1
0
mirror of https://github.com/RPCS3/llvm-mirror.git synced 2024-11-24 03:33:20 +01:00
llvm-mirror/lib/Passes/PassBuilder.cpp

1974 lines
79 KiB
C++
Raw Normal View History

[PM] Create a separate library for high-level pass management code. This will provide the analogous replacements for the PassManagerBuilder and other code long term. This code is extracted from the opt tool currently, and I plan to extend it as I build up support for using the new pass manager in Clang and other places. Mailing this out for review in part to let folks comment on the terrible names here. A brief word about why I chose the names I did. The library is called "Passes" to try and make it clear that it is a high-level utility and where *all* of the passes come together and are registered in a common library. I didn't want it to be *limited* to a registry though, the registry is just one component. The class is a "PassBuilder" but this name I'm less happy with. It doesn't build passes in any traditional sense and isn't a Builder-style API at all. The class is a PassRegisterer or PassAdder, but neither of those really make a lot of sense. This class is responsible for constructing passes for registry in an analysis manager or for population of a pass pipeline. If anyone has a better name, I would love to hear it. The other candidate I looked at was PassRegistrar, but that doesn't really fit either. There is no register of all the passes in use, and so I think continuing the "registry" analog outside of the registry of pass *names* and *types* is a mistake. The objects themselves are just objects with the new pass manager. Differential Revision: http://reviews.llvm.org/D8054 llvm-svn: 231556
2015-03-07 10:02:36 +01:00
//===- Parsing, selection, and construction of pass pipelines -------------===//
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
/// \file
///
[PM] Create a separate library for high-level pass management code. This will provide the analogous replacements for the PassManagerBuilder and other code long term. This code is extracted from the opt tool currently, and I plan to extend it as I build up support for using the new pass manager in Clang and other places. Mailing this out for review in part to let folks comment on the terrible names here. A brief word about why I chose the names I did. The library is called "Passes" to try and make it clear that it is a high-level utility and where *all* of the passes come together and are registered in a common library. I didn't want it to be *limited* to a registry though, the registry is just one component. The class is a "PassBuilder" but this name I'm less happy with. It doesn't build passes in any traditional sense and isn't a Builder-style API at all. The class is a PassRegisterer or PassAdder, but neither of those really make a lot of sense. This class is responsible for constructing passes for registry in an analysis manager or for population of a pass pipeline. If anyone has a better name, I would love to hear it. The other candidate I looked at was PassRegistrar, but that doesn't really fit either. There is no register of all the passes in use, and so I think continuing the "registry" analog outside of the registry of pass *names* and *types* is a mistake. The objects themselves are just objects with the new pass manager. Differential Revision: http://reviews.llvm.org/D8054 llvm-svn: 231556
2015-03-07 10:02:36 +01:00
/// This file provides the implementation of the PassBuilder based on our
/// static pass registry as well as related functionality. It also provides
/// helpers to aid in analyzing, debugging, and testing passes and pass
/// pipelines.
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
///
//===----------------------------------------------------------------------===//
[PM] Create a separate library for high-level pass management code. This will provide the analogous replacements for the PassManagerBuilder and other code long term. This code is extracted from the opt tool currently, and I plan to extend it as I build up support for using the new pass manager in Clang and other places. Mailing this out for review in part to let folks comment on the terrible names here. A brief word about why I chose the names I did. The library is called "Passes" to try and make it clear that it is a high-level utility and where *all* of the passes come together and are registered in a common library. I didn't want it to be *limited* to a registry though, the registry is just one component. The class is a "PassBuilder" but this name I'm less happy with. It doesn't build passes in any traditional sense and isn't a Builder-style API at all. The class is a PassRegisterer or PassAdder, but neither of those really make a lot of sense. This class is responsible for constructing passes for registry in an analysis manager or for population of a pass pipeline. If anyone has a better name, I would love to hear it. The other candidate I looked at was PassRegistrar, but that doesn't really fit either. There is no register of all the passes in use, and so I think continuing the "registry" analog outside of the registry of pass *names* and *types* is a mistake. The objects themselves are just objects with the new pass manager. Differential Revision: http://reviews.llvm.org/D8054 llvm-svn: 231556
2015-03-07 10:02:36 +01:00
#include "llvm/Passes/PassBuilder.h"
#include "llvm/ADT/StringSwitch.h"
#include "llvm/Analysis/AliasAnalysis.h"
#include "llvm/Analysis/AliasAnalysisEvaluator.h"
#include "llvm/Analysis/AssumptionCache.h"
#include "llvm/Analysis/BasicAliasAnalysis.h"
#include "llvm/Analysis/BlockFrequencyInfo.h"
#include "llvm/Analysis/BranchProbabilityInfo.h"
#include "llvm/Analysis/CFGPrinter.h"
#include "llvm/Analysis/CFLAndersAliasAnalysis.h"
#include "llvm/Analysis/CFLSteensAliasAnalysis.h"
#include "llvm/Analysis/CGSCCPassManager.h"
#include "llvm/Analysis/CallGraph.h"
#include "llvm/Analysis/DemandedBits.h"
#include "llvm/Analysis/DependenceAnalysis.h"
#include "llvm/Analysis/DominanceFrontier.h"
#include "llvm/Analysis/GlobalsModRef.h"
#include "llvm/Analysis/IVUsers.h"
[PM] Add a new "lazy" call graph analysis pass for the new pass manager. The primary motivation for this pass is to separate the call graph analysis used by the new pass manager's CGSCC pass management from the existing call graph analysis pass. That analysis pass is (somewhat unfortunately) over-constrained by the existing CallGraphSCCPassManager requirements. Those requirements make it *really* hard to cleanly layer the needed functionality for the new pass manager on top of the existing analysis. However, there are also a bunch of things that the pass manager would specifically benefit from doing differently from the existing call graph analysis, and this new implementation tries to address several of them: - Be lazy about scanning function definitions. The existing pass eagerly scans the entire module to build the initial graph. This new pass is significantly more lazy, and I plan to push this even further to maximize locality during CGSCC walks. - Don't use a single synthetic node to partition functions with an indirect call from functions whose address is taken. This node creates a huge choke-point which would preclude good parallelization across the fanout of the SCC graph when we got to the point of looking at such changes to LLVM. - Use a memory dense and lightweight representation of the call graph rather than value handles and tracking call instructions. This will require explicit update calls instead of some updates working transparently, but should end up being significantly more efficient. The explicit update calls ended up being needed in many cases for the existing call graph so we don't really lose anything. - Doesn't explicitly model SCCs and thus doesn't provide an "identity" for an SCC which is stable across updates. This is essential for the new pass manager to work correctly. - Only form the graph necessary for traversing all of the functions in an SCC friendly order. This is a much simpler graph structure and should be more memory dense. It does limit the ways in which it is appropriate to use this analysis. I wish I had a better name than "call graph". I've commented extensively this aspect. This is still very much a WIP, in fact it is really just the initial bits. But it is about the fourth version of the initial bits that I've implemented with each of the others running into really frustrating problms. This looks like it will actually work and I'd like to split the actual complexity across commits for the sake of my reviewers. =] The rest of the implementation along with lots of wiring will follow somewhat more rapidly now that there is a good path forward. Naturally, this doesn't impact any of the existing optimizer. This code is specific to the new pass manager. A bunch of thanks are deserved for the various folks that have helped with the design of this, especially Nick Lewycky who actually sat with me to go through the fundamentals of the final version here. llvm-svn: 200903
2014-02-06 05:37:03 +01:00
#include "llvm/Analysis/LazyCallGraph.h"
#include "llvm/Analysis/LazyValueInfo.h"
#include "llvm/Analysis/LoopAccessAnalysis.h"
#include "llvm/Analysis/LoopInfo.h"
#include "llvm/Analysis/MemoryDependenceAnalysis.h"
#include "llvm/Analysis/MemorySSA.h"
#include "llvm/Analysis/ModuleSummaryAnalysis.h"
#include "llvm/Analysis/OptimizationRemarkEmitter.h"
#include "llvm/Analysis/PhiValues.h"
#include "llvm/Analysis/PostDominators.h"
#include "llvm/Analysis/ProfileSummaryInfo.h"
#include "llvm/Analysis/RegionInfo.h"
[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 04:08:17 +02:00
#include "llvm/Analysis/ScalarEvolution.h"
#include "llvm/Analysis/ScalarEvolutionAliasAnalysis.h"
#include "llvm/Analysis/ScopedNoAliasAA.h"
#include "llvm/Analysis/StackSafetyAnalysis.h"
#include "llvm/Analysis/TargetLibraryInfo.h"
#include "llvm/Analysis/TargetTransformInfo.h"
#include "llvm/Analysis/TypeBasedAliasAnalysis.h"
#include "llvm/CodeGen/PreISelIntrinsicLowering.h"
#include "llvm/CodeGen/UnreachableBlockElim.h"
#include "llvm/IR/Dominators.h"
#include "llvm/IR/IRPrintingPasses.h"
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
#include "llvm/IR/PassManager.h"
#include "llvm/IR/Verifier.h"
#include "llvm/Support/Debug.h"
#include "llvm/Support/FormatVariadic.h"
#include "llvm/Support/Regex.h"
#include "llvm/Target/TargetMachine.h"
#include "llvm/Transforms/AggressiveInstCombine/AggressiveInstCombine.h"
[PM] Port the always inliner to the new pass manager in a much more minimal and boring form than the old pass manager's version. This pass does the very minimal amount of work necessary to inline functions declared as always-inline. It doesn't support a wide array of things that the legacy pass manager did support, but is alse ... about 20 lines of code. So it has that going for it. Notably things this doesn't support: - Array alloca merging - To support the above, bottom-up inlining with careful history tracking and call graph updates - DCE of the functions that become dead after this inlining. - Inlining through call instructions with the always_inline attribute. Instead, it focuses on inlining functions with that attribute. The first I've omitted because I'm hoping to just turn it off for the primary pass manager. If that doesn't pan out, I can add it here but it will be reasonably expensive to do so. The second should really be handled by running global-dce after the inliner. I don't want to re-implement the non-trivial logic necessary to do comdat-correct DCE of functions. This means the -O0 pipeline will have to be at least 'always-inline,global-dce', but that seems reasonable to me. If others are seriously worried about this I'd like to hear about it and understand why. Again, this is all solveable by factoring that logic into a utility and calling it here, but I'd like to wait to do that until there is a clear reason why the existing pass-based factoring won't work. The final point is a serious one. I can fairly easily add support for this, but it seems both costly and a confusing construct for the use case of the always inliner running at -O0. This attribute can of course still impact the normal inliner easily (although I find that a questionable re-use of the same attribute). I've started a discussion to sort out what semantics we want here and based on that can figure out if it makes sense ta have this complexity at O0 or not. One other advantage of this design is that it should be quite a bit faster due to checking for whether the function is a viable candidate for inlining exactly once per function instead of doing it for each call site. Anyways, hopefully a reasonable starting point for this pass. Differential Revision: https://reviews.llvm.org/D23299 llvm-svn: 278896
2016-08-17 04:56:20 +02:00
#include "llvm/Transforms/IPO/AlwaysInliner.h"
#include "llvm/Transforms/IPO/ArgumentPromotion.h"
#include "llvm/Transforms/IPO/CalledValuePropagation.h"
#include "llvm/Transforms/IPO/ConstantMerge.h"
#include "llvm/Transforms/IPO/CrossDSOCFI.h"
#include "llvm/Transforms/IPO/DeadArgumentElimination.h"
#include "llvm/Transforms/IPO/ElimAvailExtern.h"
#include "llvm/Transforms/IPO/ForceFunctionAttrs.h"
#include "llvm/Transforms/IPO/FunctionAttrs.h"
#include "llvm/Transforms/IPO/FunctionImport.h"
#include "llvm/Transforms/IPO/GlobalDCE.h"
#include "llvm/Transforms/IPO/GlobalOpt.h"
#include "llvm/Transforms/IPO/GlobalSplit.h"
#include "llvm/Transforms/IPO/HotColdSplitting.h"
#include "llvm/Transforms/IPO/InferFunctionAttrs.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 04:15:32 +01:00
#include "llvm/Transforms/IPO/Inliner.h"
#include "llvm/Transforms/IPO/Internalize.h"
#include "llvm/Transforms/IPO/LowerTypeTests.h"
#include "llvm/Transforms/IPO/PartialInlining.h"
#include "llvm/Transforms/IPO/SCCP.h"
#include "llvm/Transforms/IPO/SampleProfile.h"
#include "llvm/Transforms/IPO/StripDeadPrototypes.h"
#include "llvm/Transforms/IPO/SyntheticCountsPropagation.h"
#include "llvm/Transforms/IPO/WholeProgramDevirt.h"
#include "llvm/Transforms/InstCombine/InstCombine.h"
#include "llvm/Transforms/Instrumentation/BoundsChecking.h"
#include "llvm/Transforms/Instrumentation/CGProfile.h"
#include "llvm/Transforms/Instrumentation/ControlHeightReduction.h"
#include "llvm/Transforms/Instrumentation/GCOVProfiler.h"
#include "llvm/Transforms/Instrumentation/InstrProfiling.h"
#include "llvm/Transforms/Instrumentation/PGOInstrumentation.h"
#include "llvm/Transforms/Scalar/ADCE.h"
#include "llvm/Transforms/Scalar/AlignmentFromAssumptions.h"
#include "llvm/Transforms/Scalar/BDCE.h"
#include "llvm/Transforms/Scalar/CallSiteSplitting.h"
2016-07-18 18:29:17 +02:00
#include "llvm/Transforms/Scalar/ConstantHoisting.h"
#include "llvm/Transforms/Scalar/CorrelatedValuePropagation.h"
#include "llvm/Transforms/Scalar/DCE.h"
#include "llvm/Transforms/Scalar/DeadStoreElimination.h"
#include "llvm/Transforms/Scalar/DivRemPairs.h"
#include "llvm/Transforms/Scalar/EarlyCSE.h"
#include "llvm/Transforms/Scalar/Float2Int.h"
#include "llvm/Transforms/Scalar/GVN.h"
#include "llvm/Transforms/Scalar/GuardWidening.h"
#include "llvm/Transforms/Scalar/IVUsersPrinter.h"
#include "llvm/Transforms/Scalar/IndVarSimplify.h"
#include "llvm/Transforms/Scalar/InductiveRangeCheckElimination.h"
#include "llvm/Transforms/Scalar/InstSimplifyPass.h"
#include "llvm/Transforms/Scalar/JumpThreading.h"
#include "llvm/Transforms/Scalar/LICM.h"
#include "llvm/Transforms/Scalar/LoopAccessAnalysisPrinter.h"
#include "llvm/Transforms/Scalar/LoopDataPrefetch.h"
#include "llvm/Transforms/Scalar/LoopDeletion.h"
#include "llvm/Transforms/Scalar/LoopDistribute.h"
#include "llvm/Transforms/Scalar/LoopIdiomRecognize.h"
#include "llvm/Transforms/Scalar/LoopInstSimplify.h"
#include "llvm/Transforms/Scalar/LoopLoadElimination.h"
#include "llvm/Transforms/Scalar/LoopPassManager.h"
#include "llvm/Transforms/Scalar/LoopPredication.h"
#include "llvm/Transforms/Scalar/LoopRotation.h"
#include "llvm/Transforms/Scalar/LoopSimplifyCFG.h"
#include "llvm/Transforms/Scalar/LoopSink.h"
#include "llvm/Transforms/Scalar/LoopStrengthReduce.h"
#include "llvm/Transforms/Scalar/LoopUnrollAndJamPass.h"
#include "llvm/Transforms/Scalar/LoopUnrollPass.h"
#include "llvm/Transforms/Scalar/LowerAtomic.h"
#include "llvm/Transforms/Scalar/LowerExpectIntrinsic.h"
#include "llvm/Transforms/Scalar/LowerGuardIntrinsic.h"
Introduce llvm.experimental.widenable_condition intrinsic This patch introduces a new instinsic `@llvm.experimental.widenable_condition` that allows explicit representation for guards. It is an alternative to using `@llvm.experimental.guard` intrinsic that does not contain implicit control flow. We keep finding places where `@llvm.experimental.guard` is not supported or treated too conservatively, and there are 2 reasons to that: - `@llvm.experimental.guard` has memory write side effect to model implicit control flow, and this sometimes confuses passes and analyzes that work with memory; - Not all passes and analysis are aware of the semantics of guards. These passes treat them as regular throwing call and have no idea that the condition of guard may be used to prove something. One well-known place which had caused us troubles in the past is explicit loop iteration count calculation in SCEV. Another example is new loop unswitching which is not aware of guards. Whenever a new pass appears, we potentially have this problem there. Rather than go and fix all these places (and commit to keep track of them and add support in future), it seems more reasonable to leverage the existing optimizer's logic as much as possible. The only significant difference between guards and regular explicit branches is that guard's condition can be widened. It means that a guard contains (explicitly or implicitly) a `deopt` block successor, and it is always legal to go there no matter what the guard condition is. The other successor is a guarded block, and it is only legal to go there if the condition is true. This patch introduces a new explicit form of guards alternative to `@llvm.experimental.guard` intrinsic. Now a widenable guard can be represented in the CFG explicitly like this: %widenable_condition = call i1 @llvm.experimental.widenable.condition() %new_condition = and i1 %cond, %widenable_condition br i1 %new_condition, label %guarded, label %deopt guarded: ; Guarded instructions deopt: call type @llvm.experimental.deoptimize(<args...>) [ "deopt"(<deopt_args...>) ] The new intrinsic `@llvm.experimental.widenable.condition` has semantics of an `undef`, but the intrinsic prevents the optimizer from folding it early. This form should exploit all optimization boons provided to `br` instuction, and it still can be widened by replacing the result of `@llvm.experimental.widenable.condition()` with `and` with any arbitrary boolean value (as long as the branch that is taken when it is `false` has a deopt and has no side-effects). For more motivation, please check llvm-dev discussion "[llvm-dev] Giving up using implicit control flow in guards". This patch introduces this new intrinsic with respective LangRef changes and a pass that converts old-style guards (expressed as intrinsics) into the new form. The naming discussion is still ungoing. Merging this to unblock further items. We can later change the name of this intrinsic. Reviewed By: reames, fedor.sergeev, sanjoy Differential Revision: https://reviews.llvm.org/D51207 llvm-svn: 348593
2018-12-07 15:39:46 +01:00
#include "llvm/Transforms/Scalar/MakeGuardsExplicit.h"
#include "llvm/Transforms/Scalar/MemCpyOptimizer.h"
#include "llvm/Transforms/Scalar/MergedLoadStoreMotion.h"
#include "llvm/Transforms/Scalar/NaryReassociate.h"
#include "llvm/Transforms/Scalar/NewGVN.h"
#include "llvm/Transforms/Scalar/PartiallyInlineLibCalls.h"
#include "llvm/Transforms/Scalar/Reassociate.h"
#include "llvm/Transforms/Scalar/RewriteStatepointsForGC.h"
#include "llvm/Transforms/Scalar/SCCP.h"
[PM] Port SROA to the new pass manager. In some ways this is a very boring port to the new pass manager as there are no interesting analyses or dependencies or other oddities. However, this does introduce the first good example of a transformation pass with non-trivial state porting to the new pass manager. I've tried to carve out patterns here to replicate elsewhere, and would appreciate comments on whether folks like these patterns: - A common need in the new pass manager is to effectively lift the pass class and some of its state into a public header file. Prior to this, LLVM used anonymous namespaces to provide "module private" types and utilities, but that doesn't scale to cases where a public header file is needed and the new pass manager will exacerbate that. The pattern I've adopted here is to use the namespace-cased-name of the core pass (what would be a module if we had them) as a module-private namespace. Then utility and other code can be declared and defined in this namespace. At some point in the future, we could even have (conditionally compiled) code that used modules features when available to do the same basic thing. - I've split the actual pass run method in two in order to expose a private method usable by the old pass manager to wrap the new class with a minimum of duplicated code. I actually looked at a bunch of ways to automate or generate these, but they are all quite terrible IMO. The fundamental need is to extract the set of analyses which need to cross this interface boundary, and that will end up being too unpredictable to effectively encapsulate IMO. This is also a relatively small amount of boiler plate that will live a relatively short time, so I'm not too worried about the fact that it is boiler plate. The rest of the patch is totally boring but results in a massive diff (sorry). It just moves code around and removes or adds qualifiers to reflect the new name and nesting structure. Differential Revision: http://reviews.llvm.org/D12773 llvm-svn: 247501
2015-09-12 11:09:14 +02:00
#include "llvm/Transforms/Scalar/SROA.h"
#include "llvm/Transforms/Scalar/Scalarizer.h"
[PM/LoopUnswitch] Introduce a new, simpler loop unswitch pass. Currently, this pass only focuses on *trivial* loop unswitching. At that reduced problem it remains significantly better than the current loop unswitch: - Old pass is worse than cubic complexity. New pass is (I think) linear. - New pass is much simpler in its design by focusing on full unswitching. (See below for details on this). - New pass doesn't carry state for thresholds between pass iterations. - New pass doesn't carry state for correctness (both miscompile and infloop) between pass iterations. - New pass produces substantially better code after unswitching. - New pass can handle more trivial unswitch cases. - New pass doesn't recompute the dominator tree for the entire function and instead incrementally updates it. I've ported all of the trivial unswitching test cases from the old pass to the new one to make sure that major functionality isn't lost in the process. For several of the test cases I've worked to improve the precision and rigor of the CHECKs, but for many I've just updated them to handle the new IR produced. My initial motivation was the fact that the old pass carried state in very unreliable ways between pass iterations, and these mechansims were incompatible with the new pass manager. However, I discovered many more improvements to make along the way. This pass makes two very significant assumptions that enable most of these improvements: 1) Focus on *full* unswitching -- that is, completely removing whatever control flow construct is being unswitched from the loop. In the case of trivial unswitching, this means removing the trivial (exiting) edge. In non-trivial unswitching, this means removing the branch or switch itself. This is in opposition to *partial* unswitching where some part of the unswitched control flow remains in the loop. Partial unswitching only really applies to switches and to folded branches. These are very similar to full unrolling and partial unrolling. The full form is an effective canonicalization, the partial form needs a complex cost model, cannot be iterated, isn't canonicalizing, and should be a separate pass that runs very late (much like unrolling). 2) Leverage LLVM's Loop machinery to the fullest. The original unswitch dates from a time when a great deal of LLVM's loop infrastructure was missing, ineffective, and/or unreliable. As a consequence, a lot of complexity was added which we no longer need. With these two overarching principles, I think we can build a fast and effective unswitcher that fits in well in the new PM and in the canonicalization pipeline. Some of the remaining functionality around partial unswitching may not be relevant today (not many test cases or benchmarks I can find) but if they are I'd like to add support for them as a separate layer that runs very late in the pipeline. Purely to make reviewing and introducing this code more manageable, I've split this into first a trivial-unswitch-only pass and in the next patch I'll add support for full non-trivial unswitching against a *fixed* threshold, exactly like full unrolling. I even plan to re-use the unrolling thresholds, as these are incredibly similar cost tradeoffs: we're cloning a loop body in order to end up with simplified control flow. We should only do that when the total growth is reasonably small. One of the biggest changes with this pass compared to the previous one is that previously, each individual trivial exiting edge from a switch was unswitched separately as a branch. Now, we unswitch the entire switch at once, with cases going to the various destinations. This lets us unswitch multiple exiting edges in a single operation and also avoids numerous extremely bad behaviors, where we would introduce 1000s of branches to test for thousands of possible values, all of which would take the exact same exit path bypassing the loop. Now we will use a switch with 1000s of cases that can be efficiently lowered into a jumptable. This avoids relying on somehow forming a switch out of the branches or getting horrible code if that fails for any reason. Another significant change is that this pass actively updates the CFG based on unswitching. For trivial unswitching, this is actually very easy because of the definition of loop simplified form. Doing this makes the code coming out of loop unswitch dramatically more friendly. We still should run loop-simplifycfg (at the least) after this to clean up, but it will have to do a lot less work. Finally, this pass makes much fewer attempts to simplify instructions based on the unswitch. Something like loop-instsimplify, instcombine, or GVN can be used to do increasingly powerful simplifications based on the now dominating predicate. The old simplifications are things that something like loop-instsimplify should get today or a very, very basic loop-instcombine could get. Keeping that logic separate is a big simplifying technique. Most of the code in this pass that isn't in the old one has to do with achieving specific goals: - Updating the dominator tree as we go - Unswitching all cases in a switch in a single step. I think it is still shorter than just the trivial unswitching code in the old pass despite having this functionality. Differential Revision: https://reviews.llvm.org/D32409 llvm-svn: 301576
2017-04-27 20:45:20 +02:00
#include "llvm/Transforms/Scalar/SimpleLoopUnswitch.h"
#include "llvm/Transforms/Scalar/SimplifyCFG.h"
#include "llvm/Transforms/Scalar/Sink.h"
Add a new pass to speculate around PHI nodes with constant (integer) operands when profitable. The core idea is to (re-)introduce some redundancies where their cost is hidden by the cost of materializing immediates for constant operands of PHI nodes. When the cost of the redundancies is covered by this, avoiding materializing the immediate has numerous benefits: 1) Less register pressure 2) Potential for further folding / combining 3) Potential for more efficient instructions due to immediate operand As a motivating example, consider the remarkably different cost on x86 of a SHL instruction with an immediate operand versus a register operand. This pattern turns up surprisingly frequently, but is somewhat rarely obvious as a significant performance problem. The pass is entirely target independent, but it does rely on the target cost model in TTI to decide when to speculate things around the PHI node. I've included x86-focused tests, but any target that sets up its immediate cost model should benefit from this pass. There is probably more that can be done in this space, but the pass as-is is enough to get some important performance on our internal benchmarks, and should be generally performance neutral, but help with more extensive benchmarking is always welcome. One awkward part is that this pass has to be scheduled after *everything* that can eliminate these kinds of redundancies. This includes SimplifyCFG, GVN, etc. I'm open to suggestions about better places to put this. We could in theory make it part of the codegen pass pipeline, but there doesn't really seem to be a good reason for that -- it isn't "lowering" in any sense and only relies on pretty standard cost model based TTI queries, so it seems to fit well with the "optimization" pipeline model. Still, further thoughts on the pipeline position are welcome. I've also only implemented this in the new pass manager. If folks are very interested, I can try to add it to the old PM as well, but I didn't really see much point (my use case is already switched over to the new PM). I've tested this pretty heavily without issue. A wide range of benchmarks internally show no change outside the noise, and I don't see any significant changes in SPEC either. However, the size class computation in tcmalloc is substantially improved by this, which turns into a 2% to 4% win on the hottest path through tcmalloc for us, so there are definitely important cases where this is going to make a substantial difference. Differential revision: https://reviews.llvm.org/D37467 llvm-svn: 319164
2017-11-28 12:32:31 +01:00
#include "llvm/Transforms/Scalar/SpeculateAroundPHIs.h"
#include "llvm/Transforms/Scalar/SpeculativeExecution.h"
#include "llvm/Transforms/Scalar/TailRecursionElimination.h"
[Unroll/UnrollAndJam/Vectorizer/Distribute] Add followup loop attributes. When multiple loop transformation are defined in a loop's metadata, their order of execution is defined by the order of their respective passes in the pass pipeline. For instance, e.g. #pragma clang loop unroll_and_jam(enable) #pragma clang loop distribute(enable) is the same as #pragma clang loop distribute(enable) #pragma clang loop unroll_and_jam(enable) and will try to loop-distribute before Unroll-And-Jam because the LoopDistribute pass is scheduled after UnrollAndJam pass. UnrollAndJamPass only supports one inner loop, i.e. it will necessarily fail after loop distribution. It is not possible to specify another execution order. Also,t the order of passes in the pipeline is subject to change between versions of LLVM, optimization options and which pass manager is used. This patch adds 'followup' attributes to various loop transformation passes. These attributes define which attributes the resulting loop of a transformation should have. For instance, !0 = !{!0, !1, !2} !1 = !{!"llvm.loop.unroll_and_jam.enable"} !2 = !{!"llvm.loop.unroll_and_jam.followup_inner", !3} !3 = !{!"llvm.loop.distribute.enable"} defines a loop ID (!0) to be unrolled-and-jammed (!1) and then the attribute !3 to be added to the jammed inner loop, which contains the instruction to distribute the inner loop. Currently, in both pass managers, pass execution is in a fixed order and UnrollAndJamPass will not execute again after LoopDistribute. We hope to fix this in the future by allowing pass managers to run passes until a fixpoint is reached, use Polly to perform these transformations, or add a loop transformation pass which takes the order issue into account. For mandatory/forced transformations (e.g. by having been declared by #pragma omp simd), the user must be notified when a transformation could not be performed. It is not possible that the responsible pass emits such a warning because the transformation might be 'hidden' in a followup attribute when it is executed, or it is not present in the pipeline at all. For this reason, this patche introduces a WarnMissedTransformations pass, to warn about orphaned transformations. Since this changes the user-visible diagnostic message when a transformation is applied, two test cases in the clang repository need to be updated. To ensure that no other transformation is executed before the intended one, the attribute `llvm.loop.disable_nonforced` can be added which should disable transformation heuristics before the intended transformation is applied. E.g. it would be surprising if a loop is distributed before a #pragma unroll_and_jam is applied. With more supported code transformations (loop fusion, interchange, stripmining, offloading, etc.), transformations can be used as building blocks for more complex transformations (e.g. stripmining+stripmining+interchange -> tiling). Reviewed By: hfinkel, dmgreen Differential Revision: https://reviews.llvm.org/D49281 Differential Revision: https://reviews.llvm.org/D55288 llvm-svn: 348944
2018-12-12 18:32:52 +01:00
#include "llvm/Transforms/Scalar/WarnMissedTransforms.h"
#include "llvm/Transforms/Utils/AddDiscriminators.h"
#include "llvm/Transforms/Utils/BreakCriticalEdges.h"
#include "llvm/Transforms/Utils/EntryExitInstrumenter.h"
#include "llvm/Transforms/Utils/LCSSA.h"
#include "llvm/Transforms/Utils/LibCallsShrinkWrap.h"
#include "llvm/Transforms/Utils/LoopSimplify.h"
#include "llvm/Transforms/Utils/LowerInvoke.h"
#include "llvm/Transforms/Utils/Mem2Reg.h"
#include "llvm/Transforms/Utils/NameAnonGlobals.h"
#include "llvm/Transforms/Utils/SymbolRewriter.h"
#include "llvm/Transforms/Vectorize/LoadStoreVectorizer.h"
#include "llvm/Transforms/Vectorize/LoopVectorize.h"
#include "llvm/Transforms/Vectorize/SLPVectorizer.h"
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
using namespace llvm;
static cl::opt<unsigned> MaxDevirtIterations("pm-max-devirt-iterations",
cl::ReallyHidden, cl::init(4));
static cl::opt<bool>
RunPartialInlining("enable-npm-partial-inlining", cl::init(false),
cl::Hidden, cl::ZeroOrMore,
cl::desc("Run Partial inlinining pass"));
static cl::opt<bool>
RunNewGVN("enable-npm-newgvn", cl::init(false),
cl::Hidden, cl::ZeroOrMore,
cl::desc("Run NewGVN instead of GVN"));
static cl::opt<bool> EnableEarlyCSEMemSSA(
"enable-npm-earlycse-memssa", cl::init(true), cl::Hidden,
cl::desc("Enable the EarlyCSE w/ MemorySSA pass for the new PM (default = on)"));
static cl::opt<bool> EnableGVNHoist(
"enable-npm-gvn-hoist", cl::init(false), cl::Hidden,
cl::desc("Enable the GVN hoisting pass for the new PM (default = off)"));
static cl::opt<bool> EnableGVNSink(
"enable-npm-gvn-sink", cl::init(false), cl::Hidden,
cl::desc("Enable the GVN hoisting pass for the new PM (default = off)"));
static cl::opt<bool> EnableUnrollAndJam(
"enable-npm-unroll-and-jam", cl::init(false), cl::Hidden,
cl::desc("Enable the Unroll and Jam pass for the new PM (default = off)"));
static cl::opt<bool> EnableSyntheticCounts(
"enable-npm-synthetic-counts", cl::init(false), cl::Hidden, cl::ZeroOrMore,
cl::desc("Run synthetic function entry count generation "
"pass"));
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
static Regex DefaultAliasRegex(
"^(default|thinlto-pre-link|thinlto|lto-pre-link|lto)<(O[0123sz])>$");
static cl::opt<bool>
EnableCHR("enable-chr-npm", cl::init(true), cl::Hidden,
cl::desc("Enable control height reduction optimization (CHR)"));
extern cl::opt<bool> EnableHotColdSplit;
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
static bool isOptimizingForSize(PassBuilder::OptimizationLevel Level) {
switch (Level) {
case PassBuilder::O0:
case PassBuilder::O1:
case PassBuilder::O2:
case PassBuilder::O3:
return false;
case PassBuilder::Os:
case PassBuilder::Oz:
return true;
}
llvm_unreachable("Invalid optimization level!");
}
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
namespace {
/// No-op module pass which does nothing.
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
struct NoOpModulePass {
PreservedAnalyses run(Module &M, ModuleAnalysisManager &) {
return PreservedAnalyses::all();
}
static StringRef name() { return "NoOpModulePass"; }
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
};
/// No-op module analysis.
class NoOpModuleAnalysis : public AnalysisInfoMixin<NoOpModuleAnalysis> {
friend AnalysisInfoMixin<NoOpModuleAnalysis>;
[PM] Change the static object whose address is used to uniquely identify analyses to have a common type which is enforced rather than using a char object and a `void *` type when used as an identifier. This has a number of advantages. First, it at least helps some of the confusion raised in Justin Lebar's code review of why `void *` was being used everywhere by having a stronger type that connects to documentation about this. However, perhaps more importantly, it addresses a serious issue where the alignment of these pointer-like identifiers was unknown. This made it hard to use them in pointer-like data structures. We were already dodging this in dangerous ways to create the "all analyses" entry. In a subsequent patch I attempted to use these with TinyPtrVector and things fell apart in a very bad way. And it isn't just a compile time or type system issue. Worse than that, the actual alignment of these pointer-like opaque identifiers wasn't guaranteed to be a useful alignment as they were just characters. This change introduces a type to use as the "key" object whose address forms the opaque identifier. This both forces the objects to have proper alignment, and provides type checking that we get it right everywhere. It also makes the types somewhat less mysterious than `void *`. We could go one step further and introduce a truly opaque pointer-like type to return from the `ID()` static function rather than returning `AnalysisKey *`, but that didn't seem to be a clear win so this is just the initial change to get to a reliably typed and aligned object serving is a key for all the analyses. Thanks to Richard Smith and Justin Lebar for helping pick plausible names and avoid making this refactoring many times. =] And thanks to Sean for the super fast review! While here, I've tried to move away from the "PassID" nomenclature entirely as it wasn't really helping and is overloaded with old pass manager constructs. Now we have IDs for analyses, and key objects whose address can be used as IDs. Where possible and clear I've shortened this to just "ID". In a few places I kept "AnalysisID" to make it clear what was being identified. Differential Revision: https://reviews.llvm.org/D27031 llvm-svn: 287783
2016-11-23 18:53:26 +01:00
static AnalysisKey Key;
public:
struct Result {};
Result run(Module &, ModuleAnalysisManager &) { return Result(); }
static StringRef name() { return "NoOpModuleAnalysis"; }
};
/// No-op CGSCC pass which does nothing.
struct NoOpCGSCCPass {
[PM] Introduce basic update capabilities to the new PM's CGSCC pass manager, including both plumbing and logic to handle function pass updates. There are three fundamentally tied changes here: 1) Plumbing *some* mechanism for updating the CGSCC pass manager as the CG changes while passes are running. 2) Changing the CGSCC pass manager infrastructure to have support for the underlying graph to mutate mid-pass run. 3) Actually updating the CG after function passes run. I can separate them if necessary, but I think its really useful to have them together as the needs of #3 drove #2, and that in turn drove #1. The plumbing technique is to extend the "run" method signature with extra arguments. We provide the call graph that intrinsically is available as it is the basis of the pass manager's IR units, and an output parameter that records the results of updating the call graph during an SCC passes's run. Note that "...UpdateResult" isn't a *great* name here... suggestions very welcome. I tried a pretty frustrating number of different data structures and such for the innards of the update result. Every other one failed for one reason or another. Sometimes I just couldn't keep the layers of complexity right in my head. The thing that really worked was to just directly provide access to the underlying structures used to walk the call graph so that their updates could be informed by the *particular* nature of the change to the graph. The technique for how to make the pass management infrastructure cope with mutating graphs was also something that took a really, really large number of iterations to get to a place where I was happy. Here are some of the considerations that drove the design: - We operate at three levels within the infrastructure: RefSCC, SCC, and Node. In each case, we are working bottom up and so we want to continue to iterate on the "lowest" node as the graph changes. Look at how we iterate over nodes in an SCC running function passes as those function passes mutate the CG. We continue to iterate on the "lowest" SCC, which is the one that continues to contain the function just processed. - The call graph structure re-uses SCCs (and RefSCCs) during mutation events for the *highest* entry in the resulting new subgraph, not the lowest. This means that it is necessary to continually update the current SCC or RefSCC as it shifts. This is really surprising and subtle, and took a long time for me to work out. I actually tried changing the call graph to provide the opposite behavior, and it breaks *EVERYTHING*. The graph update algorithms are really deeply tied to this particualr pattern. - When SCCs or RefSCCs are split apart and refined and we continually re-pin our processing to the bottom one in the subgraph, we need to enqueue the newly formed SCCs and RefSCCs for subsequent processing. Queuing them presents a few challenges: 1) SCCs and RefSCCs use wildly different iteration strategies at a high level. We end up needing to converge them on worklist approaches that can be extended in order to be able to handle the mutations. 2) The order of the enqueuing need to remain bottom-up post-order so that we don't get surprising order of visitation for things like the inliner. 3) We need the worklists to have set semantics so we don't duplicate things endlessly. We don't need a *persistent* set though because we always keep processing the bottom node!!!! This is super, super surprising to me and took a long time to convince myself this is correct, but I'm pretty sure it is... Once we sink down to the bottom node, we can't re-split out the same node in any way, and the postorder of the current queue is fixed and unchanging. 4) We need to make sure that the "current" SCC or RefSCC actually gets enqueued here such that we re-visit it because we continue processing a *new*, *bottom* SCC/RefSCC. - We also need the ability to *skip* SCCs and RefSCCs that get merged into a larger component. We even need the ability to skip *nodes* from an SCC that are no longer part of that SCC. This led to the design you see in the patch which uses SetVector-based worklists. The RefSCC worklist is always empty until an update occurs and is just used to handle those RefSCCs created by updates as the others don't even exist yet and are formed on-demand during the bottom-up walk. The SCC worklist is pre-populated from the RefSCC, and we push new SCCs onto it and blacklist existing SCCs on it to get the desired processing. We then *directly* update these when updating the call graph as I was never able to find a satisfactory abstraction around the update strategy. Finally, we need to compute the updates for function passes. This is mostly used as an initial customer of all the update mechanisms to drive their design to at least cover some real set of use cases. There are a bunch of interesting things that came out of doing this: - It is really nice to do this a function at a time because that function is likely hot in the cache. This means we want even the function pass adaptor to support online updates to the call graph! - To update the call graph after arbitrary function pass mutations is quite hard. We have to build a fairly comprehensive set of data structures and then process them. Fortunately, some of this code is related to the code for building the cal graph in the first place. Unfortunately, very little of it makes any sense to share because the nature of what we're doing is so very different. I've factored out the one part that made sense at least. - We need to transfer these updates into the various structures for the CGSCC pass manager. Once those were more sanely worked out, this became relatively easier. But some of those needs necessitated changes to the LazyCallGraph interface to make it significantly easier to extract the changed SCCs from an update operation. - We also need to update the CGSCC analysis manager as the shape of the graph changes. When an SCC is merged away we need to clear analyses associated with it from the analysis manager which we didn't have support for in the analysis manager infrsatructure. New SCCs are easy! But then we have the case that the original SCC has its shape changed but remains in the call graph. There we need to *invalidate* the analyses associated with it. - We also need to invalidate analyses after we *finish* processing an SCC. But the analyses we need to invalidate here are *only those for the newly updated SCC*!!! Because we only continue processing the bottom SCC, if we split SCCs apart the original one gets invalidated once when its shape changes and is not processed farther so its analyses will be correct. It is the bottom SCC which continues being processed and needs to have the "normal" invalidation done based on the preserved analyses set. All of this is mostly background and context for the changes here. Many thanks to all the reviewers who helped here. Especially Sanjoy who caught several interesting bugs in the graph algorithms, David, Sean, and others who all helped with feedback. Differential Revision: http://reviews.llvm.org/D21464 llvm-svn: 279618
2016-08-24 11:37:14 +02:00
PreservedAnalyses run(LazyCallGraph::SCC &C, CGSCCAnalysisManager &,
LazyCallGraph &, CGSCCUpdateResult &UR) {
return PreservedAnalyses::all();
}
static StringRef name() { return "NoOpCGSCCPass"; }
};
/// No-op CGSCC analysis.
class NoOpCGSCCAnalysis : public AnalysisInfoMixin<NoOpCGSCCAnalysis> {
friend AnalysisInfoMixin<NoOpCGSCCAnalysis>;
[PM] Change the static object whose address is used to uniquely identify analyses to have a common type which is enforced rather than using a char object and a `void *` type when used as an identifier. This has a number of advantages. First, it at least helps some of the confusion raised in Justin Lebar's code review of why `void *` was being used everywhere by having a stronger type that connects to documentation about this. However, perhaps more importantly, it addresses a serious issue where the alignment of these pointer-like identifiers was unknown. This made it hard to use them in pointer-like data structures. We were already dodging this in dangerous ways to create the "all analyses" entry. In a subsequent patch I attempted to use these with TinyPtrVector and things fell apart in a very bad way. And it isn't just a compile time or type system issue. Worse than that, the actual alignment of these pointer-like opaque identifiers wasn't guaranteed to be a useful alignment as they were just characters. This change introduces a type to use as the "key" object whose address forms the opaque identifier. This both forces the objects to have proper alignment, and provides type checking that we get it right everywhere. It also makes the types somewhat less mysterious than `void *`. We could go one step further and introduce a truly opaque pointer-like type to return from the `ID()` static function rather than returning `AnalysisKey *`, but that didn't seem to be a clear win so this is just the initial change to get to a reliably typed and aligned object serving is a key for all the analyses. Thanks to Richard Smith and Justin Lebar for helping pick plausible names and avoid making this refactoring many times. =] And thanks to Sean for the super fast review! While here, I've tried to move away from the "PassID" nomenclature entirely as it wasn't really helping and is overloaded with old pass manager constructs. Now we have IDs for analyses, and key objects whose address can be used as IDs. Where possible and clear I've shortened this to just "ID". In a few places I kept "AnalysisID" to make it clear what was being identified. Differential Revision: https://reviews.llvm.org/D27031 llvm-svn: 287783
2016-11-23 18:53:26 +01:00
static AnalysisKey Key;
public:
struct Result {};
[PM] Introduce basic update capabilities to the new PM's CGSCC pass manager, including both plumbing and logic to handle function pass updates. There are three fundamentally tied changes here: 1) Plumbing *some* mechanism for updating the CGSCC pass manager as the CG changes while passes are running. 2) Changing the CGSCC pass manager infrastructure to have support for the underlying graph to mutate mid-pass run. 3) Actually updating the CG after function passes run. I can separate them if necessary, but I think its really useful to have them together as the needs of #3 drove #2, and that in turn drove #1. The plumbing technique is to extend the "run" method signature with extra arguments. We provide the call graph that intrinsically is available as it is the basis of the pass manager's IR units, and an output parameter that records the results of updating the call graph during an SCC passes's run. Note that "...UpdateResult" isn't a *great* name here... suggestions very welcome. I tried a pretty frustrating number of different data structures and such for the innards of the update result. Every other one failed for one reason or another. Sometimes I just couldn't keep the layers of complexity right in my head. The thing that really worked was to just directly provide access to the underlying structures used to walk the call graph so that their updates could be informed by the *particular* nature of the change to the graph. The technique for how to make the pass management infrastructure cope with mutating graphs was also something that took a really, really large number of iterations to get to a place where I was happy. Here are some of the considerations that drove the design: - We operate at three levels within the infrastructure: RefSCC, SCC, and Node. In each case, we are working bottom up and so we want to continue to iterate on the "lowest" node as the graph changes. Look at how we iterate over nodes in an SCC running function passes as those function passes mutate the CG. We continue to iterate on the "lowest" SCC, which is the one that continues to contain the function just processed. - The call graph structure re-uses SCCs (and RefSCCs) during mutation events for the *highest* entry in the resulting new subgraph, not the lowest. This means that it is necessary to continually update the current SCC or RefSCC as it shifts. This is really surprising and subtle, and took a long time for me to work out. I actually tried changing the call graph to provide the opposite behavior, and it breaks *EVERYTHING*. The graph update algorithms are really deeply tied to this particualr pattern. - When SCCs or RefSCCs are split apart and refined and we continually re-pin our processing to the bottom one in the subgraph, we need to enqueue the newly formed SCCs and RefSCCs for subsequent processing. Queuing them presents a few challenges: 1) SCCs and RefSCCs use wildly different iteration strategies at a high level. We end up needing to converge them on worklist approaches that can be extended in order to be able to handle the mutations. 2) The order of the enqueuing need to remain bottom-up post-order so that we don't get surprising order of visitation for things like the inliner. 3) We need the worklists to have set semantics so we don't duplicate things endlessly. We don't need a *persistent* set though because we always keep processing the bottom node!!!! This is super, super surprising to me and took a long time to convince myself this is correct, but I'm pretty sure it is... Once we sink down to the bottom node, we can't re-split out the same node in any way, and the postorder of the current queue is fixed and unchanging. 4) We need to make sure that the "current" SCC or RefSCC actually gets enqueued here such that we re-visit it because we continue processing a *new*, *bottom* SCC/RefSCC. - We also need the ability to *skip* SCCs and RefSCCs that get merged into a larger component. We even need the ability to skip *nodes* from an SCC that are no longer part of that SCC. This led to the design you see in the patch which uses SetVector-based worklists. The RefSCC worklist is always empty until an update occurs and is just used to handle those RefSCCs created by updates as the others don't even exist yet and are formed on-demand during the bottom-up walk. The SCC worklist is pre-populated from the RefSCC, and we push new SCCs onto it and blacklist existing SCCs on it to get the desired processing. We then *directly* update these when updating the call graph as I was never able to find a satisfactory abstraction around the update strategy. Finally, we need to compute the updates for function passes. This is mostly used as an initial customer of all the update mechanisms to drive their design to at least cover some real set of use cases. There are a bunch of interesting things that came out of doing this: - It is really nice to do this a function at a time because that function is likely hot in the cache. This means we want even the function pass adaptor to support online updates to the call graph! - To update the call graph after arbitrary function pass mutations is quite hard. We have to build a fairly comprehensive set of data structures and then process them. Fortunately, some of this code is related to the code for building the cal graph in the first place. Unfortunately, very little of it makes any sense to share because the nature of what we're doing is so very different. I've factored out the one part that made sense at least. - We need to transfer these updates into the various structures for the CGSCC pass manager. Once those were more sanely worked out, this became relatively easier. But some of those needs necessitated changes to the LazyCallGraph interface to make it significantly easier to extract the changed SCCs from an update operation. - We also need to update the CGSCC analysis manager as the shape of the graph changes. When an SCC is merged away we need to clear analyses associated with it from the analysis manager which we didn't have support for in the analysis manager infrsatructure. New SCCs are easy! But then we have the case that the original SCC has its shape changed but remains in the call graph. There we need to *invalidate* the analyses associated with it. - We also need to invalidate analyses after we *finish* processing an SCC. But the analyses we need to invalidate here are *only those for the newly updated SCC*!!! Because we only continue processing the bottom SCC, if we split SCCs apart the original one gets invalidated once when its shape changes and is not processed farther so its analyses will be correct. It is the bottom SCC which continues being processed and needs to have the "normal" invalidation done based on the preserved analyses set. All of this is mostly background and context for the changes here. Many thanks to all the reviewers who helped here. Especially Sanjoy who caught several interesting bugs in the graph algorithms, David, Sean, and others who all helped with feedback. Differential Revision: http://reviews.llvm.org/D21464 llvm-svn: 279618
2016-08-24 11:37:14 +02:00
Result run(LazyCallGraph::SCC &, CGSCCAnalysisManager &, LazyCallGraph &G) {
return Result();
}
static StringRef name() { return "NoOpCGSCCAnalysis"; }
};
/// No-op function pass which does nothing.
struct NoOpFunctionPass {
PreservedAnalyses run(Function &F, FunctionAnalysisManager &) {
return PreservedAnalyses::all();
}
static StringRef name() { return "NoOpFunctionPass"; }
};
/// No-op function analysis.
class NoOpFunctionAnalysis : public AnalysisInfoMixin<NoOpFunctionAnalysis> {
friend AnalysisInfoMixin<NoOpFunctionAnalysis>;
[PM] Change the static object whose address is used to uniquely identify analyses to have a common type which is enforced rather than using a char object and a `void *` type when used as an identifier. This has a number of advantages. First, it at least helps some of the confusion raised in Justin Lebar's code review of why `void *` was being used everywhere by having a stronger type that connects to documentation about this. However, perhaps more importantly, it addresses a serious issue where the alignment of these pointer-like identifiers was unknown. This made it hard to use them in pointer-like data structures. We were already dodging this in dangerous ways to create the "all analyses" entry. In a subsequent patch I attempted to use these with TinyPtrVector and things fell apart in a very bad way. And it isn't just a compile time or type system issue. Worse than that, the actual alignment of these pointer-like opaque identifiers wasn't guaranteed to be a useful alignment as they were just characters. This change introduces a type to use as the "key" object whose address forms the opaque identifier. This both forces the objects to have proper alignment, and provides type checking that we get it right everywhere. It also makes the types somewhat less mysterious than `void *`. We could go one step further and introduce a truly opaque pointer-like type to return from the `ID()` static function rather than returning `AnalysisKey *`, but that didn't seem to be a clear win so this is just the initial change to get to a reliably typed and aligned object serving is a key for all the analyses. Thanks to Richard Smith and Justin Lebar for helping pick plausible names and avoid making this refactoring many times. =] And thanks to Sean for the super fast review! While here, I've tried to move away from the "PassID" nomenclature entirely as it wasn't really helping and is overloaded with old pass manager constructs. Now we have IDs for analyses, and key objects whose address can be used as IDs. Where possible and clear I've shortened this to just "ID". In a few places I kept "AnalysisID" to make it clear what was being identified. Differential Revision: https://reviews.llvm.org/D27031 llvm-svn: 287783
2016-11-23 18:53:26 +01:00
static AnalysisKey Key;
public:
struct Result {};
Result run(Function &, FunctionAnalysisManager &) { return Result(); }
static StringRef name() { return "NoOpFunctionAnalysis"; }
};
/// No-op loop pass which does nothing.
struct NoOpLoopPass {
[PM] Rewrite the loop pass manager to use a worklist and augmented run arguments much like the CGSCC pass manager. This is a major redesign following the pattern establish for the CGSCC layer to support updates to the set of loops during the traversal of the loop nest and to support invalidation of analyses. An additional significant burden in the loop PM is that so many passes require access to a large number of function analyses. Manually ensuring these are cached, available, and preserved has been a long-standing burden in LLVM even with the help of the automatic scheduling in the old pass manager. And it made the new pass manager extremely unweildy. With this design, we can package the common analyses up while in a function pass and make them immediately available to all the loop passes. While in some cases this is unnecessary, I think the simplicity afforded is worth it. This does not (yet) address loop simplified form or LCSSA form, but those are the next things on my radar and I have a clear plan for them. While the patch is very large, most of it is either mechanically updating loop passes to the new API or the new testing for the loop PM. The code for it is reasonably compact. I have not yet updated all of the loop passes to correctly leverage the update mechanisms demonstrated in the unittests. I'll do that in follow-up patches along with improved FileCheck tests for those passes that ensure things work in more realistic scenarios. In many cases, there isn't much we can do with these until the loop simplified form and LCSSA form are in place. Differential Revision: https://reviews.llvm.org/D28292 llvm-svn: 291651
2017-01-11 07:23:21 +01:00
PreservedAnalyses run(Loop &L, LoopAnalysisManager &,
LoopStandardAnalysisResults &, LPMUpdater &) {
return PreservedAnalyses::all();
}
static StringRef name() { return "NoOpLoopPass"; }
};
/// No-op loop analysis.
class NoOpLoopAnalysis : public AnalysisInfoMixin<NoOpLoopAnalysis> {
friend AnalysisInfoMixin<NoOpLoopAnalysis>;
[PM] Change the static object whose address is used to uniquely identify analyses to have a common type which is enforced rather than using a char object and a `void *` type when used as an identifier. This has a number of advantages. First, it at least helps some of the confusion raised in Justin Lebar's code review of why `void *` was being used everywhere by having a stronger type that connects to documentation about this. However, perhaps more importantly, it addresses a serious issue where the alignment of these pointer-like identifiers was unknown. This made it hard to use them in pointer-like data structures. We were already dodging this in dangerous ways to create the "all analyses" entry. In a subsequent patch I attempted to use these with TinyPtrVector and things fell apart in a very bad way. And it isn't just a compile time or type system issue. Worse than that, the actual alignment of these pointer-like opaque identifiers wasn't guaranteed to be a useful alignment as they were just characters. This change introduces a type to use as the "key" object whose address forms the opaque identifier. This both forces the objects to have proper alignment, and provides type checking that we get it right everywhere. It also makes the types somewhat less mysterious than `void *`. We could go one step further and introduce a truly opaque pointer-like type to return from the `ID()` static function rather than returning `AnalysisKey *`, but that didn't seem to be a clear win so this is just the initial change to get to a reliably typed and aligned object serving is a key for all the analyses. Thanks to Richard Smith and Justin Lebar for helping pick plausible names and avoid making this refactoring many times. =] And thanks to Sean for the super fast review! While here, I've tried to move away from the "PassID" nomenclature entirely as it wasn't really helping and is overloaded with old pass manager constructs. Now we have IDs for analyses, and key objects whose address can be used as IDs. Where possible and clear I've shortened this to just "ID". In a few places I kept "AnalysisID" to make it clear what was being identified. Differential Revision: https://reviews.llvm.org/D27031 llvm-svn: 287783
2016-11-23 18:53:26 +01:00
static AnalysisKey Key;
public:
struct Result {};
[PM] Rewrite the loop pass manager to use a worklist and augmented run arguments much like the CGSCC pass manager. This is a major redesign following the pattern establish for the CGSCC layer to support updates to the set of loops during the traversal of the loop nest and to support invalidation of analyses. An additional significant burden in the loop PM is that so many passes require access to a large number of function analyses. Manually ensuring these are cached, available, and preserved has been a long-standing burden in LLVM even with the help of the automatic scheduling in the old pass manager. And it made the new pass manager extremely unweildy. With this design, we can package the common analyses up while in a function pass and make them immediately available to all the loop passes. While in some cases this is unnecessary, I think the simplicity afforded is worth it. This does not (yet) address loop simplified form or LCSSA form, but those are the next things on my radar and I have a clear plan for them. While the patch is very large, most of it is either mechanically updating loop passes to the new API or the new testing for the loop PM. The code for it is reasonably compact. I have not yet updated all of the loop passes to correctly leverage the update mechanisms demonstrated in the unittests. I'll do that in follow-up patches along with improved FileCheck tests for those passes that ensure things work in more realistic scenarios. In many cases, there isn't much we can do with these until the loop simplified form and LCSSA form are in place. Differential Revision: https://reviews.llvm.org/D28292 llvm-svn: 291651
2017-01-11 07:23:21 +01:00
Result run(Loop &, LoopAnalysisManager &, LoopStandardAnalysisResults &) {
return Result();
}
static StringRef name() { return "NoOpLoopAnalysis"; }
};
[PM] Change the static object whose address is used to uniquely identify analyses to have a common type which is enforced rather than using a char object and a `void *` type when used as an identifier. This has a number of advantages. First, it at least helps some of the confusion raised in Justin Lebar's code review of why `void *` was being used everywhere by having a stronger type that connects to documentation about this. However, perhaps more importantly, it addresses a serious issue where the alignment of these pointer-like identifiers was unknown. This made it hard to use them in pointer-like data structures. We were already dodging this in dangerous ways to create the "all analyses" entry. In a subsequent patch I attempted to use these with TinyPtrVector and things fell apart in a very bad way. And it isn't just a compile time or type system issue. Worse than that, the actual alignment of these pointer-like opaque identifiers wasn't guaranteed to be a useful alignment as they were just characters. This change introduces a type to use as the "key" object whose address forms the opaque identifier. This both forces the objects to have proper alignment, and provides type checking that we get it right everywhere. It also makes the types somewhat less mysterious than `void *`. We could go one step further and introduce a truly opaque pointer-like type to return from the `ID()` static function rather than returning `AnalysisKey *`, but that didn't seem to be a clear win so this is just the initial change to get to a reliably typed and aligned object serving is a key for all the analyses. Thanks to Richard Smith and Justin Lebar for helping pick plausible names and avoid making this refactoring many times. =] And thanks to Sean for the super fast review! While here, I've tried to move away from the "PassID" nomenclature entirely as it wasn't really helping and is overloaded with old pass manager constructs. Now we have IDs for analyses, and key objects whose address can be used as IDs. Where possible and clear I've shortened this to just "ID". In a few places I kept "AnalysisID" to make it clear what was being identified. Differential Revision: https://reviews.llvm.org/D27031 llvm-svn: 287783
2016-11-23 18:53:26 +01:00
AnalysisKey NoOpModuleAnalysis::Key;
AnalysisKey NoOpCGSCCAnalysis::Key;
AnalysisKey NoOpFunctionAnalysis::Key;
AnalysisKey NoOpLoopAnalysis::Key;
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
} // End anonymous namespace.
void PassBuilder::invokePeepholeEPCallbacks(
FunctionPassManager &FPM, PassBuilder::OptimizationLevel Level) {
for (auto &C : PeepholeEPCallbacks)
C(FPM, Level);
}
[PM] Create a separate library for high-level pass management code. This will provide the analogous replacements for the PassManagerBuilder and other code long term. This code is extracted from the opt tool currently, and I plan to extend it as I build up support for using the new pass manager in Clang and other places. Mailing this out for review in part to let folks comment on the terrible names here. A brief word about why I chose the names I did. The library is called "Passes" to try and make it clear that it is a high-level utility and where *all* of the passes come together and are registered in a common library. I didn't want it to be *limited* to a registry though, the registry is just one component. The class is a "PassBuilder" but this name I'm less happy with. It doesn't build passes in any traditional sense and isn't a Builder-style API at all. The class is a PassRegisterer or PassAdder, but neither of those really make a lot of sense. This class is responsible for constructing passes for registry in an analysis manager or for population of a pass pipeline. If anyone has a better name, I would love to hear it. The other candidate I looked at was PassRegistrar, but that doesn't really fit either. There is no register of all the passes in use, and so I think continuing the "registry" analog outside of the registry of pass *names* and *types* is a mistake. The objects themselves are just objects with the new pass manager. Differential Revision: http://reviews.llvm.org/D8054 llvm-svn: 231556
2015-03-07 10:02:36 +01:00
void PassBuilder::registerModuleAnalyses(ModuleAnalysisManager &MAM) {
#define MODULE_ANALYSIS(NAME, CREATE_PASS) \
MAM.registerPass([&] { return CREATE_PASS; });
#include "PassRegistry.def"
for (auto &C : ModuleAnalysisRegistrationCallbacks)
C(MAM);
}
[PM] Create a separate library for high-level pass management code. This will provide the analogous replacements for the PassManagerBuilder and other code long term. This code is extracted from the opt tool currently, and I plan to extend it as I build up support for using the new pass manager in Clang and other places. Mailing this out for review in part to let folks comment on the terrible names here. A brief word about why I chose the names I did. The library is called "Passes" to try and make it clear that it is a high-level utility and where *all* of the passes come together and are registered in a common library. I didn't want it to be *limited* to a registry though, the registry is just one component. The class is a "PassBuilder" but this name I'm less happy with. It doesn't build passes in any traditional sense and isn't a Builder-style API at all. The class is a PassRegisterer or PassAdder, but neither of those really make a lot of sense. This class is responsible for constructing passes for registry in an analysis manager or for population of a pass pipeline. If anyone has a better name, I would love to hear it. The other candidate I looked at was PassRegistrar, but that doesn't really fit either. There is no register of all the passes in use, and so I think continuing the "registry" analog outside of the registry of pass *names* and *types* is a mistake. The objects themselves are just objects with the new pass manager. Differential Revision: http://reviews.llvm.org/D8054 llvm-svn: 231556
2015-03-07 10:02:36 +01:00
void PassBuilder::registerCGSCCAnalyses(CGSCCAnalysisManager &CGAM) {
#define CGSCC_ANALYSIS(NAME, CREATE_PASS) \
CGAM.registerPass([&] { return CREATE_PASS; });
#include "PassRegistry.def"
for (auto &C : CGSCCAnalysisRegistrationCallbacks)
C(CGAM);
}
[PM] Create a separate library for high-level pass management code. This will provide the analogous replacements for the PassManagerBuilder and other code long term. This code is extracted from the opt tool currently, and I plan to extend it as I build up support for using the new pass manager in Clang and other places. Mailing this out for review in part to let folks comment on the terrible names here. A brief word about why I chose the names I did. The library is called "Passes" to try and make it clear that it is a high-level utility and where *all* of the passes come together and are registered in a common library. I didn't want it to be *limited* to a registry though, the registry is just one component. The class is a "PassBuilder" but this name I'm less happy with. It doesn't build passes in any traditional sense and isn't a Builder-style API at all. The class is a PassRegisterer or PassAdder, but neither of those really make a lot of sense. This class is responsible for constructing passes for registry in an analysis manager or for population of a pass pipeline. If anyone has a better name, I would love to hear it. The other candidate I looked at was PassRegistrar, but that doesn't really fit either. There is no register of all the passes in use, and so I think continuing the "registry" analog outside of the registry of pass *names* and *types* is a mistake. The objects themselves are just objects with the new pass manager. Differential Revision: http://reviews.llvm.org/D8054 llvm-svn: 231556
2015-03-07 10:02:36 +01:00
void PassBuilder::registerFunctionAnalyses(FunctionAnalysisManager &FAM) {
#define FUNCTION_ANALYSIS(NAME, CREATE_PASS) \
FAM.registerPass([&] { return CREATE_PASS; });
#include "PassRegistry.def"
for (auto &C : FunctionAnalysisRegistrationCallbacks)
C(FAM);
}
void PassBuilder::registerLoopAnalyses(LoopAnalysisManager &LAM) {
#define LOOP_ANALYSIS(NAME, CREATE_PASS) \
LAM.registerPass([&] { return CREATE_PASS; });
#include "PassRegistry.def"
for (auto &C : LoopAnalysisRegistrationCallbacks)
C(LAM);
}
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
FunctionPassManager
PassBuilder::buildFunctionSimplificationPipeline(OptimizationLevel Level,
ThinLTOPhase Phase,
bool DebugLogging) {
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
assert(Level != O0 && "Must request optimizations!");
FunctionPassManager FPM(DebugLogging);
// Form SSA out of local memory accesses after breaking apart aggregates into
// scalars.
FPM.addPass(SROA());
// Catch trivial redundancies
FPM.addPass(EarlyCSEPass(EnableEarlyCSEMemSSA));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Hoisting of scalars and load expressions.
if (EnableGVNHoist)
FPM.addPass(GVNHoistPass());
// Global value numbering based sinking.
if (EnableGVNSink) {
FPM.addPass(GVNSinkPass());
FPM.addPass(SimplifyCFGPass());
}
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Speculative execution if the target has divergent branches; otherwise nop.
FPM.addPass(SpeculativeExecutionPass());
// Optimize based on known information about branches, and cleanup afterward.
FPM.addPass(JumpThreadingPass());
FPM.addPass(CorrelatedValuePropagationPass());
FPM.addPass(SimplifyCFGPass());
if (Level == O3)
FPM.addPass(AggressiveInstCombinePass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
FPM.addPass(InstCombinePass());
if (!isOptimizingForSize(Level))
FPM.addPass(LibCallsShrinkWrapPass());
invokePeepholeEPCallbacks(FPM, Level);
// For PGO use pipeline, try to optimize memory intrinsics such as memcpy
// using the size value profile. Don't perform this when optimizing for size.
if (PGOOpt && !PGOOpt->ProfileUseFile.empty() &&
!isOptimizingForSize(Level))
FPM.addPass(PGOMemOPSizeOpt());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
FPM.addPass(TailCallElimPass());
FPM.addPass(SimplifyCFGPass());
// Form canonically associated expression trees, and simplify the trees using
// basic mathematical properties. For example, this will form (nearly)
// minimal multiplication trees.
FPM.addPass(ReassociatePass());
// Add the primary loop simplification pipeline.
// FIXME: Currently this is split into two loop pass pipelines because we run
// some function passes in between them. These can and should be removed
// and/or replaced by scheduling the loop pass equivalents in the correct
// positions. But those equivalent passes aren't powerful enough yet.
// Specifically, `SimplifyCFGPass` and `InstCombinePass` are currently still
// used. We have `LoopSimplifyCFGPass` which isn't yet powerful enough yet to
// fully replace `SimplifyCFGPass`, and the closest to the other we have is
// `LoopInstSimplify`.
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
LoopPassManager LPM1(DebugLogging), LPM2(DebugLogging);
// Simplify the loop body. We do this initially to clean up after other loop
// passes run, either when iterating on a loop or on inner loops with
// implications on the outer loop.
LPM1.addPass(LoopInstSimplifyPass());
LPM1.addPass(LoopSimplifyCFGPass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Rotate Loop - disable header duplication at -Oz
LPM1.addPass(LoopRotatePass(Level != Oz));
LPM1.addPass(LICMPass());
LPM1.addPass(SimpleLoopUnswitchPass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
LPM2.addPass(IndVarSimplifyPass());
LPM2.addPass(LoopIdiomRecognizePass());
for (auto &C : LateLoopOptimizationsEPCallbacks)
C(LPM2, Level);
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
LPM2.addPass(LoopDeletionPass());
// Do not enable unrolling in PreLinkThinLTO phase during sample PGO
// because it changes IR to makes profile annotation in back compile
// inaccurate.
if (Phase != ThinLTOPhase::PreLink ||
!PGOOpt || PGOOpt->SampleProfileFile.empty())
LPM2.addPass(LoopFullUnrollPass(Level));
for (auto &C : LoopOptimizerEndEPCallbacks)
C(LPM2, Level);
// We provide the opt remark emitter pass for LICM to use. We only need to do
// this once as it is immutable.
FPM.addPass(RequireAnalysisPass<OptimizationRemarkEmitterAnalysis, Function>());
FPM.addPass(createFunctionToLoopPassAdaptor(std::move(LPM1), DebugLogging));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
FPM.addPass(SimplifyCFGPass());
FPM.addPass(InstCombinePass());
FPM.addPass(createFunctionToLoopPassAdaptor(std::move(LPM2), DebugLogging));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Eliminate redundancies.
if (Level != O1) {
// These passes add substantial compile time so skip them at O1.
FPM.addPass(MergedLoadStoreMotionPass());
if (RunNewGVN)
FPM.addPass(NewGVNPass());
else
FPM.addPass(GVN());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
}
// Specially optimize memory movement as it doesn't look like dataflow in SSA.
FPM.addPass(MemCpyOptPass());
// Sparse conditional constant propagation.
// FIXME: It isn't clear why we do this *after* loop passes rather than
// before...
FPM.addPass(SCCPPass());
// Delete dead bit computations (instcombine runs after to fold away the dead
// computations, and then ADCE will run later to exploit any new DCE
// opportunities that creates).
FPM.addPass(BDCEPass());
// Run instcombine after redundancy and dead bit elimination to exploit
// opportunities opened up by them.
FPM.addPass(InstCombinePass());
invokePeepholeEPCallbacks(FPM, Level);
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Re-consider control flow based optimizations after redundancy elimination,
// redo DCE, etc.
FPM.addPass(JumpThreadingPass());
FPM.addPass(CorrelatedValuePropagationPass());
FPM.addPass(DSEPass());
FPM.addPass(createFunctionToLoopPassAdaptor(LICMPass(), DebugLogging));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
for (auto &C : ScalarOptimizerLateEPCallbacks)
C(FPM, Level);
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Finally, do an expensive DCE pass to catch all the dead code exposed by
// the simplifications and basic cleanup after all the simplifications.
FPM.addPass(ADCEPass());
FPM.addPass(SimplifyCFGPass());
FPM.addPass(InstCombinePass());
invokePeepholeEPCallbacks(FPM, Level);
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
if (EnableCHR && Level == O3 && PGOOpt &&
(!PGOOpt->ProfileUseFile.empty() || !PGOOpt->SampleProfileFile.empty()))
FPM.addPass(ControlHeightReductionPass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
return FPM;
}
void PassBuilder::addPGOInstrPasses(ModulePassManager &MPM, bool DebugLogging,
PassBuilder::OptimizationLevel Level,
bool RunProfileGen,
std::string ProfileGenFile,
std::string ProfileUseFile,
std::string ProfileRemappingFile) {
// Generally running simplification passes and the inliner with an high
// threshold results in smaller executables, but there may be cases where
// the size grows, so let's be conservative here and skip this simplification
// at -Os/Oz.
if (!isOptimizingForSize(Level)) {
InlineParams IP;
// In the old pass manager, this is a cl::opt. Should still this be one?
IP.DefaultThreshold = 75;
// FIXME: The hint threshold has the same value used by the regular inliner.
// This should probably be lowered after performance testing.
// FIXME: this comment is cargo culted from the old pass manager, revisit).
IP.HintThreshold = 325;
CGSCCPassManager CGPipeline(DebugLogging);
CGPipeline.addPass(InlinerPass(IP));
FunctionPassManager FPM;
FPM.addPass(SROA());
FPM.addPass(EarlyCSEPass()); // Catch trivial redundancies.
FPM.addPass(SimplifyCFGPass()); // Merge & remove basic blocks.
FPM.addPass(InstCombinePass()); // Combine silly sequences.
invokePeepholeEPCallbacks(FPM, Level);
CGPipeline.addPass(createCGSCCToFunctionPassAdaptor(std::move(FPM)));
MPM.addPass(createModuleToPostOrderCGSCCPassAdaptor(std::move(CGPipeline)));
}
// Delete anything that is now dead to make sure that we don't instrument
// dead code. Instrumentation can end up keeping dead code around and
// dramatically increase code size.
MPM.addPass(GlobalDCEPass());
if (RunProfileGen) {
MPM.addPass(PGOInstrumentationGen());
FunctionPassManager FPM;
FPM.addPass(
createFunctionToLoopPassAdaptor(LoopRotatePass(), DebugLogging));
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(FPM)));
// Add the profile lowering pass.
InstrProfOptions Options;
if (!ProfileGenFile.empty())
Options.InstrProfileOutput = ProfileGenFile;
Options.DoCounterPromotion = true;
MPM.addPass(InstrProfiling(Options));
}
if (!ProfileUseFile.empty())
MPM.addPass(PGOInstrumentationUse(ProfileUseFile, ProfileRemappingFile));
}
static InlineParams
getInlineParamsFromOptLevel(PassBuilder::OptimizationLevel Level) {
auto O3 = PassBuilder::O3;
unsigned OptLevel = Level > O3 ? 2 : Level;
unsigned SizeLevel = Level > O3 ? Level - O3 : 0;
return getInlineParams(OptLevel, SizeLevel);
}
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
ModulePassManager
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
PassBuilder::buildModuleSimplificationPipeline(OptimizationLevel Level,
ThinLTOPhase Phase,
bool DebugLogging) {
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
ModulePassManager MPM(DebugLogging);
// Do basic inference of function attributes from known properties of system
// libraries and other oracles.
MPM.addPass(InferFunctionAttrsPass());
// Create an early function pass manager to cleanup the output of the
// frontend.
FunctionPassManager EarlyFPM(DebugLogging);
EarlyFPM.addPass(SimplifyCFGPass());
EarlyFPM.addPass(SROA());
EarlyFPM.addPass(EarlyCSEPass());
EarlyFPM.addPass(LowerExpectIntrinsicPass());
if (Level == O3)
EarlyFPM.addPass(CallSiteSplittingPass());
// In SamplePGO ThinLTO backend, we need instcombine before profile annotation
// to convert bitcast to direct calls so that they can be inlined during the
// profile annotation prepration step.
// More details about SamplePGO design can be found in:
// https://research.google.com/pubs/pub45290.html
// FIXME: revisit how SampleProfileLoad/Inliner/ICP is structured.
if (PGOOpt && !PGOOpt->SampleProfileFile.empty() &&
Phase == ThinLTOPhase::PostLink)
EarlyFPM.addPass(InstCombinePass());
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(EarlyFPM)));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
if (PGOOpt && !PGOOpt->SampleProfileFile.empty()) {
// Annotate sample profile right after early FPM to ensure freshness of
// the debug info.
MPM.addPass(SampleProfileLoaderPass(PGOOpt->SampleProfileFile,
PGOOpt->ProfileRemappingFile,
Phase == ThinLTOPhase::PreLink));
// Do not invoke ICP in the ThinLTOPrelink phase as it makes it hard
// for the profile annotation to be accurate in the ThinLTO backend.
if (Phase != ThinLTOPhase::PreLink)
// We perform early indirect call promotion here, before globalopt.
// This is important for the ThinLTO backend phase because otherwise
// imported available_externally functions look unreferenced and are
// removed.
MPM.addPass(PGOIndirectCallPromotion(Phase == ThinLTOPhase::PostLink,
true));
}
// Interprocedural constant propagation now that basic cleanup has occurred
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// and prior to optimizing globals.
// FIXME: This position in the pipeline hasn't been carefully considered in
// years, it should be re-analyzed.
MPM.addPass(IPSCCPPass());
// Attach metadata to indirect call sites indicating the set of functions
// they may target at run-time. This should follow IPSCCP.
MPM.addPass(CalledValuePropagationPass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Optimize globals to try and fold them into constants.
MPM.addPass(GlobalOptPass());
// Promote any localized globals to SSA registers.
// FIXME: Should this instead by a run of SROA?
// FIXME: We should probably run instcombine and simplify-cfg afterward to
// delete control flows that are dead once globals have been folded to
// constants.
MPM.addPass(createModuleToFunctionPassAdaptor(PromotePass()));
// Remove any dead arguments exposed by cleanups and constand folding
// globals.
MPM.addPass(DeadArgumentEliminationPass());
// Create a small function pass pipeline to cleanup after all the global
// optimizations.
FunctionPassManager GlobalCleanupPM(DebugLogging);
GlobalCleanupPM.addPass(InstCombinePass());
invokePeepholeEPCallbacks(GlobalCleanupPM, Level);
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
GlobalCleanupPM.addPass(SimplifyCFGPass());
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(GlobalCleanupPM)));
// Add all the requested passes for instrumentation PGO, if requested.
if (PGOOpt && Phase != ThinLTOPhase::PostLink &&
(!PGOOpt->ProfileGenFile.empty() || !PGOOpt->ProfileUseFile.empty())) {
addPGOInstrPasses(MPM, DebugLogging, Level, PGOOpt->RunProfileGen,
PGOOpt->ProfileGenFile, PGOOpt->ProfileUseFile,
PGOOpt->ProfileRemappingFile);
MPM.addPass(PGOIndirectCallPromotion(false, false));
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
}
// Synthesize function entry counts for non-PGO compilation.
if (EnableSyntheticCounts && !PGOOpt)
MPM.addPass(SyntheticCountsPropagation());
// Require the GlobalsAA analysis for the module so we can query it within
// the CGSCC pipeline.
MPM.addPass(RequireAnalysisPass<GlobalsAA, Module>());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Require the ProfileSummaryAnalysis for the module so we can query it within
// the inliner pass.
MPM.addPass(RequireAnalysisPass<ProfileSummaryAnalysis, Module>());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Now begin the main postorder CGSCC pipeline.
// FIXME: The current CGSCC pipeline has its origins in the legacy pass
// manager and trying to emulate its precise behavior. Much of this doesn't
// make a lot of sense and we should revisit the core CGSCC structure.
CGSCCPassManager MainCGPipeline(DebugLogging);
// Note: historically, the PruneEH pass was run first to deduce nounwind and
// generally clean up exception handling overhead. It isn't clear this is
// valuable as the inliner doesn't currently care whether it is inlining an
// invoke or a call.
// Run the inliner first. The theory is that we are walking bottom-up and so
// the callees have already been fully optimized, and we want to inline them
// into the callers so that our optimizations can reflect that.
// For PreLinkThinLTO pass, we disable hot-caller heuristic for sample PGO
// because it makes profile annotation in the backend inaccurate.
InlineParams IP = getInlineParamsFromOptLevel(Level);
if (Phase == ThinLTOPhase::PreLink &&
PGOOpt && !PGOOpt->SampleProfileFile.empty())
IP.HotCallSiteThreshold = 0;
MainCGPipeline.addPass(InlinerPass(IP));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Now deduce any function attributes based in the current code.
MainCGPipeline.addPass(PostOrderFunctionAttrsPass());
// When at O3 add argument promotion to the pass pipeline.
// FIXME: It isn't at all clear why this should be limited to O3.
if (Level == O3)
MainCGPipeline.addPass(ArgumentPromotionPass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Lastly, add the core function simplification pipeline nested inside the
// CGSCC walk.
MainCGPipeline.addPass(createCGSCCToFunctionPassAdaptor(
buildFunctionSimplificationPipeline(Level, Phase, DebugLogging)));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// We only want to do hot cold splitting once for ThinLTO, during the
// post-link ThinLTO.
if (EnableHotColdSplit && Phase != ThinLTOPhase::PreLink)
MPM.addPass(HotColdSplittingPass());
for (auto &C : CGSCCOptimizerLateEPCallbacks)
C(MainCGPipeline, Level);
// We wrap the CGSCC pipeline in a devirtualization repeater. This will try
// to detect when we devirtualize indirect calls and iterate the SCC passes
// in that case to try and catch knock-on inlining or function attrs
// opportunities. Then we add it to the module pipeline by walking the SCCs
// in postorder (or bottom-up).
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
MPM.addPass(
createModuleToPostOrderCGSCCPassAdaptor(createDevirtSCCRepeatedPass(
std::move(MainCGPipeline), MaxDevirtIterations)));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
return MPM;
}
ModulePassManager
PassBuilder::buildModuleOptimizationPipeline(OptimizationLevel Level,
bool DebugLogging) {
ModulePassManager MPM(DebugLogging);
// Optimize globals now that the module is fully simplified.
MPM.addPass(GlobalOptPass());
MPM.addPass(GlobalDCEPass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Run partial inlining pass to partially inline functions that have
// large bodies.
if (RunPartialInlining)
MPM.addPass(PartialInlinerPass());
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
// Remove avail extern fns and globals definitions since we aren't compiling
// an object file for later LTO. For LTO we want to preserve these so they
// are eligible for inlining at link-time. Note if they are unreferenced they
// will be removed by GlobalDCE later, so this only impacts referenced
// available externally globals. Eventually they will be suppressed during
// codegen, but eliminating here enables more opportunity for GlobalDCE as it
// may make globals referenced by available external functions dead and saves
// running remaining passes on the eliminated functions.
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
MPM.addPass(EliminateAvailableExternallyPass());
// Do RPO function attribute inference across the module to forward-propagate
// attributes where applicable.
// FIXME: Is this really an optimization rather than a canonicalization?
MPM.addPass(ReversePostOrderFunctionAttrsPass());
// Re-require GloblasAA here prior to function passes. This is particularly
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// useful as the above will have inlined, DCE'ed, and function-attr
// propagated everything. We should at this point have a reasonably minimal
// and richly annotated call graph. By computing aliasing and mod/ref
// information for all local globals here, the late loop passes and notably
// the vectorizer will be able to use them to help recognize vectorizable
// memory operations.
MPM.addPass(RequireAnalysisPass<GlobalsAA, Module>());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
FunctionPassManager OptimizePM(DebugLogging);
OptimizePM.addPass(Float2IntPass());
// FIXME: We need to run some loop optimizations to re-rotate loops after
// simplify-cfg and others undo their rotation.
// Optimize the loop execution. These passes operate on entire loop nests
// rather than on each loop in an inside-out manner, and so they are actually
// function passes.
for (auto &C : VectorizerStartEPCallbacks)
C(OptimizePM, Level);
// First rotate loops that may have been un-rotated by prior passes.
OptimizePM.addPass(
createFunctionToLoopPassAdaptor(LoopRotatePass(), DebugLogging));
// Distribute loops to allow partial vectorization. I.e. isolate dependences
// into separate loop that would otherwise inhibit vectorization. This is
// currently only performed for loops marked with the metadata
// llvm.loop.distribute=true or when -enable-loop-distribute is specified.
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
OptimizePM.addPass(LoopDistributePass());
// Now run the core loop vectorizer.
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
OptimizePM.addPass(LoopVectorizePass());
// Eliminate loads by forwarding stores from the previous iteration to loads
// of the current iteration.
OptimizePM.addPass(LoopLoadEliminationPass());
// Cleanup after the loop optimization passes.
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
OptimizePM.addPass(InstCombinePass());
// Now that we've formed fast to execute loop structures, we do further
// optimizations. These are run afterward as they might block doing complex
// analyses and transforms such as what are needed for loop vectorization.
// Cleanup after loop vectorization, etc. Simplification passes like CVP and
// GVN, loop transforms, and others have already run, so it's now better to
// convert to more optimized IR using more aggressive simplify CFG options.
// The extra sinking transform can create larger basic blocks, so do this
// before SLP vectorization.
OptimizePM.addPass(SimplifyCFGPass(SimplifyCFGOptions().
forwardSwitchCondToPhi(true).
convertSwitchToLookupTable(true).
needCanonicalLoops(false).
sinkCommonInsts(true)));
// Optimize parallel scalar instruction chains into SIMD instructions.
OptimizePM.addPass(SLPVectorizerPass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
OptimizePM.addPass(InstCombinePass());
// Unroll small loops to hide loop backedge latency and saturate any parallel
// execution resources of an out-of-order processor. We also then need to
// clean up redundancies and loop invariant code.
// FIXME: It would be really good to use a loop-integrated instruction
// combiner for cleanup here so that the unrolling and LICM can be pipelined
// across the loop nests.
// We do UnrollAndJam in a separate LPM to ensure it happens before unroll
if (EnableUnrollAndJam) {
OptimizePM.addPass(
createFunctionToLoopPassAdaptor(LoopUnrollAndJamPass(Level)));
}
OptimizePM.addPass(LoopUnrollPass(LoopUnrollOptions(Level)));
[Unroll/UnrollAndJam/Vectorizer/Distribute] Add followup loop attributes. When multiple loop transformation are defined in a loop's metadata, their order of execution is defined by the order of their respective passes in the pass pipeline. For instance, e.g. #pragma clang loop unroll_and_jam(enable) #pragma clang loop distribute(enable) is the same as #pragma clang loop distribute(enable) #pragma clang loop unroll_and_jam(enable) and will try to loop-distribute before Unroll-And-Jam because the LoopDistribute pass is scheduled after UnrollAndJam pass. UnrollAndJamPass only supports one inner loop, i.e. it will necessarily fail after loop distribution. It is not possible to specify another execution order. Also,t the order of passes in the pipeline is subject to change between versions of LLVM, optimization options and which pass manager is used. This patch adds 'followup' attributes to various loop transformation passes. These attributes define which attributes the resulting loop of a transformation should have. For instance, !0 = !{!0, !1, !2} !1 = !{!"llvm.loop.unroll_and_jam.enable"} !2 = !{!"llvm.loop.unroll_and_jam.followup_inner", !3} !3 = !{!"llvm.loop.distribute.enable"} defines a loop ID (!0) to be unrolled-and-jammed (!1) and then the attribute !3 to be added to the jammed inner loop, which contains the instruction to distribute the inner loop. Currently, in both pass managers, pass execution is in a fixed order and UnrollAndJamPass will not execute again after LoopDistribute. We hope to fix this in the future by allowing pass managers to run passes until a fixpoint is reached, use Polly to perform these transformations, or add a loop transformation pass which takes the order issue into account. For mandatory/forced transformations (e.g. by having been declared by #pragma omp simd), the user must be notified when a transformation could not be performed. It is not possible that the responsible pass emits such a warning because the transformation might be 'hidden' in a followup attribute when it is executed, or it is not present in the pipeline at all. For this reason, this patche introduces a WarnMissedTransformations pass, to warn about orphaned transformations. Since this changes the user-visible diagnostic message when a transformation is applied, two test cases in the clang repository need to be updated. To ensure that no other transformation is executed before the intended one, the attribute `llvm.loop.disable_nonforced` can be added which should disable transformation heuristics before the intended transformation is applied. E.g. it would be surprising if a loop is distributed before a #pragma unroll_and_jam is applied. With more supported code transformations (loop fusion, interchange, stripmining, offloading, etc.), transformations can be used as building blocks for more complex transformations (e.g. stripmining+stripmining+interchange -> tiling). Reviewed By: hfinkel, dmgreen Differential Revision: https://reviews.llvm.org/D49281 Differential Revision: https://reviews.llvm.org/D55288 llvm-svn: 348944
2018-12-12 18:32:52 +01:00
OptimizePM.addPass(WarnMissedTransformationsPass());
OptimizePM.addPass(InstCombinePass());
OptimizePM.addPass(RequireAnalysisPass<OptimizationRemarkEmitterAnalysis, Function>());
OptimizePM.addPass(createFunctionToLoopPassAdaptor(LICMPass(), DebugLogging));
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Now that we've vectorized and unrolled loops, we may have more refined
// alignment information, try to re-derive it here.
OptimizePM.addPass(AlignmentFromAssumptionsPass());
// LoopSink pass sinks instructions hoisted by LICM, which serves as a
// canonicalization pass that enables other optimizations. As a result,
// LoopSink pass needs to be a very late IR pass to avoid undoing LICM
// result too early.
OptimizePM.addPass(LoopSinkPass());
// And finally clean up LCSSA form before generating code.
OptimizePM.addPass(InstSimplifyPass());
// This hoists/decomposes div/rem ops. It should run after other sink/hoist
// passes to avoid re-sinking, but before SimplifyCFG because it can allow
// flattening of blocks.
OptimizePM.addPass(DivRemPairsPass());
// LoopSink (and other loop passes since the last simplifyCFG) might have
// resulted in single-entry-single-exit or empty blocks. Clean up the CFG.
OptimizePM.addPass(SimplifyCFGPass());
Add a new pass to speculate around PHI nodes with constant (integer) operands when profitable. The core idea is to (re-)introduce some redundancies where their cost is hidden by the cost of materializing immediates for constant operands of PHI nodes. When the cost of the redundancies is covered by this, avoiding materializing the immediate has numerous benefits: 1) Less register pressure 2) Potential for further folding / combining 3) Potential for more efficient instructions due to immediate operand As a motivating example, consider the remarkably different cost on x86 of a SHL instruction with an immediate operand versus a register operand. This pattern turns up surprisingly frequently, but is somewhat rarely obvious as a significant performance problem. The pass is entirely target independent, but it does rely on the target cost model in TTI to decide when to speculate things around the PHI node. I've included x86-focused tests, but any target that sets up its immediate cost model should benefit from this pass. There is probably more that can be done in this space, but the pass as-is is enough to get some important performance on our internal benchmarks, and should be generally performance neutral, but help with more extensive benchmarking is always welcome. One awkward part is that this pass has to be scheduled after *everything* that can eliminate these kinds of redundancies. This includes SimplifyCFG, GVN, etc. I'm open to suggestions about better places to put this. We could in theory make it part of the codegen pass pipeline, but there doesn't really seem to be a good reason for that -- it isn't "lowering" in any sense and only relies on pretty standard cost model based TTI queries, so it seems to fit well with the "optimization" pipeline model. Still, further thoughts on the pipeline position are welcome. I've also only implemented this in the new pass manager. If folks are very interested, I can try to add it to the old PM as well, but I didn't really see much point (my use case is already switched over to the new PM). I've tested this pretty heavily without issue. A wide range of benchmarks internally show no change outside the noise, and I don't see any significant changes in SPEC either. However, the size class computation in tcmalloc is substantially improved by this, which turns into a 2% to 4% win on the hottest path through tcmalloc for us, so there are definitely important cases where this is going to make a substantial difference. Differential revision: https://reviews.llvm.org/D37467 llvm-svn: 319164
2017-11-28 12:32:31 +01:00
// Optimize PHIs by speculating around them when profitable. Note that this
// pass needs to be run after any PRE or similar pass as it is essentially
// inserting redudnancies into the progrem. This even includes SimplifyCFG.
OptimizePM.addPass(SpeculateAroundPHIsPass());
for (auto &C : OptimizerLastEPCallbacks)
C(OptimizePM, Level);
// Add the core optimizing pipeline.
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(OptimizePM)));
MPM.addPass(CGProfilePass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// Now we need to do some global optimization transforms.
// FIXME: It would seem like these should come first in the optimization
// pipeline and maybe be the bottom of the canonicalization pipeline? Weird
// ordering here.
MPM.addPass(GlobalDCEPass());
MPM.addPass(ConstantMergePass());
return MPM;
}
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
ModulePassManager
PassBuilder::buildPerModuleDefaultPipeline(OptimizationLevel Level,
bool DebugLogging) {
assert(Level != O0 && "Must request optimizations for the default pipeline!");
ModulePassManager MPM(DebugLogging);
// Force any function attributes we want the rest of the pipeline to observe.
MPM.addPass(ForceFunctionAttrsPass());
// Apply module pipeline start EP callback.
for (auto &C : PipelineStartEPCallbacks)
C(MPM);
if (PGOOpt && PGOOpt->SamplePGOSupport)
MPM.addPass(createModuleToFunctionPassAdaptor(AddDiscriminatorsPass()));
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
// Add the core simplification pipeline.
MPM.addPass(buildModuleSimplificationPipeline(Level, ThinLTOPhase::None,
DebugLogging));
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
// Now add the optimization pipeline.
MPM.addPass(buildModuleOptimizationPipeline(Level, DebugLogging));
return MPM;
}
ModulePassManager
PassBuilder::buildThinLTOPreLinkDefaultPipeline(OptimizationLevel Level,
bool DebugLogging) {
assert(Level != O0 && "Must request optimizations for the default pipeline!");
ModulePassManager MPM(DebugLogging);
// Force any function attributes we want the rest of the pipeline to observe.
MPM.addPass(ForceFunctionAttrsPass());
if (PGOOpt && PGOOpt->SamplePGOSupport)
MPM.addPass(createModuleToFunctionPassAdaptor(AddDiscriminatorsPass()));
// Apply module pipeline start EP callback.
for (auto &C : PipelineStartEPCallbacks)
C(MPM);
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
// If we are planning to perform ThinLTO later, we don't bloat the code with
// unrolling/vectorization/... now. Just simplify the module as much as we
// can.
MPM.addPass(buildModuleSimplificationPipeline(Level, ThinLTOPhase::PreLink,
DebugLogging));
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
// Run partial inlining pass to partially inline functions that have
// large bodies.
// FIXME: It isn't clear whether this is really the right place to run this
// in ThinLTO. Because there is another canonicalization and simplification
// phase that will run after the thin link, running this here ends up with
// less information than will be available later and it may grow functions in
// ways that aren't beneficial.
if (RunPartialInlining)
MPM.addPass(PartialInlinerPass());
// Reduce the size of the IR as much as possible.
MPM.addPass(GlobalOptPass());
return MPM;
}
ModulePassManager PassBuilder::buildThinLTODefaultPipeline(
OptimizationLevel Level, bool DebugLogging,
const ModuleSummaryIndex *ImportSummary) {
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
ModulePassManager MPM(DebugLogging);
if (ImportSummary) {
// These passes import type identifier resolutions for whole-program
// devirtualization and CFI. They must run early because other passes may
// disturb the specific instruction patterns that these passes look for,
// creating dependencies on resolutions that may not appear in the summary.
//
// For example, GVN may transform the pattern assume(type.test) appearing in
// two basic blocks into assume(phi(type.test, type.test)), which would
// transform a dependency on a WPD resolution into a dependency on a type
// identifier resolution for CFI.
//
// Also, WPD has access to more precise information than ICP and can
// devirtualize more effectively, so it should operate on the IR first.
MPM.addPass(WholeProgramDevirtPass(nullptr, ImportSummary));
MPM.addPass(LowerTypeTestsPass(nullptr, ImportSummary));
}
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
// Force any function attributes we want the rest of the pipeline to observe.
MPM.addPass(ForceFunctionAttrsPass());
// During the ThinLTO backend phase we perform early indirect call promotion
// here, before globalopt. Otherwise imported available_externally functions
// look unreferenced and are removed.
// FIXME: move this into buildModuleSimplificationPipeline to merge the logic
// with SamplePGO.
if (!PGOOpt || PGOOpt->SampleProfileFile.empty())
MPM.addPass(PGOIndirectCallPromotion(true /* InLTO */,
false /* SamplePGO */));
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
// Add the core simplification pipeline.
MPM.addPass(buildModuleSimplificationPipeline(Level, ThinLTOPhase::PostLink,
DebugLogging));
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
// Now add the optimization pipeline.
MPM.addPass(buildModuleOptimizationPipeline(Level, DebugLogging));
return MPM;
}
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
ModulePassManager
PassBuilder::buildLTOPreLinkDefaultPipeline(OptimizationLevel Level,
bool DebugLogging) {
assert(Level != O0 && "Must request optimizations for the default pipeline!");
// FIXME: We should use a customized pre-link pipeline!
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
return buildPerModuleDefaultPipeline(Level, DebugLogging);
}
ModulePassManager
PassBuilder::buildLTODefaultPipeline(OptimizationLevel Level, bool DebugLogging,
ModuleSummaryIndex *ExportSummary) {
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
assert(Level != O0 && "Must request optimizations for the default pipeline!");
ModulePassManager MPM(DebugLogging);
if (PGOOpt && !PGOOpt->SampleProfileFile.empty()) {
// Load sample profile before running the LTO optimization pipeline.
MPM.addPass(SampleProfileLoaderPass(PGOOpt->SampleProfileFile,
PGOOpt->ProfileRemappingFile,
false /* ThinLTOPhase::PreLink */));
}
// Remove unused virtual tables to improve the quality of code generated by
// whole-program devirtualization and bitset lowering.
MPM.addPass(GlobalDCEPass());
// Force any function attributes we want the rest of the pipeline to observe.
MPM.addPass(ForceFunctionAttrsPass());
// Do basic inference of function attributes from known properties of system
// libraries and other oracles.
MPM.addPass(InferFunctionAttrsPass());
if (Level > 1) {
FunctionPassManager EarlyFPM(DebugLogging);
EarlyFPM.addPass(CallSiteSplittingPass());
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(EarlyFPM)));
// Indirect call promotion. This should promote all the targets that are
// left by the earlier promotion pass that promotes intra-module targets.
// This two-step promotion is to save the compile time. For LTO, it should
// produce the same result as if we only do promotion here.
MPM.addPass(PGOIndirectCallPromotion(
true /* InLTO */, PGOOpt && !PGOOpt->SampleProfileFile.empty()));
// Propagate constants at call sites into the functions they call. This
// opens opportunities for globalopt (and inlining) by substituting function
// pointers passed as arguments to direct uses of functions.
MPM.addPass(IPSCCPPass());
// Attach metadata to indirect call sites indicating the set of functions
// they may target at run-time. This should follow IPSCCP.
MPM.addPass(CalledValuePropagationPass());
}
// Now deduce any function attributes based in the current code.
MPM.addPass(createModuleToPostOrderCGSCCPassAdaptor(
PostOrderFunctionAttrsPass()));
// Do RPO function attribute inference across the module to forward-propagate
// attributes where applicable.
// FIXME: Is this really an optimization rather than a canonicalization?
MPM.addPass(ReversePostOrderFunctionAttrsPass());
// Use inragne annotations on GEP indices to split globals where beneficial.
MPM.addPass(GlobalSplitPass());
// Run whole program optimization of virtual call when the list of callees
// is fixed.
MPM.addPass(WholeProgramDevirtPass(ExportSummary, nullptr));
// Stop here at -O1.
if (Level == 1) {
// The LowerTypeTestsPass needs to run to lower type metadata and the
// type.test intrinsics. The pass does nothing if CFI is disabled.
MPM.addPass(LowerTypeTestsPass(ExportSummary, nullptr));
return MPM;
}
// Optimize globals to try and fold them into constants.
MPM.addPass(GlobalOptPass());
// Promote any localized globals to SSA registers.
MPM.addPass(createModuleToFunctionPassAdaptor(PromotePass()));
// Linking modules together can lead to duplicate global constant, only
// keep one copy of each constant.
MPM.addPass(ConstantMergePass());
// Remove unused arguments from functions.
MPM.addPass(DeadArgumentEliminationPass());
// Reduce the code after globalopt and ipsccp. Both can open up significant
// simplification opportunities, and both can propagate functions through
// function pointers. When this happens, we often have to resolve varargs
// calls, etc, so let instcombine do this.
FunctionPassManager PeepholeFPM(DebugLogging);
if (Level == O3)
PeepholeFPM.addPass(AggressiveInstCombinePass());
PeepholeFPM.addPass(InstCombinePass());
invokePeepholeEPCallbacks(PeepholeFPM, Level);
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(PeepholeFPM)));
// Note: historically, the PruneEH pass was run first to deduce nounwind and
// generally clean up exception handling overhead. It isn't clear this is
// valuable as the inliner doesn't currently care whether it is inlining an
// invoke or a call.
// Run the inliner now.
MPM.addPass(createModuleToPostOrderCGSCCPassAdaptor(
InlinerPass(getInlineParamsFromOptLevel(Level))));
// Optimize globals again after we ran the inliner.
MPM.addPass(GlobalOptPass());
// Garbage collect dead functions.
// FIXME: Add ArgumentPromotion pass after once it's ported.
MPM.addPass(GlobalDCEPass());
FunctionPassManager FPM(DebugLogging);
// The IPO Passes may leave cruft around. Clean up after them.
FPM.addPass(InstCombinePass());
invokePeepholeEPCallbacks(FPM, Level);
FPM.addPass(JumpThreadingPass());
// Break up allocas
FPM.addPass(SROA());
// Run a few AA driver optimizations here and now to cleanup the code.
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(FPM)));
MPM.addPass(createModuleToPostOrderCGSCCPassAdaptor(
PostOrderFunctionAttrsPass()));
// FIXME: here we run IP alias analysis in the legacy PM.
FunctionPassManager MainFPM;
// FIXME: once we fix LoopPass Manager, add LICM here.
// FIXME: once we provide support for enabling MLSM, add it here.
// FIXME: once we provide support for enabling NewGVN, add it here.
if (RunNewGVN)
MainFPM.addPass(NewGVNPass());
else
MainFPM.addPass(GVN());
// Remove dead memcpy()'s.
MainFPM.addPass(MemCpyOptPass());
// Nuke dead stores.
MainFPM.addPass(DSEPass());
// FIXME: at this point, we run a bunch of loop passes:
// indVarSimplify, loopDeletion, loopInterchange, loopUnrool,
// loopVectorize. Enable them once the remaining issue with LPM
// are sorted out.
MainFPM.addPass(InstCombinePass());
MainFPM.addPass(SimplifyCFGPass());
MainFPM.addPass(SCCPPass());
MainFPM.addPass(InstCombinePass());
MainFPM.addPass(BDCEPass());
// FIXME: We may want to run SLPVectorizer here.
// After vectorization, assume intrinsics may tell us more
// about pointer alignments.
#if 0
MainFPM.add(AlignmentFromAssumptionsPass());
#endif
// FIXME: Conditionally run LoadCombine here, after it's ported
// (in case we still have this pass, given its questionable usefulness).
MainFPM.addPass(InstCombinePass());
invokePeepholeEPCallbacks(MainFPM, Level);
MainFPM.addPass(JumpThreadingPass());
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(MainFPM)));
// Create a function that performs CFI checks for cross-DSO calls with
// targets in the current module.
MPM.addPass(CrossDSOCFIPass());
// Lower type metadata and the type.test intrinsic. This pass supports
// clang's control flow integrity mechanisms (-fsanitize=cfi*) and needs
// to be run at link time if CFI is enabled. This pass does nothing if
// CFI is disabled.
MPM.addPass(LowerTypeTestsPass(ExportSummary, nullptr));
// Add late LTO optimization passes.
// Delete basic blocks, which optimization passes may have killed.
MPM.addPass(createModuleToFunctionPassAdaptor(SimplifyCFGPass()));
// Drop bodies of available eternally objects to improve GlobalDCE.
MPM.addPass(EliminateAvailableExternallyPass());
// Now that we have optimized the program, discard unreachable functions.
MPM.addPass(GlobalDCEPass());
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
// FIXME: Enable MergeFuncs, conditionally, after ported, maybe.
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
return MPM;
}
AAManager PassBuilder::buildDefaultAAPipeline() {
AAManager AA;
// The order in which these are registered determines their priority when
// being queried.
// First we register the basic alias analysis that provides the majority of
// per-function local AA logic. This is a stateless, on-demand local set of
// AA techniques.
AA.registerFunctionAnalysis<BasicAA>();
// Next we query fast, specialized alias analyses that wrap IR-embedded
// information about aliasing.
AA.registerFunctionAnalysis<ScopedNoAliasAA>();
AA.registerFunctionAnalysis<TypeBasedAA>();
// Add support for querying global aliasing information when available.
// Because the `AAManager` is a function analysis and `GlobalsAA` is a module
// analysis, all that the `AAManager` can do is query for any *cached*
// results from `GlobalsAA` through a readonly proxy.
AA.registerModuleAnalysis<GlobalsAA>();
return AA;
}
static Optional<int> parseRepeatPassName(StringRef Name) {
if (!Name.consume_front("repeat<") || !Name.consume_back(">"))
return None;
int Count;
if (Name.getAsInteger(0, Count) || Count <= 0)
return None;
return Count;
}
[PM] Introduce a devirtualization iteration layer for the new PM. This is an orthogonal and separated layer instead of being embedded inside the pass manager. While it adds a small amount of complexity, it is fairly minimal and the composability and control seems worth the cost. The logic for this ends up being nicely isolated and targeted. It should be easy to experiment with different iteration strategies wrapped around the CGSCC bottom-up walk using this kind of facility. The mechanism used to track devirtualization is the simplest one I came up with. I think it handles most of the cases the existing iteration machinery handles, but I haven't done a *very* in depth analysis. It does however match the basic intended semantics, and we can tweak or tune its exact behavior incrementally as necessary. One thing that we may want to revisit is freshly building the value handle set on each iteration. While I don't think this will be a significant cost (it is strictly fewer value handles but more churn of value handes than the old call graph), it is conceivable that we'll want a somewhat more clever tracking mechanism. My hope is to layer that on as a follow up patch with data supporting any implementation complexity it adds. This code also provides for a basic count heuristic: if the number of indirect calls decreases and the number of direct calls increases for a given function in the SCC, we assume devirtualization is responsible. This matches the heuristics currently used in the legacy pass manager. Differential Revision: https://reviews.llvm.org/D23114 llvm-svn: 290665
2016-12-28 12:07:33 +01:00
static Optional<int> parseDevirtPassName(StringRef Name) {
if (!Name.consume_front("devirt<") || !Name.consume_back(">"))
return None;
int Count;
if (Name.getAsInteger(0, Count) || Count <= 0)
return None;
return Count;
}
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
/// Tests whether a pass name starts with a valid prefix for a default pipeline
/// alias.
static bool startsWithDefaultPipelineAliasPrefix(StringRef Name) {
return Name.startswith("default") || Name.startswith("thinlto") ||
Name.startswith("lto");
}
/// Tests whether registered callbacks will accept a given pass name.
///
/// When parsing a pipeline text, the type of the outermost pipeline may be
/// omitted, in which case the type is automatically determined from the first
/// pass name in the text. This may be a name that is handled through one of the
/// callbacks. We check this through the oridinary parsing callbacks by setting
/// up a dummy PassManager in order to not force the client to also handle this
/// type of query.
template <typename PassManagerT, typename CallbacksT>
static bool callbacksAcceptPassName(StringRef Name, CallbacksT &Callbacks) {
if (!Callbacks.empty()) {
PassManagerT DummyPM;
for (auto &CB : Callbacks)
if (CB(Name, DummyPM, {}))
return true;
}
return false;
}
template <typename CallbacksT>
static bool isModulePassName(StringRef Name, CallbacksT &Callbacks) {
// Manually handle aliases for pre-configured pipeline fragments.
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
if (startsWithDefaultPipelineAliasPrefix(Name))
return DefaultAliasRegex.match(Name);
// Explicitly handle pass manager names.
if (Name == "module")
return true;
if (Name == "cgscc")
return true;
if (Name == "function")
return true;
// Explicitly handle custom-parsed pass names.
if (parseRepeatPassName(Name))
return true;
#define MODULE_PASS(NAME, CREATE_PASS) \
if (Name == NAME) \
return true;
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
#define MODULE_ANALYSIS(NAME, CREATE_PASS) \
if (Name == "require<" NAME ">" || Name == "invalidate<" NAME ">") \
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
return true;
#include "PassRegistry.def"
return callbacksAcceptPassName<ModulePassManager>(Name, Callbacks);
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
}
template <typename CallbacksT>
static bool isCGSCCPassName(StringRef Name, CallbacksT &Callbacks) {
// Explicitly handle pass manager names.
if (Name == "cgscc")
return true;
if (Name == "function")
return true;
// Explicitly handle custom-parsed pass names.
if (parseRepeatPassName(Name))
return true;
[PM] Introduce a devirtualization iteration layer for the new PM. This is an orthogonal and separated layer instead of being embedded inside the pass manager. While it adds a small amount of complexity, it is fairly minimal and the composability and control seems worth the cost. The logic for this ends up being nicely isolated and targeted. It should be easy to experiment with different iteration strategies wrapped around the CGSCC bottom-up walk using this kind of facility. The mechanism used to track devirtualization is the simplest one I came up with. I think it handles most of the cases the existing iteration machinery handles, but I haven't done a *very* in depth analysis. It does however match the basic intended semantics, and we can tweak or tune its exact behavior incrementally as necessary. One thing that we may want to revisit is freshly building the value handle set on each iteration. While I don't think this will be a significant cost (it is strictly fewer value handles but more churn of value handes than the old call graph), it is conceivable that we'll want a somewhat more clever tracking mechanism. My hope is to layer that on as a follow up patch with data supporting any implementation complexity it adds. This code also provides for a basic count heuristic: if the number of indirect calls decreases and the number of direct calls increases for a given function in the SCC, we assume devirtualization is responsible. This matches the heuristics currently used in the legacy pass manager. Differential Revision: https://reviews.llvm.org/D23114 llvm-svn: 290665
2016-12-28 12:07:33 +01:00
if (parseDevirtPassName(Name))
return true;
#define CGSCC_PASS(NAME, CREATE_PASS) \
if (Name == NAME) \
return true;
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
#define CGSCC_ANALYSIS(NAME, CREATE_PASS) \
if (Name == "require<" NAME ">" || Name == "invalidate<" NAME ">") \
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
return true;
#include "PassRegistry.def"
return callbacksAcceptPassName<CGSCCPassManager>(Name, Callbacks);
}
template <typename CallbacksT>
static bool isFunctionPassName(StringRef Name, CallbacksT &Callbacks) {
// Explicitly handle pass manager names.
if (Name == "function")
return true;
if (Name == "loop")
return true;
// Explicitly handle custom-parsed pass names.
if (parseRepeatPassName(Name))
return true;
#define FUNCTION_PASS(NAME, CREATE_PASS) \
if (Name == NAME) \
return true;
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
#define FUNCTION_ANALYSIS(NAME, CREATE_PASS) \
if (Name == "require<" NAME ">" || Name == "invalidate<" NAME ">") \
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
return true;
#include "PassRegistry.def"
return callbacksAcceptPassName<FunctionPassManager>(Name, Callbacks);
}
template <typename CallbacksT>
static bool isLoopPassName(StringRef Name, CallbacksT &Callbacks) {
// Explicitly handle pass manager names.
if (Name == "loop")
return true;
// Explicitly handle custom-parsed pass names.
if (parseRepeatPassName(Name))
return true;
#define LOOP_PASS(NAME, CREATE_PASS) \
if (Name == NAME) \
return true;
#define LOOP_ANALYSIS(NAME, CREATE_PASS) \
if (Name == "require<" NAME ">" || Name == "invalidate<" NAME ">") \
return true;
#include "PassRegistry.def"
return callbacksAcceptPassName<LoopPassManager>(Name, Callbacks);
}
Optional<std::vector<PassBuilder::PipelineElement>>
PassBuilder::parsePipelineText(StringRef Text) {
std::vector<PipelineElement> ResultPipeline;
SmallVector<std::vector<PipelineElement> *, 4> PipelineStack = {
&ResultPipeline};
for (;;) {
std::vector<PipelineElement> &Pipeline = *PipelineStack.back();
size_t Pos = Text.find_first_of(",()");
Pipeline.push_back({Text.substr(0, Pos), {}});
// If we have a single terminating name, we're done.
if (Pos == Text.npos)
break;
char Sep = Text[Pos];
Text = Text.substr(Pos + 1);
if (Sep == ',')
// Just a name ending in a comma, continue.
continue;
if (Sep == '(') {
// Push the inner pipeline onto the stack to continue processing.
PipelineStack.push_back(&Pipeline.back().InnerPipeline);
continue;
}
assert(Sep == ')' && "Bogus separator!");
// When handling the close parenthesis, we greedily consume them to avoid
// empty strings in the pipeline.
do {
// If we try to pop the outer pipeline we have unbalanced parentheses.
if (PipelineStack.size() == 1)
return None;
PipelineStack.pop_back();
} while (Text.consume_front(")"));
// Check if we've finished parsing.
if (Text.empty())
break;
// Otherwise, the end of an inner pipeline always has to be followed by
// a comma, and then we can continue.
if (!Text.consume_front(","))
return None;
}
if (PipelineStack.size() > 1)
// Unbalanced paretheses.
return None;
assert(PipelineStack.back() == &ResultPipeline &&
"Wrong pipeline at the bottom of the stack!");
return {std::move(ResultPipeline)};
}
Error PassBuilder::parseModulePass(ModulePassManager &MPM,
const PipelineElement &E,
bool VerifyEachPass, bool DebugLogging) {
auto &Name = E.Name;
auto &InnerPipeline = E.InnerPipeline;
// First handle complex passes like the pass managers which carry pipelines.
if (!InnerPipeline.empty()) {
if (Name == "module") {
ModulePassManager NestedMPM(DebugLogging);
if (auto Err = parseModulePassPipeline(NestedMPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
MPM.addPass(std::move(NestedMPM));
return Error::success();
}
if (Name == "cgscc") {
CGSCCPassManager CGPM(DebugLogging);
if (auto Err = parseCGSCCPassPipeline(CGPM, InnerPipeline, VerifyEachPass,
DebugLogging))
return Err;
MPM.addPass(createModuleToPostOrderCGSCCPassAdaptor(std::move(CGPM)));
return Error::success();
}
if (Name == "function") {
FunctionPassManager FPM(DebugLogging);
if (auto Err = parseFunctionPassPipeline(FPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
MPM.addPass(createModuleToFunctionPassAdaptor(std::move(FPM)));
return Error::success();
}
if (auto Count = parseRepeatPassName(Name)) {
ModulePassManager NestedMPM(DebugLogging);
if (auto Err = parseModulePassPipeline(NestedMPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
MPM.addPass(createRepeatedPass(*Count, std::move(NestedMPM)));
return Error::success();
}
for (auto &C : ModulePipelineParsingCallbacks)
if (C(Name, MPM, InnerPipeline))
return Error::success();
// Normal passes can't have pipelines.
return make_error<StringError>(
formatv("invalid use of '{0}' pass as module pipeline", Name).str(),
inconvertibleErrorCode());
;
}
// Manually handle aliases for pre-configured pipeline fragments.
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
if (startsWithDefaultPipelineAliasPrefix(Name)) {
SmallVector<StringRef, 3> Matches;
if (!DefaultAliasRegex.match(Name, &Matches))
return make_error<StringError>(
formatv("unknown default pipeline alias '{0}'", Name).str(),
inconvertibleErrorCode());
assert(Matches.size() == 3 && "Must capture two matched strings!");
OptimizationLevel L = StringSwitch<OptimizationLevel>(Matches[2])
.Case("O0", O0)
.Case("O1", O1)
.Case("O2", O2)
.Case("O3", O3)
.Case("Os", Os)
.Case("Oz", Oz);
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
if (L == O0)
// At O0 we do nothing at all!
return Error::success();
if (Matches[1] == "default") {
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
MPM.addPass(buildPerModuleDefaultPipeline(L, DebugLogging));
[PM/ThinLTO] Port the ThinLTO pipeline (both components) to the new PM. Based on the original patch by Davide, but I've adjusted the API exposed to just be different entry points rather than exposing more state parameters. I've factored all the common logic out so that we don't have any duplicate pipelines, we just stitch them together in different ways. I think this makes the build easier to reason about and understand. This adds a direct method for getting the module simplification pipeline as well as a method to get the optimization pipeline. While not my express goal, this seems nice and gives a good place comment about the restrictions that are imposed on them. I did make some minor changes to the way the pipelines are structured here, but hopefully not ones that are significant or controversial: 1) I sunk the PGO indirect call promotion to only be run when we have PGO enabled (or as part of the special ThinLTO pipeline). 2) I made the extra GlobalOpt run in ThinLTO just happen all the time and at a slightly more powerful place (before we remove available externaly functions). This seems like general goodness and not a big compile time sink, so it didn't make sense to *only* use it in ThinLTO. Fewer differences in the pipeline makes everything simpler IMO. 3) I hoisted the ThinLTO stop point pre-link above the the RPO function attr inference. The RPO inference won't infer anything terribly meaningful pre-link (recursiveness?) so it didn't make a lot of sense. But if the placement of RPO inference starts to matter, we should move it to the canonicalization phase anyways which seems like a better place for it (and there is a FIXME to this effect!). But that seemed a bridge too far for this patch. If we ever need to parameterize these pipelines more heavily, we can always sink the logic to helper functions with parameters to keep those parameters out of the public API. But the changes above seemed minor that we could possible get away without the parameters entirely. I added support for parsing 'thinlto' and 'thinlto-pre-link' names in pass pipelines to make it easy to test these routines and play with them in larger pipelines. I also added a really basic manifest of passes test that will show exactly how the pipelines behave and work as well as making updates to them clear. Lastly, this factoring does introduce a nesting layer of module pass managers in the default pipeline. I don't think this is a big deal and the flexibility of decoupling the pipelines seems easily worth it. Differential Revision: https://reviews.llvm.org/D33540 llvm-svn: 304407
2017-06-01 13:39:39 +02:00
} else if (Matches[1] == "thinlto-pre-link") {
MPM.addPass(buildThinLTOPreLinkDefaultPipeline(L, DebugLogging));
} else if (Matches[1] == "thinlto") {
MPM.addPass(buildThinLTODefaultPipeline(L, DebugLogging, nullptr));
} else if (Matches[1] == "lto-pre-link") {
[PM] Introduce a reasonable port of the main per-module pass pipeline from the old pass manager in the new one. I'm not trying to support (initially) the numerous options that are currently available to customize the pass pipeline. If we end up really wanting them, we can add them later, but I suspect many are no longer interesting. The simplicity of omitting them will help a lot as we sort out what the pipeline should look like in the new PM. I've also documented to the best of my ability *why* each pass or group of passes is used so that reading the pipeline is more helpful. In many cases I think we have some questionable choices of ordering and I've left FIXME comments in place so we know what to come back and revisit going forward. But for now, I've left it as similar to the current pipeline as I could. Lastly, I've had to comment out several places where passes are not ported to the new pass manager or where the loop pass infrastructure is not yet ready. I did at least fix a few bugs in the loop pass infrastructure uncovered by running the full pipeline, but I didn't want to go too far in this patch -- I'll come back and re-enable these as the infrastructure comes online. But I'd like to keep the comments in place because I don't want to lose track of which passes need to be enabled and where they go. One thing that seemed like a significant API improvement was to require that we don't build pipelines for O0. It seems to have no real benefit. I've also switched back to returning pass managers by value as at this API layer it feels much more natural to me for composition. But if others disagree, I'm happy to go back to an output parameter. I'm not 100% happy with the testing strategy currently, but it seems at least OK. I may come back and try to refactor or otherwise improve this in subsequent patches but I wanted to at least get a good starting point in place. Differential Revision: https://reviews.llvm.org/D28042 llvm-svn: 290325
2016-12-22 07:59:15 +01:00
MPM.addPass(buildLTOPreLinkDefaultPipeline(L, DebugLogging));
} else {
assert(Matches[1] == "lto" && "Not one of the matched options!");
MPM.addPass(buildLTODefaultPipeline(L, DebugLogging, nullptr));
}
return Error::success();
}
// Finally expand the basic registered passes from the .inc file.
#define MODULE_PASS(NAME, CREATE_PASS) \
if (Name == NAME) { \
MPM.addPass(CREATE_PASS); \
return Error::success(); \
[PM] Add a new "lazy" call graph analysis pass for the new pass manager. The primary motivation for this pass is to separate the call graph analysis used by the new pass manager's CGSCC pass management from the existing call graph analysis pass. That analysis pass is (somewhat unfortunately) over-constrained by the existing CallGraphSCCPassManager requirements. Those requirements make it *really* hard to cleanly layer the needed functionality for the new pass manager on top of the existing analysis. However, there are also a bunch of things that the pass manager would specifically benefit from doing differently from the existing call graph analysis, and this new implementation tries to address several of them: - Be lazy about scanning function definitions. The existing pass eagerly scans the entire module to build the initial graph. This new pass is significantly more lazy, and I plan to push this even further to maximize locality during CGSCC walks. - Don't use a single synthetic node to partition functions with an indirect call from functions whose address is taken. This node creates a huge choke-point which would preclude good parallelization across the fanout of the SCC graph when we got to the point of looking at such changes to LLVM. - Use a memory dense and lightweight representation of the call graph rather than value handles and tracking call instructions. This will require explicit update calls instead of some updates working transparently, but should end up being significantly more efficient. The explicit update calls ended up being needed in many cases for the existing call graph so we don't really lose anything. - Doesn't explicitly model SCCs and thus doesn't provide an "identity" for an SCC which is stable across updates. This is essential for the new pass manager to work correctly. - Only form the graph necessary for traversing all of the functions in an SCC friendly order. This is a much simpler graph structure and should be more memory dense. It does limit the ways in which it is appropriate to use this analysis. I wish I had a better name than "call graph". I've commented extensively this aspect. This is still very much a WIP, in fact it is really just the initial bits. But it is about the fourth version of the initial bits that I've implemented with each of the others running into really frustrating problms. This looks like it will actually work and I'd like to split the actual complexity across commits for the sake of my reviewers. =] The rest of the implementation along with lots of wiring will follow somewhat more rapidly now that there is a good path forward. Naturally, this doesn't impact any of the existing optimizer. This code is specific to the new pass manager. A bunch of thanks are deserved for the various folks that have helped with the design of this, especially Nick Lewycky who actually sat with me to go through the fundamentals of the final version here. llvm-svn: 200903
2014-02-06 05:37:03 +01:00
}
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
#define MODULE_ANALYSIS(NAME, CREATE_PASS) \
if (Name == "require<" NAME ">") { \
MPM.addPass( \
RequireAnalysisPass< \
std::remove_reference<decltype(CREATE_PASS)>::type, Module>()); \
return Error::success(); \
} \
if (Name == "invalidate<" NAME ">") { \
MPM.addPass(InvalidateAnalysisPass< \
std::remove_reference<decltype(CREATE_PASS)>::type>()); \
return Error::success(); \
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
}
#include "PassRegistry.def"
for (auto &C : ModulePipelineParsingCallbacks)
if (C(Name, MPM, InnerPipeline))
return Error::success();
return make_error<StringError>(
formatv("unknown module pass '{0}'", Name).str(),
inconvertibleErrorCode());
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
}
Error PassBuilder::parseCGSCCPass(CGSCCPassManager &CGPM,
const PipelineElement &E, bool VerifyEachPass,
bool DebugLogging) {
auto &Name = E.Name;
auto &InnerPipeline = E.InnerPipeline;
// First handle complex passes like the pass managers which carry pipelines.
if (!InnerPipeline.empty()) {
if (Name == "cgscc") {
CGSCCPassManager NestedCGPM(DebugLogging);
if (auto Err = parseCGSCCPassPipeline(NestedCGPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
// Add the nested pass manager with the appropriate adaptor.
CGPM.addPass(std::move(NestedCGPM));
return Error::success();
}
if (Name == "function") {
FunctionPassManager FPM(DebugLogging);
if (auto Err = parseFunctionPassPipeline(FPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
// Add the nested pass manager with the appropriate adaptor.
CGPM.addPass(createCGSCCToFunctionPassAdaptor(std::move(FPM)));
return Error::success();
}
if (auto Count = parseRepeatPassName(Name)) {
CGSCCPassManager NestedCGPM(DebugLogging);
if (auto Err = parseCGSCCPassPipeline(NestedCGPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
CGPM.addPass(createRepeatedPass(*Count, std::move(NestedCGPM)));
return Error::success();
}
[PM] Introduce a devirtualization iteration layer for the new PM. This is an orthogonal and separated layer instead of being embedded inside the pass manager. While it adds a small amount of complexity, it is fairly minimal and the composability and control seems worth the cost. The logic for this ends up being nicely isolated and targeted. It should be easy to experiment with different iteration strategies wrapped around the CGSCC bottom-up walk using this kind of facility. The mechanism used to track devirtualization is the simplest one I came up with. I think it handles most of the cases the existing iteration machinery handles, but I haven't done a *very* in depth analysis. It does however match the basic intended semantics, and we can tweak or tune its exact behavior incrementally as necessary. One thing that we may want to revisit is freshly building the value handle set on each iteration. While I don't think this will be a significant cost (it is strictly fewer value handles but more churn of value handes than the old call graph), it is conceivable that we'll want a somewhat more clever tracking mechanism. My hope is to layer that on as a follow up patch with data supporting any implementation complexity it adds. This code also provides for a basic count heuristic: if the number of indirect calls decreases and the number of direct calls increases for a given function in the SCC, we assume devirtualization is responsible. This matches the heuristics currently used in the legacy pass manager. Differential Revision: https://reviews.llvm.org/D23114 llvm-svn: 290665
2016-12-28 12:07:33 +01:00
if (auto MaxRepetitions = parseDevirtPassName(Name)) {
CGSCCPassManager NestedCGPM(DebugLogging);
if (auto Err = parseCGSCCPassPipeline(NestedCGPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
CGPM.addPass(
createDevirtSCCRepeatedPass(std::move(NestedCGPM), *MaxRepetitions));
return Error::success();
[PM] Introduce a devirtualization iteration layer for the new PM. This is an orthogonal and separated layer instead of being embedded inside the pass manager. While it adds a small amount of complexity, it is fairly minimal and the composability and control seems worth the cost. The logic for this ends up being nicely isolated and targeted. It should be easy to experiment with different iteration strategies wrapped around the CGSCC bottom-up walk using this kind of facility. The mechanism used to track devirtualization is the simplest one I came up with. I think it handles most of the cases the existing iteration machinery handles, but I haven't done a *very* in depth analysis. It does however match the basic intended semantics, and we can tweak or tune its exact behavior incrementally as necessary. One thing that we may want to revisit is freshly building the value handle set on each iteration. While I don't think this will be a significant cost (it is strictly fewer value handles but more churn of value handes than the old call graph), it is conceivable that we'll want a somewhat more clever tracking mechanism. My hope is to layer that on as a follow up patch with data supporting any implementation complexity it adds. This code also provides for a basic count heuristic: if the number of indirect calls decreases and the number of direct calls increases for a given function in the SCC, we assume devirtualization is responsible. This matches the heuristics currently used in the legacy pass manager. Differential Revision: https://reviews.llvm.org/D23114 llvm-svn: 290665
2016-12-28 12:07:33 +01:00
}
for (auto &C : CGSCCPipelineParsingCallbacks)
if (C(Name, CGPM, InnerPipeline))
return Error::success();
// Normal passes can't have pipelines.
return make_error<StringError>(
formatv("invalid use of '{0}' pass as cgscc pipeline", Name).str(),
inconvertibleErrorCode());
}
// Now expand the basic registered passes from the .inc file.
#define CGSCC_PASS(NAME, CREATE_PASS) \
if (Name == NAME) { \
CGPM.addPass(CREATE_PASS); \
return Error::success(); \
}
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
#define CGSCC_ANALYSIS(NAME, CREATE_PASS) \
if (Name == "require<" NAME ">") { \
CGPM.addPass(RequireAnalysisPass< \
std::remove_reference<decltype(CREATE_PASS)>::type, \
[PM] Introduce basic update capabilities to the new PM's CGSCC pass manager, including both plumbing and logic to handle function pass updates. There are three fundamentally tied changes here: 1) Plumbing *some* mechanism for updating the CGSCC pass manager as the CG changes while passes are running. 2) Changing the CGSCC pass manager infrastructure to have support for the underlying graph to mutate mid-pass run. 3) Actually updating the CG after function passes run. I can separate them if necessary, but I think its really useful to have them together as the needs of #3 drove #2, and that in turn drove #1. The plumbing technique is to extend the "run" method signature with extra arguments. We provide the call graph that intrinsically is available as it is the basis of the pass manager's IR units, and an output parameter that records the results of updating the call graph during an SCC passes's run. Note that "...UpdateResult" isn't a *great* name here... suggestions very welcome. I tried a pretty frustrating number of different data structures and such for the innards of the update result. Every other one failed for one reason or another. Sometimes I just couldn't keep the layers of complexity right in my head. The thing that really worked was to just directly provide access to the underlying structures used to walk the call graph so that their updates could be informed by the *particular* nature of the change to the graph. The technique for how to make the pass management infrastructure cope with mutating graphs was also something that took a really, really large number of iterations to get to a place where I was happy. Here are some of the considerations that drove the design: - We operate at three levels within the infrastructure: RefSCC, SCC, and Node. In each case, we are working bottom up and so we want to continue to iterate on the "lowest" node as the graph changes. Look at how we iterate over nodes in an SCC running function passes as those function passes mutate the CG. We continue to iterate on the "lowest" SCC, which is the one that continues to contain the function just processed. - The call graph structure re-uses SCCs (and RefSCCs) during mutation events for the *highest* entry in the resulting new subgraph, not the lowest. This means that it is necessary to continually update the current SCC or RefSCC as it shifts. This is really surprising and subtle, and took a long time for me to work out. I actually tried changing the call graph to provide the opposite behavior, and it breaks *EVERYTHING*. The graph update algorithms are really deeply tied to this particualr pattern. - When SCCs or RefSCCs are split apart and refined and we continually re-pin our processing to the bottom one in the subgraph, we need to enqueue the newly formed SCCs and RefSCCs for subsequent processing. Queuing them presents a few challenges: 1) SCCs and RefSCCs use wildly different iteration strategies at a high level. We end up needing to converge them on worklist approaches that can be extended in order to be able to handle the mutations. 2) The order of the enqueuing need to remain bottom-up post-order so that we don't get surprising order of visitation for things like the inliner. 3) We need the worklists to have set semantics so we don't duplicate things endlessly. We don't need a *persistent* set though because we always keep processing the bottom node!!!! This is super, super surprising to me and took a long time to convince myself this is correct, but I'm pretty sure it is... Once we sink down to the bottom node, we can't re-split out the same node in any way, and the postorder of the current queue is fixed and unchanging. 4) We need to make sure that the "current" SCC or RefSCC actually gets enqueued here such that we re-visit it because we continue processing a *new*, *bottom* SCC/RefSCC. - We also need the ability to *skip* SCCs and RefSCCs that get merged into a larger component. We even need the ability to skip *nodes* from an SCC that are no longer part of that SCC. This led to the design you see in the patch which uses SetVector-based worklists. The RefSCC worklist is always empty until an update occurs and is just used to handle those RefSCCs created by updates as the others don't even exist yet and are formed on-demand during the bottom-up walk. The SCC worklist is pre-populated from the RefSCC, and we push new SCCs onto it and blacklist existing SCCs on it to get the desired processing. We then *directly* update these when updating the call graph as I was never able to find a satisfactory abstraction around the update strategy. Finally, we need to compute the updates for function passes. This is mostly used as an initial customer of all the update mechanisms to drive their design to at least cover some real set of use cases. There are a bunch of interesting things that came out of doing this: - It is really nice to do this a function at a time because that function is likely hot in the cache. This means we want even the function pass adaptor to support online updates to the call graph! - To update the call graph after arbitrary function pass mutations is quite hard. We have to build a fairly comprehensive set of data structures and then process them. Fortunately, some of this code is related to the code for building the cal graph in the first place. Unfortunately, very little of it makes any sense to share because the nature of what we're doing is so very different. I've factored out the one part that made sense at least. - We need to transfer these updates into the various structures for the CGSCC pass manager. Once those were more sanely worked out, this became relatively easier. But some of those needs necessitated changes to the LazyCallGraph interface to make it significantly easier to extract the changed SCCs from an update operation. - We also need to update the CGSCC analysis manager as the shape of the graph changes. When an SCC is merged away we need to clear analyses associated with it from the analysis manager which we didn't have support for in the analysis manager infrsatructure. New SCCs are easy! But then we have the case that the original SCC has its shape changed but remains in the call graph. There we need to *invalidate* the analyses associated with it. - We also need to invalidate analyses after we *finish* processing an SCC. But the analyses we need to invalidate here are *only those for the newly updated SCC*!!! Because we only continue processing the bottom SCC, if we split SCCs apart the original one gets invalidated once when its shape changes and is not processed farther so its analyses will be correct. It is the bottom SCC which continues being processed and needs to have the "normal" invalidation done based on the preserved analyses set. All of this is mostly background and context for the changes here. Many thanks to all the reviewers who helped here. Especially Sanjoy who caught several interesting bugs in the graph algorithms, David, Sean, and others who all helped with feedback. Differential Revision: http://reviews.llvm.org/D21464 llvm-svn: 279618
2016-08-24 11:37:14 +02:00
LazyCallGraph::SCC, CGSCCAnalysisManager, LazyCallGraph &, \
CGSCCUpdateResult &>()); \
return Error::success(); \
} \
if (Name == "invalidate<" NAME ">") { \
CGPM.addPass(InvalidateAnalysisPass< \
std::remove_reference<decltype(CREATE_PASS)>::type>()); \
return Error::success(); \
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
}
#include "PassRegistry.def"
for (auto &C : CGSCCPipelineParsingCallbacks)
if (C(Name, CGPM, InnerPipeline))
return Error::success();
return make_error<StringError>(
formatv("unknown cgscc pass '{0}'", Name).str(),
inconvertibleErrorCode());
}
Error PassBuilder::parseFunctionPass(FunctionPassManager &FPM,
const PipelineElement &E,
bool VerifyEachPass, bool DebugLogging) {
auto &Name = E.Name;
auto &InnerPipeline = E.InnerPipeline;
// First handle complex passes like the pass managers which carry pipelines.
if (!InnerPipeline.empty()) {
if (Name == "function") {
FunctionPassManager NestedFPM(DebugLogging);
if (auto Err = parseFunctionPassPipeline(NestedFPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
// Add the nested pass manager with the appropriate adaptor.
FPM.addPass(std::move(NestedFPM));
return Error::success();
}
if (Name == "loop") {
LoopPassManager LPM(DebugLogging);
if (auto Err = parseLoopPassPipeline(LPM, InnerPipeline, VerifyEachPass,
DebugLogging))
return Err;
// Add the nested pass manager with the appropriate adaptor.
FPM.addPass(
createFunctionToLoopPassAdaptor(std::move(LPM), DebugLogging));
return Error::success();
}
if (auto Count = parseRepeatPassName(Name)) {
FunctionPassManager NestedFPM(DebugLogging);
if (auto Err = parseFunctionPassPipeline(NestedFPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
FPM.addPass(createRepeatedPass(*Count, std::move(NestedFPM)));
return Error::success();
}
for (auto &C : FunctionPipelineParsingCallbacks)
if (C(Name, FPM, InnerPipeline))
return Error::success();
// Normal passes can't have pipelines.
return make_error<StringError>(
formatv("invalid use of '{0}' pass as function pipeline", Name).str(),
inconvertibleErrorCode());
}
// Now expand the basic registered passes from the .inc file.
#define FUNCTION_PASS(NAME, CREATE_PASS) \
if (Name == NAME) { \
FPM.addPass(CREATE_PASS); \
return Error::success(); \
}
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
#define FUNCTION_ANALYSIS(NAME, CREATE_PASS) \
if (Name == "require<" NAME ">") { \
FPM.addPass( \
RequireAnalysisPass< \
std::remove_reference<decltype(CREATE_PASS)>::type, Function>()); \
return Error::success(); \
} \
if (Name == "invalidate<" NAME ">") { \
FPM.addPass(InvalidateAnalysisPass< \
std::remove_reference<decltype(CREATE_PASS)>::type>()); \
return Error::success(); \
[PM] Add a utility to the new pass manager for generating a pass which is a no-op other than requiring some analysis results be available. This can be used in real pass pipelines to force the usually lazy analysis running to eagerly compute something at a specific point, and it can be used to test the pass manager infrastructure (my primary use at the moment). I've also added bit of pipeline parsing magic to support generating these directly from the opt command so that you can directly use these when debugging your analysis. The syntax is: require<analysis-name> This can be used at any level of the pass manager. For example: cgscc(function(require<my-analysis>,no-op-function)) This would produce a no-op function pass requiring my-analysis, followed by a fully no-op function pass, both of these in a function pass manager which is nested inside of a bottom-up CGSCC pass manager which is in the top-level (implicit) module pass manager. I have zero attachment to the particular syntax I'm using here. Consider it a straw man for use while I'm testing and fleshing things out. Suggestions for better syntax welcome, and I'll update everything based on any consensus that develops. I've used this new functionality to more directly test the analysis printing rather than relying on the cgscc pass manager running an analysis for me. This is still minimally tested because I need to have analyses to run first! ;] That patch is next, but wanted to keep this one separate for easier review and discussion. llvm-svn: 225236
2015-01-06 03:10:51 +01:00
}
#include "PassRegistry.def"
for (auto &C : FunctionPipelineParsingCallbacks)
if (C(Name, FPM, InnerPipeline))
return Error::success();
return make_error<StringError>(
formatv("unknown function pass '{0}'", Name).str(),
inconvertibleErrorCode());
}
Error PassBuilder::parseLoopPass(LoopPassManager &LPM, const PipelineElement &E,
bool VerifyEachPass, bool DebugLogging) {
StringRef Name = E.Name;
auto &InnerPipeline = E.InnerPipeline;
// First handle complex passes like the pass managers which carry pipelines.
if (!InnerPipeline.empty()) {
if (Name == "loop") {
LoopPassManager NestedLPM(DebugLogging);
if (auto Err = parseLoopPassPipeline(NestedLPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
// Add the nested pass manager with the appropriate adaptor.
LPM.addPass(std::move(NestedLPM));
return Error::success();
}
if (auto Count = parseRepeatPassName(Name)) {
LoopPassManager NestedLPM(DebugLogging);
if (auto Err = parseLoopPassPipeline(NestedLPM, InnerPipeline,
VerifyEachPass, DebugLogging))
return Err;
LPM.addPass(createRepeatedPass(*Count, std::move(NestedLPM)));
return Error::success();
}
for (auto &C : LoopPipelineParsingCallbacks)
if (C(Name, LPM, InnerPipeline))
return Error::success();
// Normal passes can't have pipelines.
return make_error<StringError>(
formatv("invalid use of '{0}' pass as loop pipeline", Name).str(),
inconvertibleErrorCode());
}
// Now expand the basic registered passes from the .inc file.
#define LOOP_PASS(NAME, CREATE_PASS) \
if (Name == NAME) { \
LPM.addPass(CREATE_PASS); \
return Error::success(); \
}
#define LOOP_ANALYSIS(NAME, CREATE_PASS) \
if (Name == "require<" NAME ">") { \
LPM.addPass(RequireAnalysisPass< \
[PM] Rewrite the loop pass manager to use a worklist and augmented run arguments much like the CGSCC pass manager. This is a major redesign following the pattern establish for the CGSCC layer to support updates to the set of loops during the traversal of the loop nest and to support invalidation of analyses. An additional significant burden in the loop PM is that so many passes require access to a large number of function analyses. Manually ensuring these are cached, available, and preserved has been a long-standing burden in LLVM even with the help of the automatic scheduling in the old pass manager. And it made the new pass manager extremely unweildy. With this design, we can package the common analyses up while in a function pass and make them immediately available to all the loop passes. While in some cases this is unnecessary, I think the simplicity afforded is worth it. This does not (yet) address loop simplified form or LCSSA form, but those are the next things on my radar and I have a clear plan for them. While the patch is very large, most of it is either mechanically updating loop passes to the new API or the new testing for the loop PM. The code for it is reasonably compact. I have not yet updated all of the loop passes to correctly leverage the update mechanisms demonstrated in the unittests. I'll do that in follow-up patches along with improved FileCheck tests for those passes that ensure things work in more realistic scenarios. In many cases, there isn't much we can do with these until the loop simplified form and LCSSA form are in place. Differential Revision: https://reviews.llvm.org/D28292 llvm-svn: 291651
2017-01-11 07:23:21 +01:00
std::remove_reference<decltype(CREATE_PASS)>::type, Loop, \
LoopAnalysisManager, LoopStandardAnalysisResults &, \
LPMUpdater &>()); \
return Error::success(); \
} \
if (Name == "invalidate<" NAME ">") { \
LPM.addPass(InvalidateAnalysisPass< \
std::remove_reference<decltype(CREATE_PASS)>::type>()); \
return Error::success(); \
}
#include "PassRegistry.def"
for (auto &C : LoopPipelineParsingCallbacks)
if (C(Name, LPM, InnerPipeline))
return Error::success();
return make_error<StringError>(formatv("unknown loop pass '{0}'", Name).str(),
inconvertibleErrorCode());
}
bool PassBuilder::parseAAPassName(AAManager &AA, StringRef Name) {
#define MODULE_ALIAS_ANALYSIS(NAME, CREATE_PASS) \
if (Name == NAME) { \
AA.registerModuleAnalysis< \
std::remove_reference<decltype(CREATE_PASS)>::type>(); \
return true; \
}
#define FUNCTION_ALIAS_ANALYSIS(NAME, CREATE_PASS) \
if (Name == NAME) { \
AA.registerFunctionAnalysis< \
std::remove_reference<decltype(CREATE_PASS)>::type>(); \
return true; \
}
#include "PassRegistry.def"
for (auto &C : AAParsingCallbacks)
if (C(Name, AA))
return true;
return false;
}
Error PassBuilder::parseLoopPassPipeline(LoopPassManager &LPM,
ArrayRef<PipelineElement> Pipeline,
bool VerifyEachPass,
bool DebugLogging) {
for (const auto &Element : Pipeline) {
if (auto Err = parseLoopPass(LPM, Element, VerifyEachPass, DebugLogging))
return Err;
// FIXME: No verifier support for Loop passes!
}
return Error::success();
}
Error PassBuilder::parseFunctionPassPipeline(FunctionPassManager &FPM,
ArrayRef<PipelineElement> Pipeline,
bool VerifyEachPass,
bool DebugLogging) {
for (const auto &Element : Pipeline) {
if (auto Err =
parseFunctionPass(FPM, Element, VerifyEachPass, DebugLogging))
return Err;
if (VerifyEachPass)
FPM.addPass(VerifierPass());
}
return Error::success();
}
Error PassBuilder::parseCGSCCPassPipeline(CGSCCPassManager &CGPM,
ArrayRef<PipelineElement> Pipeline,
bool VerifyEachPass,
bool DebugLogging) {
for (const auto &Element : Pipeline) {
if (auto Err = parseCGSCCPass(CGPM, Element, VerifyEachPass, DebugLogging))
return Err;
// FIXME: No verifier support for CGSCC passes!
}
return Error::success();
}
void PassBuilder::crossRegisterProxies(LoopAnalysisManager &LAM,
FunctionAnalysisManager &FAM,
CGSCCAnalysisManager &CGAM,
ModuleAnalysisManager &MAM) {
MAM.registerPass([&] { return FunctionAnalysisManagerModuleProxy(FAM); });
MAM.registerPass([&] { return CGSCCAnalysisManagerModuleProxy(CGAM); });
CGAM.registerPass([&] { return ModuleAnalysisManagerCGSCCProxy(MAM); });
FAM.registerPass([&] { return CGSCCAnalysisManagerFunctionProxy(CGAM); });
FAM.registerPass([&] { return ModuleAnalysisManagerFunctionProxy(MAM); });
FAM.registerPass([&] { return LoopAnalysisManagerFunctionProxy(LAM); });
LAM.registerPass([&] { return FunctionAnalysisManagerLoopProxy(FAM); });
}
Error PassBuilder::parseModulePassPipeline(ModulePassManager &MPM,
ArrayRef<PipelineElement> Pipeline,
bool VerifyEachPass,
bool DebugLogging) {
for (const auto &Element : Pipeline) {
if (auto Err = parseModulePass(MPM, Element, VerifyEachPass, DebugLogging))
return Err;
if (VerifyEachPass)
MPM.addPass(VerifierPass());
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
}
return Error::success();
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
}
// Primary pass pipeline description parsing routine for a \c ModulePassManager
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
// FIXME: Should this routine accept a TargetMachine or require the caller to
// pre-populate the analysis managers with target-specific stuff?
Error PassBuilder::parsePassPipeline(ModulePassManager &MPM,
StringRef PipelineText,
bool VerifyEachPass, bool DebugLogging) {
auto Pipeline = parsePipelineText(PipelineText);
if (!Pipeline || Pipeline->empty())
return make_error<StringError>(
formatv("invalid pipeline '{0}'", PipelineText).str(),
inconvertibleErrorCode());
// If the first name isn't at the module layer, wrap the pipeline up
// automatically.
StringRef FirstName = Pipeline->front().Name;
if (!isModulePassName(FirstName, ModulePipelineParsingCallbacks)) {
if (isCGSCCPassName(FirstName, CGSCCPipelineParsingCallbacks)) {
Pipeline = {{"cgscc", std::move(*Pipeline)}};
} else if (isFunctionPassName(FirstName,
FunctionPipelineParsingCallbacks)) {
Pipeline = {{"function", std::move(*Pipeline)}};
} else if (isLoopPassName(FirstName, LoopPipelineParsingCallbacks)) {
Pipeline = {{"function", {{"loop", std::move(*Pipeline)}}}};
} else {
for (auto &C : TopLevelPipelineParsingCallbacks)
if (C(MPM, *Pipeline, VerifyEachPass, DebugLogging))
return Error::success();
// Unknown pass or pipeline name!
auto &InnerPipeline = Pipeline->front().InnerPipeline;
return make_error<StringError>(
formatv("unknown {0} name '{1}'",
(InnerPipeline.empty() ? "pass" : "pipeline"), FirstName)
.str(),
inconvertibleErrorCode());
}
}
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
if (auto Err =
parseModulePassPipeline(MPM, *Pipeline, VerifyEachPass, DebugLogging))
return Err;
return Error::success();
[PM] Add (very skeletal) support to opt for running the new pass manager. I cannot emphasize enough that this is a WIP. =] I expect it to change a great deal as things stabilize, but I think its really important to get *some* functionality here so that the infrastructure can be tested more traditionally from the commandline. The current design is looking something like this: ./bin/opt -passes='module(pass_a,pass_b,function(pass_c,pass_d))' So rather than custom-parsed flags, there is a single flag with a string argument that is parsed into the pass pipeline structure. This makes it really easy to have nice structural properties that are very explicit. There is one obvious and important shortcut. You can start off the pipeline with a pass, and the minimal context of pass managers will be built around the entire specified pipeline. This makes the common case for tests super easy: ./bin/opt -passes=instcombine,sroa,gvn But this won't introduce any of the complexity of the fully inferred old system -- we only ever do this for the *entire* argument, and we only look at the first pass. If the other passes don't fit in the pass manager selected it is a hard error. The other interesting aspect here is that I'm not relying on any registration facilities. Such facilities may be unavoidable for supporting plugins, but I have alternative ideas for plugins that I'd like to try first. My plan is essentially to build everything without registration until we hit an absolute requirement. Instead of registration of pass names, there will be a library dedicated to parsing pass names and the pass pipeline strings described above. Currently, this is directly embedded into opt for simplicity as it is very early, but I plan to eventually pull this into a library that opt, bugpoint, and even Clang can depend on. It should end up as a good home for things like the existing PassManagerBuilder as well. There are a bunch of FIXMEs in the code for the parts of this that are just stubbed out to make the patch more incremental. A quick list of what's coming up directly after this: - Support for function passes and building the structured nesting. - Support for printing the pass structure, and FileCheck tests of all of this code. - The .def-file based pass name parsing. - IR priting passes and the corresponding tests. Some obvious things that I'm not going to do right now, but am definitely planning on as the pass manager work gets a bit further: - Pull the parsing into library, including the builders. - Thread the rest of the target stuff into the new pass manager. - Wire support for the new pass manager up to llc. - Plugin support. Some things that I'd like to have, but are significantly lower on my priority list. I'll get to these eventually, but they may also be places where others want to contribute: - Adding nice error reporting for broken pass pipeline descriptions. - Typo-correction for pass names. llvm-svn: 198998
2014-01-11 09:16:35 +01:00
}
// Primary pass pipeline description parsing routine for a \c CGSCCPassManager
Error PassBuilder::parsePassPipeline(CGSCCPassManager &CGPM,
StringRef PipelineText,
bool VerifyEachPass, bool DebugLogging) {
auto Pipeline = parsePipelineText(PipelineText);
if (!Pipeline || Pipeline->empty())
return make_error<StringError>(
formatv("invalid pipeline '{0}'", PipelineText).str(),
inconvertibleErrorCode());
StringRef FirstName = Pipeline->front().Name;
if (!isCGSCCPassName(FirstName, CGSCCPipelineParsingCallbacks))
return make_error<StringError>(
formatv("unknown cgscc pass '{0}' in pipeline '{1}'", FirstName,
PipelineText)
.str(),
inconvertibleErrorCode());
if (auto Err =
parseCGSCCPassPipeline(CGPM, *Pipeline, VerifyEachPass, DebugLogging))
return Err;
return Error::success();
}
// Primary pass pipeline description parsing routine for a \c
// FunctionPassManager
Error PassBuilder::parsePassPipeline(FunctionPassManager &FPM,
StringRef PipelineText,
bool VerifyEachPass, bool DebugLogging) {
auto Pipeline = parsePipelineText(PipelineText);
if (!Pipeline || Pipeline->empty())
return make_error<StringError>(
formatv("invalid pipeline '{0}'", PipelineText).str(),
inconvertibleErrorCode());
StringRef FirstName = Pipeline->front().Name;
if (!isFunctionPassName(FirstName, FunctionPipelineParsingCallbacks))
return make_error<StringError>(
formatv("unknown function pass '{0}' in pipeline '{1}'", FirstName,
PipelineText)
.str(),
inconvertibleErrorCode());
if (auto Err = parseFunctionPassPipeline(FPM, *Pipeline, VerifyEachPass,
DebugLogging))
return Err;
return Error::success();
}
// Primary pass pipeline description parsing routine for a \c LoopPassManager
Error PassBuilder::parsePassPipeline(LoopPassManager &CGPM,
StringRef PipelineText,
bool VerifyEachPass, bool DebugLogging) {
auto Pipeline = parsePipelineText(PipelineText);
if (!Pipeline || Pipeline->empty())
return make_error<StringError>(
formatv("invalid pipeline '{0}'", PipelineText).str(),
inconvertibleErrorCode());
if (auto Err =
parseLoopPassPipeline(CGPM, *Pipeline, VerifyEachPass, DebugLogging))
return Err;
return Error::success();
}
Error PassBuilder::parseAAPipeline(AAManager &AA, StringRef PipelineText) {
// If the pipeline just consists of the word 'default' just replace the AA
// manager with our default one.
if (PipelineText == "default") {
AA = buildDefaultAAPipeline();
return Error::success();
}
while (!PipelineText.empty()) {
StringRef Name;
std::tie(Name, PipelineText) = PipelineText.split(',');
if (!parseAAPassName(AA, Name))
return make_error<StringError>(
formatv("unknown alias analysis name '{0}'", Name).str(),
inconvertibleErrorCode());
}
return Error::success();
}