/Scalar/LoopUnswitch.cpp

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//===- LoopUnswitch.cpp - Hoist loop-invariant conditionals in loop -------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This pass transforms loops that contain branches on loop-invariant conditions
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// to multiple loops. For example, it turns the left into the right code:
//
// for (...) if (lic)
// A for (...)
// if (lic) A; B; C
// B else
// C for (...)
// A; C
//
// This can increase the size of the code exponentially (doubling it every time
// a loop is unswitched) so we only unswitch if the resultant code will be
// smaller than a threshold.
//
// This pass expects LICM to be run before it to hoist invariant conditions out
// of the loop, to make the unswitching opportunity obvious.
//
//===----------------------------------------------------------------------===//
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/Statistic.h"
#include "llvm/Analysis/AssumptionCache.h"
#include "llvm/Analysis/CodeMetrics.h"
#include "llvm/Analysis/InstructionSimplify.h"
#include "llvm/Analysis/LegacyDivergenceAnalysis.h"
#include "llvm/Analysis/LoopInfo.h"
#include "llvm/Analysis/LoopIterator.h"
#include "llvm/Analysis/LoopPass.h"
#include "llvm/Analysis/MemorySSA.h"
#include "llvm/Analysis/MemorySSAUpdater.h"
#include "llvm/Analysis/ScalarEvolution.h"
#include "llvm/Analysis/TargetTransformInfo.h"
#include "llvm/IR/Attributes.h"
#include "llvm/IR/BasicBlock.h"
#include "llvm/IR/CallSite.h"
#include "llvm/IR/Constant.h"
#include "llvm/IR/Constants.h"
#include "llvm/IR/DerivedTypes.h"
#include "llvm/IR/Dominators.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/IRBuilder.h"
#include "llvm/IR/InstrTypes.h"
#include "llvm/IR/Instruction.h"
#include "llvm/IR/Instructions.h"
#include "llvm/IR/IntrinsicInst.h"
#include "llvm/IR/Intrinsics.h"
#include "llvm/IR/Module.h"
#include "llvm/IR/Type.h"
#include "llvm/IR/User.h"
#include "llvm/IR/Value.h"
#include "llvm/IR/ValueHandle.h"
#include "llvm/Pass.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/CommandLine.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/raw_ostream.h"
#include "llvm/Transforms/Scalar.h"
#include "llvm/Transforms/Scalar/LoopPassManager.h"
#include "llvm/Transforms/Utils/BasicBlockUtils.h"
#include "llvm/Transforms/Utils/Cloning.h"
#include "llvm/Transforms/Utils/Local.h"
[LPM] Factor all of the loop analysis usage updates into a common helper routine. We were getting this wrong in small ways and generally being very inconsistent about it across loop passes. Instead, let's have a common place where we do this. One minor downside is that this will require some analyses like SCEV in more places than they are strictly needed. However, this seems benign as these analyses are complete no-ops, and without this consistency we can in many cases end up with the legacy pass manager scheduling deciding to split up a loop pass pipeline in order to run the function analysis half-way through. It is very, very annoying to fix these without just being very pedantic across the board. The only loop passes I've not updated here are ones that use AU.setPreservesAll() such as IVUsers (an analysis) and the pass printer. They seemed less relevant. With this patch, almost all of the problems in PR24804 around loop pass pipelines are fixed. The one remaining issue is that we run simplify-cfg and instcombine in the middle of the loop pass pipeline. We've recently added some loop variants of these passes that would seem substantially cleaner to use, but this at least gets us much closer to the previous state. Notably, the seven loop pass managers is down to three. I've not updated the loop passes using LoopAccessAnalysis because that analysis hasn't been fully wired into LoopSimplify/LCSSA, and it isn't clear that those transforms want to support those forms anyways. They all run late anyways, so this is harmless. Similarly, LSR is left alone because it already carefully manages its forms and doesn't need to get fused into a single loop pass manager with a bunch of other loop passes. LoopReroll didn't use loop simplified form previously, and I've updated the test case to match the trivially different output. Finally, I've also factored all the pass initialization for the passes that use this technique as well, so that should be done regularly and reliably. Thanks to James for the help reviewing and thinking about this stuff, and Ben for help thinking about it as well! Differential Revision: http://reviews.llvm.org/D17435 llvm-svn: 261316
2016-02-19 18:45:18 +08:00
#include "llvm/Transforms/Utils/LoopUtils.h"
#include "llvm/Transforms/Utils/ValueMapper.h"
#include <algorithm>
#include <cassert>
#include <map>
#include <set>
#include <tuple>
#include <utility>
#include <vector>
using namespace llvm;
#define DEBUG_TYPE "loop-unswitch"
STATISTIC(NumBranches, "Number of branches unswitched");
STATISTIC(NumSwitches, "Number of switches unswitched");
STATISTIC(NumGuards, "Number of guards unswitched");
STATISTIC(NumSelects , "Number of selects unswitched");
STATISTIC(NumTrivial , "Number of unswitches that are trivial");
STATISTIC(NumSimplify, "Number of simplifications of unswitched code");
STATISTIC(TotalInsts, "Total number of instructions analyzed");
// The specific value of 100 here was chosen based only on intuition and a
// few specific examples.
static cl::opt<unsigned>
Threshold("loop-unswitch-threshold", cl::desc("Max loop size to unswitch"),
cl::init(100), cl::Hidden);
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namespace {
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class LUAnalysisCache {
using UnswitchedValsMap =
DenseMap<const SwitchInst *, SmallPtrSet<const Value *, 8>>;
using UnswitchedValsIt = UnswitchedValsMap::iterator;
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struct LoopProperties {
unsigned CanBeUnswitchedCount;
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
unsigned WasUnswitchedCount;
unsigned SizeEstimation;
UnswitchedValsMap UnswitchedVals;
};
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// Here we use std::map instead of DenseMap, since we need to keep valid
// LoopProperties pointer for current loop for better performance.
using LoopPropsMap = std::map<const Loop *, LoopProperties>;
using LoopPropsMapIt = LoopPropsMap::iterator;
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LoopPropsMap LoopsProperties;
UnswitchedValsMap *CurLoopInstructions = nullptr;
LoopProperties *CurrentLoopProperties = nullptr;
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This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
// A loop unswitching with an estimated cost above this threshold
// is not performed. MaxSize is turned into unswitching quota for
// the current loop, and reduced correspondingly, though note that
// the quota is returned by releaseMemory() when the loop has been
// processed, so that MaxSize will return to its previous
// value. So in most cases MaxSize will equal the Threshold flag
// when a new loop is processed. An exception to that is that
// MaxSize will have a smaller value while processing nested loops
// that were introduced due to loop unswitching of an outer loop.
//
// FIXME: The way that MaxSize works is subtle and depends on the
// pass manager processing loops and calling releaseMemory() in a
// specific order. It would be good to find a more straightforward
// way of doing what MaxSize does.
unsigned MaxSize;
2012-04-10 13:14:37 +08:00
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
public:
LUAnalysisCache() : MaxSize(Threshold) {}
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
// Analyze loop. Check its size, calculate is it possible to unswitch
// it. Returns true if we can unswitch this loop.
bool countLoop(const Loop *L, const TargetTransformInfo &TTI,
AssumptionCache *AC);
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
// Clean all data related to given loop.
void forgetLoop(const Loop *L);
// Mark case value as unswitched.
// Since SI instruction can be partly unswitched, in order to avoid
// extra unswitching in cloned loops keep track all unswitched values.
void setUnswitched(const SwitchInst *SI, const Value *V);
// Check was this case value unswitched before or not.
bool isUnswitched(const SwitchInst *SI, const Value *V);
// Returns true if another unswitching could be done within the cost
// threshold.
bool CostAllowsUnswitching();
// Clone all loop-unswitch related loop properties.
// Redistribute unswitching quotas.
// Note, that new loop data is stored inside the VMap.
void cloneData(const Loop *NewLoop, const Loop *OldLoop,
const ValueToValueMapTy &VMap);
};
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class LoopUnswitch : public LoopPass {
LoopInfo *LI; // Loop information
LPPassManager *LPM;
AssumptionCache *AC;
// Used to check if second loop needs processing after
// RewriteLoopBodyWithConditionConstant rewrites first loop.
std::vector<Loop*> LoopProcessWorklist;
LUAnalysisCache BranchesInfo;
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bool OptimizeForSize;
bool redoLoop = false;
Loop *currentLoop = nullptr;
DominatorTree *DT = nullptr;
MemorySSA *MSSA = nullptr;
std::unique_ptr<MemorySSAUpdater> MSSAU;
BasicBlock *loopHeader = nullptr;
BasicBlock *loopPreheader = nullptr;
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bool SanitizeMemory;
SimpleLoopSafetyInfo SafetyInfo;
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// LoopBlocks contains all of the basic blocks of the loop, including the
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// preheader of the loop, the body of the loop, and the exit blocks of the
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// loop, in that order.
std::vector<BasicBlock*> LoopBlocks;
// NewBlocks contained cloned copy of basic blocks from LoopBlocks.
std::vector<BasicBlock*> NewBlocks;
bool hasBranchDivergence;
public:
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static char ID; // Pass ID, replacement for typeid
explicit LoopUnswitch(bool Os = false, bool hasBranchDivergence = false)
: LoopPass(ID), OptimizeForSize(Os),
hasBranchDivergence(hasBranchDivergence) {
initializeLoopUnswitchPass(*PassRegistry::getPassRegistry());
}
bool runOnLoop(Loop *L, LPPassManager &LPM) override;
bool processCurrentLoop();
bool isUnreachableDueToPreviousUnswitching(BasicBlock *);
/// This transformation requires natural loop information & requires that
/// loop preheaders be inserted into the CFG.
///
void getAnalysisUsage(AnalysisUsage &AU) const override {
AU.addRequired<AssumptionCacheTracker>();
[PM] Change the core design of the TTI analysis to use a polymorphic type erased interface and a single analysis pass rather than an extremely complex analysis group. The end result is that the TTI analysis can contain a type erased implementation that supports the polymorphic TTI interface. We can build one from a target-specific implementation or from a dummy one in the IR. I've also factored all of the code into "mix-in"-able base classes, including CRTP base classes to facilitate calling back up to the most specialized form when delegating horizontally across the surface. These aren't as clean as I would like and I'm planning to work on cleaning some of this up, but I wanted to start by putting into the right form. There are a number of reasons for this change, and this particular design. The first and foremost reason is that an analysis group is complete overkill, and the chaining delegation strategy was so opaque, confusing, and high overhead that TTI was suffering greatly for it. Several of the TTI functions had failed to be implemented in all places because of the chaining-based delegation making there be no checking of this. A few other functions were implemented with incorrect delegation. The message to me was very clear working on this -- the delegation and analysis group structure was too confusing to be useful here. The other reason of course is that this is *much* more natural fit for the new pass manager. This will lay the ground work for a type-erased per-function info object that can look up the correct subtarget and even cache it. Yet another benefit is that this will significantly simplify the interaction of the pass managers and the TargetMachine. See the future work below. The downside of this change is that it is very, very verbose. I'm going to work to improve that, but it is somewhat an implementation necessity in C++ to do type erasure. =/ I discussed this design really extensively with Eric and Hal prior to going down this path, and afterward showed them the result. No one was really thrilled with it, but there doesn't seem to be a substantially better alternative. Using a base class and virtual method dispatch would make the code much shorter, but as discussed in the update to the programmer's manual and elsewhere, a polymorphic interface feels like the more principled approach even if this is perhaps the least compelling example of it. ;] Ultimately, there is still a lot more to be done here, but this was the huge chunk that I couldn't really split things out of because this was the interface change to TTI. I've tried to minimize all the other parts of this. The follow up work should include at least: 1) Improving the TargetMachine interface by having it directly return a TTI object. Because we have a non-pass object with value semantics and an internal type erasure mechanism, we can narrow the interface of the TargetMachine to *just* do what we need: build and return a TTI object that we can then insert into the pass pipeline. 2) Make the TTI object be fully specialized for a particular function. This will include splitting off a minimal form of it which is sufficient for the inliner and the old pass manager. 3) Add a new pass manager analysis which produces TTI objects from the target machine for each function. This may actually be done as part of #2 in order to use the new analysis to implement #2. 4) Work on narrowing the API between TTI and the targets so that it is easier to understand and less verbose to type erase. 5) Work on narrowing the API between TTI and its clients so that it is easier to understand and less verbose to forward. 6) Try to improve the CRTP-based delegation. I feel like this code is just a bit messy and exacerbating the complexity of implementing the TTI in each target. Many thanks to Eric and Hal for their help here. I ended up blocked on this somewhat more abruptly than I expected, and so I appreciate getting it sorted out very quickly. Differential Revision: http://reviews.llvm.org/D7293 llvm-svn: 227669
2015-01-31 11:43:40 +08:00
AU.addRequired<TargetTransformInfoWrapperPass>();
if (EnableMSSALoopDependency) {
AU.addRequired<MemorySSAWrapperPass>();
AU.addPreserved<MemorySSAWrapperPass>();
}
if (hasBranchDivergence)
AU.addRequired<LegacyDivergenceAnalysis>();
[LPM] Factor all of the loop analysis usage updates into a common helper routine. We were getting this wrong in small ways and generally being very inconsistent about it across loop passes. Instead, let's have a common place where we do this. One minor downside is that this will require some analyses like SCEV in more places than they are strictly needed. However, this seems benign as these analyses are complete no-ops, and without this consistency we can in many cases end up with the legacy pass manager scheduling deciding to split up a loop pass pipeline in order to run the function analysis half-way through. It is very, very annoying to fix these without just being very pedantic across the board. The only loop passes I've not updated here are ones that use AU.setPreservesAll() such as IVUsers (an analysis) and the pass printer. They seemed less relevant. With this patch, almost all of the problems in PR24804 around loop pass pipelines are fixed. The one remaining issue is that we run simplify-cfg and instcombine in the middle of the loop pass pipeline. We've recently added some loop variants of these passes that would seem substantially cleaner to use, but this at least gets us much closer to the previous state. Notably, the seven loop pass managers is down to three. I've not updated the loop passes using LoopAccessAnalysis because that analysis hasn't been fully wired into LoopSimplify/LCSSA, and it isn't clear that those transforms want to support those forms anyways. They all run late anyways, so this is harmless. Similarly, LSR is left alone because it already carefully manages its forms and doesn't need to get fused into a single loop pass manager with a bunch of other loop passes. LoopReroll didn't use loop simplified form previously, and I've updated the test case to match the trivially different output. Finally, I've also factored all the pass initialization for the passes that use this technique as well, so that should be done regularly and reliably. Thanks to James for the help reviewing and thinking about this stuff, and Ben for help thinking about it as well! Differential Revision: http://reviews.llvm.org/D17435 llvm-svn: 261316
2016-02-19 18:45:18 +08:00
getLoopAnalysisUsage(AU);
}
private:
void releaseMemory() override {
BranchesInfo.forgetLoop(currentLoop);
}
void initLoopData() {
loopHeader = currentLoop->getHeader();
loopPreheader = currentLoop->getLoopPreheader();
}
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/// Split all of the edges from inside the loop to their exit blocks.
/// Update the appropriate Phi nodes as we do so.
2015-08-12 05:11:56 +08:00
void SplitExitEdges(Loop *L,
const SmallVectorImpl<BasicBlock *> &ExitBlocks);
bool TryTrivialLoopUnswitch(bool &Changed);
bool UnswitchIfProfitable(Value *LoopCond, Constant *Val,
Instruction *TI = nullptr);
void UnswitchTrivialCondition(Loop *L, Value *Cond, Constant *Val,
BasicBlock *ExitBlock, Instruction *TI);
void UnswitchNontrivialCondition(Value *LIC, Constant *OnVal, Loop *L,
Instruction *TI);
void RewriteLoopBodyWithConditionConstant(Loop *L, Value *LIC,
Constant *Val, bool isEqual);
void EmitPreheaderBranchOnCondition(Value *LIC, Constant *Val,
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BasicBlock *TrueDest,
BasicBlock *FalseDest,
BranchInst *OldBranch, Instruction *TI);
void SimplifyCode(std::vector<Instruction*> &Worklist, Loop *L);
/// Given that the Invariant is not equal to Val. Simplify instructions
/// in the loop.
Value *SimplifyInstructionWithNotEqual(Instruction *Inst, Value *Invariant,
Constant *Val);
};
} // end anonymous namespace
// Analyze loop. Check its size, calculate is it possible to unswitch
// it. Returns true if we can unswitch this loop.
bool LUAnalysisCache::countLoop(const Loop *L, const TargetTransformInfo &TTI,
AssumptionCache *AC) {
LoopPropsMapIt PropsIt;
bool Inserted;
std::tie(PropsIt, Inserted) =
LoopsProperties.insert(std::make_pair(L, LoopProperties()));
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LoopProperties &Props = PropsIt->second;
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if (Inserted) {
// New loop.
// Limit the number of instructions to avoid causing significant code
// expansion, and the number of basic blocks, to avoid loops with
// large numbers of branches which cause loop unswitching to go crazy.
// This is a very ad-hoc heuristic.
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SmallPtrSet<const Value *, 32> EphValues;
CodeMetrics::collectEphemeralValues(L, AC, EphValues);
// FIXME: This is overly conservative because it does not take into
// consideration code simplification opportunities and code that can
// be shared by the resultant unswitched loops.
CodeMetrics Metrics;
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
for (Loop::block_iterator I = L->block_begin(), E = L->block_end(); I != E;
++I)
Metrics.analyzeBasicBlock(*I, TTI, EphValues);
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
Props.SizeEstimation = Metrics.NumInsts;
Props.CanBeUnswitchedCount = MaxSize / (Props.SizeEstimation);
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
Props.WasUnswitchedCount = 0;
MaxSize -= Props.SizeEstimation * Props.CanBeUnswitchedCount;
if (Metrics.notDuplicatable) {
LLVM_DEBUG(dbgs() << "NOT unswitching loop %" << L->getHeader()->getName()
<< ", contents cannot be "
<< "duplicated!\n");
return false;
}
2012-04-10 13:14:37 +08:00
}
// Be careful. This links are good only before new loop addition.
CurrentLoopProperties = &Props;
CurLoopInstructions = &Props.UnswitchedVals;
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return true;
}
// Clean all data related to given loop.
void LUAnalysisCache::forgetLoop(const Loop *L) {
LoopPropsMapIt LIt = LoopsProperties.find(L);
if (LIt != LoopsProperties.end()) {
LoopProperties &Props = LIt->second;
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
MaxSize += (Props.CanBeUnswitchedCount + Props.WasUnswitchedCount) *
Props.SizeEstimation;
LoopsProperties.erase(LIt);
}
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CurrentLoopProperties = nullptr;
CurLoopInstructions = nullptr;
}
// Mark case value as unswitched.
// Since SI instruction can be partly unswitched, in order to avoid
// extra unswitching in cloned loops keep track all unswitched values.
void LUAnalysisCache::setUnswitched(const SwitchInst *SI, const Value *V) {
(*CurLoopInstructions)[SI].insert(V);
}
// Check was this case value unswitched before or not.
bool LUAnalysisCache::isUnswitched(const SwitchInst *SI, const Value *V) {
2012-04-10 13:14:37 +08:00
return (*CurLoopInstructions)[SI].count(V);
}
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
bool LUAnalysisCache::CostAllowsUnswitching() {
return CurrentLoopProperties->CanBeUnswitchedCount > 0;
}
// Clone all loop-unswitch related loop properties.
// Redistribute unswitching quotas.
// Note, that new loop data is stored inside the VMap.
void LUAnalysisCache::cloneData(const Loop *NewLoop, const Loop *OldLoop,
const ValueToValueMapTy &VMap) {
LoopProperties &NewLoopProps = LoopsProperties[NewLoop];
LoopProperties &OldLoopProps = *CurrentLoopProperties;
UnswitchedValsMap &Insts = OldLoopProps.UnswitchedVals;
2012-04-10 13:14:37 +08:00
// Reallocate "can-be-unswitched quota"
--OldLoopProps.CanBeUnswitchedCount;
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
++OldLoopProps.WasUnswitchedCount;
NewLoopProps.WasUnswitchedCount = 0;
unsigned Quota = OldLoopProps.CanBeUnswitchedCount;
NewLoopProps.CanBeUnswitchedCount = Quota / 2;
OldLoopProps.CanBeUnswitchedCount = Quota - Quota / 2;
2012-04-10 13:14:37 +08:00
NewLoopProps.SizeEstimation = OldLoopProps.SizeEstimation;
2012-04-10 13:14:37 +08:00
// Clone unswitched values info:
// for new loop switches we clone info about values that was
// already unswitched and has redundant successors.
for (UnswitchedValsIt I = Insts.begin(); I != Insts.end(); ++I) {
const SwitchInst *OldInst = I->first;
Value *NewI = VMap.lookup(OldInst);
const SwitchInst *NewInst = cast_or_null<SwitchInst>(NewI);
assert(NewInst && "All instructions that are in SrcBB must be in VMap.");
2012-04-10 13:14:37 +08:00
NewLoopProps.UnswitchedVals[NewInst] = OldLoopProps.UnswitchedVals[OldInst];
}
}
char LoopUnswitch::ID = 0;
INITIALIZE_PASS_BEGIN(LoopUnswitch, "loop-unswitch", "Unswitch loops",
false, false)
INITIALIZE_PASS_DEPENDENCY(AssumptionCacheTracker)
[LPM] Factor all of the loop analysis usage updates into a common helper routine. We were getting this wrong in small ways and generally being very inconsistent about it across loop passes. Instead, let's have a common place where we do this. One minor downside is that this will require some analyses like SCEV in more places than they are strictly needed. However, this seems benign as these analyses are complete no-ops, and without this consistency we can in many cases end up with the legacy pass manager scheduling deciding to split up a loop pass pipeline in order to run the function analysis half-way through. It is very, very annoying to fix these without just being very pedantic across the board. The only loop passes I've not updated here are ones that use AU.setPreservesAll() such as IVUsers (an analysis) and the pass printer. They seemed less relevant. With this patch, almost all of the problems in PR24804 around loop pass pipelines are fixed. The one remaining issue is that we run simplify-cfg and instcombine in the middle of the loop pass pipeline. We've recently added some loop variants of these passes that would seem substantially cleaner to use, but this at least gets us much closer to the previous state. Notably, the seven loop pass managers is down to three. I've not updated the loop passes using LoopAccessAnalysis because that analysis hasn't been fully wired into LoopSimplify/LCSSA, and it isn't clear that those transforms want to support those forms anyways. They all run late anyways, so this is harmless. Similarly, LSR is left alone because it already carefully manages its forms and doesn't need to get fused into a single loop pass manager with a bunch of other loop passes. LoopReroll didn't use loop simplified form previously, and I've updated the test case to match the trivially different output. Finally, I've also factored all the pass initialization for the passes that use this technique as well, so that should be done regularly and reliably. Thanks to James for the help reviewing and thinking about this stuff, and Ben for help thinking about it as well! Differential Revision: http://reviews.llvm.org/D17435 llvm-svn: 261316
2016-02-19 18:45:18 +08:00
INITIALIZE_PASS_DEPENDENCY(LoopPass)
INITIALIZE_PASS_DEPENDENCY(TargetTransformInfoWrapperPass)
INITIALIZE_PASS_DEPENDENCY(LegacyDivergenceAnalysis)
INITIALIZE_PASS_DEPENDENCY(MemorySSAWrapperPass)
INITIALIZE_PASS_END(LoopUnswitch, "loop-unswitch", "Unswitch loops",
false, false)
Pass *llvm::createLoopUnswitchPass(bool Os, bool hasBranchDivergence) {
return new LoopUnswitch(Os, hasBranchDivergence);
}
/// Operator chain lattice.
enum OperatorChain {
OC_OpChainNone, ///< There is no operator.
OC_OpChainOr, ///< There are only ORs.
OC_OpChainAnd, ///< There are only ANDs.
OC_OpChainMixed ///< There are ANDs and ORs.
};
/// Cond is a condition that occurs in L. If it is invariant in the loop, or has
/// an invariant piece, return the invariant. Otherwise, return null.
//
/// NOTE: FindLIVLoopCondition will not return a partial LIV by walking up a
/// mixed operator chain, as we can not reliably find a value which will simplify
/// the operator chain. If the chain is AND-only or OR-only, we can use 0 or ~0
/// to simplify the chain.
///
/// NOTE: In case a partial LIV and a mixed operator chain, we may be able to
/// simplify the condition itself to a loop variant condition, but at the
/// cost of creating an entirely new loop.
static Value *FindLIVLoopCondition(Value *Cond, Loop *L, bool &Changed,
OperatorChain &ParentChain,
DenseMap<Value *, Value *> &Cache) {
auto CacheIt = Cache.find(Cond);
if (CacheIt != Cache.end())
return CacheIt->second;
2012-04-10 13:14:37 +08:00
// We started analyze new instruction, increment scanned instructions counter.
++TotalInsts;
2012-04-10 13:14:37 +08:00
// We can never unswitch on vector conditions.
if (Cond->getType()->isVectorTy())
return nullptr;
// Constants should be folded, not unswitched on!
if (isa<Constant>(Cond)) return nullptr;
// TODO: Handle: br (VARIANT|INVARIANT).
// Hoist simple values out.
if (L->makeLoopInvariant(Cond, Changed)) {
Cache[Cond] = Cond;
return Cond;
}
// Walk up the operator chain to find partial invariant conditions.
if (BinaryOperator *BO = dyn_cast<BinaryOperator>(Cond))
if (BO->getOpcode() == Instruction::And ||
BO->getOpcode() == Instruction::Or) {
// Given the previous operator, compute the current operator chain status.
OperatorChain NewChain;
switch (ParentChain) {
case OC_OpChainNone:
NewChain = BO->getOpcode() == Instruction::And ? OC_OpChainAnd :
OC_OpChainOr;
break;
case OC_OpChainOr:
NewChain = BO->getOpcode() == Instruction::Or ? OC_OpChainOr :
OC_OpChainMixed;
break;
case OC_OpChainAnd:
NewChain = BO->getOpcode() == Instruction::And ? OC_OpChainAnd :
OC_OpChainMixed;
break;
case OC_OpChainMixed:
NewChain = OC_OpChainMixed;
break;
}
// If we reach a Mixed state, we do not want to keep walking up as we can not
// reliably find a value that will simplify the chain. With this check, we
// will return null on the first sight of mixed chain and the caller will
// either backtrack to find partial LIV in other operand or return null.
if (NewChain != OC_OpChainMixed) {
// Update the current operator chain type before we search up the chain.
ParentChain = NewChain;
// If either the left or right side is invariant, we can unswitch on this,
// which will cause the branch to go away in one loop and the condition to
// simplify in the other one.
if (Value *LHS = FindLIVLoopCondition(BO->getOperand(0), L, Changed,
ParentChain, Cache)) {
Cache[Cond] = LHS;
return LHS;
}
// We did not manage to find a partial LIV in operand(0). Backtrack and try
// operand(1).
ParentChain = NewChain;
if (Value *RHS = FindLIVLoopCondition(BO->getOperand(1), L, Changed,
ParentChain, Cache)) {
Cache[Cond] = RHS;
return RHS;
}
}
}
2012-04-10 13:14:37 +08:00
Cache[Cond] = nullptr;
return nullptr;
}
/// Cond is a condition that occurs in L. If it is invariant in the loop, or has
/// an invariant piece, return the invariant along with the operator chain type.
/// Otherwise, return null.
static std::pair<Value *, OperatorChain> FindLIVLoopCondition(Value *Cond,
Loop *L,
bool &Changed) {
DenseMap<Value *, Value *> Cache;
OperatorChain OpChain = OC_OpChainNone;
Value *FCond = FindLIVLoopCondition(Cond, L, Changed, OpChain, Cache);
// In case we do find a LIV, it can not be obtained by walking up a mixed
// operator chain.
assert((!FCond || OpChain != OC_OpChainMixed) &&
"Do not expect a partial LIV with mixed operator chain");
return {FCond, OpChain};
}
bool LoopUnswitch::runOnLoop(Loop *L, LPPassManager &LPM_Ref) {
if (skipLoop(L))
return false;
AC = &getAnalysis<AssumptionCacheTracker>().getAssumptionCache(
*L->getHeader()->getParent());
LI = &getAnalysis<LoopInfoWrapperPass>().getLoopInfo();
LPM = &LPM_Ref;
DT = &getAnalysis<DominatorTreeWrapperPass>().getDomTree();
if (EnableMSSALoopDependency) {
MSSA = &getAnalysis<MemorySSAWrapperPass>().getMSSA();
MSSAU = make_unique<MemorySSAUpdater>(MSSA);
assert(DT && "Cannot update MemorySSA without a valid DomTree.");
}
currentLoop = L;
Function *F = currentLoop->getHeader()->getParent();
SanitizeMemory = F->hasFnAttribute(Attribute::SanitizeMemory);
if (SanitizeMemory)
SafetyInfo.computeLoopSafetyInfo(L);
if (MSSA && VerifyMemorySSA)
MSSA->verifyMemorySSA();
bool Changed = false;
do {
assert(currentLoop->isLCSSAForm(*DT));
if (MSSA && VerifyMemorySSA)
MSSA->verifyMemorySSA();
redoLoop = false;
Changed |= processCurrentLoop();
} while(redoLoop);
if (MSSA && VerifyMemorySSA)
MSSA->verifyMemorySSA();
return Changed;
}
// Return true if the BasicBlock BB is unreachable from the loop header.
// Return false, otherwise.
bool LoopUnswitch::isUnreachableDueToPreviousUnswitching(BasicBlock *BB) {
auto *Node = DT->getNode(BB)->getIDom();
BasicBlock *DomBB = Node->getBlock();
while (currentLoop->contains(DomBB)) {
BranchInst *BInst = dyn_cast<BranchInst>(DomBB->getTerminator());
Node = DT->getNode(DomBB)->getIDom();
DomBB = Node->getBlock();
if (!BInst || !BInst->isConditional())
continue;
Value *Cond = BInst->getCondition();
if (!isa<ConstantInt>(Cond))
continue;
BasicBlock *UnreachableSucc =
Cond == ConstantInt::getTrue(Cond->getContext())
? BInst->getSuccessor(1)
: BInst->getSuccessor(0);
if (DT->dominates(UnreachableSucc, BB))
return true;
}
return false;
}
/// FIXME: Remove this workaround when freeze related patches are done.
/// LoopUnswitch and Equality propagation in GVN have discrepancy about
/// whether branch on undef/poison has undefine behavior. Here it is to
/// rule out some common cases that we found such discrepancy already
/// causing problems. Detail could be found in PR31652. Note if the
/// func returns true, it is unsafe. But if it is false, it doesn't mean
/// it is necessarily safe.
static bool EqualityPropUnSafe(Value &LoopCond) {
ICmpInst *CI = dyn_cast<ICmpInst>(&LoopCond);
if (!CI || !CI->isEquality())
return false;
Value *LHS = CI->getOperand(0);
Value *RHS = CI->getOperand(1);
if (isa<UndefValue>(LHS) || isa<UndefValue>(RHS))
return true;
auto hasUndefInPHI = [](PHINode &PN) {
for (Value *Opd : PN.incoming_values()) {
if (isa<UndefValue>(Opd))
return true;
}
return false;
};
PHINode *LPHI = dyn_cast<PHINode>(LHS);
PHINode *RPHI = dyn_cast<PHINode>(RHS);
if ((LPHI && hasUndefInPHI(*LPHI)) || (RPHI && hasUndefInPHI(*RPHI)))
return true;
auto hasUndefInSelect = [](SelectInst &SI) {
if (isa<UndefValue>(SI.getTrueValue()) ||
isa<UndefValue>(SI.getFalseValue()))
return true;
return false;
};
SelectInst *LSI = dyn_cast<SelectInst>(LHS);
SelectInst *RSI = dyn_cast<SelectInst>(RHS);
if ((LSI && hasUndefInSelect(*LSI)) || (RSI && hasUndefInSelect(*RSI)))
return true;
return false;
}
/// Do actual work and unswitch loop if possible and profitable.
bool LoopUnswitch::processCurrentLoop() {
bool Changed = false;
initLoopData();
2012-04-10 13:14:37 +08:00
// If LoopSimplify was unable to form a preheader, don't do any unswitching.
if (!loopPreheader)
return false;
2012-04-10 13:14:37 +08:00
// Loops with indirectbr cannot be cloned.
if (!currentLoop->isSafeToClone())
return false;
// Without dedicated exits, splitting the exit edge may fail.
if (!currentLoop->hasDedicatedExits())
return false;
LLVMContext &Context = loopHeader->getContext();
2012-04-10 13:14:37 +08:00
// Analyze loop cost, and stop unswitching if loop content can not be duplicated.
[PM] Change the core design of the TTI analysis to use a polymorphic type erased interface and a single analysis pass rather than an extremely complex analysis group. The end result is that the TTI analysis can contain a type erased implementation that supports the polymorphic TTI interface. We can build one from a target-specific implementation or from a dummy one in the IR. I've also factored all of the code into "mix-in"-able base classes, including CRTP base classes to facilitate calling back up to the most specialized form when delegating horizontally across the surface. These aren't as clean as I would like and I'm planning to work on cleaning some of this up, but I wanted to start by putting into the right form. There are a number of reasons for this change, and this particular design. The first and foremost reason is that an analysis group is complete overkill, and the chaining delegation strategy was so opaque, confusing, and high overhead that TTI was suffering greatly for it. Several of the TTI functions had failed to be implemented in all places because of the chaining-based delegation making there be no checking of this. A few other functions were implemented with incorrect delegation. The message to me was very clear working on this -- the delegation and analysis group structure was too confusing to be useful here. The other reason of course is that this is *much* more natural fit for the new pass manager. This will lay the ground work for a type-erased per-function info object that can look up the correct subtarget and even cache it. Yet another benefit is that this will significantly simplify the interaction of the pass managers and the TargetMachine. See the future work below. The downside of this change is that it is very, very verbose. I'm going to work to improve that, but it is somewhat an implementation necessity in C++ to do type erasure. =/ I discussed this design really extensively with Eric and Hal prior to going down this path, and afterward showed them the result. No one was really thrilled with it, but there doesn't seem to be a substantially better alternative. Using a base class and virtual method dispatch would make the code much shorter, but as discussed in the update to the programmer's manual and elsewhere, a polymorphic interface feels like the more principled approach even if this is perhaps the least compelling example of it. ;] Ultimately, there is still a lot more to be done here, but this was the huge chunk that I couldn't really split things out of because this was the interface change to TTI. I've tried to minimize all the other parts of this. The follow up work should include at least: 1) Improving the TargetMachine interface by having it directly return a TTI object. Because we have a non-pass object with value semantics and an internal type erasure mechanism, we can narrow the interface of the TargetMachine to *just* do what we need: build and return a TTI object that we can then insert into the pass pipeline. 2) Make the TTI object be fully specialized for a particular function. This will include splitting off a minimal form of it which is sufficient for the inliner and the old pass manager. 3) Add a new pass manager analysis which produces TTI objects from the target machine for each function. This may actually be done as part of #2 in order to use the new analysis to implement #2. 4) Work on narrowing the API between TTI and the targets so that it is easier to understand and less verbose to type erase. 5) Work on narrowing the API between TTI and its clients so that it is easier to understand and less verbose to forward. 6) Try to improve the CRTP-based delegation. I feel like this code is just a bit messy and exacerbating the complexity of implementing the TTI in each target. Many thanks to Eric and Hal for their help here. I ended up blocked on this somewhat more abruptly than I expected, and so I appreciate getting it sorted out very quickly. Differential Revision: http://reviews.llvm.org/D7293 llvm-svn: 227669
2015-01-31 11:43:40 +08:00
if (!BranchesInfo.countLoop(
currentLoop, getAnalysis<TargetTransformInfoWrapperPass>().getTTI(
*currentLoop->getHeader()->getParent()),
AC))
return false;
// Try trivial unswitch first before loop over other basic blocks in the loop.
if (TryTrivialLoopUnswitch(Changed)) {
return true;
}
// Do not do non-trivial unswitch while optimizing for size.
// FIXME: Use Function::hasOptSize().
if (OptimizeForSize ||
loopHeader->getParent()->hasFnAttribute(Attribute::OptimizeForSize))
return false;
// Run through the instructions in the loop, keeping track of three things:
//
// - That we do not unswitch loops containing convergent operations, as we
// might be making them control dependent on the unswitch value when they
// were not before.
// FIXME: This could be refined to only bail if the convergent operation is
// not already control-dependent on the unswitch value.
//
// - That basic blocks in the loop contain invokes whose predecessor edges we
// cannot split.
//
// - The set of guard intrinsics encountered (these are non terminator
// instructions that are also profitable to be unswitched).
SmallVector<IntrinsicInst *, 4> Guards;
for (const auto BB : currentLoop->blocks()) {
for (auto &I : *BB) {
auto CS = CallSite(&I);
if (!CS) continue;
if (CS.hasFnAttr(Attribute::Convergent))
return false;
if (auto *II = dyn_cast<InvokeInst>(&I))
if (!II->getUnwindDest()->canSplitPredecessors())
return false;
if (auto *II = dyn_cast<IntrinsicInst>(&I))
if (II->getIntrinsicID() == Intrinsic::experimental_guard)
Guards.push_back(II);
}
}
for (IntrinsicInst *Guard : Guards) {
Value *LoopCond =
FindLIVLoopCondition(Guard->getOperand(0), currentLoop, Changed).first;
if (LoopCond &&
UnswitchIfProfitable(LoopCond, ConstantInt::getTrue(Context))) {
// NB! Unswitching (if successful) could have erased some of the
// instructions in Guards leaving dangling pointers there. This is fine
// because we're returning now, and won't look at Guards again.
++NumGuards;
return true;
}
}
// Loop over all of the basic blocks in the loop. If we find an interior
// block that is branching on a loop-invariant condition, we can unswitch this
// loop.
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for (Loop::block_iterator I = currentLoop->block_begin(),
E = currentLoop->block_end(); I != E; ++I) {
Instruction *TI = (*I)->getTerminator();
// Unswitching on a potentially uninitialized predicate is not
// MSan-friendly. Limit this to the cases when the original predicate is
// guaranteed to execute, to avoid creating a use-of-uninitialized-value
// in the code that did not have one.
// This is a workaround for the discrepancy between LLVM IR and MSan
// semantics. See PR28054 for more details.
if (SanitizeMemory &&
!SafetyInfo.isGuaranteedToExecute(*TI, DT, currentLoop))
continue;
if (BranchInst *BI = dyn_cast<BranchInst>(TI)) {
// Some branches may be rendered unreachable because of previous
// unswitching.
// Unswitch only those branches that are reachable.
if (isUnreachableDueToPreviousUnswitching(*I))
continue;
// If this isn't branching on an invariant condition, we can't unswitch
// it.
if (BI->isConditional()) {
// See if this, or some part of it, is loop invariant. If so, we can
// unswitch on it if we desire.
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Value *LoopCond = FindLIVLoopCondition(BI->getCondition(),
currentLoop, Changed).first;
if (LoopCond && !EqualityPropUnSafe(*LoopCond) &&
UnswitchIfProfitable(LoopCond, ConstantInt::getTrue(Context), TI)) {
++NumBranches;
return true;
}
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}
} else if (SwitchInst *SI = dyn_cast<SwitchInst>(TI)) {
Value *SC = SI->getCondition();
Value *LoopCond;
OperatorChain OpChain;
std::tie(LoopCond, OpChain) =
FindLIVLoopCondition(SC, currentLoop, Changed);
2012-04-10 13:14:37 +08:00
unsigned NumCases = SI->getNumCases();
SwitchInst refactoring. The purpose of refactoring is to hide operand roles from SwitchInst user (programmer). If you want to play with operands directly, probably you will need lower level methods than SwitchInst ones (TerminatorInst or may be User). After this patch we can reorganize SwitchInst operands and successors as we want. What was done: 1. Changed semantics of index inside the getCaseValue method: getCaseValue(0) means "get first case", not a condition. Use getCondition() if you want to resolve the condition. I propose don't mix SwitchInst case indexing with low level indexing (TI successors indexing, User's operands indexing), since it may be dangerous. 2. By the same reason findCaseValue(ConstantInt*) returns actual number of case value. 0 means first case, not default. If there is no case with given value, ErrorIndex will returned. 3. Added getCaseSuccessor method. I propose to avoid usage of TerminatorInst::getSuccessor if you want to resolve case successor BB. Use getCaseSuccessor instead, since internal SwitchInst organization of operands/successors is hidden and may be changed in any moment. 4. Added resolveSuccessorIndex and resolveCaseIndex. The main purpose of these methods is to see how case successors are really mapped in TerminatorInst. 4.1 "resolveSuccessorIndex" was created if you need to level down from SwitchInst to TerminatorInst. It returns TerminatorInst's successor index for given case successor. 4.2 "resolveCaseIndex" converts low level successors index to case index that curresponds to the given successor. Note: There are also related compatability fix patches for dragonegg, klee, llvm-gcc-4.0, llvm-gcc-4.2, safecode, clang. llvm-svn: 149481
2012-02-01 15:49:51 +08:00
if (LoopCond && NumCases) {
// Find a value to unswitch on:
// FIXME: this should chose the most expensive case!
// FIXME: scan for a case with a non-critical edge?
Constant *UnswitchVal = nullptr;
// Find a case value such that at least one case value is unswitched
// out.
if (OpChain == OC_OpChainAnd) {
// If the chain only has ANDs and the switch has a case value of 0.
// Dropping in a 0 to the chain will unswitch out the 0-casevalue.
auto *AllZero = cast<ConstantInt>(Constant::getNullValue(SC->getType()));
if (BranchesInfo.isUnswitched(SI, AllZero))
continue;
// We are unswitching 0 out.
UnswitchVal = AllZero;
} else if (OpChain == OC_OpChainOr) {
// If the chain only has ORs and the switch has a case value of ~0.
// Dropping in a ~0 to the chain will unswitch out the ~0-casevalue.
auto *AllOne = cast<ConstantInt>(Constant::getAllOnesValue(SC->getType()));
if (BranchesInfo.isUnswitched(SI, AllOne))
continue;
// We are unswitching ~0 out.
UnswitchVal = AllOne;
} else {
assert(OpChain == OC_OpChainNone &&
"Expect to unswitch on trivial chain");
// Do not process same value again and again.
// At this point we have some cases already unswitched and
// some not yet unswitched. Let's find the first not yet unswitched one.
for (auto Case : SI->cases()) {
Constant *UnswitchValCandidate = Case.getCaseValue();
if (!BranchesInfo.isUnswitched(SI, UnswitchValCandidate)) {
UnswitchVal = UnswitchValCandidate;
break;
}
}
}
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if (!UnswitchVal)
continue;
if (UnswitchIfProfitable(LoopCond, UnswitchVal)) {
++NumSwitches;
// In case of a full LIV, UnswitchVal is the value we unswitched out.
// In case of a partial LIV, we only unswitch when its an AND-chain
// or OR-chain. In both cases switch input value simplifies to
// UnswitchVal.
BranchesInfo.setUnswitched(SI, UnswitchVal);
return true;
}
}
}
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// Scan the instructions to check for unswitchable values.
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for (BasicBlock::iterator BBI = (*I)->begin(), E = (*I)->end();
BBI != E; ++BBI)
if (SelectInst *SI = dyn_cast<SelectInst>(BBI)) {
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Value *LoopCond = FindLIVLoopCondition(SI->getCondition(),
currentLoop, Changed).first;
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if (LoopCond && UnswitchIfProfitable(LoopCond,
ConstantInt::getTrue(Context))) {
++NumSelects;
return true;
}
}
}
return Changed;
}
/// Check to see if all paths from BB exit the loop with no side effects
/// (including infinite loops).
///
/// If true, we return true and set ExitBB to the block we
/// exit through.
///
static bool isTrivialLoopExitBlockHelper(Loop *L, BasicBlock *BB,
BasicBlock *&ExitBB,
std::set<BasicBlock*> &Visited) {
if (!Visited.insert(BB).second) {
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// Already visited. Without more analysis, this could indicate an infinite
// loop.
return false;
}
if (!L->contains(BB)) {
// Otherwise, this is a loop exit, this is fine so long as this is the
// first exit.
if (ExitBB) return false;
ExitBB = BB;
return true;
}
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// Otherwise, this is an unvisited intra-loop node. Check all successors.
for (succ_iterator SI = succ_begin(BB), E = succ_end(BB); SI != E; ++SI) {
// Check to see if the successor is a trivial loop exit.
if (!isTrivialLoopExitBlockHelper(L, *SI, ExitBB, Visited))
return false;
}
// Okay, everything after this looks good, check to make sure that this block
// doesn't include any side effects.
for (Instruction &I : *BB)
if (I.mayHaveSideEffects())
return false;
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return true;
}
/// Return true if the specified block unconditionally leads to an exit from
/// the specified loop, and has no side-effects in the process. If so, return
/// the block that is exited to, otherwise return null.
static BasicBlock *isTrivialLoopExitBlock(Loop *L, BasicBlock *BB) {
std::set<BasicBlock*> Visited;
Visited.insert(L->getHeader()); // Branches to header make infinite loops.
BasicBlock *ExitBB = nullptr;
if (isTrivialLoopExitBlockHelper(L, BB, ExitBB, Visited))
return ExitBB;
return nullptr;
}
/// We have found that we can unswitch currentLoop when LoopCond == Val to
/// simplify the loop. If we decide that this is profitable,
/// unswitch the loop, reprocess the pieces, then return true.
bool LoopUnswitch::UnswitchIfProfitable(Value *LoopCond, Constant *Val,
Instruction *TI) {
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// Check to see if it would be profitable to unswitch current loop.
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
if (!BranchesInfo.CostAllowsUnswitching()) {
LLVM_DEBUG(dbgs() << "NOT unswitching loop %"
<< currentLoop->getHeader()->getName()
<< " at non-trivial condition '" << *Val
<< "' == " << *LoopCond << "\n"
<< ". Cost too high.\n");
This change fixes three bugs in loop unswitching. This change causes an 81% speed-up on a benchmark that is based on EigenConvolutionKernel2D from Eigen3, where the lack of loop unswitching blocks hoisting of loads out of a nested loop (see bug 23816 for how loop unswitching and load hoisting are related). Change 1: Unswitching on trivial conditions should always happen regardless of the computed unswitching cost, as really the cost is zero. While there is code to make that happen, the logic that checks the unswitching cost against a threshold was moved to an earlier point (revision 147935) than the point where trivial unswitching is detected, so trivial unswitching is currently blocked by the cost threshold. This change fixes that. Change 2: Before revision 147935 (from 2012-01-11), the threshold parameter was a per-loop threshold. So an unswitching happened only if the cost of the unswitching was less than the threshold. In an indirect way (and I believe unintentionally), the logic for this since then has been that the threshold is an over-all budget across all loops for all loop unswitching done by a given LoopUnswitch loop pass object. So if an unswitching with cost 100 happens in one function, that in effect reduces the threshold from 100 to 0 for the loops even in another function. This persists for the lifetime of that loop pass object. This makes no difference for most small examples but it is important for large examples. This revision fixes that. Change 3: The cost is currently calculated as std::min(NumInstructions, 5 * NumBlocks). So a loop with 2 blocks and a million instructions will have an unswitching cost of 10. I changed this to just NumInstructions, as it were before revision 147935, though I'm open to e.g. instead replacing std::min with std::max. I've tried to make the change minimally invasive while staying with what I think was the original intent of the code. Submitted on behalf of broune@. llvm-svn: 240438
2015-06-24 02:26:50 +08:00
return false;
}
if (hasBranchDivergence &&
getAnalysis<LegacyDivergenceAnalysis>().isDivergent(LoopCond)) {
LLVM_DEBUG(dbgs() << "NOT unswitching loop %"
<< currentLoop->getHeader()->getName()
<< " at non-trivial condition '" << *Val
<< "' == " << *LoopCond << "\n"
<< ". Condition is divergent.\n");
return false;
}
UnswitchNontrivialCondition(LoopCond, Val, currentLoop, TI);
return true;
}
/// Recursively clone the specified loop and all of its children,
/// mapping the blocks with the specified map.
static Loop *CloneLoop(Loop *L, Loop *PL, ValueToValueMapTy &VM,
LoopInfo *LI, LPPassManager *LPM) {
Loop &New = *LI->AllocateLoop();
if (PL)
PL->addChildLoop(&New);
else
LI->addTopLevelLoop(&New);
LPM->addLoop(New);
// Add all of the blocks in L to the new loop.
for (Loop::block_iterator I = L->block_begin(), E = L->block_end();
I != E; ++I)
if (LI->getLoopFor(*I) == L)
New.addBasicBlockToLoop(cast<BasicBlock>(VM[*I]), *LI);
// Add all of the subloops to the new loop.
for (Loop *I : *L)
CloneLoop(I, &New, VM, LI, LPM);
return &New;
}
/// Emit a conditional branch on two values if LIC == Val, branch to TrueDst,
/// otherwise branch to FalseDest. Insert the code immediately before OldBranch
/// and remove (but not erase!) it from the function.
void LoopUnswitch::EmitPreheaderBranchOnCondition(Value *LIC, Constant *Val,
BasicBlock *TrueDest,
BasicBlock *FalseDest,
BranchInst *OldBranch,
Instruction *TI) {
assert(OldBranch->isUnconditional() && "Preheader is not split correctly");
assert(TrueDest != FalseDest && "Branch targets should be different");
// Insert a conditional branch on LIC to the two preheaders. The original
// code is the true version and the new code is the false version.
Value *BranchVal = LIC;
bool Swapped = false;
if (!isa<ConstantInt>(Val) ||
Val->getType() != Type::getInt1Ty(LIC->getContext()))
BranchVal = new ICmpInst(OldBranch, ICmpInst::ICMP_EQ, LIC, Val);
else if (Val != ConstantInt::getTrue(Val->getContext())) {
// We want to enter the new loop when the condition is true.
std::swap(TrueDest, FalseDest);
Swapped = true;
}
// Old branch will be removed, so save its parent and successor to update the
// DomTree.
auto *OldBranchSucc = OldBranch->getSuccessor(0);
auto *OldBranchParent = OldBranch->getParent();
// Insert the new branch.
BranchInst *BI =
IRBuilder<>(OldBranch).CreateCondBr(BranchVal, TrueDest, FalseDest, TI);
if (Swapped)
BI->swapProfMetadata();
// Remove the old branch so there is only one branch at the end. This is
// needed to perform DomTree's internal DFS walk on the function's CFG.
OldBranch->removeFromParent();
// Inform the DT about the new branch.
if (DT) {
// First, add both successors.
SmallVector<DominatorTree::UpdateType, 3> Updates;
if (TrueDest != OldBranchSucc)
Updates.push_back({DominatorTree::Insert, OldBranchParent, TrueDest});
if (FalseDest != OldBranchSucc)
Updates.push_back({DominatorTree::Insert, OldBranchParent, FalseDest});
// If both of the new successors are different from the old one, inform the
// DT that the edge was deleted.
if (OldBranchSucc != TrueDest && OldBranchSucc != FalseDest) {
Updates.push_back({DominatorTree::Delete, OldBranchParent, OldBranchSucc});
}
DT->applyUpdates(Updates);
if (MSSAU)
MSSAU->applyUpdates(Updates, *DT);
}
// If either edge is critical, split it. This helps preserve LoopSimplify
// form for enclosing loops.
auto Options =
CriticalEdgeSplittingOptions(DT, LI, MSSAU.get()).setPreserveLCSSA();
SplitCriticalEdge(BI, 0, Options);
SplitCriticalEdge(BI, 1, Options);
}
/// Given a loop that has a trivial unswitchable condition in it (a cond branch
/// from its header block to its latch block, where the path through the loop
/// that doesn't execute its body has no side-effects), unswitch it. This
/// doesn't involve any code duplication, just moving the conditional branch
/// outside of the loop and updating loop info.
void LoopUnswitch::UnswitchTrivialCondition(Loop *L, Value *Cond, Constant *Val,
BasicBlock *ExitBlock,
Instruction *TI) {
LLVM_DEBUG(dbgs() << "loop-unswitch: Trivial-Unswitch loop %"
<< loopHeader->getName() << " [" << L->getBlocks().size()
<< " blocks] in Function "
<< L->getHeader()->getParent()->getName()
<< " on cond: " << *Val << " == " << *Cond << "\n");
// We are going to make essential changes to CFG. This may invalidate cached
// information for L or one of its parent loops in SCEV.
if (auto *SEWP = getAnalysisIfAvailable<ScalarEvolutionWrapperPass>())
SEWP->getSE().forgetTopmostLoop(L);
2012-04-10 13:14:37 +08:00
// First step, split the preheader, so that we know that there is a safe place
// to insert the conditional branch. We will change loopPreheader to have a
// conditional branch on Cond.
BasicBlock *NewPH = SplitEdge(loopPreheader, loopHeader, DT, LI, MSSAU.get());
// Now that we have a place to insert the conditional branch, create a place
// to branch to: this is the exit block out of the loop that we should
// short-circuit to.
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// Split this block now, so that the loop maintains its exit block, and so
// that the jump from the preheader can execute the contents of the exit block
// without actually branching to it (the exit block should be dominated by the
// loop header, not the preheader).
assert(!L->contains(ExitBlock) && "Exit block is in the loop?");
BasicBlock *NewExit =
SplitBlock(ExitBlock, &ExitBlock->front(), DT, LI, MSSAU.get());
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// Okay, now we have a position to branch from and a position to branch to,
// insert the new conditional branch.
auto *OldBranch = dyn_cast<BranchInst>(loopPreheader->getTerminator());
assert(OldBranch && "Failed to split the preheader");
EmitPreheaderBranchOnCondition(Cond, Val, NewExit, NewPH, OldBranch, TI);
LPM->deleteSimpleAnalysisValue(OldBranch, L);
// EmitPreheaderBranchOnCondition removed the OldBranch from the function.
// Delete it, as it is no longer needed.
delete OldBranch;
// We need to reprocess this loop, it could be unswitched again.
redoLoop = true;
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// Now that we know that the loop is never entered when this condition is a
// particular value, rewrite the loop with this info. We know that this will
// at least eliminate the old branch.
RewriteLoopBodyWithConditionConstant(L, Cond, Val, false);
++NumTrivial;
}
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/// Check if the first non-constant condition starting from the loop header is
/// a trivial unswitch condition: that is, a condition controls whether or not
/// the loop does anything at all. If it is a trivial condition, unswitching
/// produces no code duplications (equivalently, it produces a simpler loop and
/// a new empty loop, which gets deleted). Therefore always unswitch trivial
/// condition.
bool LoopUnswitch::TryTrivialLoopUnswitch(bool &Changed) {
BasicBlock *CurrentBB = currentLoop->getHeader();
Instruction *CurrentTerm = CurrentBB->getTerminator();
LLVMContext &Context = CurrentBB->getContext();
// If loop header has only one reachable successor (currently via an
// unconditional branch or constant foldable conditional branch, but
// should also consider adding constant foldable switch instruction in
// future), we should keep looking for trivial condition candidates in
// the successor as well. An alternative is to constant fold conditions
// and merge successors into loop header (then we only need to check header's
// terminator). The reason for not doing this in LoopUnswitch pass is that
// it could potentially break LoopPassManager's invariants. Folding dead
// branches could either eliminate the current loop or make other loops
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// unreachable. LCSSA form might also not be preserved after deleting
// branches. The following code keeps traversing loop header's successors
// until it finds the trivial condition candidate (condition that is not a
// constant). Since unswitching generates branches with constant conditions,
// this scenario could be very common in practice.
SmallPtrSet<BasicBlock*, 8> Visited;
while (true) {
// If we exit loop or reach a previous visited block, then
// we can not reach any trivial condition candidates (unfoldable
// branch instructions or switch instructions) and no unswitch
// can happen. Exit and return false.
if (!currentLoop->contains(CurrentBB) || !Visited.insert(CurrentBB).second)
return false;
// Check if this loop will execute any side-effecting instructions (e.g.
// stores, calls, volatile loads) in the part of the loop that the code
// *would* execute. Check the header first.
for (Instruction &I : *CurrentBB)
if (I.mayHaveSideEffects())
return false;
if (BranchInst *BI = dyn_cast<BranchInst>(CurrentTerm)) {
if (BI->isUnconditional()) {
CurrentBB = BI->getSuccessor(0);
} else if (BI->getCondition() == ConstantInt::getTrue(Context)) {
CurrentBB = BI->getSuccessor(0);
} else if (BI->getCondition() == ConstantInt::getFalse(Context)) {
CurrentBB = BI->getSuccessor(1);
} else {
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// Found a trivial condition candidate: non-foldable conditional branch.
break;
}
} else if (SwitchInst *SI = dyn_cast<SwitchInst>(CurrentTerm)) {
// At this point, any constant-foldable instructions should have probably
// been folded.
ConstantInt *Cond = dyn_cast<ConstantInt>(SI->getCondition());
if (!Cond)
break;
// Find the target block we are definitely going to.
CurrentBB = SI->findCaseValue(Cond)->getCaseSuccessor();
} else {
// We do not understand these terminator instructions.
break;
}
CurrentTerm = CurrentBB->getTerminator();
}
// CondVal is the condition that controls the trivial condition.
// LoopExitBB is the BasicBlock that loop exits when meets trivial condition.
Constant *CondVal = nullptr;
BasicBlock *LoopExitBB = nullptr;
if (BranchInst *BI = dyn_cast<BranchInst>(CurrentTerm)) {
// If this isn't branching on an invariant condition, we can't unswitch it.
if (!BI->isConditional())
return false;
Value *LoopCond = FindLIVLoopCondition(BI->getCondition(),
currentLoop, Changed).first;
// Unswitch only if the trivial condition itself is an LIV (not
// partial LIV which could occur in and/or)
if (!LoopCond || LoopCond != BI->getCondition())
return false;
// Check to see if a successor of the branch is guaranteed to
// exit through a unique exit block without having any
// side-effects. If so, determine the value of Cond that causes
// it to do this.
if ((LoopExitBB = isTrivialLoopExitBlock(currentLoop,
BI->getSuccessor(0)))) {
CondVal = ConstantInt::getTrue(Context);
} else if ((LoopExitBB = isTrivialLoopExitBlock(currentLoop,
BI->getSuccessor(1)))) {
CondVal = ConstantInt::getFalse(Context);
}
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// If we didn't find a single unique LoopExit block, or if the loop exit
// block contains phi nodes, this isn't trivial.
if (!LoopExitBB || isa<PHINode>(LoopExitBB->begin()))
return false; // Can't handle this.
if (EqualityPropUnSafe(*LoopCond))
return false;
2015-08-12 05:11:56 +08:00
UnswitchTrivialCondition(currentLoop, LoopCond, CondVal, LoopExitBB,
CurrentTerm);
++NumBranches;
return true;
} else if (SwitchInst *SI = dyn_cast<SwitchInst>(CurrentTerm)) {
// If this isn't switching on an invariant condition, we can't unswitch it.
Value *LoopCond = FindLIVLoopCondition(SI->getCondition(),
currentLoop, Changed).first;
// Unswitch only if the trivial condition itself is an LIV (not
// partial LIV which could occur in and/or)
if (!LoopCond || LoopCond != SI->getCondition())
return false;
// Check to see if a successor of the switch is guaranteed to go to the
// latch block or exit through a one exit block without having any
// side-effects. If so, determine the value of Cond that causes it to do
// this.
// Note that we can't trivially unswitch on the default case or
// on already unswitched cases.
for (auto Case : SI->cases()) {
BasicBlock *LoopExitCandidate;
if ((LoopExitCandidate =
isTrivialLoopExitBlock(currentLoop, Case.getCaseSuccessor()))) {
// Okay, we found a trivial case, remember the value that is trivial.
ConstantInt *CaseVal = Case.getCaseValue();
// Check that it was not unswitched before, since already unswitched
// trivial vals are looks trivial too.
if (BranchesInfo.isUnswitched(SI, CaseVal))
continue;
LoopExitBB = LoopExitCandidate;
CondVal = CaseVal;
break;
}
}
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// If we didn't find a single unique LoopExit block, or if the loop exit
// block contains phi nodes, this isn't trivial.
if (!LoopExitBB || isa<PHINode>(LoopExitBB->begin()))
return false; // Can't handle this.
2015-08-12 05:11:56 +08:00
UnswitchTrivialCondition(currentLoop, LoopCond, CondVal, LoopExitBB,
nullptr);
// We are only unswitching full LIV.
BranchesInfo.setUnswitched(SI, CondVal);
++NumSwitches;
return true;
}
return false;
}
/// Split all of the edges from inside the loop to their exit blocks.
/// Update the appropriate Phi nodes as we do so.
2012-04-10 13:14:37 +08:00
void LoopUnswitch::SplitExitEdges(Loop *L,
const SmallVectorImpl<BasicBlock *> &ExitBlocks){
for (unsigned i = 0, e = ExitBlocks.size(); i != e; ++i) {
BasicBlock *ExitBlock = ExitBlocks[i];
SmallVector<BasicBlock *, 4> Preds(pred_begin(ExitBlock),
pred_end(ExitBlock));
// Although SplitBlockPredecessors doesn't preserve loop-simplify in
// general, if we call it on all predecessors of all exits then it does.
SplitBlockPredecessors(ExitBlock, Preds, ".us-lcssa", DT, LI, MSSAU.get(),
/*PreserveLCSSA*/ true);
}
}
/// We determined that the loop is profitable to unswitch when LIC equal Val.
/// Split it into loop versions and test the condition outside of either loop.
/// Return the loops created as Out1/Out2.
void LoopUnswitch::UnswitchNontrivialCondition(Value *LIC, Constant *Val,
Loop *L, Instruction *TI) {
Function *F = loopHeader->getParent();
LLVM_DEBUG(dbgs() << "loop-unswitch: Unswitching loop %"
<< loopHeader->getName() << " [" << L->getBlocks().size()
<< " blocks] in Function " << F->getName() << " when '"
<< *Val << "' == " << *LIC << "\n");
// We are going to make essential changes to CFG. This may invalidate cached
// information for L or one of its parent loops in SCEV.
[PM] Port ScalarEvolution to the new pass manager. This change makes ScalarEvolution a stand-alone object and just produces one from a pass as needed. Making this work well requires making the object movable, using references instead of overwritten pointers in a number of places, and other refactorings. I've also wired it up to the new pass manager and added a RUN line to a test to exercise it under the new pass manager. This includes basic printing support much like with other analyses. But there is a big and somewhat scary change here. Prior to this patch ScalarEvolution was never *actually* invalidated!!! Re-running the pass just re-wired up the various other analyses and didn't remove any of the existing entries in the SCEV caches or clear out anything at all. This might seem OK as everything in SCEV that can uses ValueHandles to track updates to the values that serve as SCEV keys. However, this still means that as we ran SCEV over each function in the module, we kept accumulating more and more SCEVs into the cache. At the end, we would have a SCEV cache with every value that we ever needed a SCEV for in the entire module!!! Yowzers. The releaseMemory routine would dump all of this, but that isn't realy called during normal runs of the pipeline as far as I can see. To make matters worse, there *is* actually a key that we don't update with value handles -- there is a map keyed off of Loop*s. Because LoopInfo *does* release its memory from run to run, it is entirely possible to run SCEV over one function, then over another function, and then lookup a Loop* from the second function but find an entry inserted for the first function! Ouch. To make matters still worse, there are plenty of updates that *don't* trip a value handle. It seems incredibly unlikely that today GVN or another pass that invalidates SCEV can update values in *just* such a way that a subsequent run of SCEV will incorrectly find lookups in a cache, but it is theoretically possible and would be a nightmare to debug. With this refactoring, I've fixed all this by actually destroying and recreating the ScalarEvolution object from run to run. Technically, this could increase the amount of malloc traffic we see, but then again it is also technically correct. ;] I don't actually think we're suffering from tons of malloc traffic from SCEV because if we were, the fact that we never clear the memory would seem more likely to have come up as an actual problem before now. So, I've made the simple fix here. If in fact there are serious issues with too much allocation and deallocation, I can work on a clever fix that preserves the allocations (while clearing the data) between each run, but I'd prefer to do that kind of optimization with a test case / benchmark that shows why we need such cleverness (and that can test that we actually make it faster). It's possible that this will make some things faster by making the SCEV caches have higher locality (due to being significantly smaller) so until there is a clear benchmark, I think the simple change is best. Differential Revision: http://reviews.llvm.org/D12063 llvm-svn: 245193
2015-08-17 10:08:17 +08:00
if (auto *SEWP = getAnalysisIfAvailable<ScalarEvolutionWrapperPass>())
SEWP->getSE().forgetTopmostLoop(L);
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LoopBlocks.clear();
NewBlocks.clear();
// First step, split the preheader and exit blocks, and add these blocks to
// the LoopBlocks list.
BasicBlock *NewPreheader =
SplitEdge(loopPreheader, loopHeader, DT, LI, MSSAU.get());
LoopBlocks.push_back(NewPreheader);
// We want the loop to come after the preheader, but before the exit blocks.
LoopBlocks.insert(LoopBlocks.end(), L->block_begin(), L->block_end());
SmallVector<BasicBlock*, 8> ExitBlocks;
L->getUniqueExitBlocks(ExitBlocks);
// Split all of the edges from inside the loop to their exit blocks. Update
// the appropriate Phi nodes as we do so.
SplitExitEdges(L, ExitBlocks);
// The exit blocks may have been changed due to edge splitting, recompute.
ExitBlocks.clear();
L->getUniqueExitBlocks(ExitBlocks);
// Add exit blocks to the loop blocks.
LoopBlocks.insert(LoopBlocks.end(), ExitBlocks.begin(), ExitBlocks.end());
// Next step, clone all of the basic blocks that make up the loop (including
// the loop preheader and exit blocks), keeping track of the mapping between
// the instructions and blocks.
NewBlocks.reserve(LoopBlocks.size());
ValueToValueMapTy VMap;
for (unsigned i = 0, e = LoopBlocks.size(); i != e; ++i) {
BasicBlock *NewBB = CloneBasicBlock(LoopBlocks[i], VMap, ".us", F);
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2010-04-06 05:16:25 +08:00
NewBlocks.push_back(NewBB);
VMap[LoopBlocks[i]] = NewBB; // Keep the BB mapping.
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LPM->cloneBasicBlockSimpleAnalysis(LoopBlocks[i], NewBB, L);
}
// Splice the newly inserted blocks into the function right before the
// original preheader.
F->getBasicBlockList().splice(NewPreheader->getIterator(),
F->getBasicBlockList(),
NewBlocks[0]->getIterator(), F->end());
// Now we create the new Loop object for the versioned loop.
Loop *NewLoop = CloneLoop(L, L->getParentLoop(), VMap, LI, LPM);
// Recalculate unswitching quota, inherit simplified switches info for NewBB,
// Probably clone more loop-unswitch related loop properties.
BranchesInfo.cloneData(NewLoop, L, VMap);
Loop *ParentLoop = L->getParentLoop();
if (ParentLoop) {
// Make sure to add the cloned preheader and exit blocks to the parent loop
// as well.
ParentLoop->addBasicBlockToLoop(NewBlocks[0], *LI);
}
for (unsigned i = 0, e = ExitBlocks.size(); i != e; ++i) {
BasicBlock *NewExit = cast<BasicBlock>(VMap[ExitBlocks[i]]);
// The new exit block should be in the same loop as the old one.
if (Loop *ExitBBLoop = LI->getLoopFor(ExitBlocks[i]))
ExitBBLoop->addBasicBlockToLoop(NewExit, *LI);
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assert(NewExit->getTerminator()->getNumSuccessors() == 1 &&
"Exit block should have been split to have one successor!");
BasicBlock *ExitSucc = NewExit->getTerminator()->getSuccessor(0);
// If the successor of the exit block had PHI nodes, add an entry for
// NewExit.
for (PHINode &PN : ExitSucc->phis()) {
Value *V = PN.getIncomingValueForBlock(ExitBlocks[i]);
ValueToValueMapTy::iterator It = VMap.find(V);
if (It != VMap.end()) V = It->second;
PN.addIncoming(V, NewExit);
}
if (LandingPadInst *LPad = NewExit->getLandingPadInst()) {
PHINode *PN = PHINode::Create(LPad->getType(), 0, "",
&*ExitSucc->getFirstInsertionPt());
for (pred_iterator I = pred_begin(ExitSucc), E = pred_end(ExitSucc);
I != E; ++I) {
BasicBlock *BB = *I;
LandingPadInst *LPI = BB->getLandingPadInst();
LPI->replaceAllUsesWith(PN);
PN->addIncoming(LPI, BB);
}
}
}
// Rewrite the code to refer to itself.
for (unsigned i = 0, e = NewBlocks.size(); i != e; ++i) {
for (Instruction &I : *NewBlocks[i]) {
RemapInstruction(&I, VMap,
RF_NoModuleLevelChanges | RF_IgnoreMissingLocals);
if (auto *II = dyn_cast<IntrinsicInst>(&I))
if (II->getIntrinsicID() == Intrinsic::assume)
AC->registerAssumption(II);
}
}
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// Rewrite the original preheader to select between versions of the loop.
BranchInst *OldBR = cast<BranchInst>(loopPreheader->getTerminator());
assert(OldBR->isUnconditional() && OldBR->getSuccessor(0) == LoopBlocks[0] &&
"Preheader splitting did not work correctly!");
if (MSSAU) {
// Update MemorySSA after cloning, and before splitting to unreachables,
// since that invalidates the 1:1 mapping of clones in VMap.
LoopBlocksRPO LBRPO(L);
LBRPO.perform(LI);
MSSAU->updateForClonedLoop(LBRPO, ExitBlocks, VMap);
}
// Emit the new branch that selects between the two versions of this loop.
EmitPreheaderBranchOnCondition(LIC, Val, NewBlocks[0], LoopBlocks[0], OldBR,
TI);
LPM->deleteSimpleAnalysisValue(OldBR, L);
if (MSSAU) {
// Update MemoryPhis in Exit blocks.
MSSAU->updateExitBlocksForClonedLoop(ExitBlocks, VMap, *DT);
if (VerifyMemorySSA)
MSSA->verifyMemorySSA();
}
// The OldBr was replaced by a new one and removed (but not erased) by
// EmitPreheaderBranchOnCondition. It is no longer needed, so delete it.
delete OldBR;
LoopProcessWorklist.push_back(NewLoop);
redoLoop = true;
// Keep a WeakTrackingVH holding onto LIC. If the first call to
// RewriteLoopBody
// deletes the instruction (for example by simplifying a PHI that feeds into
// the condition that we're unswitching on), we don't rewrite the second
// iteration.
WeakTrackingVH LICHandle(LIC);
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// Now we rewrite the original code to know that the condition is true and the
// new code to know that the condition is false.
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RewriteLoopBodyWithConditionConstant(L, LIC, Val, false);
// It's possible that simplifying one loop could cause the other to be
// changed to another value or a constant. If its a constant, don't simplify
// it.
if (!LoopProcessWorklist.empty() && LoopProcessWorklist.back() == NewLoop &&
LICHandle && !isa<Constant>(LICHandle))
RewriteLoopBodyWithConditionConstant(NewLoop, LICHandle, Val, true);
if (MSSA && VerifyMemorySSA)
MSSA->verifyMemorySSA();
}
/// Remove all instances of I from the worklist vector specified.
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static void RemoveFromWorklist(Instruction *I,
std::vector<Instruction*> &Worklist) {
Worklist.erase(std::remove(Worklist.begin(), Worklist.end(), I),
Worklist.end());
}
/// When we find that I really equals V, remove I from the
/// program, replacing all uses with V and update the worklist.
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static void ReplaceUsesOfWith(Instruction *I, Value *V,
std::vector<Instruction *> &Worklist, Loop *L,
LPPassManager *LPM, MemorySSAUpdater *MSSAU) {
LLVM_DEBUG(dbgs() << "Replace with '" << *V << "': " << *I << "\n");
// Add uses to the worklist, which may be dead now.
for (unsigned i = 0, e = I->getNumOperands(); i != e; ++i)
if (Instruction *Use = dyn_cast<Instruction>(I->getOperand(i)))
Worklist.push_back(Use);
// Add users to the worklist which may be simplified now.
[C++11] Add range based accessors for the Use-Def chain of a Value. This requires a number of steps. 1) Move value_use_iterator into the Value class as an implementation detail 2) Change it to actually be a *Use* iterator rather than a *User* iterator. 3) Add an adaptor which is a User iterator that always looks through the Use to the User. 4) Wrap these in Value::use_iterator and Value::user_iterator typedefs. 5) Add the range adaptors as Value::uses() and Value::users(). 6) Update *all* of the callers to correctly distinguish between whether they wanted a use_iterator (and to explicitly dig out the User when needed), or a user_iterator which makes the Use itself totally opaque. Because #6 requires churning essentially everything that walked the Use-Def chains, I went ahead and added all of the range adaptors and switched them to range-based loops where appropriate. Also because the renaming requires at least churning every line of code, it didn't make any sense to split these up into multiple commits -- all of which would touch all of the same lies of code. The result is still not quite optimal. The Value::use_iterator is a nice regular iterator, but Value::user_iterator is an iterator over User*s rather than over the User objects themselves. As a consequence, it fits a bit awkwardly into the range-based world and it has the weird extra-dereferencing 'operator->' that so many of our iterators have. I think this could be fixed by providing something which transforms a range of T&s into a range of T*s, but that *can* be separated into another patch, and it isn't yet 100% clear whether this is the right move. However, this change gets us most of the benefit and cleans up a substantial amount of code around Use and User. =] llvm-svn: 203364
2014-03-09 11:16:01 +08:00
for (User *U : I->users())
Worklist.push_back(cast<Instruction>(U));
LPM->deleteSimpleAnalysisValue(I, L);
RemoveFromWorklist(I, Worklist);
I->replaceAllUsesWith(V);
if (!I->mayHaveSideEffects()) {
if (MSSAU)
MSSAU->removeMemoryAccess(I);
I->eraseFromParent();
}
++NumSimplify;
}
/// We know either that the value LIC has the value specified by Val in the
/// specified loop, or we know it does NOT have that value.
/// Rewrite any uses of LIC or of properties correlated to it.
void LoopUnswitch::RewriteLoopBodyWithConditionConstant(Loop *L, Value *LIC,
Constant *Val,
bool IsEqual) {
assert(!isa<Constant>(LIC) && "Why are we unswitching on a constant?");
2012-04-10 13:14:37 +08:00
// FIXME: Support correlated properties, like:
// for (...)
// if (li1 < li2)
// ...
// if (li1 > li2)
// ...
2012-04-10 13:14:37 +08:00
// FOLD boolean conditions (X|LIC), (X&LIC). Fold conditional branches,
// selects, switches.
std::vector<Instruction*> Worklist;
LLVMContext &Context = Val->getContext();
// If we know that LIC == Val, or that LIC == NotVal, just replace uses of LIC
// in the loop with the appropriate one directly.
if (IsEqual || (isa<ConstantInt>(Val) &&
Val->getType()->isIntegerTy(1))) {
Value *Replacement;
if (IsEqual)
Replacement = Val;
else
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Replacement = ConstantInt::get(Type::getInt1Ty(Val->getContext()),
!cast<ConstantInt>(Val)->getZExtValue());
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[C++11] Add range based accessors for the Use-Def chain of a Value. This requires a number of steps. 1) Move value_use_iterator into the Value class as an implementation detail 2) Change it to actually be a *Use* iterator rather than a *User* iterator. 3) Add an adaptor which is a User iterator that always looks through the Use to the User. 4) Wrap these in Value::use_iterator and Value::user_iterator typedefs. 5) Add the range adaptors as Value::uses() and Value::users(). 6) Update *all* of the callers to correctly distinguish between whether they wanted a use_iterator (and to explicitly dig out the User when needed), or a user_iterator which makes the Use itself totally opaque. Because #6 requires churning essentially everything that walked the Use-Def chains, I went ahead and added all of the range adaptors and switched them to range-based loops where appropriate. Also because the renaming requires at least churning every line of code, it didn't make any sense to split these up into multiple commits -- all of which would touch all of the same lies of code. The result is still not quite optimal. The Value::use_iterator is a nice regular iterator, but Value::user_iterator is an iterator over User*s rather than over the User objects themselves. As a consequence, it fits a bit awkwardly into the range-based world and it has the weird extra-dereferencing 'operator->' that so many of our iterators have. I think this could be fixed by providing something which transforms a range of T&s into a range of T*s, but that *can* be separated into another patch, and it isn't yet 100% clear whether this is the right move. However, this change gets us most of the benefit and cleans up a substantial amount of code around Use and User. =] llvm-svn: 203364
2014-03-09 11:16:01 +08:00
for (User *U : LIC->users()) {
Instruction *UI = dyn_cast<Instruction>(U);
if (!UI || !L->contains(UI))
continue;
[C++11] Add range based accessors for the Use-Def chain of a Value. This requires a number of steps. 1) Move value_use_iterator into the Value class as an implementation detail 2) Change it to actually be a *Use* iterator rather than a *User* iterator. 3) Add an adaptor which is a User iterator that always looks through the Use to the User. 4) Wrap these in Value::use_iterator and Value::user_iterator typedefs. 5) Add the range adaptors as Value::uses() and Value::users(). 6) Update *all* of the callers to correctly distinguish between whether they wanted a use_iterator (and to explicitly dig out the User when needed), or a user_iterator which makes the Use itself totally opaque. Because #6 requires churning essentially everything that walked the Use-Def chains, I went ahead and added all of the range adaptors and switched them to range-based loops where appropriate. Also because the renaming requires at least churning every line of code, it didn't make any sense to split these up into multiple commits -- all of which would touch all of the same lies of code. The result is still not quite optimal. The Value::use_iterator is a nice regular iterator, but Value::user_iterator is an iterator over User*s rather than over the User objects themselves. As a consequence, it fits a bit awkwardly into the range-based world and it has the weird extra-dereferencing 'operator->' that so many of our iterators have. I think this could be fixed by providing something which transforms a range of T&s into a range of T*s, but that *can* be separated into another patch, and it isn't yet 100% clear whether this is the right move. However, this change gets us most of the benefit and cleans up a substantial amount of code around Use and User. =] llvm-svn: 203364
2014-03-09 11:16:01 +08:00
Worklist.push_back(UI);
}
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for (Instruction *UI : Worklist)
UI->replaceUsesOfWith(LIC, Replacement);
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SimplifyCode(Worklist, L);
return;
}
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// Otherwise, we don't know the precise value of LIC, but we do know that it
// is certainly NOT "Val". As such, simplify any uses in the loop that we
// can. This case occurs when we unswitch switch statements.
[C++11] Add range based accessors for the Use-Def chain of a Value. This requires a number of steps. 1) Move value_use_iterator into the Value class as an implementation detail 2) Change it to actually be a *Use* iterator rather than a *User* iterator. 3) Add an adaptor which is a User iterator that always looks through the Use to the User. 4) Wrap these in Value::use_iterator and Value::user_iterator typedefs. 5) Add the range adaptors as Value::uses() and Value::users(). 6) Update *all* of the callers to correctly distinguish between whether they wanted a use_iterator (and to explicitly dig out the User when needed), or a user_iterator which makes the Use itself totally opaque. Because #6 requires churning essentially everything that walked the Use-Def chains, I went ahead and added all of the range adaptors and switched them to range-based loops where appropriate. Also because the renaming requires at least churning every line of code, it didn't make any sense to split these up into multiple commits -- all of which would touch all of the same lies of code. The result is still not quite optimal. The Value::use_iterator is a nice regular iterator, but Value::user_iterator is an iterator over User*s rather than over the User objects themselves. As a consequence, it fits a bit awkwardly into the range-based world and it has the weird extra-dereferencing 'operator->' that so many of our iterators have. I think this could be fixed by providing something which transforms a range of T&s into a range of T*s, but that *can* be separated into another patch, and it isn't yet 100% clear whether this is the right move. However, this change gets us most of the benefit and cleans up a substantial amount of code around Use and User. =] llvm-svn: 203364
2014-03-09 11:16:01 +08:00
for (User *U : LIC->users()) {
Instruction *UI = dyn_cast<Instruction>(U);
if (!UI || !L->contains(UI))
continue;
// At this point, we know LIC is definitely not Val. Try to use some simple
// logic to simplify the user w.r.t. to the context.
if (Value *Replacement = SimplifyInstructionWithNotEqual(UI, LIC, Val)) {
if (LI->replacementPreservesLCSSAForm(UI, Replacement)) {
// This in-loop instruction has been simplified w.r.t. its context,
// i.e. LIC != Val, make sure we propagate its replacement value to
// all its users.
//
// We can not yet delete UI, the LIC user, yet, because that would invalidate
// the LIC->users() iterator !. However, we can make this instruction
// dead by replacing all its users and push it onto the worklist so that
// it can be properly deleted and its operands simplified.
UI->replaceAllUsesWith(Replacement);
}
}
// This is a LIC user, push it into the worklist so that SimplifyCode can
// attempt to simplify it.
Worklist.push_back(UI);
// If we know that LIC is not Val, use this info to simplify code.
[C++11] Add range based accessors for the Use-Def chain of a Value. This requires a number of steps. 1) Move value_use_iterator into the Value class as an implementation detail 2) Change it to actually be a *Use* iterator rather than a *User* iterator. 3) Add an adaptor which is a User iterator that always looks through the Use to the User. 4) Wrap these in Value::use_iterator and Value::user_iterator typedefs. 5) Add the range adaptors as Value::uses() and Value::users(). 6) Update *all* of the callers to correctly distinguish between whether they wanted a use_iterator (and to explicitly dig out the User when needed), or a user_iterator which makes the Use itself totally opaque. Because #6 requires churning essentially everything that walked the Use-Def chains, I went ahead and added all of the range adaptors and switched them to range-based loops where appropriate. Also because the renaming requires at least churning every line of code, it didn't make any sense to split these up into multiple commits -- all of which would touch all of the same lies of code. The result is still not quite optimal. The Value::use_iterator is a nice regular iterator, but Value::user_iterator is an iterator over User*s rather than over the User objects themselves. As a consequence, it fits a bit awkwardly into the range-based world and it has the weird extra-dereferencing 'operator->' that so many of our iterators have. I think this could be fixed by providing something which transforms a range of T&s into a range of T*s, but that *can* be separated into another patch, and it isn't yet 100% clear whether this is the right move. However, this change gets us most of the benefit and cleans up a substantial amount of code around Use and User. =] llvm-svn: 203364
2014-03-09 11:16:01 +08:00
SwitchInst *SI = dyn_cast<SwitchInst>(UI);
if (!SI || !isa<ConstantInt>(Val)) continue;
2012-04-10 13:14:37 +08:00
// NOTE: if a case value for the switch is unswitched out, we record it
// after the unswitch finishes. We can not record it here as the switch
// is not a direct user of the partial LIV.
SwitchInst::CaseHandle DeadCase =
*SI->findCaseValue(cast<ConstantInt>(Val));
SwitchInst refactoring. The purpose of refactoring is to hide operand roles from SwitchInst user (programmer). If you want to play with operands directly, probably you will need lower level methods than SwitchInst ones (TerminatorInst or may be User). After this patch we can reorganize SwitchInst operands and successors as we want. What was done: 1. Changed semantics of index inside the getCaseValue method: getCaseValue(0) means "get first case", not a condition. Use getCondition() if you want to resolve the condition. I propose don't mix SwitchInst case indexing with low level indexing (TI successors indexing, User's operands indexing), since it may be dangerous. 2. By the same reason findCaseValue(ConstantInt*) returns actual number of case value. 0 means first case, not default. If there is no case with given value, ErrorIndex will returned. 3. Added getCaseSuccessor method. I propose to avoid usage of TerminatorInst::getSuccessor if you want to resolve case successor BB. Use getCaseSuccessor instead, since internal SwitchInst organization of operands/successors is hidden and may be changed in any moment. 4. Added resolveSuccessorIndex and resolveCaseIndex. The main purpose of these methods is to see how case successors are really mapped in TerminatorInst. 4.1 "resolveSuccessorIndex" was created if you need to level down from SwitchInst to TerminatorInst. It returns TerminatorInst's successor index for given case successor. 4.2 "resolveCaseIndex" converts low level successors index to case index that curresponds to the given successor. Note: There are also related compatability fix patches for dragonegg, klee, llvm-gcc-4.0, llvm-gcc-4.2, safecode, clang. llvm-svn: 149481
2012-02-01 15:49:51 +08:00
// Default case is live for multiple values.
if (DeadCase == *SI->case_default())
continue;
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// Found a dead case value. Don't remove PHI nodes in the
// successor if they become single-entry, those PHI nodes may
// be in the Users list.
BasicBlock *Switch = SI->getParent();
BasicBlock *SISucc = DeadCase.getCaseSuccessor();
BasicBlock *Latch = L->getLoopLatch();
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if (!SI->findCaseDest(SISucc)) continue; // Edge is critical.
// If the DeadCase successor dominates the loop latch, then the
// transformation isn't safe since it will delete the sole predecessor edge
// to the latch.
if (Latch && DT->dominates(SISucc, Latch))
continue;
// FIXME: This is a hack. We need to keep the successor around
// and hooked up so as to preserve the loop structure, because
// trying to update it is complicated. So instead we preserve the
// loop structure and put the block on a dead code path.
SplitEdge(Switch, SISucc, DT, LI, MSSAU.get());
// Compute the successors instead of relying on the return value
// of SplitEdge, since it may have split the switch successor
// after PHI nodes.
BasicBlock *NewSISucc = DeadCase.getCaseSuccessor();
BasicBlock *OldSISucc = *succ_begin(NewSISucc);
// Create an "unreachable" destination.
BasicBlock *Abort = BasicBlock::Create(Context, "us-unreachable",
Switch->getParent(),
OldSISucc);
new UnreachableInst(Context, Abort);
// Force the new case destination to branch to the "unreachable"
// block while maintaining a (dead) CFG edge to the old block.
NewSISucc->getTerminator()->eraseFromParent();
BranchInst::Create(Abort, OldSISucc,
ConstantInt::getTrue(Context), NewSISucc);
// Release the PHI operands for this edge.
for (PHINode &PN : NewSISucc->phis())
PN.setIncomingValue(PN.getBasicBlockIndex(Switch),
UndefValue::get(PN.getType()));
// Tell the domtree about the new block. We don't fully update the
// domtree here -- instead we force it to do a full recomputation
// after the pass is complete -- but we do need to inform it of
// new blocks.
DT->addNewBlock(Abort, NewSISucc);
}
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SimplifyCode(Worklist, L);
}
/// Now that we have simplified some instructions in the loop, walk over it and
/// constant prop, dce, and fold control flow where possible. Note that this is
/// effectively a very simple loop-structure-aware optimizer. During processing
/// of this loop, L could very well be deleted, so it must not be used.
///
/// FIXME: When the loop optimizer is more mature, separate this out to a new
/// pass.
///
void LoopUnswitch::SimplifyCode(std::vector<Instruction*> &Worklist, Loop *L) {
const DataLayout &DL = L->getHeader()->getModule()->getDataLayout();
while (!Worklist.empty()) {
Instruction *I = Worklist.back();
Worklist.pop_back();
// Simple DCE.
if (isInstructionTriviallyDead(I)) {
LLVM_DEBUG(dbgs() << "Remove dead instruction '" << *I << "\n");
2012-04-10 13:14:37 +08:00
// Add uses to the worklist, which may be dead now.
for (unsigned i = 0, e = I->getNumOperands(); i != e; ++i)
if (Instruction *Use = dyn_cast<Instruction>(I->getOperand(i)))
Worklist.push_back(Use);
LPM->deleteSimpleAnalysisValue(I, L);
RemoveFromWorklist(I, Worklist);
if (MSSAU)
MSSAU->removeMemoryAccess(I);
I->eraseFromParent();
++NumSimplify;
continue;
}
// See if instruction simplification can hack this up. This is common for
// things like "select false, X, Y" after unswitching made the condition be
// 'false'. TODO: update the domtree properly so we can pass it here.
if (Value *V = SimplifyInstruction(I, DL))
if (LI->replacementPreservesLCSSAForm(I, V)) {
ReplaceUsesOfWith(I, V, Worklist, L, LPM, MSSAU.get());
continue;
}
// Special case hacks that appear commonly in unswitched code.
if (BranchInst *BI = dyn_cast<BranchInst>(I)) {
if (BI->isUnconditional()) {
// If BI's parent is the only pred of the successor, fold the two blocks
// together.
BasicBlock *Pred = BI->getParent();
BasicBlock *Succ = BI->getSuccessor(0);
BasicBlock *SinglePred = Succ->getSinglePredecessor();
if (!SinglePred) continue; // Nothing to do.
assert(SinglePred == Pred && "CFG broken");
LLVM_DEBUG(dbgs() << "Merging blocks: " << Pred->getName() << " <- "
<< Succ->getName() << "\n");
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// Resolve any single entry PHI nodes in Succ.
while (PHINode *PN = dyn_cast<PHINode>(Succ->begin()))
ReplaceUsesOfWith(PN, PN->getIncomingValue(0), Worklist, L, LPM,
MSSAU.get());
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// If Succ has any successors with PHI nodes, update them to have
// entries coming from Pred instead of Succ.
Succ->replaceAllUsesWith(Pred);
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// Move all of the successor contents from Succ to Pred.
Pred->getInstList().splice(BI->getIterator(), Succ->getInstList(),
Succ->begin(), Succ->end());
if (MSSAU)
MSSAU->moveAllAfterMergeBlocks(Succ, Pred, BI);
LPM->deleteSimpleAnalysisValue(BI, L);
RemoveFromWorklist(BI, Worklist);
BI->eraseFromParent();
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// Remove Succ from the loop tree.
LI->removeBlock(Succ);
LPM->deleteSimpleAnalysisValue(Succ, L);
Succ->eraseFromParent();
++NumSimplify;
continue;
}
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continue;
}
}
}
/// Simple simplifications we can do given the information that Cond is
/// definitely not equal to Val.
Value *LoopUnswitch::SimplifyInstructionWithNotEqual(Instruction *Inst,
Value *Invariant,
Constant *Val) {
// icmp eq cond, val -> false
ICmpInst *CI = dyn_cast<ICmpInst>(Inst);
if (CI && CI->isEquality()) {
Value *Op0 = CI->getOperand(0);
Value *Op1 = CI->getOperand(1);
if ((Op0 == Invariant && Op1 == Val) || (Op0 == Val && Op1 == Invariant)) {
LLVMContext &Ctx = Inst->getContext();
if (CI->getPredicate() == CmpInst::ICMP_EQ)
return ConstantInt::getFalse(Ctx);
else
return ConstantInt::getTrue(Ctx);
}
}
// FIXME: there may be other opportunities, e.g. comparison with floating
// point, or Invariant - Val != 0, etc.
return nullptr;
}