llvm-project/llvm/lib/Transforms/IPO/InlineSimple.cpp

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//===- InlineSimple.cpp - Code to perform simple function inlining --------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
2001-06-07 04:29:01 +08:00
//
// This file implements bottom-up inlining of functions into callees.
//
2001-06-07 04:29:01 +08:00
//===----------------------------------------------------------------------===//
#include "llvm/Analysis/AssumptionCache.h"
#include "llvm/Analysis/InlineCost.h"
#include "llvm/Analysis/ProfileSummaryInfo.h"
[PM/AA] Rebuild LLVM's alias analysis infrastructure in a way compatible with the new pass manager, and no longer relying on analysis groups. This builds essentially a ground-up new AA infrastructure stack for LLVM. The core ideas are the same that are used throughout the new pass manager: type erased polymorphism and direct composition. The design is as follows: - FunctionAAResults is a type-erasing alias analysis results aggregation interface to walk a single query across a range of results from different alias analyses. Currently this is function-specific as we always assume that aliasing queries are *within* a function. - AAResultBase is a CRTP utility providing stub implementations of various parts of the alias analysis result concept, notably in several cases in terms of other more general parts of the interface. This can be used to implement only a narrow part of the interface rather than the entire interface. This isn't really ideal, this logic should be hoisted into FunctionAAResults as currently it will cause a significant amount of redundant work, but it faithfully models the behavior of the prior infrastructure. - All the alias analysis passes are ported to be wrapper passes for the legacy PM and new-style analysis passes for the new PM with a shared result object. In some cases (most notably CFL), this is an extremely naive approach that we should revisit when we can specialize for the new pass manager. - BasicAA has been restructured to reflect that it is much more fundamentally a function analysis because it uses dominator trees and loop info that need to be constructed for each function. All of the references to getting alias analysis results have been updated to use the new aggregation interface. All the preservation and other pass management code has been updated accordingly. The way the FunctionAAResultsWrapperPass works is to detect the available alias analyses when run, and add them to the results object. This means that we should be able to continue to respect when various passes are added to the pipeline, for example adding CFL or adding TBAA passes should just cause their results to be available and to get folded into this. The exception to this rule is BasicAA which really needs to be a function pass due to using dominator trees and loop info. As a consequence, the FunctionAAResultsWrapperPass directly depends on BasicAA and always includes it in the aggregation. This has significant implications for preserving analyses. Generally, most passes shouldn't bother preserving FunctionAAResultsWrapperPass because rebuilding the results just updates the set of known AA passes. The exception to this rule are LoopPass instances which need to preserve all the function analyses that the loop pass manager will end up needing. This means preserving both BasicAAWrapperPass and the aggregating FunctionAAResultsWrapperPass. Now, when preserving an alias analysis, you do so by directly preserving that analysis. This is only necessary for non-immutable-pass-provided alias analyses though, and there are only three of interest: BasicAA, GlobalsAA (formerly GlobalsModRef), and SCEVAA. Usually BasicAA is preserved when needed because it (like DominatorTree and LoopInfo) is marked as a CFG-only pass. I've expanded GlobalsAA into the preserved set everywhere we previously were preserving all of AliasAnalysis, and I've added SCEVAA in the intersection of that with where we preserve SCEV itself. One significant challenge to all of this is that the CGSCC passes were actually using the alias analysis implementations by taking advantage of a pretty amazing set of loop holes in the old pass manager's analysis management code which allowed analysis groups to slide through in many cases. Moving away from analysis groups makes this problem much more obvious. To fix it, I've leveraged the flexibility the design of the new PM components provides to just directly construct the relevant alias analyses for the relevant functions in the IPO passes that need them. This is a bit hacky, but should go away with the new pass manager, and is already in many ways cleaner than the prior state. Another significant challenge is that various facilities of the old alias analysis infrastructure just don't fit any more. The most significant of these is the alias analysis 'counter' pass. That pass relied on the ability to snoop on AA queries at different points in the analysis group chain. Instead, I'm planning to build printing functionality directly into the aggregation layer. I've not included that in this patch merely to keep it smaller. Note that all of this needs a nearly complete rewrite of the AA documentation. I'm planning to do that, but I'd like to make sure the new design settles, and to flesh out a bit more of what it looks like in the new pass manager first. Differential Revision: http://reviews.llvm.org/D12080 llvm-svn: 247167
2015-09-10 01:55:00 +08:00
#include "llvm/Analysis/TargetLibraryInfo.h"
#include "llvm/Analysis/TargetTransformInfo.h"
#include "llvm/IR/CallSite.h"
#include "llvm/IR/CallingConv.h"
#include "llvm/IR/DataLayout.h"
#include "llvm/IR/Instructions.h"
#include "llvm/IR/Module.h"
#include "llvm/IR/Type.h"
#include "llvm/Transforms/IPO.h"
[PM] Provide an initial, minimal port of the inliner to the new pass manager. This doesn't implement *every* feature of the existing inliner, but tries to implement the most important ones for building a functional optimization pipeline and beginning to sort out bugs, regressions, and other problems. Notable, but intentional omissions: - No alloca merging support. Why? Because it isn't clear we want to do this at all. Active discussion and investigation is going on to remove it, so for simplicity I omitted it. - No support for trying to iterate on "internally" devirtualized calls. Why? Because it adds what I suspect is inappropriate coupling for little or no benefit. We will have an outer iteration system that tracks devirtualization including that from function passes and iterates already. We should improve that rather than approximate it here. - Optimization remarks. Why? Purely to make the patch smaller, no other reason at all. The last one I'll probably work on almost immediately. But I wanted to skip it in the initial patch to try to focus the change as much as possible as there is already a lot of code moving around and both of these *could* be skipped without really disrupting the core logic. A summary of the different things happening here: 1) Adding the usual new PM class and rigging. 2) Fixing minor underlying assumptions in the inline cost analysis or inline logic that don't generally hold in the new PM world. 3) Adding the core pass logic which is in essence a loop over the calls in the nodes in the call graph. This is a bit duplicated from the old inliner, but only a handful of lines could realistically be shared. (I tried at first, and it really didn't help anything.) All told, this is only about 100 lines of code, and most of that is the mechanics of wiring up analyses from the new PM world. 4) Updating the LazyCallGraph (in the new PM) based on the *newly inlined* calls and references. This is very minimal because we cannot form cycles. 5) When inlining removes the last use of a function, eagerly nuking the body of the function so that any "one use remaining" inline cost heuristics are immediately refined, and queuing these functions to be completely deleted once inlining is complete and the call graph updated to reflect that they have become dead. 6) After all the inlining for a particular function, updating the LazyCallGraph and the CGSCC pass manager to reflect the function-local simplifications that are done immediately and internally by the inline utilties. These are the exact same fundamental set of CG updates done by arbitrary function passes. 7) Adding a bunch of test cases to specifically target CGSCC and other subtle aspects in the new PM world. Many thanks to the careful review from Easwaran and Sanjoy and others! Differential Revision: https://reviews.llvm.org/D24226 llvm-svn: 290161
2016-12-20 11:15:32 +08:00
#include "llvm/Transforms/IPO/Inliner.h"
using namespace llvm;
#define DEBUG_TYPE "inline"
namespace {
/// Actual inliner pass implementation.
///
/// The common implementation of the inlining logic is shared between this
/// inliner pass and the always inliner pass. The two passes use different cost
/// analyses to determine when to inline.
[PM] Provide an initial, minimal port of the inliner to the new pass manager. This doesn't implement *every* feature of the existing inliner, but tries to implement the most important ones for building a functional optimization pipeline and beginning to sort out bugs, regressions, and other problems. Notable, but intentional omissions: - No alloca merging support. Why? Because it isn't clear we want to do this at all. Active discussion and investigation is going on to remove it, so for simplicity I omitted it. - No support for trying to iterate on "internally" devirtualized calls. Why? Because it adds what I suspect is inappropriate coupling for little or no benefit. We will have an outer iteration system that tracks devirtualization including that from function passes and iterates already. We should improve that rather than approximate it here. - Optimization remarks. Why? Purely to make the patch smaller, no other reason at all. The last one I'll probably work on almost immediately. But I wanted to skip it in the initial patch to try to focus the change as much as possible as there is already a lot of code moving around and both of these *could* be skipped without really disrupting the core logic. A summary of the different things happening here: 1) Adding the usual new PM class and rigging. 2) Fixing minor underlying assumptions in the inline cost analysis or inline logic that don't generally hold in the new PM world. 3) Adding the core pass logic which is in essence a loop over the calls in the nodes in the call graph. This is a bit duplicated from the old inliner, but only a handful of lines could realistically be shared. (I tried at first, and it really didn't help anything.) All told, this is only about 100 lines of code, and most of that is the mechanics of wiring up analyses from the new PM world. 4) Updating the LazyCallGraph (in the new PM) based on the *newly inlined* calls and references. This is very minimal because we cannot form cycles. 5) When inlining removes the last use of a function, eagerly nuking the body of the function so that any "one use remaining" inline cost heuristics are immediately refined, and queuing these functions to be completely deleted once inlining is complete and the call graph updated to reflect that they have become dead. 6) After all the inlining for a particular function, updating the LazyCallGraph and the CGSCC pass manager to reflect the function-local simplifications that are done immediately and internally by the inline utilties. These are the exact same fundamental set of CG updates done by arbitrary function passes. 7) Adding a bunch of test cases to specifically target CGSCC and other subtle aspects in the new PM world. Many thanks to the careful review from Easwaran and Sanjoy and others! Differential Revision: https://reviews.llvm.org/D24226 llvm-svn: 290161
2016-12-20 11:15:32 +08:00
class SimpleInliner : public LegacyInlinerBase {
InlineParams Params;
public:
[PM] Provide an initial, minimal port of the inliner to the new pass manager. This doesn't implement *every* feature of the existing inliner, but tries to implement the most important ones for building a functional optimization pipeline and beginning to sort out bugs, regressions, and other problems. Notable, but intentional omissions: - No alloca merging support. Why? Because it isn't clear we want to do this at all. Active discussion and investigation is going on to remove it, so for simplicity I omitted it. - No support for trying to iterate on "internally" devirtualized calls. Why? Because it adds what I suspect is inappropriate coupling for little or no benefit. We will have an outer iteration system that tracks devirtualization including that from function passes and iterates already. We should improve that rather than approximate it here. - Optimization remarks. Why? Purely to make the patch smaller, no other reason at all. The last one I'll probably work on almost immediately. But I wanted to skip it in the initial patch to try to focus the change as much as possible as there is already a lot of code moving around and both of these *could* be skipped without really disrupting the core logic. A summary of the different things happening here: 1) Adding the usual new PM class and rigging. 2) Fixing minor underlying assumptions in the inline cost analysis or inline logic that don't generally hold in the new PM world. 3) Adding the core pass logic which is in essence a loop over the calls in the nodes in the call graph. This is a bit duplicated from the old inliner, but only a handful of lines could realistically be shared. (I tried at first, and it really didn't help anything.) All told, this is only about 100 lines of code, and most of that is the mechanics of wiring up analyses from the new PM world. 4) Updating the LazyCallGraph (in the new PM) based on the *newly inlined* calls and references. This is very minimal because we cannot form cycles. 5) When inlining removes the last use of a function, eagerly nuking the body of the function so that any "one use remaining" inline cost heuristics are immediately refined, and queuing these functions to be completely deleted once inlining is complete and the call graph updated to reflect that they have become dead. 6) After all the inlining for a particular function, updating the LazyCallGraph and the CGSCC pass manager to reflect the function-local simplifications that are done immediately and internally by the inline utilties. These are the exact same fundamental set of CG updates done by arbitrary function passes. 7) Adding a bunch of test cases to specifically target CGSCC and other subtle aspects in the new PM world. Many thanks to the careful review from Easwaran and Sanjoy and others! Differential Revision: https://reviews.llvm.org/D24226 llvm-svn: 290161
2016-12-20 11:15:32 +08:00
SimpleInliner() : LegacyInlinerBase(ID), Params(llvm::getInlineParams()) {
initializeSimpleInlinerPass(*PassRegistry::getPassRegistry());
}
[PM] Provide an initial, minimal port of the inliner to the new pass manager. This doesn't implement *every* feature of the existing inliner, but tries to implement the most important ones for building a functional optimization pipeline and beginning to sort out bugs, regressions, and other problems. Notable, but intentional omissions: - No alloca merging support. Why? Because it isn't clear we want to do this at all. Active discussion and investigation is going on to remove it, so for simplicity I omitted it. - No support for trying to iterate on "internally" devirtualized calls. Why? Because it adds what I suspect is inappropriate coupling for little or no benefit. We will have an outer iteration system that tracks devirtualization including that from function passes and iterates already. We should improve that rather than approximate it here. - Optimization remarks. Why? Purely to make the patch smaller, no other reason at all. The last one I'll probably work on almost immediately. But I wanted to skip it in the initial patch to try to focus the change as much as possible as there is already a lot of code moving around and both of these *could* be skipped without really disrupting the core logic. A summary of the different things happening here: 1) Adding the usual new PM class and rigging. 2) Fixing minor underlying assumptions in the inline cost analysis or inline logic that don't generally hold in the new PM world. 3) Adding the core pass logic which is in essence a loop over the calls in the nodes in the call graph. This is a bit duplicated from the old inliner, but only a handful of lines could realistically be shared. (I tried at first, and it really didn't help anything.) All told, this is only about 100 lines of code, and most of that is the mechanics of wiring up analyses from the new PM world. 4) Updating the LazyCallGraph (in the new PM) based on the *newly inlined* calls and references. This is very minimal because we cannot form cycles. 5) When inlining removes the last use of a function, eagerly nuking the body of the function so that any "one use remaining" inline cost heuristics are immediately refined, and queuing these functions to be completely deleted once inlining is complete and the call graph updated to reflect that they have become dead. 6) After all the inlining for a particular function, updating the LazyCallGraph and the CGSCC pass manager to reflect the function-local simplifications that are done immediately and internally by the inline utilties. These are the exact same fundamental set of CG updates done by arbitrary function passes. 7) Adding a bunch of test cases to specifically target CGSCC and other subtle aspects in the new PM world. Many thanks to the careful review from Easwaran and Sanjoy and others! Differential Revision: https://reviews.llvm.org/D24226 llvm-svn: 290161
2016-12-20 11:15:32 +08:00
explicit SimpleInliner(InlineParams Params)
: LegacyInlinerBase(ID), Params(std::move(Params)) {
initializeSimpleInlinerPass(*PassRegistry::getPassRegistry());
}
static char ID; // Pass identification, replacement for typeid
InlineCost getInlineCost(CallSite CS) override {
Function *Callee = CS.getCalledFunction();
TargetTransformInfo &TTI = TTIWP->getTTI(*Callee);
bool RemarksEnabled = false;
const auto &BBs = CS.getCaller()->getBasicBlockList();
if (!BBs.empty()) {
auto DI = OptimizationRemark(DEBUG_TYPE, "", DebugLoc(), &BBs.front());
if (DI.isEnabled())
RemarksEnabled = true;
}
OptimizationRemarkEmitter ORE(CS.getCaller());
std::function<AssumptionCache &(Function &)> GetAssumptionCache =
[&](Function &F) -> AssumptionCache & {
return ACT->getAssumptionCache(F);
};
return llvm::getInlineCost(CS, Params, TTI, GetAssumptionCache,
/*GetBFI=*/None, PSI,
RemarksEnabled ? &ORE : nullptr);
}
bool runOnSCC(CallGraphSCC &SCC) override;
void getAnalysisUsage(AnalysisUsage &AU) const override;
private:
TargetTransformInfoWrapperPass *TTIWP;
};
} // end anonymous namespace
char SimpleInliner::ID = 0;
INITIALIZE_PASS_BEGIN(SimpleInliner, "inline", "Function Integration/Inlining",
false, false)
INITIALIZE_PASS_DEPENDENCY(AssumptionCacheTracker)
INITIALIZE_PASS_DEPENDENCY(CallGraphWrapperPass)
INITIALIZE_PASS_DEPENDENCY(ProfileSummaryInfoWrapperPass)
INITIALIZE_PASS_DEPENDENCY(TargetTransformInfoWrapperPass)
[PM/AA] Rebuild LLVM's alias analysis infrastructure in a way compatible with the new pass manager, and no longer relying on analysis groups. This builds essentially a ground-up new AA infrastructure stack for LLVM. The core ideas are the same that are used throughout the new pass manager: type erased polymorphism and direct composition. The design is as follows: - FunctionAAResults is a type-erasing alias analysis results aggregation interface to walk a single query across a range of results from different alias analyses. Currently this is function-specific as we always assume that aliasing queries are *within* a function. - AAResultBase is a CRTP utility providing stub implementations of various parts of the alias analysis result concept, notably in several cases in terms of other more general parts of the interface. This can be used to implement only a narrow part of the interface rather than the entire interface. This isn't really ideal, this logic should be hoisted into FunctionAAResults as currently it will cause a significant amount of redundant work, but it faithfully models the behavior of the prior infrastructure. - All the alias analysis passes are ported to be wrapper passes for the legacy PM and new-style analysis passes for the new PM with a shared result object. In some cases (most notably CFL), this is an extremely naive approach that we should revisit when we can specialize for the new pass manager. - BasicAA has been restructured to reflect that it is much more fundamentally a function analysis because it uses dominator trees and loop info that need to be constructed for each function. All of the references to getting alias analysis results have been updated to use the new aggregation interface. All the preservation and other pass management code has been updated accordingly. The way the FunctionAAResultsWrapperPass works is to detect the available alias analyses when run, and add them to the results object. This means that we should be able to continue to respect when various passes are added to the pipeline, for example adding CFL or adding TBAA passes should just cause their results to be available and to get folded into this. The exception to this rule is BasicAA which really needs to be a function pass due to using dominator trees and loop info. As a consequence, the FunctionAAResultsWrapperPass directly depends on BasicAA and always includes it in the aggregation. This has significant implications for preserving analyses. Generally, most passes shouldn't bother preserving FunctionAAResultsWrapperPass because rebuilding the results just updates the set of known AA passes. The exception to this rule are LoopPass instances which need to preserve all the function analyses that the loop pass manager will end up needing. This means preserving both BasicAAWrapperPass and the aggregating FunctionAAResultsWrapperPass. Now, when preserving an alias analysis, you do so by directly preserving that analysis. This is only necessary for non-immutable-pass-provided alias analyses though, and there are only three of interest: BasicAA, GlobalsAA (formerly GlobalsModRef), and SCEVAA. Usually BasicAA is preserved when needed because it (like DominatorTree and LoopInfo) is marked as a CFG-only pass. I've expanded GlobalsAA into the preserved set everywhere we previously were preserving all of AliasAnalysis, and I've added SCEVAA in the intersection of that with where we preserve SCEV itself. One significant challenge to all of this is that the CGSCC passes were actually using the alias analysis implementations by taking advantage of a pretty amazing set of loop holes in the old pass manager's analysis management code which allowed analysis groups to slide through in many cases. Moving away from analysis groups makes this problem much more obvious. To fix it, I've leveraged the flexibility the design of the new PM components provides to just directly construct the relevant alias analyses for the relevant functions in the IPO passes that need them. This is a bit hacky, but should go away with the new pass manager, and is already in many ways cleaner than the prior state. Another significant challenge is that various facilities of the old alias analysis infrastructure just don't fit any more. The most significant of these is the alias analysis 'counter' pass. That pass relied on the ability to snoop on AA queries at different points in the analysis group chain. Instead, I'm planning to build printing functionality directly into the aggregation layer. I've not included that in this patch merely to keep it smaller. Note that all of this needs a nearly complete rewrite of the AA documentation. I'm planning to do that, but I'd like to make sure the new design settles, and to flesh out a bit more of what it looks like in the new pass manager first. Differential Revision: http://reviews.llvm.org/D12080 llvm-svn: 247167
2015-09-10 01:55:00 +08:00
INITIALIZE_PASS_DEPENDENCY(TargetLibraryInfoWrapperPass)
INITIALIZE_PASS_END(SimpleInliner, "inline", "Function Integration/Inlining",
false, false)
Pass *llvm::createFunctionInliningPass() { return new SimpleInliner(); }
2011-10-01 09:27:56 +08:00
Pass *llvm::createFunctionInliningPass(int Threshold) {
return new SimpleInliner(llvm::getInlineParams(Threshold));
}
Pass *llvm::createFunctionInliningPass(unsigned OptLevel,
unsigned SizeOptLevel,
bool DisableInlineHotCallSite) {
auto Param = llvm::getInlineParams(OptLevel, SizeOptLevel);
if (DisableInlineHotCallSite)
Param.HotCallSiteThreshold = 0;
return new SimpleInliner(Param);
}
Pass *llvm::createFunctionInliningPass(InlineParams &Params) {
return new SimpleInliner(Params);
}
bool SimpleInliner::runOnSCC(CallGraphSCC &SCC) {
TTIWP = &getAnalysis<TargetTransformInfoWrapperPass>();
[PM] Provide an initial, minimal port of the inliner to the new pass manager. This doesn't implement *every* feature of the existing inliner, but tries to implement the most important ones for building a functional optimization pipeline and beginning to sort out bugs, regressions, and other problems. Notable, but intentional omissions: - No alloca merging support. Why? Because it isn't clear we want to do this at all. Active discussion and investigation is going on to remove it, so for simplicity I omitted it. - No support for trying to iterate on "internally" devirtualized calls. Why? Because it adds what I suspect is inappropriate coupling for little or no benefit. We will have an outer iteration system that tracks devirtualization including that from function passes and iterates already. We should improve that rather than approximate it here. - Optimization remarks. Why? Purely to make the patch smaller, no other reason at all. The last one I'll probably work on almost immediately. But I wanted to skip it in the initial patch to try to focus the change as much as possible as there is already a lot of code moving around and both of these *could* be skipped without really disrupting the core logic. A summary of the different things happening here: 1) Adding the usual new PM class and rigging. 2) Fixing minor underlying assumptions in the inline cost analysis or inline logic that don't generally hold in the new PM world. 3) Adding the core pass logic which is in essence a loop over the calls in the nodes in the call graph. This is a bit duplicated from the old inliner, but only a handful of lines could realistically be shared. (I tried at first, and it really didn't help anything.) All told, this is only about 100 lines of code, and most of that is the mechanics of wiring up analyses from the new PM world. 4) Updating the LazyCallGraph (in the new PM) based on the *newly inlined* calls and references. This is very minimal because we cannot form cycles. 5) When inlining removes the last use of a function, eagerly nuking the body of the function so that any "one use remaining" inline cost heuristics are immediately refined, and queuing these functions to be completely deleted once inlining is complete and the call graph updated to reflect that they have become dead. 6) After all the inlining for a particular function, updating the LazyCallGraph and the CGSCC pass manager to reflect the function-local simplifications that are done immediately and internally by the inline utilties. These are the exact same fundamental set of CG updates done by arbitrary function passes. 7) Adding a bunch of test cases to specifically target CGSCC and other subtle aspects in the new PM world. Many thanks to the careful review from Easwaran and Sanjoy and others! Differential Revision: https://reviews.llvm.org/D24226 llvm-svn: 290161
2016-12-20 11:15:32 +08:00
return LegacyInlinerBase::runOnSCC(SCC);
}
void SimpleInliner::getAnalysisUsage(AnalysisUsage &AU) const {
AU.addRequired<TargetTransformInfoWrapperPass>();
[PM] Provide an initial, minimal port of the inliner to the new pass manager. This doesn't implement *every* feature of the existing inliner, but tries to implement the most important ones for building a functional optimization pipeline and beginning to sort out bugs, regressions, and other problems. Notable, but intentional omissions: - No alloca merging support. Why? Because it isn't clear we want to do this at all. Active discussion and investigation is going on to remove it, so for simplicity I omitted it. - No support for trying to iterate on "internally" devirtualized calls. Why? Because it adds what I suspect is inappropriate coupling for little or no benefit. We will have an outer iteration system that tracks devirtualization including that from function passes and iterates already. We should improve that rather than approximate it here. - Optimization remarks. Why? Purely to make the patch smaller, no other reason at all. The last one I'll probably work on almost immediately. But I wanted to skip it in the initial patch to try to focus the change as much as possible as there is already a lot of code moving around and both of these *could* be skipped without really disrupting the core logic. A summary of the different things happening here: 1) Adding the usual new PM class and rigging. 2) Fixing minor underlying assumptions in the inline cost analysis or inline logic that don't generally hold in the new PM world. 3) Adding the core pass logic which is in essence a loop over the calls in the nodes in the call graph. This is a bit duplicated from the old inliner, but only a handful of lines could realistically be shared. (I tried at first, and it really didn't help anything.) All told, this is only about 100 lines of code, and most of that is the mechanics of wiring up analyses from the new PM world. 4) Updating the LazyCallGraph (in the new PM) based on the *newly inlined* calls and references. This is very minimal because we cannot form cycles. 5) When inlining removes the last use of a function, eagerly nuking the body of the function so that any "one use remaining" inline cost heuristics are immediately refined, and queuing these functions to be completely deleted once inlining is complete and the call graph updated to reflect that they have become dead. 6) After all the inlining for a particular function, updating the LazyCallGraph and the CGSCC pass manager to reflect the function-local simplifications that are done immediately and internally by the inline utilties. These are the exact same fundamental set of CG updates done by arbitrary function passes. 7) Adding a bunch of test cases to specifically target CGSCC and other subtle aspects in the new PM world. Many thanks to the careful review from Easwaran and Sanjoy and others! Differential Revision: https://reviews.llvm.org/D24226 llvm-svn: 290161
2016-12-20 11:15:32 +08:00
LegacyInlinerBase::getAnalysisUsage(AU);
}